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Jon Danielsson

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Danielsson, Jon & Valenzuela, Marcela & Zer, Ilknur, 2023. "The impact of risk cycles on business cycles: a historical view," LSE Research Online Documents on Economics 117384, London School of Economics and Political Science, LSE Library.

    Cited by:

    1. Andrea Fabiani & Martha López & José-Luis Peydró & Paul E. Soto, 2023. "Capital Controls, Corporate Debt and Real Effects: Evidence from Boom and Crisis Times," Borradores de Economia 1244, Banco de la Republica de Colombia.

  2. Jon Danielsson & Andreas Uthemann, 2023. "On the use of artificial intelligence in financial regulations and the impact on financial stability," Papers 2310.11293, arXiv.org, revised Jun 2024.

    Cited by:

    1. Paraná, Edemilson, 2024. "AI as financial infrastructure?," SocArXiv ub92z, Center for Open Science.
    2. Iñaki Aldasoro & Leonardo Gambacorta & Anton Korinek & Vatsala Shreeti & Merlin Stein, 2024. "Intelligent financial system: how AI is transforming finance," BIS Working Papers 1194, Bank for International Settlements.

  3. Danielsson, Jon & Macrae, Robert & Uthemann, Andreas, 2022. "Artificial intelligence and systemic risk," LSE Research Online Documents on Economics 111601, London School of Economics and Political Science, LSE Library.

    Cited by:

    1. Amadxarif, Zahid & Brookes, James & Garbarino, Nicola & Patel, Rajan & Walczak, Eryk, 2019. "The language of rules: textual complexity in banking reforms," Bank of England working papers 834, Bank of England.
    2. Oliver Kovacs, 2022. "Inclusive Industry 4.0 in Europe—Japanese Lessons on Socially Responsible Industry 4.0," Social Sciences, MDPI, vol. 11(1), pages 1-26, January.
    3. Arnoud V. den Boer & Janusz M. Meylahn & Maarten Pieter Schinkel, 2022. "Artificial Collusion: Examining Supracompetitive Pricing by Q-learning Algorithms," Tinbergen Institute Discussion Papers 22-067/VII, Tinbergen Institute.
    4. Buckmann, Marcus & Haldane, Andy & Hüser, Anne-Caroline, 2021. "Comparing minds and machines: implications for financial stability," Bank of England working papers 937, Bank of England.
    5. Hassan H. H. Aldboush & Marah Ferdous, 2023. "Building Trust in Fintech: An Analysis of Ethical and Privacy Considerations in the Intersection of Big Data, AI, and Customer Trust," IJFS, MDPI, vol. 11(3), pages 1-18, July.
    6. Jon Danielsson & Andreas Uthemann, 2023. "On the use of artificial intelligence in financial regulations and the impact on financial stability," Papers 2310.11293, arXiv.org, revised Jun 2024.
    7. Anil Savio Kavuri & Alistair Milne, 2019. "FinTech and the future of financial services: What are the research gaps?," CAMA Working Papers 2019-18, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.

  4. Jón Daníelsson & Marcela Valenzuela & Ilknur Zer, 2022. "How global risk perceptions affect economic growth," FEDS Notes 2022-02-03-2, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Li, Tianyu & Yue, Xiao-Guang & Waheed, Humayun & Yıldırım, Bilal, 2023. "Can energy efficiency and natural resources foster economic growth? Evidence from BRICS countries," Resources Policy, Elsevier, vol. 83(C).
    2. Ye, Xinyu & Lin, Runtian, 2023. "Financial market risk and innovation nexus with growth: Channelizing the role of natural resources volatility for United States," Resources Policy, Elsevier, vol. 81(C).

  5. Jon Danielsson & Lerby Ergun & Laurens de Haan & Casper G. de Vries, 2019. "Tail Index Estimation: Quantile-Driven Threshold Selection," Staff Working Papers 19-28, Bank of Canada.

    Cited by:

    1. Małgorzata Just & Krzysztof Echaust, 2021. "An Optimal Tail Selection in Risk Measurement," Risks, MDPI, vol. 9(4), pages 1-16, April.
    2. Krzysztof Echaust & Małgorzata Just, 2020. "Value at Risk Estimation Using the GARCH-EVT Approach with Optimal Tail Selection," Mathematics, MDPI, vol. 8(1), pages 1-24, January.
    3. Tjeerd de Vries & Alexis Akira Toda, 2021. "Capital and Labor Income Pareto Exponents across Time and Space," LIS Working papers 794, LIS Cross-National Data Center in Luxembourg.
    4. Matthias Schnaubelt & Jonas Rende & Christopher Krauss, 2019. "Testing Stylized Facts of Bitcoin Limit Order Books," JRFM, MDPI, vol. 12(1), pages 1-30, February.
    5. Krzysztof Echaust & Małgorzata Just, 2021. "Tail Dependence between Crude Oil Volatility Index and WTI Oil Price Movements during the COVID-19 Pandemic," Energies, MDPI, vol. 14(14), pages 1-21, July.
    6. Echaust, Krzysztof & Just, Małgorzata & Kliber, Agata, 2024. "To hedge or not to hedge? Cryptocurrencies, gold and oil against stock market risk," International Review of Financial Analysis, Elsevier, vol. 94(C).
    7. Jon Danielsson & Lerby Ergun & Casper G. de Vries, 2018. "Challenges in Implementing Worst-Case Analysis," Staff Working Papers 18-47, Bank of Canada.
    8. Hoga, Yannick, 2021. "The uncertainty in extreme risk forecasts from covariate-augmented volatility models," International Journal of Forecasting, Elsevier, vol. 37(2), pages 675-686.
    9. Lerby Ergun, 2019. "Extreme Downside Risk in Asset Returns," Staff Working Papers 19-46, Bank of Canada.
    10. Natalia Markovich & Maksim Ryzhov & Marijus Vaičiulis, 2022. "Tail Index Estimation of PageRanks in Evolving Random Graphs," Mathematics, MDPI, vol. 10(16), pages 1-26, August.
    11. Echaust, Krzysztof, 2021. "Asymmetric tail dependence between stock market returns and implied volatility," The Journal of Economic Asymmetries, Elsevier, vol. 23(C).
    12. Ergun, Lerby M., 2016. "Disaster and fortune risk in asset returns," LSE Research Online Documents on Economics 66194, London School of Economics and Political Science, LSE Library.

  6. Jon Danielsson & Lerby Ergun & Casper G. de Vries, 2018. "Challenges in Implementing Worst-Case Analysis," Staff Working Papers 18-47, Bank of Canada.

    Cited by:

    1. Gourieroux, Christian & Tiomo, Andre, 2019. "The Evaluation of Model Risk for Probability of Default and Expected Loss," MPRA Paper 95795, University Library of Munich, Germany.

  7. Danielsson, Jon & Valenzuela, Marcela & Zer, Ilknur, 2018. "Learning from history: volatility and financial crises," LSE Research Online Documents on Economics 118942, London School of Economics and Political Science, LSE Library.

    Cited by:

    1. He, Wenjia & He, Wenjing & Xu, Dandan & Yue, Pengpeng, 2023. "Economic volatility, banks’ risk accumulation and systemic risk," Finance Research Letters, Elsevier, vol. 57(C).
    2. Samrat Goswami & Rangan Gupta & Mark E. Wohar, 2019. "Historical Volatility of Advanced Equity Markets: The Role of Local and Global Crises," Working Papers 201931, University of Pretoria, Department of Economics.
    3. Hristov, Nikolay & Roth, Markus, 2019. "Uncertainty shocks and financial crisis indicators," Discussion Papers 36/2019, Deutsche Bundesbank.
    4. Viswanathan Nagarajan & Prateek Sharma, 2021. "Firm internationalization and long‐term impact of the Covid‐19 pandemic," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(6), pages 1477-1491, September.
    5. Wu, Ji & Yao, Yao & Chen, Minghua & Jeon, Bang Nam, 2020. "Economic uncertainty and bank risk: Evidence from emerging economies," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 68(C).
    6. Bastidon, Cécile & Jawadi, Fredj, 2024. "Trade fragmentation and volatility-of-volatility networks," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 91(C).
    7. Efrem Castelnuovo, 2022. "Uncertainty Before and During COVID-19: A Survey," "Marco Fanno" Working Papers 0279, Dipartimento di Scienze Economiche "Marco Fanno".
    8. Scott A. Brave & Jose A. Lopez, 2019. "Calibrating Macroprudential Policy to Forecasts of Financial Stability," International Journal of Central Banking, International Journal of Central Banking, vol. 15(1), pages 1-59, March.
    9. Liu, Wei & Garrett, Ian, 2023. "Regime-dependent effects of macroeconomic uncertainty on realized volatility in the U.S. stock market," Economic Modelling, Elsevier, vol. 128(C).
    10. Kuvshinov, Dmitry & Richter, Björn & Zimmermann, Kaspar, 2022. "The shifts and the shocks: bank risk, leverage, and the macroeconomy," Working Paper Series 2672, European Central Bank.
    11. Youtao Xiang & Sumuya Borjigin, 2024. "High–low volatility spillover network between economic policy uncertainty and commodity futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 44(8), pages 1295-1319, August.
    12. Michal Franta, 2023. "The Application of Multiple-Output Quantile Regression on the US Financial Cycle," Working Papers 2023/2, Czech National Bank.
    13. Lepers, Etienne & Sánchez Serrano, Antonio, 2017. "Decomposing financial (in)stability in emerging economies," ESRB Working Paper Series 39, European Systemic Risk Board.
    14. Maria Elvira Mancino & Simona Sanfelici, 2020. "Identifying financial instability conditions using high frequency data," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(1), pages 221-242, January.
    15. Jose A. Lopez & Kris James Mitchener, 2018. "Uncertainty and Hyperinflation: European Inflation Dynamics after World War I," Working Paper Series 2018-6, Federal Reserve Bank of San Francisco.
    16. Long, Huaigang & Chiah, Mardy & Zaremba, Adam & Umar, Zaghum, 2024. "Changes in shares outstanding and country stock returns around the world," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 90(C).
    17. Danilo Cascaldi-Garcia & Cisil Sarisoy & Juan M. Londono & Bo Sun & Deepa D. Datta & Thiago Ferreira & Olesya Grishchenko & Mohammad R. Jahan-Parvar & Francesca Loria & Sai Ma & Marius Rodriguez & Ilk, 2023. "What Is Certain about Uncertainty?," Journal of Economic Literature, American Economic Association, vol. 61(2), pages 624-654, June.
    18. Piotr Bańbuła & Marcin Pietrzak, 2021. "Early Warning Models of Banking Crises: VIX and High Profits," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 13(4), pages 381-403, December.
    19. Moretto, Michele & Parigi, Bruno M., 2024. "Competitive runs on Government debt," International Review of Economics & Finance, Elsevier, vol. 89(PB), pages 131-158.
    20. Bora Durdu & Alex Martin & Ilknur Zer, 2019. "The Role of U.S. Monetary Policy in Global Banking Crises," Finance and Economics Discussion Series 2019-039, Board of Governors of the Federal Reserve System (U.S.).
    21. Felipe de Oliveira & Sinézio Fernandes Maia, 2017. "Volatility Forecasting before the Subprime Crisis," EcoMod2017 10376, EcoMod.
    22. Zaremba, Adam & Kizys, Renatas & Aharon, David Y. & Demir, Ender, 2020. "Infected Markets: Novel Coronavirus, Government Interventions, and Stock Return Volatility around the Globe," Finance Research Letters, Elsevier, vol. 35(C).
    23. Daníelsson, Jón & Macrae, Robert & Uthemann, Andreas, 2022. "Artificial intelligence and systemic risk," Journal of Banking & Finance, Elsevier, vol. 140(C).
    24. Mohd Ziaur Rehman & Shabeer Khan & Ghulam Abbas & Mohammed Alhashim, 2023. "Novel COVID-19 Outbreak and Global Uncertainty in the Top-10 Affected Countries: Evidence from Wavelet Coherence Approach," Sustainability, MDPI, vol. 15(6), pages 1-20, March.
    25. Danielsson, Jon & Valenzuela, Marcela & Zer, Ilknur, 2023. "The impact of risk cycles on business cycles: a historical view," LSE Research Online Documents on Economics 117384, London School of Economics and Political Science, LSE Library.
    26. David le Bris, 2018. "What is a market crash?," Economic History Review, Economic History Society, vol. 71(2), pages 480-505, May.
    27. Long, Huaigang & Zaremba, Adam & Zhou, Wenyu & Bouri, Elie, 2022. "Macroeconomics matter: Leading economic indicators and the cross-section of global stock returns," Journal of Financial Markets, Elsevier, vol. 61(C).
    28. Andrews, Antony & Kumar, Nikeel Nishkar, 2024. "Decoding financial performance of US-listed entities: A sectoral exploration of input efficiency amid stochastic volatility," Finance Research Letters, Elsevier, vol. 64(C).
    29. Basak, Deepal & Murray, Alexander & Zhao, Yunhui, 2017. "Does Financial Tranquility Call for More Stringent Regulation?," MPRA Paper 81373, University Library of Munich, Germany.
    30. Christian Conrad & Robert F. Engle, 2021. "Modelling Volatility Cycles: The (MF)2 GARCH Model," Working Paper series 21-05, Rimini Centre for Economic Analysis.
    31. Atanasov, Victoria, 2021. "Unemployment and aggregate stock returns," Journal of Banking & Finance, Elsevier, vol. 129(C).
    32. Rozite, Kristiana & Bezemer, Dirk J. & Jacobs, Jan P.A.M., 2019. "Towards a financial cycle for the U.S., 1973–2014," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    33. Alessi, Lucia & Balduzzi, Pierluigi & Savona, Roberto, 2019. "Anatomy of a Sovereign Debt Crisis: CDS Spreads and Real-Time Macroeconomic Data," JRC Working Papers in Economics and Finance 2019-03, Joint Research Centre, European Commission.
    34. Beirne, John & Sugandi, Eric, 2023. "Risk-off shocks and spillovers in safe havens," Pacific-Basin Finance Journal, Elsevier, vol. 80(C).
    35. Lan, YiJia, 2024. "Does Fintech development affect capital misallocation: A non-linear and spatial spillover perspective," Finance Research Letters, Elsevier, vol. 60(C).
    36. Eita, Joel Hinaunye & Ngobese, Sibusiso Blessing & Muteba Mwamba, John Weirstrass, 2020. "An empirical analysis of systemic and macroeconomic risk in South Africa: an application of the quantile regression," MPRA Paper 101493, University Library of Munich, Germany.
    37. Li, Leon & Miu, Peter, 2023. "Are cryptocurrencies a safe haven for stock investors? A regime-switching approach," Journal of Empirical Finance, Elsevier, vol. 70(C), pages 367-385.
    38. Kubitza, Christian, 2024. "Tackling the volatility paradox: spillover persistence and systemic risk," Working Paper Series 2981, European Central Bank.
    39. Danielsson, Jon & Macrae, Robert & Tsomocos, Dimitrios P. & Zigrand, Jean-Pierre, 2016. "Why macropru can end up being procyclical," LSE Research Online Documents on Economics 70711, London School of Economics and Political Science, LSE Library.
    40. Iori, G. & Gurgone, A., 2019. "A multi-agent methodology to assess the effectiveness of alternative systemic risk adjusted capital requirements," Working Papers 19/05, Department of Economics, City University London.
    41. Bluwstein, Kristina & Buckmann, Marcus & Joseph, Andreas & Kapadia, Sujit & Şimşek, Özgür, 2021. "Credit growth, the yield curve and financial crisis prediction: evidence from a machine learning approach," Working Paper Series 2614, European Central Bank.
    42. Cakici, Nusret & Zaremba, Adam, 2023. "Misery on Main Street, victory on Wall Street: Economic discomfort and the cross-section of global stock returns," Journal of Banking & Finance, Elsevier, vol. 149(C).
    43. Chen, Bin-xia & Sun, Yan-lin, 2024. "Financial market connectedness between the U.S. and China: A new perspective based on non-linear causality networks," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 90(C).
    44. Mahir Binici & Aytül Ganioglu, 2021. "Net external position, financial development, and banking crisis," Empirical Economics, Springer, vol. 61(3), pages 1225-1251, September.
    45. Gabriele Galati & Richhild Moessner, 2018. "What Do We Know About the Effects of Macroprudential Policy?," Economica, London School of Economics and Political Science, vol. 85(340), pages 735-770, October.
    46. Zaremba, Adam & Cakici, Nusret & Bianchi, Robert J. & Long, Huaigang, 2023. "Interest rate changes and the cross-section of global equity returns," Journal of Economic Dynamics and Control, Elsevier, vol. 147(C).
    47. B. De Backer, 2018. "Does financial market volatility influence the real economy?," Economic Review, National Bank of Belgium, issue iv, pages 107-124, december.
    48. Athanasios Triantafyllou & George Dotsis & Alexandros Sarris, 2020. "Assessing the Vulnerability to Price Spikes in Agricultural Commodity Markets," Journal of Agricultural Economics, Wiley Blackwell, vol. 71(3), pages 631-651, September.
    49. Adrian Fernandez-Perez & Ana-Maria Fuertes & Joelle Miffre, 2023. "The Negative Pricing of the May 2020 WTI Contract," Post-Print hal-03933797, HAL.
    50. Si-yao Wei & Wei-xing Zhou, 2024. "The resilience of China's financial markets: With a focus on the impact of its climate policy uncertainty," Papers 2409.18422, arXiv.org.
    51. Jean-Paul Laurent & Hassan Omidi Firouzi, 2022. "Market Risk and Volatility Weighted Historical Simulation After Basel III," Working Papers hal-03679434, HAL.
    52. Zhou, Dong-hai & Liu, Xiao-xing, 2024. "Does systemic risk in the fund markets predict future economic downturns?," International Review of Financial Analysis, Elsevier, vol. 92(C).
    53. Kabundi, Alain & De Simone, Francisco Nadal, 2022. "Euro area banking and monetary policy shocks in the QE era," Journal of Financial Stability, Elsevier, vol. 63(C).
    54. C. Bora Durdu & Alex Martin & Ilknur Zer, 2020. "The Role of US Monetary Policy in Banking Crises Across the World," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 68(1), pages 66-107, March.
    55. Quast, Josefine & Wolters, Maik H., 2019. "Reliable Real-time Output Gap Estimates Based on a Modified Hamilton Filter," VfS Annual Conference 2019 (Leipzig): 30 Years after the Fall of the Berlin Wall - Democracy and Market Economy 203535, Verein für Socialpolitik / German Economic Association.
    56. Fernandez-Gallardo, Alvaro, 2023. "Preventing financial disasters: Macroprudential policy and financial crises," European Economic Review, Elsevier, vol. 151(C).
    57. Hristov, Nikolay & Roth, Markus, 2022. "Uncertainty shocks and systemic-risk indicators," Journal of International Money and Finance, Elsevier, vol. 122(C).
    58. Altınkeski, Buket Kırcı & Cevik, Emrah Ismail & Dibooglu, Sel & Kutan, Ali M., 2022. "Financial stress transmission between the U.S. and the Euro Area," Journal of Financial Stability, Elsevier, vol. 60(C).
    59. Bevilacqua, Mattia & Tunaru, Radu, 2021. "The SKEW index: Extracting what has been left," Journal of Financial Stability, Elsevier, vol. 53(C).
    60. Zaimovic Azra & Arnaut-Berilo Almira & Bešlija Rijad, 2024. "International Portfolio Diversification Benefits: An Empirical Investigation of the 28 European Stock Markets During the Period 2014–2024," South East European Journal of Economics and Business, Sciendo, vol. 19(1), pages 96-112.
    61. Paola Leone & Pasqualina Porretta & Luca Riccetti, 2021. "European Significant Bank Stock Market Volatility: Is there a Bail-In Effect?," International Journal of Business and Management, Canadian Center of Science and Education, vol. 14(5), pages 1-32, July.
    62. Yuriy Bilan & Maryna Brychko & Anna Buriak & Tetyana Vasilyeva, 2019. "Financial, business and trust cycles: the issues of synchronization," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 37(1), pages 113-138.
    63. Somnath Chatterjee & Ching‐Wai (Jeremy) Chiu & Thibaut Duprey & Sinem Hacıoğlu‐Hoke, 2022. "Systemic Financial Stress and Macroeconomic Amplifications in the United Kingdom," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(2), pages 380-400, April.
    64. Venelina Nikolova & Juan E. Trinidad Segovia & Manuel Fernández-Martínez & Miguel Angel Sánchez-Granero, 2020. "A Novel Methodology to Calculate the Probability of Volatility Clusters in Financial Series: An Application to Cryptocurrency Markets," Mathematics, MDPI, vol. 8(8), pages 1-15, July.
    65. Mariya Paskaleva & Ani Stoykova, 2021. "The Influence of Uncertainty on Market Efficiency: Evidence from Selected European Financial Markets," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 8, pages 175-198.
    66. Dridi, Ichrak & Boughrara, Adel, 2023. "Flexible inflation targeting and stock market volatility: Evidence from emerging market economies," Economic Modelling, Elsevier, vol. 126(C).
    67. Esti Kemp & Rene van Stralen & Alexandros Vardoulakis & Peter J. Wierts, 2018. "The Non-Bank Credit Cycle," Finance and Economics Discussion Series 2018-076, Board of Governors of the Federal Reserve System (U.S.).
    68. Xianfei Hui & Baiqing Sun & Indranil SenGupta & Yan Zhou & Hui Jiang, 2022. "Stochastic volatility modeling of high-frequency CSI 300 index and dynamic jump prediction driven by machine learning," Papers 2204.02891, arXiv.org, revised Jan 2023.
    69. Chen, Rongda & Bao, Weiwei & Jin, Chenglu, 2021. "Investor sentiment and predictability for volatility on energy futures Markets: Evidence from China," International Review of Economics & Finance, Elsevier, vol. 75(C), pages 112-129.
    70. Mary Chen & Matthew DeHaven & Isabel Kitschelt & Seung Jung Lee & Martin Sicilian, 2023. "Identifying Financial Crises Using Machine Learning on Textual Data," International Finance Discussion Papers 1374, Board of Governors of the Federal Reserve System (U.S.).
    71. Wu, Ji & Yao, Yao & Chen, Minghua & Jeon, Bang Nam, 2021. "Does economic uncertainty affect the soundness of banks? Evidence from emerging Asian economies," Journal of Asian Economics, Elsevier, vol. 77(C).
    72. Gross, Marco, 2022. "Beautiful cycles: A theory and a model implying a curious role for interest," Economic Modelling, Elsevier, vol. 106(C).
    73. Bevilacqua, Mattia & Tunaru, Radu, 2021. "The SKEW index: extracting what has been left," LSE Research Online Documents on Economics 108198, London School of Economics and Political Science, LSE Library.
    74. Hunjra, Ahmed Imran & Kijkasiwat, Ploypailin & Arunachalam, Murugesh & Hammami, Helmi, 2021. "Covid-19 health policy intervention and volatility of Asian capital markets," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    75. Fang, Yi & Wang, Yanru & Wang, Qi & Zhao, Yang, 2023. "Policy uncertainty and bank systemic risk: A perspective of risk decomposition," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 88(C).
    76. Danielsson, Jon & Valenzuela, Marcela & Zer, Ilknur, 2020. "Financial volatility and economic growth, 1870-2016," LSE Research Online Documents on Economics 118886, London School of Economics and Political Science, LSE Library.
    77. Iyke, Bernard Njindan & Maheepala, M.M.J.D., 2022. "Conventional monetary policy, COVID-19, and stock markets in emerging economies," Pacific-Basin Finance Journal, Elsevier, vol. 76(C).
    78. de Haan, Jakob & Fang, Yi & Jing, Zhongbo, 2020. "Does the risk on banks’ balance sheets predict banking crises? New evidence for developing countries," International Review of Economics & Finance, Elsevier, vol. 68(C), pages 254-268.
    79. Zahra, Shaker A., 2021. "International entrepreneurship in the post Covid world," Journal of World Business, Elsevier, vol. 56(1).
    80. Uddin, Moshfique & Chowdhury, Anup & Anderson, Keith & Chaudhuri, Kausik, 2021. "The effect of COVID – 19 pandemic on global stock market volatility: Can economic strength help to manage the uncertainty?," Journal of Business Research, Elsevier, vol. 128(C), pages 31-44.
    81. Huynh, Nhan, 2023. "Unemployment beta and the cross-section of stock returns: Evidence from Australia," International Review of Financial Analysis, Elsevier, vol. 86(C).
    82. Deepal Basak & Mr. Yunhui Zhao, 2018. "Does Financial Tranquility Call for Stringent Regulation?," IMF Working Papers 2018/123, International Monetary Fund.
    83. Zhou, Dong-hai & Liu, Xiao-xing, 2023. "Do world stock markets “jump” together? A measure of high-frequency volatility risk spillover networks," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 88(C).
    84. Gram, Dennis & Karapanagiotis, Pantelis & Krzyzanowski, Jan & Liebald, Marius & Walz, Uwe, 2021. "An extensible model for historical financial data with an application to German company and stock market data," SAFE Working Paper Series 300, Leibniz Institute for Financial Research SAFE.
    85. Baltussen, Guido & Swinkels, Laurens & Van Vliet, Pim, 2021. "Global factor premiums," Journal of Financial Economics, Elsevier, vol. 142(3), pages 1128-1154.
    86. Zhiyong Zheng & Jian He & Yingjie Yang & Mengting Zhang & Desheng Wu & Yang Bian & Jianhong Cao, 2023. "Does financial leverage volatility induce systemic financial risk? Empirical insight based on the Chinese fintech sector," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(2), pages 1142-1161, March.
    87. Wu, Ji & Li, Huimin & Zheng, Dazhi & Liu, Xiaoyan, 2021. "Economic uncertainty or financial uncertainty? An empirical analysis of bank risk-taking in Asian emerging markets," Finance Research Letters, Elsevier, vol. 39(C).
    88. Lee, Seung Jung & Posenau, Kelly E. & Stebunovs, Viktors, 2020. "The anatomy of financial vulnerabilities and banking crises," Journal of Banking & Finance, Elsevier, vol. 112(C).

  8. Ron Anderson & Jon Danielsson & Chikako Baba & Mr. Udaibir S Das & Mr. Heedon Kang & Miguel A. Segoviano, 2018. "Macroprudential Stress Tests and Policies: Searching for Robust and Implementable Frameworks," IMF Working Papers 2018/197, International Monetary Fund.

    Cited by:

    1. Farmer, J. Doyne & Kleinnijenhuis, Alissa & Nahai-Williamson, Paul & Wetzer, Thom, 2020. "Foundations of system-wide financial stress testing with heterogeneous institutions," INET Oxford Working Papers 2020-14, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
    2. Ros, Greg, 2020. "The making of a cyber crash: a conceptual model for systemic risk in the financial sector," ESRB Occasional Paper Series 16, European Systemic Risk Board.
    3. Ragnar Nymoen & Kari Pedersen & Jon Ivar Sjåberg, 2019. "Estimation of Effects of Recent Macroprudential Policies in a Sample of Advanced Open Economies," IJFS, MDPI, vol. 7(2), pages 1-20, May.
    4. Wiersema, Garbrand & Kleinnijenhuis, Alissa M. & Wetzer, Thom & Farmer, J. Doyne, 2023. "Scenario-free analysis of financial stability with interacting contagion channels," Journal of Banking & Finance, Elsevier, vol. 146(C).
    5. Mercy Berman DeMenno, 2023. "Environmental sustainability and financial stability: can macroprudential stress testing measure and mitigate climate-related systemic financial risk?," Journal of Banking Regulation, Palgrave Macmillan, vol. 24(4), pages 445-473, December.
    6. Richard B. Berner & Stephen G. Cecchetti & Kermit L. Schoenholtz, 2019. "Stress Testing Networks: The Case of Central Counterparties," NBER Working Papers 25686, National Bureau of Economic Research, Inc.
    7. Isobel Seabrook & Fabio Caccioli & Tomaso Aste, 2021. "An Information Filtering approach to stress testing: an application to FTSE markets," Papers 2106.08778, arXiv.org.
    8. Alogoskoufis, Spyros & Dunz, Nepomuk & Emambakhsh, Tina & Hennig, Tristan & Kaijser, Michiel & Kouratzoglou, Charalampos & Muñoz, Manuel A. & Parisi, Laura & Salleo, Carmelo, 2021. "ECB’s economy-wide climate stress test," Occasional Paper Series 281, European Central Bank.
    9. Fiedor, Pawel & Katsoulis, Petros, 2019. "An Lonn Dubh: A Framework for Macroprudential Stress Testing of Investment Funds," Financial Stability Notes 2/FS/19, Central Bank of Ireland.
    10. Seabrook, Isobel & Caccioli, Fabio & Aste, Tomaso, 2022. "Quantifying impact and response in markets using information filtering networks," LSE Research Online Documents on Economics 115308, London School of Economics and Political Science, LSE Library.
    11. Chavleishvili, Sulkhan & Fahr, Stephan & Kremer, Manfred & Manganelli, Simone & Schwaab, Bernd, 2021. "A risk management perspective on macroprudential policy," Working Paper Series 2556, European Central Bank.
    12. Maarten van Oordt, 2018. "Calibrating the Magnitude of the Countercyclical Capital Buffer Using Market-Based Stress Tests," Staff Working Papers 18-54, Bank of Canada.
    13. Lo Duca, Marco & Hallissey, Niamh & Jurca, Pavol & Kouratzoglou, Charalampos & Lima, Diana & Pirovano, Mara & Prapiestis, Algirdas & Saldías, Martín & Tereanu, Eugen & Bartal, Mehdi & Giedraitė, Edita, 2023. "The more the merrier? Macroprudential instrument interactions and effective policy implementation," Occasional Paper Series 310, European Central Bank.
    14. Abdulrahman Alrabiah & Steve Drew, 2020. "Proactive Management of Regulatory Policy Ripple Effects via a Computational Hierarchical Change Management Structure," Risks, MDPI, vol. 8(2), pages 1-29, May.
    15. Eduardo C. Castro, 2020. "RegGae: a toolkit for macroprudential policy with DSGEs," Working Papers Series 526, Central Bank of Brazil, Research Department.

  9. Danielsson, Jon & Macrae, Robert & Micheler, Eva, 2017. "Brexit and systemic risk," LSE Research Online Documents on Economics 85124, London School of Economics and Political Science, LSE Library.

    Cited by:

    1. Andrei HREBENCIUC, 2017. "The costs of Brexit for UK economy," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(2(611), S), pages 319-327, Summer.

  10. Danielsson, Jon & Macrae, Robert, 2016. "The fatal flaw in macropru: it ignores political risk," LSE Research Online Documents on Economics 70703, London School of Economics and Political Science, LSE Library.

    Cited by:

    1. Smita Roy Trivedi, 2021. "Political Stability and the Effectiveness of Currency Based Macro Prudential Measures," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 28(2), pages 319-332, June.

  11. Danielsson, Jon & Macrae, Robert & Tsomocos, Dimitrios P. & Zigrand, Jean-Pierre, 2016. "Why macropru can end up being procyclical," LSE Research Online Documents on Economics 70711, London School of Economics and Political Science, LSE Library.

    Cited by:

    1. Olszak, Małgorzata & Kowalska, Iwona, 2022. "Does bank competition matter for the effects of macroprudential policy on the procyclicality of lending?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 76(C).

  12. Danielsson, Jon & James, Kevin R. & Valenzuela, Marcela & Zer, Ilknur, 2015. "Can we prove a bank guilty of creating systemic risk? A minority report," LSE Research Online Documents on Economics 119462, London School of Economics and Political Science, LSE Library.

    Cited by:

    1. Baumöhl, Eduard & Bouri, Elie & Hoang, Thi-Hong-Van & Shahzad, Syed Jawad Hussain & Výrost, Tomáš, 2020. "Increasing systemic risk during the Covid-19 pandemic: A cross-quantilogram analysis of the banking sector," EconStor Preprints 222580, ZBW - Leibniz Information Centre for Economics.
    2. Tente, Natalia & von Westernhagen, Natalja & Slopek, Ulf, 2017. "M-PRESS-CreditRisk: A holistic micro- and macroprudential approach to capital requirements," Discussion Papers 15/2017, Deutsche Bundesbank.
    3. Thomas F. Coleman & Alex LaPlante & Alexey Rubtsov, 2018. "Analysis of the SRISK measure and its application to the Canadian banking and insurance industries," Annals of Finance, Springer, vol. 14(4), pages 547-570, November.
    4. Danielsson, Jon & James, Kevin R. & Valenzuela, Marcela & Zer, Ilknur, 2016. "Model risk of risk models," LSE Research Online Documents on Economics 66365, London School of Economics and Political Science, LSE Library.
    5. Moratis, Georgios & Sakellaris, Plutarchos, 2021. "Measuring the systemic importance of banks," Journal of Financial Stability, Elsevier, vol. 54(C).
    6. Mathias Mandla Manguzvane & John Weirstrass Muteba Mwamba, 2022. "South African Banks’ Cross-Border Systemic Risk Exposure: An Application of the GAS Copula Marginal Expected Shortfall," IJFS, MDPI, vol. 10(1), pages 1-19, March.
    7. Jokivuolle, Esa & Tunaru, Radu & Vioto, Davide, 2018. "Testing the systemic risk differences in banks," Bank of Finland Research Discussion Papers 13/2018, Bank of Finland.
    8. Garcia-Jorcano, Laura & Sanchis-Marco, Lidia, 2021. "Systemic-systematic risk in financial system: A dynamic ranking based on expectiles," International Review of Economics & Finance, Elsevier, vol. 75(C), pages 330-365.
    9. Laura Garcia-Jorcano & Lidia Sanchis-Marco, 2023. "Measuring Systemic Risk Using Multivariate Quantile-Located ES Models," Journal of Financial Econometrics, Oxford University Press, vol. 21(1), pages 1-72.
    10. Chiara Pederzoli & Costanza Torricelli, 2015. "Systemic risk measures and macroprudential stress tests. An assessment over the 2014 EBA exercise," Centro Studi di Banca e Finanza (CEFIN) (Center for Studies in Banking and Finance) 0054, Universita di Modena e Reggio Emilia, Dipartimento di Economia "Marco Biagi".
    11. Simone Varotto & Lei Zhao, 2014. "Systemic Risk and Bank Size," ICMA Centre Discussion Papers in Finance icma-dp2014-17, Henley Business School, University of Reading.
    12. Kubitza, Christian & Gründl, Helmut, 2016. "Systemic risk: Time-lags and persistence," ICIR Working Paper Series 20/16, Goethe University Frankfurt, International Center for Insurance Regulation (ICIR).
    13. Michele Leonardo Bianchi & Alberto Maria Sorrentino, 2020. "Measuring CoVaR: An Empirical Comparison," Computational Economics, Springer;Society for Computational Economics, vol. 55(2), pages 511-528, February.
    14. Natalia Tente & Natalja Von Westernhagen & Ulf Slopek, 2019. "M‐PRESS‐CreditRisk: Microprudential and Macroprudential Capital Requirements for Credit Risk under Systemic Stress," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 51(7), pages 1923-1961, October.
    15. Naohisa Hirakata & Yosuke Kido & Jie Liang Thum, 2020. "Systemic risk and the Fallacy of Composition: Empirical Evidence from Japanese Regional Bank," International Journal of Central Banking, International Journal of Central Banking, vol. 16(4), pages 293-325, September.
    16. Matteo Foglia & Eliana Angelini, 2021. "The triple (T3) dimension of systemic risk: Identifying systemically important banks," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(1), pages 7-26, January.
    17. Abdelkader DERBALI & Ali LAMOUCHI, 2020. "RETRACTED ARTICLE: The triple (T3) dimension of systemic risk: identifying systemically important banks in Eurozone Abstract: Editor’s Note - This paper has been retracted from our journal due to bogu," Eastern Journal of European Studies, Centre for European Studies, Alexandru Ioan Cuza University, vol. 11, pages 87-122, June.
    18. Gogas, Periklis & Papadimitriou, Theophilos & Agrapetidou, Anna, 2018. "Forecasting bank failures and stress testing: A machine learning approach," International Journal of Forecasting, Elsevier, vol. 34(3), pages 440-455.

  13. Efstathios Panayi & Gareth W. Peters & Jon Danielsson & Jean-Pierre Zigrand, 2015. "Designating market maker behaviour in Limit Order Book markets," Papers 1508.04348, arXiv.org.

    Cited by:

    1. Antonio Briola & Silvia Bartolucci & Tomaso Aste, 2024. "Deep Limit Order Book Forecasting," Papers 2403.09267, arXiv.org, revised Jun 2024.
    2. Pelizzon, Loriana & Sagade, Satchit & Vozian, Katia, 2020. "Resiliency: Cross-venue dynamics with Hawkes processes," SAFE Working Paper Series 291, Leibniz Institute for Financial Research SAFE.
    3. Clapham, Benjamin & Gomber, Peter & Lausen, Jens & Panz, Sven, 2018. "Liquidity provider incentives in fragmented securities markets," SAFE Working Paper Series 231, Leibniz Institute for Financial Research SAFE.

  14. Danielsson, Jon & Zhou, Chen, 2015. "Why risk is so hard to measure," LSE Research Online Documents on Economics 62002, London School of Economics and Political Science, LSE Library.

    Cited by:

    1. Alexandra-Maria Chiper, 2023. "Financial Risk Optimisation Methods: A Survey," Review of Economic and Business Studies, Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, issue 31, pages 155-168, June.
    2. Bengtsson, Elias & Grothe, Magdalena & Lepers, Etienne, 2017. "Home, safe home: cross-country monitoring framework for vulnerabilities in the residential real estate sector," Working Paper Series 2096, European Central Bank.
    3. Semih Atakan & Kerem Bülbül & Nilay Noyan, 2017. "Minimizing value-at-risk in single-machine scheduling," Annals of Operations Research, Springer, vol. 248(1), pages 25-73, January.
    4. Kubitza, Christian & Gründl, Helmut, 2016. "Systemic risk: Time-lags and persistence," ICIR Working Paper Series 20/16, Goethe University Frankfurt, International Center for Insurance Regulation (ICIR).
    5. Magdalena Grothe, 2020. "Monitoring Vulnerabilities in the Residential Real Estate Sector in Poland," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 2, pages 5-24.
    6. Fabio Caccioli & Imre Kondor & G'abor Papp, 2015. "Portfolio Optimization under Expected Shortfall: Contour Maps of Estimation Error," Papers 1510.04943, arXiv.org.

  15. Boucher, Christophe M. & Danielsson, Jon & Kouontchou, Patrick S. & Maillet, Bertrand B., 2014. "Risk models–at–risk," LSE Research Online Documents on Economics 59299, London School of Economics and Political Science, LSE Library.

    Cited by:

    1. Farkas, Walter & Fringuellotti, Fulvia & Tunaru, Radu, 2020. "A cost-benefit analysis of capital requirements adjusted for model risk," Journal of Corporate Finance, Elsevier, vol. 65(C).
    2. Yu Feng & Ralph Rudd & Christopher Baker & Qaphela Mashalaba & Melusi Mavuso & Erik Schlögl, 2021. "Quantifying the Model Risk Inherent in the Calibration and Recalibration of Option Pricing Models," Risks, MDPI, vol. 9(1), pages 1-20, January.
    3. Stefan Nagel & Amiyatosh Purnanandam, 2019. "Bank risk dynamics and distance to default," CESifo Working Paper Series 7637, CESifo.
    4. Danielsson, Jon & James, Kevin R. & Valenzuela, Marcela & Zer, Ilknur, 2016. "Model risk of risk models," LSE Research Online Documents on Economics 66365, London School of Economics and Political Science, LSE Library.
    5. Yesol Huh, 2014. "Machines vs. Machines: High Frequency Trading and Hard Information," Finance and Economics Discussion Series 2014-33, Board of Governors of the Federal Reserve System (U.S.).
    6. Bayer, Sebastian, 2018. "Combining Value-at-Risk forecasts using penalized quantile regressions," Econometrics and Statistics, Elsevier, vol. 8(C), pages 56-77.
    7. Emese Lazar & Ning Zhang, 2017. "Model Risk of Expected Shortfall," ICMA Centre Discussion Papers in Finance icma-dp2017-10, Henley Business School, University of Reading.
    8. João Henrique Gonçalves Mazzeu & Esther Ruiz & Helena Veiga, 2018. "Uncertainty And Density Forecasts Of Arma Models: Comparison Of Asymptotic, Bayesian, And Bootstrap Procedures," Journal of Economic Surveys, Wiley Blackwell, vol. 32(2), pages 388-419, April.
    9. Baviera, Roberto, 2022. "The measure of model risk in credit capital requirements," Finance Research Letters, Elsevier, vol. 44(C).
    10. Maillet, Bertrand & Tokpavi, Sessi & Vaucher, Benoit, 2015. "Global minimum variance portfolio optimisation under some model risk: A robust regression-based approach," European Journal of Operational Research, Elsevier, vol. 244(1), pages 289-299.
    11. Dai, Yun-Shi & Dai, Peng-Fei & Zhou, Wei-Xing, 2023. "Tail dependence structure and extreme risk spillover effects between the international agricultural futures and spot markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 88(C).
    12. Stepankova, Barbora & Teply, Petr, 2023. "Consistency of banks' internal probability of default estimates: Empirical evidence from the COVID-19 crisis," Journal of Banking & Finance, Elsevier, vol. 154(C).
    13. Liu, Wei & Semeyutin, Artur & Lau, Chi Keung Marco & Gozgor, Giray, 2020. "Forecasting Value-at-Risk of Cryptocurrencies with RiskMetrics type models," Research in International Business and Finance, Elsevier, vol. 54(C).
    14. Armanious, Amir, 2024. "Too-systemic-to-fail: Empirical comparison of systemic risk measures in the Eurozone financial system," Journal of Financial Stability, Elsevier, vol. 73(C).
    15. Christophe Boucher & Gregory Jannin & Patrick Kouontchou & Bertrand Maillet, 2013. "An Economic Evaluation of Model Risk in Long-term Asset Allocations," Post-Print hal-01369201, HAL.
    16. Nieto, Maria Rosa & Ruiz, Esther, 2016. "Frontiers in VaR forecasting and backtesting," International Journal of Forecasting, Elsevier, vol. 32(2), pages 475-501.
    17. Michael Michaelides & Niraj Poudyal, 2024. "Good risk measures, bad statistical assumptions, ugly risk forecasts," The Financial Review, Eastern Finance Association, vol. 59(2), pages 519-543, May.
    18. Alexander, Gordon J. & Baptista, Alexandre M. & Yan, Shu, 2021. "Regulation of bank proprietary trading post 2007–09 crisis: An examination of the Basel framework and Volcker rule," Journal of International Money and Finance, Elsevier, vol. 119(C).
    19. Zuzana Krajcovicova & Pedro Pablo Perez-Velasco & Carlos Vazquez, 2017. "A Novel Approach to Quantification of Model Risk for Practitioners," Papers 1705.05572, arXiv.org.
    20. Weidong Tian & Junya Jiang & Weidong Tian, 2017. "Model Uncertainty Effect on Asset Prices," International Review of Finance, International Review of Finance Ltd., vol. 17(2), pages 205-233, June.
    21. Kamila Sommer, 2014. "Fertility Choice in a Life Cycle Model with Idiosyncratic Uninsurable Earnings Risk," Finance and Economics Discussion Series 2014-32, Board of Governors of the Federal Reserve System (U.S.).
    22. Valeria Bignozzi & Andreas Tsanakas, 2016. "Parameter Uncertainty and Residual Estimation Risk," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 83(4), pages 949-978, December.
    23. Tsukahara, Fábio Yasuhiro & Kimura, Herbert & Sobreiro, Vinicius Amorim & Zambrano, Juan Carlos Arismendi, 2016. "Validation of default probability models: A stress testing approach," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 70-85.
    24. Yu, Ziliang & Liu, Xiaomeng & Liu, Zhuqing & Li, Yang, 2023. "Central bank swap arrangements and exchange rate volatility: Evidence from China," Emerging Markets Review, Elsevier, vol. 56(C).
    25. Yu Feng, 2019. "Theory and Application of Model Risk Quantification," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 3-2019, January-A.
    26. Fritzsch, Simon & Timphus, Maike & Weiß, Gregor, 2024. "Marginals versus copulas: Which account for more model risk in multivariate risk forecasting?," Journal of Banking & Finance, Elsevier, vol. 158(C).
    27. Le, Trung H., 2020. "Forecasting value at risk and expected shortfall with mixed data sampling," International Journal of Forecasting, Elsevier, vol. 36(4), pages 1362-1379.
    28. Bangzhu Zhu & Ping Wang & Julien Chevallier & Yi‐Ming Wei, 2023. "Enriching the value‐at‐risk framework to ensemble empirical mode decomposition with an application to the European carbon market," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(3), pages 2975-2988, July.
    29. Yu Feng, 2019. "Non-Parametric Robust Model Risk Measurement with Path-Dependent Loss Functions," Papers 1903.00590, arXiv.org.
    30. Veiga, Helena, 2015. "Model uncertainty and the forecast accuracy of ARMA models: A survey," DES - Working Papers. Statistics and Econometrics. WS ws1508, Universidad Carlos III de Madrid. Departamento de Estadística.
    31. Pelster, Matthias & Vilsmeier, Johannes, 2016. "The determinants of CDS spreads: Evidence from the model space," Discussion Papers 43/2016, Deutsche Bundesbank.
    32. Claußen, Arndt & Rösch, Daniel & Schmelzle, Martin, 2019. "Hedging parameter risk," Journal of Banking & Finance, Elsevier, vol. 100(C), pages 111-121.
    33. Semeyutin, Artur & O’Neill, Robert, 2019. "A brief survey on the choice of parameters for: “Kernel density estimation for time series data”," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).

  16. Danielsson, Jon & James, Kevin R. & Valenzuela, Marcela & Zer, Ilknur, 2014. "Model risk of risk models," LSE Research Online Documents on Economics 59296, London School of Economics and Political Science, LSE Library.

    Cited by:

    1. Marcelo Brutti Righi & Fernanda Maria Muller & Marlon Ruoso Moresco, 2017. "On a robust risk measurement approach for capital determination errors minimization," Papers 1707.09829, arXiv.org, revised Oct 2020.
    2. Farkas, Walter & Fringuellotti, Fulvia & Tunaru, Radu, 2020. "A cost-benefit analysis of capital requirements adjusted for model risk," Journal of Corporate Finance, Elsevier, vol. 65(C).
    3. Funke, Michael & Sun, Rongrong & Zhu, Linxu, 2018. "The credit risk of Chinese households: A micro-level assessment," BOFIT Discussion Papers 12/2018, Bank of Finland Institute for Emerging Economies (BOFIT).
    4. Zevallos, Mauricio & Villarreal, Fernanda & Del Carpio, Carlos & Abbara, Omar, 2014. "Influencia de los precios de los metales y el mercado internacional en el riesgo bursátil peruano," Working Papers 2014-023, Banco Central de Reserva del Perú.
    5. Danielsson, Jon & Zhou, Chen, 2015. "Why risk is so hard to measure," LSE Research Online Documents on Economics 62002, London School of Economics and Political Science, LSE Library.
    6. Alexander, Carol & Han, Yang & Meng, Xiaochun, 2023. "Static and dynamic models for multivariate distribution forecasts: Proper scoring rule tests of factor-quantile versus multivariate GARCH models," International Journal of Forecasting, Elsevier, vol. 39(3), pages 1078-1096.
    7. Yu Feng & Ralph Rudd & Christopher Baker & Qaphela Mashalaba & Melusi Mavuso & Erik Schlögl, 2021. "Quantifying the Model Risk Inherent in the Calibration and Recalibration of Option Pricing Models," Risks, MDPI, vol. 9(1), pages 1-20, January.
    8. Cincinelli, Peter & Pellini, Elisabetta & Urga, Giovanni, 2024. "Is there an optimal level of leverage? The case of banks and non-bank institutions in Europe," International Review of Financial Analysis, Elsevier, vol. 94(C).
    9. Bevilacqua, Mattia & Tunaru, Radu & Vioto, Davide, 2023. "Options-based systemic risk, financial distress, and macroeconomic downturns," LSE Research Online Documents on Economics 119289, London School of Economics and Political Science, LSE Library.
    10. Denisa Banulescu & Christophe Hurlin & Jeremy Leymarie & O. Scaillet, 2019. "Backtesting Marginal Expected Shortfall and Related Systemic Risk Measures," Swiss Finance Institute Research Paper Series 19-48, Swiss Finance Institute.
    11. Vaclav Broz & Lukas Pfeifer & Dominika Kolcunova, 2017. "Are the Risk Weights of Banks in the Czech Republic Procyclical? Evidence from Wavelet Analysis," Working Papers 2017/15, Czech National Bank.
    12. Danielsson, Jon & James, Kevin R. & Valenzuela, Marcela & Zer, Ilknur, 2016. "Model risk of risk models," LSE Research Online Documents on Economics 66365, London School of Economics and Political Science, LSE Library.
    13. Marina Resta, 2016. "VaRSOM: A Tool to Monitor Markets' Stability Based on Value at Risk and Self‐Organizing Maps," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 23(1-2), pages 47-64, January.
    14. David Martinez-Miera & Rafael Repullo, 2019. "Monetary Policy, Macroprudential Policy, and Financial Stability," Working Papers wp2019_1901, CEMFI.
    15. Bayer, Sebastian, 2018. "Combining Value-at-Risk forecasts using penalized quantile regressions," Econometrics and Statistics, Elsevier, vol. 8(C), pages 56-77.
    16. Mohammed Berkhouch & Fernanda Maria Müller & Ghizlane Lakhnati & Marcelo Brutti Righi, 2022. "Deviation-Based Model Risk Measures," Computational Economics, Springer;Society for Computational Economics, vol. 59(2), pages 527-547, February.
    17. Emese Lazar & Ning Zhang, 2017. "Model Risk of Expected Shortfall," ICMA Centre Discussion Papers in Finance icma-dp2017-10, Henley Business School, University of Reading.
    18. Baviera, Roberto, 2022. "The measure of model risk in credit capital requirements," Finance Research Letters, Elsevier, vol. 44(C).
    19. Christophe Boucher & Jon Danielsson & Patrick Kouontchou & Bertrand Maillet, 2014. "Risk models-at-risk," Post-Print hal-02312332, HAL.
    20. Kurter, Zeynep O., 2024. "How macroeconomic conditions affect systemic risk in the short and long-run?," The North American Journal of Economics and Finance, Elsevier, vol. 70(C).
    21. Geraci, Marco Valerio & Gnabo, Jean-Yves, 2018. "Measuring Interconnectedness between Financial Institutions with Bayesian Time-Varying Vector Autoregressions," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 53(3), pages 1371-1390, June.
    22. Maillet, Bertrand & Tokpavi, Sessi & Vaucher, Benoit, 2015. "Global minimum variance portfolio optimisation under some model risk: A robust regression-based approach," European Journal of Operational Research, Elsevier, vol. 244(1), pages 289-299.
    23. Rosa Ferrentino & Luca Vota, 2022. "A Mathematical Model for the Pricing of Derivative Financial Products: the Role of the Banking Supervision and of the Model Risk," Journal of Finance and Investment Analysis, SCIENPRESS Ltd, vol. 11(1), pages 1-2.
    24. Fernández-Aguado, Pilar Gómez & Martínez, Eduardo Trigo & Ruíz, Rafael Moreno & Ureña, Antonio Partal, 2022. "Evaluation of European Deposit Insurance Scheme funding based on risk analysis," International Review of Economics & Finance, Elsevier, vol. 78(C), pages 234-247.
    25. Grundke, Peter & Pliszka, Kamil & Tuchscherer, Michael, 2019. "Model and estimation risk in credit risk stress tests," Discussion Papers 09/2019, Deutsche Bundesbank.
    26. Mehmet Sahiner & David G. McMillan & Dimos Kambouroudis, 2023. "Do artificial neural networks provide improved volatility forecasts: Evidence from Asian markets," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 47(3), pages 723-762, September.
    27. Fracasso, Laís Martins & Müller, Fernanda Maria & Ramos, Henrique Pinto & Righi, Marcelo Brutti, 2023. "Is there a risk premium? Evidence from thirteen measures," The Quarterly Review of Economics and Finance, Elsevier, vol. 92(C), pages 182-199.
    28. d’Addona, Stefano & Khanom, Najrin, 2022. "Estimating tail-risk using semiparametric conditional variance with an application to meme stocks," International Review of Economics & Finance, Elsevier, vol. 82(C), pages 241-260.
    29. Li, Dan & Clements, Adam & Drovandi, Christopher, 2023. "A Bayesian approach for more reliable tail risk forecasts," Journal of Financial Stability, Elsevier, vol. 64(C).
    30. Dai, Yun-Shi & Dai, Peng-Fei & Zhou, Wei-Xing, 2023. "Tail dependence structure and extreme risk spillover effects between the international agricultural futures and spot markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 88(C).
    31. Stepankova, Barbora & Teply, Petr, 2023. "Consistency of banks' internal probability of default estimates: Empirical evidence from the COVID-19 crisis," Journal of Banking & Finance, Elsevier, vol. 154(C).
    32. Seyfi, Seyed Mohammad Sina & Sharifi, Azin & Arian, Hamidreza, 2021. "Portfolio Value-at-Risk and expected-shortfall using an efficient simulation approach based on Gaussian Mixture Model," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 190(C), pages 1056-1079.
    33. Aldasoro, Iñaki & Angeloni, Ignazio, 2013. "Input-Output-based Measures of Systemic Importance," MPRA Paper 49557, University Library of Munich, Germany.
    34. Marina Brogi & Valentina Lagasio & Luca Riccetti, 2021. "Systemic risk measurement: bucketing global systemically important banks," Annals of Finance, Springer, vol. 17(3), pages 319-351, September.
    35. Carol Alexander & Michael Coulon & Yang Han & Xiaochun Meng, 2021. "Evaluating the Discrimination Ability of Proper Multivariate Scoring Rules," Papers 2101.12693, arXiv.org.
    36. Pfeifer, Lukáš & Hodula, Martin, 2018. "A profit-to-provisioning approach to setting the countercyclical capital buffer: the Czech example," ESRB Working Paper Series 82, European Systemic Risk Board.
    37. Zhang, Ning & Gong, Yujing & Xue, Xiaohan, 2023. "Less disagreement, better forecasts: adjusted risk measures in the energy futures market," LSE Research Online Documents on Economics 118451, London School of Economics and Political Science, LSE Library.
    38. Cerrone, Rosaria & Cocozza, Rosa & Curcio, Domenico & Gianfrancesco, Igor, 2017. "Does prudential regulation contribute to effective measurement and management of interest rate risk? Evidence from Italian banks," Journal of Financial Stability, Elsevier, vol. 30(C), pages 126-138.
    39. Michael Michaelides & Niraj Poudyal, 2024. "Good risk measures, bad statistical assumptions, ugly risk forecasts," The Financial Review, Eastern Finance Association, vol. 59(2), pages 519-543, May.
    40. Bevilacqua, Mattia & Tunaru, Radu & Vioto, Davide, 2023. "Options-based systemic risk, financial distress, and macroeconomic downturns," Journal of Financial Markets, Elsevier, vol. 65(C).
    41. Malgorzata Mikita, 2022. "The Interrelationship Among Efficiency and Concentration of Banking System and its Stability: Evidence from Poland," European Research Studies Journal, European Research Studies Journal, vol. 0(1), pages 670-689.
    42. James Ming Chen, 2018. "On Exactitude in Financial Regulation: Value-at-Risk, Expected Shortfall, and Expectiles," Risks, MDPI, vol. 6(2), pages 1-28, June.
    43. Laura Garcia-Jorcano & Lidia Sanchis-Marco, 2023. "Measuring Systemic Risk Using Multivariate Quantile-Located ES Models," Journal of Financial Econometrics, Oxford University Press, vol. 21(1), pages 1-72.
    44. Radu Tunaru, 2015. "Model Risk in Financial Markets:From Financial Engineering to Risk Management," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 9524, October.
    45. Malovaná, Simona & Kolcunová, Dominika & Brož, Václav, 2019. "Does monetary policy influence banks’ risk weights under the internal ratings-based approach?," Economic Systems, Elsevier, vol. 43(2), pages 1-1.
    46. Simona Malovana & Dominika Kolcunova & Vaclav Broz, 2018. "The effect of accommodative monetary policy on the risk weights applied by domestic banks," Occasional Publications - Chapters in Edited Volumes, in: CNB Financial Stability Report 2017/2018, chapter 0, pages 136-147, Czech National Bank.
    47. Oliver Kley & Claudia Kluppelberg & Gesine Reinert, 2015. "Conditional risk measures in a bipartite market structure," Papers 1510.00616, arXiv.org.
    48. Mariano González-Sánchez & Eva M. Ibáñez Jiménez & Ana I. Segovia San Juan, 2022. "Market and model risks: a feasible joint estimate methodology," Risk Management, Palgrave Macmillan, vol. 24(3), pages 187-213, September.
    49. Bevilacqua, Mattia & Tunaru, Radu & Vioto, Davide, 2020. "Options-based systemic risk, financial distress, and macroeconomic downturns," LSE Research Online Documents on Economics 118850, London School of Economics and Political Science, LSE Library.
    50. Kubitza, Christian & Gründl, Helmut, 2016. "Systemic risk: Time-lags and persistence," ICIR Working Paper Series 20/16, Goethe University Frankfurt, International Center for Insurance Regulation (ICIR).
    51. Ramzi Nekhili & Jahangir Sultan, 2020. "Jump Driven Risk Model Performance in Cryptocurrency Market," IJFS, MDPI, vol. 8(2), pages 1-18, April.
    52. Pupentsova Svetlana V. & Gromova Elizaveta A., 2021. "Risk Management in Business Valuation in the Context of Digital Transformation," Real Estate Management and Valuation, Sciendo, vol. 29(2), pages 97-106, June.
    53. Yu Feng, 2019. "Theory and Application of Model Risk Quantification," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 3-2019, January-A.
    54. Kurter, Zeynep O., 2022. "How macroeconomic conditions affect systemic risk in the short and long-run?," The Warwick Economics Research Paper Series (TWERPS) 1407, University of Warwick, Department of Economics.
    55. Fritzsch, Simon & Timphus, Maike & Weiß, Gregor, 2024. "Marginals versus copulas: Which account for more model risk in multivariate risk forecasting?," Journal of Banking & Finance, Elsevier, vol. 158(C).
    56. Cucinelli, Doriana & Battista, Maria Luisa Di & Marchese, Malvina & Nieri, Laura, 2018. "Credit risk in European banks: The bright side of the internal ratings based approach," Journal of Banking & Finance, Elsevier, vol. 93(C), pages 213-229.
    57. Gourieroux, Christian & Tiomo, Andre, 2019. "The Evaluation of Model Risk for Probability of Default and Expected Loss," MPRA Paper 95795, University Library of Munich, Germany.
    58. Seyed Mohammad Sina Seyfi & Azin Sharifi & Hamidreza Arian, 2020. "Portfolio Risk Measurement Using a Mixture Simulation Approach," Papers 2011.07994, arXiv.org.
    59. Ning Zhang & Yujing Gong & Xiaohan Xue, 2023. "Less disagreement, better forecasts: Adjusted risk measures in the energy futures market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(10), pages 1332-1372, October.
    60. Kolari, James W. & López-Iturriaga, Félix J. & Sanz, Ivan Pastor, 2020. "Measuring systemic risk in the U.S. Banking system," Economic Modelling, Elsevier, vol. 91(C), pages 646-658.
    61. Tasneem Bani-Mustafa & Nicola Pedroni & Enrico Zio & Dominique Vasseur & Francois Beaudouin, 2020. "A hierarchical tree-based decision-making approach for assessing the relative trustworthiness of risk assessment models," Journal of Risk and Reliability, , vol. 234(6), pages 748-763, December.
    62. Murphy, David, 2023. "What can we expect from a good margin model? Observations from whole-distribution tests of risk-based initial margin models," LSE Research Online Documents on Economics 118281, London School of Economics and Political Science, LSE Library.
    63. Evaggelia Siopi & Thomas Poufinas & James Ming Chen & Charalampos Agiropoulos, 2023. "Can Regulation Affect the Solvency of Insurers? New Evidence from European Insurers," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 29(1), pages 15-30, May.
    64. Fang, Yi & Wang, Yanru & Wang, Qi & Zhao, Yang, 2023. "Policy uncertainty and bank systemic risk: A perspective of risk decomposition," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 88(C).
    65. Marcelo Brutti Righi, 2018. "A theory for combinations of risk measures," Papers 1807.01977, arXiv.org, revised May 2023.
    66. Pfeifer, Lukáš & Hodula, Martin, 2021. "A profit-to-provisioning approach to setting the countercyclical capital buffer," Economic Systems, Elsevier, vol. 45(1).
    67. Yu Feng, 2019. "Non-Parametric Robust Model Risk Measurement with Path-Dependent Loss Functions," Papers 1903.00590, arXiv.org.
    68. Mauricio Zevallos & Fernanda Villarreal & Carlos Del Carpio & Omar Abbara, 2017. "Metal Prices and International Market Risk in the Peruvian Stock Market," Revista Economía, Fondo Editorial - Pontificia Universidad Católica del Perú, vol. 40(79), pages 87-104.
    69. Rhys M. Bidder & Raffaella Giacomini & Andrew McKenna, 2016. "Stress Testing with Misspecified Models," Working Paper Series 2016-26, Federal Reserve Bank of San Francisco.
    70. Murphy, David & Vause, Nicholas, 2021. "A CBA of APC: analysing approaches to procyclicality reduction in CCP initial margin models," Bank of England working papers 950, Bank of England.
    71. Silva, Walmir & Kimura, Herbert & Sobreiro, Vinicius Amorim, 2017. "An analysis of the literature on systemic financial risk: A survey," Journal of Financial Stability, Elsevier, vol. 28(C), pages 91-114.
    72. Gogas, Periklis & Papadimitriou, Theophilos & Agrapetidou, Anna, 2018. "Forecasting bank failures and stress testing: A machine learning approach," International Journal of Forecasting, Elsevier, vol. 34(3), pages 440-455.
    73. Dridi, Ichrak & Boughrara, Adel, 2021. "On the effect of full-fledged IT adoption on stock returns and their conditional volatility: Evidence from propensity score matching," The Quarterly Review of Economics and Finance, Elsevier, vol. 80(C), pages 179-194.
    74. Simon Fritzsch & Maike Timphus & Gregor Weiss, 2021. "Marginals Versus Copulas: Which Account For More Model Risk In Multivariate Risk Forecasting?," Papers 2109.10946, arXiv.org.

  17. Chwieroth, Jeffrey & Danielsson, Jon, 2013. "Political challenges of the macroprudential agenda," LSE Research Online Documents on Economics 56385, London School of Economics and Political Science, LSE Library.

    Cited by:

    1. Anne Beck & Franziska Bremus, 2014. "Wie kann systemisches Risiko beschränkt werden?," DIW Roundup: Politik im Fokus 36, DIW Berlin, German Institute for Economic Research.

  18. Kris Boudt & Jon Danielsson & Siem Jan Koopman & Andre Lucas, 2012. "Regime switches in the volatility and correlation of financial institutions," Working Paper Research 227, National Bank of Belgium.

    Cited by:

    1. Opschoor, Anne & van Dijk, Dick & van der Wel, Michel, 2014. "Predicting volatility and correlations with Financial Conditions Indexes," Journal of Empirical Finance, Elsevier, vol. 29(C), pages 435-447.
    2. H. Dewachter & G. de Walque & M. Emiris & P. Ilbas & J. Mitchell & R. Wouters, 2012. "Endogenous financial risk : The seventh international conference of the NBB," Economic Review, National Bank of Belgium, issue iii, pages 135-146, December.
    3. BAUWENS, Luc & otranto, EDOARDO, 2013. "Modeling the dependence of conditional correlations on volatility," LIDAM Discussion Papers CORE 2013014, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    4. Anne Opschoor & Dick van Dijk & Michel van der Wel, 2013. "Predicting Covariance Matrices with Financial Conditions Indexes," Tinbergen Institute Discussion Papers 13-113/III, Tinbergen Institute.

  19. Danielsson, Jon & Song Shin, Hyun & Zigrand, Jean-Pierre, 2011. "Balance sheet capacity and endogenous risk," LSE Research Online Documents on Economics 43141, London School of Economics and Political Science, LSE Library.

    Cited by:

    1. Nina Boyarchenko & Tobias Adrian, 2015. "Intermediary Balance Sheets," 2015 Meeting Papers 239, Society for Economic Dynamics.
    2. Evgenia Passari & Hélène Rey, 2015. "Financial Flows and the International Monetary System," NBER Working Papers 21172, National Bureau of Economic Research, Inc.
    3. Gilchrist, Simon & Wei, Bin & Yue, Vivian Z. & Zakrajšek, Egon, 2022. "Sovereign risk and financial risk," Journal of International Economics, Elsevier, vol. 136(C).
    4. Raffestin, Louis, 2014. "Diversification and systemic risk," Journal of Banking & Finance, Elsevier, vol. 46(C), pages 85-106.
    5. Kai Li & Chenjie Xu, 2023. "Asset pricing with a financial sector," Financial Management, Financial Management Association International, vol. 52(1), pages 67-95, March.
    6. Tobias Adrian & Nina Boyarchenko & Hyun Song Shin, 2015. "On the scale of financial intermediaries," Staff Reports 743, Federal Reserve Bank of New York.
    7. Monica Billio & Mila Getmansky & Andrew W. Lo & Loriana Pelizzon, 2010. "Econometric Measures of Connectedness and Systemic Risk in the Finance and Insurance Sectors," NBER Chapters, in: Market Institutions and Financial Market Risk, National Bureau of Economic Research, Inc.
    8. Ekaterina Pirozhkova, 2017. "Banks' balance sheet, uncertainty and macroeconomy," EcoMod2017 10430, EcoMod.
    9. Wei Xiong, 2013. "Bubbles, Crises, and Heterogeneous Beliefs," NBER Working Papers 18905, National Bureau of Economic Research, Inc.
    10. Vayanos, Dimitri & Kondor, Péter, 2014. "Liquidity Risk and the Dynamics of Arbitrage Capital," CEPR Discussion Papers 9885, C.E.P.R. Discussion Papers.
    11. Büyükşahin, Bahattin & Robe, Michel A., 2014. "Speculators, commodities and cross-market linkages," Journal of International Money and Finance, Elsevier, vol. 42(C), pages 38-70.
    12. Sushanta K Mallick & Madhusudan Mohanty & Fabrizio Zampolli, 2017. "Market volatility, monetary policy and the term premium," BIS Working Papers 606, Bank for International Settlements.
    13. Pietro Cova & Filippo Natoli, 2017. "International financial flows and the risk-taking channel," GRU Working Paper Series GRU_2017_005, City University of Hong Kong, Department of Economics and Finance, Global Research Unit.
    14. Kris Boudt & Jon Danielsson & Siem Jan Koopman & Andre Lucas, 2012. "Regime switches in the volatility and correlation of financial institutions," Working Paper Research 227, National Bank of Belgium.
    15. Pietro Cova & Filippo Natoli, 2019. "The risk-taking channel of international financial flows," GRU Working Paper Series GRU_2019_015, City University of Hong Kong, Department of Economics and Finance, Global Research Unit.
    16. Ing-Haw Cheng & Wei Xiong, 2014. "Financialization of Commodity Markets," Annual Review of Financial Economics, Annual Reviews, vol. 6(1), pages 419-441, December.
    17. Haakon Kavli & Nicola Viegi, 2017. "Are Determinants of Portfolio Flows Always the Same? - South African Results from a Time Varying Parameter Var Model," South African Journal of Economics, Economic Society of South Africa, vol. 85(1), pages 3-27, March.
    18. Vayanos, Dimitri & Wang, Jiang, 2012. "Market liquidity - theory and empirical evidence," LSE Research Online Documents on Economics 119044, London School of Economics and Political Science, LSE Library.
    19. Song, Jianhua & Zhang, Zhepei & So, Mike K.P., 2021. "On the predictive power of network statistics for financial risk indicators," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 75(C).
    20. Peter Van Tassel, 2017. "Global Variance Term Premia and Intermediary Risk Appetite," 2017 Meeting Papers 149, Society for Economic Dynamics.
    21. James D. Hamilton & Jing Cynthia Wu, 2014. "Effects of Index-Fund Investing on Commodity Futures Prices," NBER Working Papers 19892, National Bureau of Economic Research, Inc.
    22. Charles D Brummitt & Rajiv Sethi & Duncan J Watts, 2014. "Inside Money, Procyclical Leverage, and Banking Catastrophes," PLOS ONE, Public Library of Science, vol. 9(8), pages 1-12, August.
    23. Jaewon Choi & Jieun Lee, 2023. "Network-based measures of systemic risk in Korea," Journal of Derivatives and Quantitative Studies: 선물연구, Emerald Group Publishing Limited, vol. 31(3), pages 174-196, June.
    24. Huang, Wei-Qiang & Wang, Dan, 2018. "A return spillover network perspective analysis of Chinese financial institutions’ systemic importance," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 405-421.
    25. Stijn Claessens & M Ayhan Kose, 2018. "Frontiers of macrofinancial linkages," BIS Papers, Bank for International Settlements, number 95, October –.
    26. Ing-Haw Cheng & Andrei Kirilenko & Wei Xiong, 2015. "Convective Risk Flows in Commodity Futures Markets," Review of Finance, European Finance Association, vol. 19(5), pages 1733-1781.
    27. Gregory Phelan, 2016. "Financial Intermediation, Leverage, and Macroeconomic Instability," American Economic Journal: Macroeconomics, American Economic Association, vol. 8(4), pages 199-224, October.
    28. David López-Salido & Jeremy C. Stein & Egon Zakrajšek, 2016. "Credit-Market Sentiment and the Business Cycle," NBER Working Papers 21879, National Bureau of Economic Research, Inc.
    29. Awan, Obaid A., 2019. "Price discovery or noise: The role of arbitrage and speculation in explaining crude oil price behaviour," Journal of Commodity Markets, Elsevier, vol. 16(C).
    30. Thomas Lejeune & Raf Wouters, 2019. "A macroeconomic model with heterogeneous and financially-constrained intermediaries," Working Paper Research 367, National Bank of Belgium.
    31. Chuliá, Helena & Mosquera-López, Stephania & Uribe, Jorge M., 2023. "Nonlinear market liquidity: An empirical examination," International Review of Financial Analysis, Elsevier, vol. 87(C).
    32. Dewachter, Hans & Wouters, Raf, 2014. "Endogenous risk in a DSGE model with capital-constrained financial intermediaries," Journal of Economic Dynamics and Control, Elsevier, vol. 43(C), pages 241-268.
    33. Li, Boyao, 2021. "Bank equity, interest payments, and credit creation under Basel III regulations," MPRA Paper 111269, University Library of Munich, Germany.
    34. Maghyereh, Aktham I. & Awartani, Basel & Bouri, Elie, 2016. "The directional volatility connectedness between crude oil and equity markets: New evidence from implied volatility indexes," Energy Economics, Elsevier, vol. 57(C), pages 78-93.
    35. Tobias Adrian & Nina Boyarchenko, 2013. "Intermediary Leverage Cycles and Financial Stability," Liberty Street Economics 20131120, Federal Reserve Bank of New York.
    36. Li, Boyao, 2021. "When government expenditure meets bank regulation: The impact of government expenditure on credit supply," MPRA Paper 111311, University Library of Munich, Germany.
    37. Vayanos, Dimitri & Wang, Jiang, 2013. "Market Liquidity—Theory and Empirical Evidence ," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, volume 2, chapter 0, pages 1289-1361, Elsevier.
    38. Li, Kai & Xu, Chenjie, 2024. "Intermediary-based equity term structure," Journal of Financial Economics, Elsevier, vol. 157(C).
    39. Bruce Mizrach, 2012. "Comment on "Endogenous and Systemic Risk"," NBER Chapters, in: Quantifying Systemic Risk, pages 94-105, National Bureau of Economic Research, Inc.
    40. Emilio Barucci & Andrea Cosso, 2015. "Portfolio choices and VaR constraint with a defaultable asset," Quantitative Finance, Taylor & Francis Journals, vol. 15(5), pages 853-864, May.
    41. Boyd, Naomi E. & Harris, Jeffrey H. & Li, Bingxin, 2018. "An update on speculation and financialization in commodity markets," Journal of Commodity Markets, Elsevier, vol. 10(C), pages 91-104.
    42. Damiano Bruno Silipo & Giovanni Verga & Sviatlana Hlebik, 2017. "Confidence And Overconfidence In Banking," Working Papers 201703, Università della Calabria, Dipartimento di Economia, Statistica e Finanza "Giovanni Anania" - DESF.
    43. Tyler Muir, 2017. "Financial Crises and Risk Premia," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 132(2), pages 765-809.
    44. Liu, Yan & Cheng, Xian & Liao, Stephen Shaoyi & Yang, Feng, 2023. "The impact of COVID-19 on the tourism and hospitality Industry: Evidence from international stock markets," The North American Journal of Economics and Finance, Elsevier, vol. 64(C).

  20. Jean-Pierre Zigrand & Hyun Song Shin & Jon Danielsson, 2010. "Risk Appetite and Endogenous Risk," FMG Discussion Papers dp647, Financial Markets Group.

    Cited by:

    1. Anginer, Deniz & Demirguc-Kunt, Asli & Zhu, Min, 2014. "How does competition affect bank systemic risk?," Journal of Financial Intermediation, Elsevier, vol. 23(1), pages 1-26.
    2. Philippe Bacchetta & Cédric Tille & Eric van Wincoop, 2012. "Self-Fulfilling Risk Panics," American Economic Review, American Economic Association, vol. 102(7), pages 3674-3700, December.
    3. Jürgen Eichberger & Klaus Rheinberger & Martin Summer, 2014. "Credit Risk in General Equilibrium," CESifo Working Paper Series 4602, CESifo.
    4. Aymanns, Christoph & Caccioli, Fabio & Farmer, J. Doyne & Tan, Vincent W.C., 2015. "Taming the Basel leverage cycle," LSE Research Online Documents on Economics 65089, London School of Economics and Political Science, LSE Library.
    5. Fischer, Thomas & Riedler, Jesper, 2012. "Prices, debt and market structure in an agent-based model of the financial market," ZEW Discussion Papers 12-045, ZEW - Leibniz Centre for European Economic Research.
    6. Christoph Aymanns & J. Doyne Farmer, 2014. "The dynamics of the leverage cycle," Papers 1407.5305, arXiv.org, revised Aug 2014.
    7. Monica Billio & Mila Getmansky & Andrew W. Lo & Loriana Pelizzon, 2010. "Econometric Measures of Systemic Risk in the Finance and Insurance Sectors," NBER Working Papers 16223, National Bureau of Economic Research, Inc.
    8. Chollete, Loran & Ning, Cathy, 2009. "The Dependence Structure of Macroeconomic Variables in the US," UiS Working Papers in Economics and Finance 2009/31, University of Stavanger.
    9. Valentin Haddad, 2012. "Concentrated Ownership and Equilibrium Asset Prices," 2012 Meeting Papers 902, Society for Economic Dynamics.
    10. Anginer, Deniz & Demirguc-Kunt, Asli, 2011. "Has the global banking system become more fragile over time ?," Policy Research Working Paper Series 5849, The World Bank.
    11. Chollete, Loran & Pena, Victor de la & Lu, Ching-Chih, 2009. "International Diversification: A Copula Approach," UiS Working Papers in Economics and Finance 2009/27, University of Stavanger.
    12. Tobias Adrian & Erkko Etula, 2010. "Funding liquidity risk and the cross-section of stock returns," Staff Reports 464, Federal Reserve Bank of New York.
    13. Michael Woodford, 2010. "Financial Intermediation and Macroeconomic Analysis," Journal of Economic Perspectives, American Economic Association, vol. 24(4), pages 21-44, Fall.
    14. Gabriele Galati & Richhild Moessner, 2013. "Macroprudential Policy – A Literature Review," Journal of Economic Surveys, Wiley Blackwell, vol. 27(5), pages 846-878, December.
    15. Ekaterina Svetlova & Henk van Elst, 2012. "How is non-knowledge represented in economic theory?," Papers 1209.2204, arXiv.org.
    16. Nivorozhkin, Eugene & Chondrogiannis, Ilias, 2022. "Shifting balances of systemic risk in the Chinese banking sector: Determinants and trends," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 76(C).
    17. Chollete, Lorán & de la Peña, Victor & Lu, Ching-Chih, 2012. "International diversification: An extreme value approach," Journal of Banking & Finance, Elsevier, vol. 36(3), pages 871-885.
    18. O’Brien, James & Szerszeń, Paweł J., 2017. "An evaluation of bank measures for market risk before, during and after the financial crisis," Journal of Banking & Finance, Elsevier, vol. 80(C), pages 215-234.
    19. Chollete, Lorán & de la Peña, Victor & Lu, Ching-Chih, 2011. "International diversification: A copula approach," Journal of Banking & Finance, Elsevier, vol. 35(2), pages 403-417, February.
    20. Ismaila Akanni Yusuf & Agatha Nkem Amadi & Mohammed Bashir Salaudeen, 2020. "Effects of Risk Culture and Appetite on Effective Risk Management in Nigerian Banks: Case Study of United Bank for Africa Plc," Academic Journal of Economic Studies, Faculty of Finance, Banking and Accountancy Bucharest,"Dimitrie Cantemir" Christian University Bucharest, vol. 6(2), pages 81-87, June.
    21. Tyler Muir & Erkko Etula & Tobias Adrian, 2011. "Broker-Dealer Leverage and the Cross-Section of Stock Returns," 2011 Meeting Papers 1448, Society for Economic Dynamics.
    22. Chollete, Loran & de la Pena , Victor & Lu, Ching-Chih, 2009. "International Diversification: An Extreme Value Approach," UiS Working Papers in Economics and Finance 2009/26, University of Stavanger.
    23. Chollete, Loran & Ning, Cathy, 2010. "Asymmetric Dependence in US Financial Risk Factors?," UiS Working Papers in Economics and Finance 2011/2, University of Stavanger.

  21. Danielsson, Jon & Penaranda, Francisco, 2007. "On the impact of fundamentals, liquidity and coordination on market stability," LSE Research Online Documents on Economics 24480, London School of Economics and Political Science, LSE Library.

    Cited by:

    1. Rainer Masera, 2014. "CRR/CRD IV: the trees and the forest," PSL Quarterly Review, Economia civile, vol. 67(271), pages 381-422.
    2. Olga Shurchkov, 2013. "Coordination and learning in dynamic global games: experimental evidence," Experimental Economics, Springer;Economic Science Association, vol. 16(3), pages 313-334, September.

  22. Danielsson, Jon & Zigrand, Jean-Pierre & Jorgensen, Bjørn N. & Sarma, Mandira & de Vries, C. G., 2006. "Consistent measures of risk," LSE Research Online Documents on Economics 24517, London School of Economics and Political Science, LSE Library.

    Cited by:

    1. Massimiliano Caporin & Michele Costola & Gregory Mathieu Jannin & Bertrand Maillet, 2016. "On the (Ab)Use of Omega?," Working Papers hal-01697640, HAL.
    2. Thomas Spooner & Rahul Savani, 2020. "A Natural Actor-Critic Algorithm with Downside Risk Constraints," Papers 2007.04203, arXiv.org.
    3. Belhajjam, A. & Belbachir, M. & El Ouardirhi, S., 2017. "Robust multivairiate extreme value at risk allocation," Finance Research Letters, Elsevier, vol. 23(C), pages 1-11.

  23. Danielsson, Jon & Zigrand, Jean-Pierre, 2006. "Equilibrium asset pricing with systemic risk," LSE Research Online Documents on Economics 24515, London School of Economics and Political Science, LSE Library.

    Cited by:

    1. Cathy Ning & Loran Chollete, 2012. "Asymmetric Dependence between Aggregate Consumption and Financial Risk," Working Papers 046, Toronto Metropolitan University, Department of Economics.
    2. Schaeck, K. & Silva Buston, C.F. & Wagner, W.B., 2013. "The Two Faces of Interbank Correlation," Discussion Paper 2013-077, Tilburg University, Center for Economic Research.
    3. Schaeck, K. & Silva Buston, C.F. & Wagner, W.B., 2013. "The Two Faces of Interbank Correlation," Other publications TiSEM 01f35859-2db3-4c16-8054-e, Tilburg University, School of Economics and Management.
    4. Monica Billio & Mila Getmansky & Andrew W. Lo & Loriana Pelizzon, 2010. "Econometric Measures of Systemic Risk in the Finance and Insurance Sectors," NBER Working Papers 16223, National Bureau of Economic Research, Inc.
    5. Zigrand, Jean-Pierre, 2014. "Systems and systemic risk in finance and economics," LSE Research Online Documents on Economics 61220, London School of Economics and Political Science, LSE Library.
    6. Wen-Xi Ruan & Xin Yu & Sheng-Yuan Wang & Tian-Cheng Zhao & Ya-Zhen Liu, 2022. "Exploration of China–ASEAN Trade Relations in the Context of Sustainable Economic Development—Based on the Lotka–Volterra Model," Sustainability, MDPI, vol. 15(1), pages 1-22, December.
    7. Boyle, Glenn & Meade, Richard, 2005. "Intra-Country Regulation of Share Markets: Does One Size Fit All?," Working Paper Series 18951, Victoria University of Wellington, The New Zealand Institute for the Study of Competition and Regulation.
    8. Bernard, Carole & Cui, Xuecan, 2023. "Impact of systemic risk regulation on optimal policies and asset prices," Journal of Banking & Finance, Elsevier, vol. 154(C).
    9. Bakoush, Mohamed & Gerding, Enrico H. & Wolfe, Simon, 2019. "Margin requirements and systemic liquidity risk," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 58(C), pages 78-95.
    10. Chollete, Lorán & de la Peña, Victor & Klass, Michael, 2023. "The price of independence in a model with unknown dependence," Mathematical Social Sciences, Elsevier, vol. 123(C), pages 51-58.
    11. Frank Milne, 2008. "Credit Crises, Risk Management Systems and Liquidity Modelling," Working Papers 1, John Deutsch Institute for the Study of Economic Policy.
    12. Cincinelli, Peter & Pellini, Elisabetta & Urga, Giovanni, 2021. "Leverage and systemic risk pro-cyclicality in the Chinese financial system," International Review of Financial Analysis, Elsevier, vol. 78(C).
    13. Seungwoo Choi & Mun Yong Yi, 2021. "Computational Valuation Model of Housing Price Using Pseudo Self Comparison Method," Sustainability, MDPI, vol. 13(20), pages 1-22, October.
    14. Tasca, Paolo & Battiston, Stefano, 2014. "Diversification and financial stability," LSE Research Online Documents on Economics 59297, London School of Economics and Political Science, LSE Library.
    15. Schaeck, K. & Silva Buston, C.F. & Wagner, W.B., 2013. "The Two Faces of Interbank Correlation," Other publications TiSEM 20f96e3f-e3fb-428f-83de-2, Tilburg University, School of Economics and Management.
    16. Chollete, Loran, 2011. "A Model of Endogenous Extreme Events," UiS Working Papers in Economics and Finance 2012/2, University of Stavanger.
    17. Silva-Buston, Consuelo, 2019. "Systemic risk and competition revisited," Journal of Banking & Finance, Elsevier, vol. 101(C), pages 188-205.
    18. Tasca, Paolo & Battiston, Stefano & Deghi, Andrea, 2017. "Portfolio diversification and systemic risk in interbank networks," Journal of Economic Dynamics and Control, Elsevier, vol. 82(C), pages 96-124.
    19. Alexander, Gordon J. & Baptista, Alexandre M., 2009. "Stress testing by financial intermediaries: Implications for portfolio selection and asset pricing," Journal of Financial Intermediation, Elsevier, vol. 18(1), pages 65-92, January.
    20. Jean-Pierre Zigrand & Hyun Song Shin & Jon Danielsson, 2010. "Risk Appetite and Endogenous Risk," FMG Discussion Papers dp647, Financial Markets Group.
    21. Seo Joon Choi & Kanghyun Kim & Sunyoung Park, 2020. "Is systemic risk systematic? Evidence from the U.S. stock markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 25(4), pages 642-663, October.
    22. Jose Fique & Frank Page, 2013. "Rollover risk and endogenous network dynamics," Computational Management Science, Springer, vol. 10(2), pages 213-230, June.
    23. Bruce Mizrach, 2012. "Comment on "Endogenous and Systemic Risk"," NBER Chapters, in: Quantifying Systemic Risk, pages 94-105, National Bureau of Economic Research, Inc.
    24. De Caux, Robert & McGroarty, Frank & Brede, Markus, 2017. "The evolution of risk and bailout strategy in banking systems," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 468(C), pages 109-118.

  24. Danielsson, Jon & Jorgensen, Bjørn N. & Mandira, Sarma & Samorodnitsky, Gennady & Vries, C. G. de, 2005. "Subadditivity re–examined: the case for value-at-risk," LSE Research Online Documents on Economics 24668, London School of Economics and Political Science, LSE Library.

    Cited by:

    1. Jaume Belles‐Sampera & Montserrat Guillén & Miguel Santolino, 2014. "Beyond Value‐at‐Risk: GlueVaR Distortion Risk Measures," Risk Analysis, John Wiley & Sons, vol. 34(1), pages 121-134, January.
    2. Georg Mainik & Ludger Rüschendorf, 2010. "On optimal portfolio diversification with respect to extreme risks," Finance and Stochastics, Springer, vol. 14(4), pages 593-623, December.
    3. Albert J Menkveld, 2017. "Crowded Positions: An Overlooked Systemic Risk for Central Clearing Parties," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 7(2), pages 209-242.
    4. Alexander, Gordon J. & Baptista, Alexandre M. & Yan, Shu, 2013. "A comparison of the original and revised Basel market risk frameworks for regulating bank capital," Journal of Economic Behavior & Organization, Elsevier, vol. 85(C), pages 249-268.
    5. Thierry Cohignac & Nabil Kazi-Tani, 2019. "Quantile Mixing and Model Uncertainty Measures," Working Papers hal-02405859, HAL.
    6. Genest, Christian & Gerber, Hans U. & Goovaerts, Marc J. & Laeven, Roger J.A., 2009. "Editorial to the special issue on modeling and measurement of multivariate risk in insurance and finance," Insurance: Mathematics and Economics, Elsevier, vol. 44(2), pages 143-145, April.
    7. Oliver Kley & Claudia Kluppelberg & Gesine Reinert, 2014. "Risk in a large claims insurance market with bipartite graph structure," Papers 1410.8671, arXiv.org, revised Nov 2015.
    8. Alexander, Gordon J. & Baptista, Alexandre M. & Yan, Shu, 2012. "When more is less: Using multiple constraints to reduce tail risk," Journal of Banking & Finance, Elsevier, vol. 36(10), pages 2693-2716.
    9. Geenens, Gery & Dunn, Richard, 2022. "A nonparametric copula approach to conditional Value-at-Risk," Econometrics and Statistics, Elsevier, vol. 21(C), pages 19-37.
    10. J. Dhaene & R. J. A. Laeven & S. Vanduffel & G. Darkiewicz & M. J. Goovaerts, 2008. "Can a Coherent Risk Measure Be Too Subadditive?," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 75(2), pages 365-386, June.
    11. Kratz , Marie, 2013. "There is a VaR Beyond Usual Approximations," ESSEC Working Papers WP1317, ESSEC Research Center, ESSEC Business School.
    12. Bakshi, Gurdip & Panayotov, George, 2010. "First-passage probability, jump models, and intra-horizon risk," Journal of Financial Economics, Elsevier, vol. 95(1), pages 20-40, January.
    13. J. D. Opdyke, 2014. "Estimating Operational Risk Capital with Greater Accuracy, Precision, and Robustness," Papers 1406.0389, arXiv.org, revised Nov 2014.
    14. Charles-Olivier Amedee-Manesme & Fabrice Barthélémy, 2012. "Cornish-Fisher expansion for real estate value at risk," ERES eres2012_044, European Real Estate Society (ERES).
    15. Carole Bernard & Ludger Rüschendorf & Steven Vanduffel & Ruodu Wang, 2017. "Risk bounds for factor models," Finance and Stochastics, Springer, vol. 21(3), pages 631-659, July.
    16. Dominique Guegan & Bertrand Hassani, 2014. "Distortion Risk Measures or the Transformation of Unimodal Distributions into Multimodal Functions," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00969242, HAL.
    17. Enilov, Martin & Mensi, Walid & Stankov, Petar, 2023. "Does safe haven exist? Tail risks of commodity markets during COVID-19 pandemic," Journal of Commodity Markets, Elsevier, vol. 29(C).
    18. Emese Lazar & Ning Zhang, 2017. "Model Risk of Expected Shortfall," ICMA Centre Discussion Papers in Finance icma-dp2017-10, Henley Business School, University of Reading.
    19. Wagner Piazza Gaglianone & Luiz Renato Lima & Oliver Linton & Daniel R. Smith, 2011. "Evaluating Value-at-Risk Models via Quantile Regression," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 29(1), pages 150-160, January.
    20. Hofert, Marius & McNeil, Alexander J., 2015. "Subadditivity of Value-at-Risk for Bernoulli random variables," Statistics & Probability Letters, Elsevier, vol. 98(C), pages 79-88.
    21. Semih Atakan & Kerem Bülbül & Nilay Noyan, 2017. "Minimizing value-at-risk in single-machine scheduling," Annals of Operations Research, Springer, vol. 248(1), pages 25-73, January.
    22. Jaume Belles-Sampera & Montserrat Guillén & Miguel Santolino, 2013. "“Beyond Value-at-Risk: GlueVaR Distortion Risk Measures”," IREA Working Papers 201302, University of Barcelona, Research Institute of Applied Economics, revised Feb 2013.
    23. Marie Kratz, 2013. "There is a VaR Beyond Usual Approximations," Working Papers hal-00880258, HAL.
    24. Radu Tunaru, 2015. "Model Risk in Financial Markets:From Financial Engineering to Risk Management," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 9524, October.
    25. Dominique Guegan & Bertrand Hassani, 2014. "Distortion Risk Measures or the Transformation of Unimodal Distributions into Multimodal Functions," Post-Print halshs-00969242, HAL.
    26. Casper G. de Vries & Mandira Sarma & Bjørn N. Jorgensen & Jean-Pierre Zigrand & Jon Danielsson, 2006. "Consistent Measures of Risk," FMG Discussion Papers dp565, Financial Markets Group.
    27. Szüle, Borbála, 2010. "Biztosítók kockázatdiverzifikációja [Risk diversification of insurers]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(7), pages 634-651.
    28. Embrechts, Paul & Neslehová, Johanna & Wüthrich, Mario V., 2009. "Additivity properties for Value-at-Risk under Archimedean dependence and heavy-tailedness," Insurance: Mathematics and Economics, Elsevier, vol. 44(2), pages 164-169, April.
    29. Marie Kratz, 2013. "There is a VaR beyond usual approximations," Papers 1311.0270, arXiv.org.
    30. Joaquin, Domingo Castelo, 2009. "Value at risk: Is a theoretically consistent axiomatic formulation possible?," The Quarterly Review of Economics and Finance, Elsevier, vol. 49(2), pages 725-729, May.
    31. Dirk Tasche, 2005. "Measuring sectoral diversification in an asymptotic multi-factor framework," Papers physics/0505142, arXiv.org, revised Jul 2006.
    32. Ziggel, Daniel & Berens, Tobias & Weiß, Gregor N.F. & Wied, Dominik, 2014. "A new set of improved Value-at-Risk backtests," Journal of Banking & Finance, Elsevier, vol. 48(C), pages 29-41.
    33. Adrián F. Rossignolo, 2019. "Basel IV A gloomy future for Expected Shortfall risk models. Evidence from the Mexican Stock Market," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 14(PNEA), pages 559-582, Agosto 20.
    34. Babat, Onur & Vera, Juan C. & Zuluaga, Luis F., 2018. "Computing near-optimal Value-at-Risk portfolios using integer programming techniques," European Journal of Operational Research, Elsevier, vol. 266(1), pages 304-315.
    35. Daníelsson, Jón & Jorgensen, Bjørn N. & Samorodnitsky, Gennady & Sarma, Mandira & de Vries, Casper G., 2013. "Fat tails, VaR and subadditivity," Journal of Econometrics, Elsevier, vol. 172(2), pages 283-291.
    36. Paul Embrechts & Bin Wang & Ruodu Wang, 2015. "Aggregation-robustness and model uncertainty of regulatory risk measures," Finance and Stochastics, Springer, vol. 19(4), pages 763-790, October.

  25. Danielsson, Jon & Jorgensen, Bjørn N. & Sarma, Mandira & Vries, C. G. de, 2005. "Comparing downside risk measures for heavy tailed distribution," LSE Research Online Documents on Economics 24671, London School of Economics and Political Science, LSE Library.

    Cited by:

    1. Danielsson, Jon & Zhou, Chen, 2015. "Why risk is so hard to measure," LSE Research Online Documents on Economics 62002, London School of Economics and Political Science, LSE Library.
    2. Marco Rocco, 2011. "Extreme value theory for finance: a survey," Questioni di Economia e Finanza (Occasional Papers) 99, Bank of Italy, Economic Research and International Relations Area.
    3. Tarasov, Arthur, 2011. "Coherent Quantitative Analysis of Risks in Agribusiness: Case of Ukraine," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 3(4), pages 1-7, December.
    4. Dennis W. Jansen & Liqun Liu, 2022. "Portfolio choice in the model of expected utility with a safety-first component," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 45(1), pages 187-207, June.
    5. Pais, Amelia & Stork, Philip A., 2011. "Contagion risk in the Australian banking and property sectors," Journal of Banking & Finance, Elsevier, vol. 35(3), pages 681-697, March.
    6. James, Nick & Menzies, Max, 2023. "An exploration of the mathematical structure and behavioural biases of 21st century financial crises," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 630(C).
    7. Andre R. Neveu, 2018. "A survey of network-based analysis and systemic risk measurement," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 13(2), pages 241-281, July.
    8. Tavakoli Baghdadabad, Mohammad Reza, 2014. "Average drawdown risk reduction and risk tolerances," Research in Economics, Elsevier, vol. 68(3), pages 264-276.
    9. Felix, Luiz & Kräussl, Roman & Stork, Philip, 2017. "Single stock call options as lottery tickets," CFS Working Paper Series 566, Center for Financial Studies (CFS).
    10. Olmo, José, 2007. "The impact of heavy tails and comovements in downside-risk diversification," UC3M Working papers. Economics we20070208, Universidad Carlos III de Madrid. Departamento de Economía.
    11. Michael C. Nwogugu, 2020. "Decision-Making, Sub-Additive Recursive "Matching" Noise And Biases In Risk-Weighted Stock/Bond Index Calculation Methods In Incomplete Markets With Partially Observable Multi-Attribute Pref," Papers 2005.01708, arXiv.org.
    12. Nieto, Maria Rosa & Ruiz, Esther, 2016. "Frontiers in VaR forecasting and backtesting," International Journal of Forecasting, Elsevier, vol. 32(2), pages 475-501.
    13. Luiz Félix & Roman Kräussl & Philip Stork, 2019. "Single Stock Call Options as Lottery Tickets: Overpricing and Investor Sentiment," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 20(4), pages 385-407, October.
    14. Tee, Kai-Hong, 2009. "The effect of downside risk reduction on UK equity portfolios included with Managed Futures Funds," International Review of Financial Analysis, Elsevier, vol. 18(5), pages 303-310, December.
    15. Majumder, Debasish, 2023. "Subjectivity in conventional tail measures: An exploratory model with 'risks & biases’," Finance Research Letters, Elsevier, vol. 55(PB).
    16. Antonio Di Cesare & Philip A. Stork & Casper G. de Vries, 2011. "Risk measures for autocorrelated hedge fund returns," Temi di discussione (Economic working papers) 831, Bank of Italy, Economic Research and International Relations Area.
    17. Adam, Alexandre & Houkari, Mohamed & Laurent, Jean-Paul, 2008. "Spectral risk measures and portfolio selection," Journal of Banking & Finance, Elsevier, vol. 32(9), pages 1870-1882, September.
    18. Ergun, Lerby & Molchanov, Alexander & Stork, Philip, 2023. "Technical trading rules, loss avoidance, and the business cycle," Pacific-Basin Finance Journal, Elsevier, vol. 82(C).
    19. Auer, Benjamin R., 2018. "A note on Guo and Xiao's (2016) results on monotonic functions of the Sharpe ratio," Finance Research Letters, Elsevier, vol. 24(C), pages 289-290.
    20. Gregory-Allen, Russell & Lu, Helen & Stork, Philip, 2012. "Asymmetric extreme tails and prospective utility of momentum returns," Economics Letters, Elsevier, vol. 117(1), pages 295-297.
    21. Namwon Hyung & Casper G. de Vries, 2010. "The Downside Risk of Heavy Tails induces Low Diversification," Tinbergen Institute Discussion Papers 10-082/2, Tinbergen Institute.

  26. Danielsson, Jon & Shin, Hyun Song & Zigrand, Jean-Pierre, 2004. "The impact of risk regulation on price dynamics," LSE Research Online Documents on Economics 16628, London School of Economics and Political Science, LSE Library.

    Cited by:

    1. Hakenes, Hendrik & Schnabel, Isabel, 2005. "Bank Size and Risk-Taking under Basel II," Sonderforschungsbereich 504 Publications 05-07, Sonderforschungsbereich 504, Universität Mannheim;Sonderforschungsbereich 504, University of Mannheim.
    2. Altunbas, Yener & Binici, Mahir & Gambacorta, Leonardo, 2018. "Macroprudential policy and bank risk," Journal of International Money and Finance, Elsevier, vol. 81(C), pages 203-220.
    3. Stephen Morris & Hyun Song Shin, 2003. "Liquidity Black Holes," Cowles Foundation Discussion Papers 1434, Cowles Foundation for Research in Economics, Yale University.
    4. Ilhyock Shim & Goetz von Peter, 2007. "Distress selling and asset market feedback," BIS Working Papers 229, Bank for International Settlements.
    5. Rama Cont & Lakshithe Wagalath, 2012. "Fire Sales Forensics: Measuring Endogenous Risk," Working Papers hal-00697224, HAL.
    6. Claudio Borio & Harold James & Hyun Song Shin, 2014. "The international monetary and financial system: a capital account historical perspective," Globalization Institute Working Papers 204, Federal Reserve Bank of Dallas.
    7. Bijapur, Mohan & Croci, Manuela & Zaidi, Rida, 2012. "Do asset regulations impede portfolio diversification? evidence from European life insurance funds," LSE Research Online Documents on Economics 56618, London School of Economics and Political Science, LSE Library.
    8. Péter Kondor, 2006. "Risk in Dynamic Arbitrage: Price Effects of Convergence Trading," MNB Working Papers 2006/6, Magyar Nemzeti Bank (Central Bank of Hungary).
    9. Claudio Borio, 2011. "Rediscovering the Macroeconomic Roots of Financial Stability Policy: Journey, Challenges, and a Way Forward," Annual Review of Financial Economics, Annual Reviews, vol. 3(1), pages 87-117, December.
    10. Constantinides, George M. & Lian, Lei, 2021. "The Supply and Demand of S&P 500 Put Options," Critical Finance Review, now publishers, vol. 10(1), pages 1-20, April.
    11. Carey, Mark & Stulz, Rene M., 2005. "The Risks of Financial Institutions," Working Paper Series 2005-13, Ohio State University, Charles A. Dice Center for Research in Financial Economics.
    12. Claudio E. V. Borio & Kostas Tsatsaronis, 2005. "Accounting, prudential regulation and financial stability: elements of a synthesis," BIS Working Papers 180, Bank for International Settlements.
    13. Jason Allen & Andrew Usher, 2020. "Investment dealer collateral and leverage procyclicality," Empirical Economics, Springer, vol. 58(2), pages 489-505, February.
    14. Aymanns, Christoph & Caccioli, Fabio & Farmer, J. Doyne & Tan, Vincent W.C., 2015. "Taming the Basel leverage cycle," LSE Research Online Documents on Economics 65089, London School of Economics and Political Science, LSE Library.
    15. Bjarni G. Einarsson & Kristófer Gunnlaugsson & Thorvardur Tjörvi Ólafsson & Thórarinn G. Pétursson, 2016. "Small open economies in the vast oceanof global high finance," Economics wp73, Department of Economics, Central bank of Iceland.
    16. Jukka Isohätälä & Alistair Milne & Donald Robertson, 2020. "The Net Worth Trap: Investment and Output Dynamics in the Presence of Financing Constraints," Mathematics, MDPI, vol. 8(8), pages 1-32, August.
    17. Charilaos Mertzanis, 2013. "Risk Management Challenges after the Financial Crisis," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 42(3), pages 285-320, November.
    18. Altunbas, Yener & Gambacorta, Leonardo & Marqués-Ibáñez, David, 2009. "Bank risk and monetary policy," Working Paper Series 1075, European Central Bank.
    19. Christoph Aymanns & J. Doyne Farmer, 2014. "The dynamics of the leverage cycle," Papers 1407.5305, arXiv.org, revised Aug 2014.
    20. Sushanta K Mallick & Madhusudan Mohanty & Fabrizio Zampolli, 2017. "Market volatility, monetary policy and the term premium," BIS Working Papers 606, Bank for International Settlements.
    21. Borio, Claudio & Zhu, Haibin, 2012. "Capital regulation, risk-taking and monetary policy: A missing link in the transmission mechanism?," Journal of Financial Stability, Elsevier, vol. 8(4), pages 236-251.
    22. Tabak, Benjamin Miranda, 2013. "Financial Stability and Monetary Policy - The case of Brazil," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 67(4), November.
    23. Schuler, Tobias & Corrado, Luisa, 2019. "Financial cycles, credit bubbles and stabilization policies," Working Paper Series 2336, European Central Bank.
    24. Jón Daníelsson & Jean-Pierre Zigrand, 2008. "Equilibrium asset pricing with systemic risk," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 35(2), pages 293-319, May.
    25. Llacay, Bàrbara & Peffer, Gilbert, 2017. "Impact of value-at-risk models on market stability," Journal of Economic Dynamics and Control, Elsevier, vol. 82(C), pages 223-256.
    26. Veronica Guerrieri & Péter Kondor, 2009. "Fund Managers, Career Concerns, and Asset Price Volatility," NBER Working Papers 14898, National Bureau of Economic Research, Inc.
    27. Tobias Adrian & Hyun Song Shin, 2008. "Liquidity and leverage," Staff Reports 328, Federal Reserve Bank of New York.
    28. Asghar Ali & Kevin Daly, 2010. "What Explain Credit Defaults? A Comparative Study," SBP Research Bulletin, State Bank of Pakistan, Research Department, vol. 6, pages 51-65.
    29. Araújo, Aloísio Pessoa & Vicente, José Valentim M., 2006. "Risk Regulation in Brazil: A General Equilibrium Model," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 26(1), May.
    30. Yener Altunbas & Leonardo Gambacorta & David Marques-Ibanez, 2010. "Does monetary policy affect bank risk-taking?," BIS Working Papers 298, Bank for International Settlements.
    31. Yener Altunbas & Leonardo Gambacorta & David Marques-Ibanez, 2012. "Does monetary policy affect bank risk?," Working Papers 12002, Bangor Business School, Prifysgol Bangor University (Cymru / Wales).
    32. Mazzarisi, Piero & Lillo, Fabrizio & Marmi, Stefano, 2019. "When panic makes you blind: A chaotic route to systemic risk," Journal of Economic Dynamics and Control, Elsevier, vol. 100(C), pages 176-199.
    33. Trino-Manuel Ñíguez, 2008. "Volatility and VaR forecasting in the Madrid Stock Exchange," Spanish Economic Review, Springer;Spanish Economic Association, vol. 10(3), pages 169-196, September.
    34. Lakshithe Wagalath, 2017. "Lost In Contagion? Building A Liquidation Index From Covariance Dynamics," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 20(01), pages 1-26, February.
    35. Peiris, M.U. & Shirobokov, A. & Tsomocos, D.P., 2024. "Does “Lean Against the Wind” monetary policy improve welfare in a commodity exporter?," Journal of International Money and Finance, Elsevier, vol. 141(C).
    36. Borio, Claudio, 2014. "The financial cycle and macroeconomics: What have we learnt?," Journal of Banking & Finance, Elsevier, vol. 45(C), pages 182-198.
    37. Ekin Ayse Ozsuca & Elif Akbostanci, 2012. "An Empirical Analysis of the Risk Taking Channel of Monetary Policy in Turkey," ERC Working Papers 1208, ERC - Economic Research Center, Middle East Technical University, revised Dec 2012.
    38. Noor-e-Saher & Mehran Herbert, 2010. "Response of Long-term Interest Rate to Fiscal Imbalance: Evidence from Pakistan," SBP Research Bulletin, State Bank of Pakistan, Research Department, vol. 6, pages 43-49.
    39. Leonardo Gambacorta & Sudipto Karmakar, 2018. "Leverage and Risk-Weighted Capital Requirements," International Journal of Central Banking, International Journal of Central Banking, vol. 14(5), pages 153-191, December.
    40. Tommaso Trani, 2012. "Countercyclical Capital Regulation and Bank Ownership Structure," IHEID Working Papers 14-2012, Economics Section, The Graduate Institute of International Studies.
    41. Bijapur, Mohan & Croci, Manuela & Zaidi, Rida, 2012. "Do Asset Regulations Impede Portfolio Diversification? Evidence from European Life Insurance Funds," MPRA Paper 54265, University Library of Munich, Germany.
    42. Claudio E. V. Borio & Kostas Tsatsaronis, 2006. "Risk in financial reporting: status, challenges and suggested directions," BIS Working Papers 213, Bank for International Settlements.
    43. Ali, Asghar & Daly, Kevin, 2010. "Macroeconomic determinants of credit risk: Recent evidence from a cross country study," International Review of Financial Analysis, Elsevier, vol. 19(3), pages 165-171, June.
    44. Luisa Corrado & Tobias Schuler, 2018. "Financial Bubbles in Interbank Lending," CEIS Research Paper 427, Tor Vergata University, CEIS, revised 06 Apr 2018.
    45. Sirio Aramonte & Andreas Schrimpf & Hyun Song Shin, 2023. "Non-bank financial intermediaries and financial stability," Chapters, in: Refet S. Gürkaynak & Jonathan H. Wright (ed.), Research Handbook of Financial Markets, chapter 7, pages 147-170, Edward Elgar Publishing.
    46. Claudio E. V. Borio, 2004. "Market distress and vanishing liquidity: anatomy and policy options," BIS Working Papers 158, Bank for International Settlements.
    47. Robert N. Collender & Forrest W. Pafenberg & Robert S. Seiler, Jr., 2010. "Automatic Recapitalization Alternatives," FHFA Staff Working Papers 10-02, Federal Housing Finance Agency.
    48. Borio, Claudio & Tsatsaronis, Kostas, 2004. "Accounting and prudential regulation: from uncomfortable bedfellows to perfect partners?," Journal of Financial Stability, Elsevier, vol. 1(1), pages 111-135, September.
    49. Kang, Namho & Kondor, Péter & Sadka, Ronnie, 2014. "Do Hedge Funds Reduce Idiosyncratic Risk?," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 49(4), pages 843-877, August.
    50. Piersanti, Giovanni, 2012. "The Macroeconomic Theory of Exchange Rate Crises," OUP Catalogue, Oxford University Press, number 9780199653126.
    51. Farmer, J. Doyne & Kleinnijenhuis, Alissa & Wetzer, Thom & Aymanns, Christopher, 2018. "Models of Financial Stability and Their Application in Stress Tests," INET Oxford Working Papers 2018-06, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
    52. Lakshithe Wagalath, 2016. "Feedback effects and endogenous risk in financial markets," Finance, Presses universitaires de Grenoble, vol. 37(2), pages 39-74.
    53. Danielsson, Jon & Zigrand, Jean-Pierre, 2006. "On time-scaling of risk and the square-root-of-time rule," Journal of Banking & Finance, Elsevier, vol. 30(10), pages 2701-2713, October.
    54. O’Brien, James & Szerszeń, Paweł J., 2017. "An evaluation of bank measures for market risk before, during and after the financial crisis," Journal of Banking & Finance, Elsevier, vol. 80(C), pages 215-234.
    55. Piero Mazzarisi & Fabrizio Lillo & Stefano Marmi, 2018. "When panic makes you blind: a chaotic route to systemic risk," Papers 1805.00785, arXiv.org.
    56. Bjarni G. Einarsson & Kristófer Gunnlaugsson & Thorvardur Tjörvi Ólafsson & Thórarinn G. Pétursson, 2016. "The long history of financial boom-bust cycles in Iceland - Part II: Financial cycles," Economics wp72, Department of Economics, Central bank of Iceland.
    57. Guo, Rui & Jiang, Ying & Li, Ao & Qiu, Zhigang & Wang, Hefei, 2021. "A model of delegation with a VaR constraint," Finance Research Letters, Elsevier, vol. 42(C).
    58. Huang, Shiyang & Jiang, Ying & Qiu, Zhigang & Ye, Zhiqiang, 2019. "An equilibrium model of risk management spillover," Journal of Banking & Finance, Elsevier, vol. 107(C), pages 1-1.
    59. James M. O'Brien & Pawel J. Szerszen, 2014. "An Evaluation of Bank VaR Measures for Market Risk During and Before the Financial Crisis," Finance and Economics Discussion Series 2014-21, Board of Governors of the Federal Reserve System (U.S.).
    60. Yuan Chang, 2016. "Financial Soundness Indicator, Financial Cycle, Credit Cycle and Business Cycle£­Evidence from Taiwan," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 8(4), pages 166-182, April.
    61. Berg, Tobias & Koziol, Philipp, 2017. "An analysis of the consistency of banks’ internal ratings," Journal of Banking & Finance, Elsevier, vol. 78(C), pages 27-41.
    62. Łukasz Lenart & Mateusz Pipień, 2015. "Empirical Properties of the Credit and Equity Cycle within Almost Periodically Correlated Stochastic Processes - the Case of Poland, UK and USA," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 7(3), pages 169-186, September.
    63. Jean-Pierre Zigrand & Hyun Song Shin & Jon Danielsson, 2010. "Risk Appetite and Endogenous Risk," FMG Discussion Papers dp647, Financial Markets Group.
    64. Fulvio Corsi & Stefano Marmi & Fabrizio Lillo, 2016. "When Micro Prudence Increases Macro Risk: The Destabilizing Effects of Financial Innovation, Leverage, and Diversification," Operations Research, INFORMS, vol. 64(5), pages 1073-1088, October.
    65. Liu, Xiangbo & Qiu, Zhigang & Xiong, Yan, 2013. "VaR constrained asset pricing with relative performance," Economics Letters, Elsevier, vol. 121(2), pages 174-178.
    66. Kondor, Péter & Sadka, Ronnie & Kang, Namho, 2011. "Idiosyncratic Return Volatility in the Cross-Section of Stocks," CEPR Discussion Papers 8307, C.E.P.R. Discussion Papers.
    67. Bruce Mizrach, 2012. "Comment on "Endogenous and Systemic Risk"," NBER Chapters, in: Quantifying Systemic Risk, pages 94-105, National Bureau of Economic Research, Inc.
    68. Moisă ALTĂR & Matei KUBINSCHI & Dinu BARNEA, 2017. "Measuring Financial Cycle Length and Assessing Synchronization using Wavelets," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 18-36, September.
    69. Leonardo Gambacorta, 2009. "Monetary policy and the risk-taking channel," BIS Quarterly Review, Bank for International Settlements, December.
    70. Alessandro Leardi, 2022. "Fuelling fire sales? Prudential regulation and crises: evidence from the Italian market," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 46(1), pages 121-144, January.
    71. Rytchkov, Oleg, 2016. "Time-Varying Margin Requirements and Optimal Portfolio Choice," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 51(2), pages 655-683, April.
    72. Khosravi, Taha, 2015. "The Impact of a Low Interest Rate Environment: Empirical Evidence from the Euro Area Bank Lending Survey," MPRA Paper 67363, University Library of Munich, Germany.
    73. Domenico Cuoco & Hua He & Sergei Isaenko, 2008. "Optimal Dynamic Trading Strategies with Risk Limits," Operations Research, INFORMS, vol. 56(2), pages 358-368, April.
    74. René Garcia & Éric Renault & Georges Tsafack, 2007. "Proper Conditioning for Coherent VaR in Portfolio Management," Management Science, INFORMS, vol. 53(3), pages 483-494, March.

  27. Danielsson, Jon & Saltoglu, Burak, 2003. "Anatomy of a market crash: a market microstructure analysis of the Turkish overnight liquidity crisis," LSE Research Online Documents on Economics 24855, London School of Economics and Political Science, LSE Library.

    Cited by:

    1. Kuzubaş, Tolga Umut & Ömercikoğlu, Inci & Saltoğlu, Burak, 2014. "Network centrality measures and systemic risk: An application to the Turkish financial crisis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 405(C), pages 203-215.
    2. Başak Tanyeri, 2010. "Financial Transparency and Sources of Hidden Capital in Turkish Banks," Journal of Financial Services Research, Springer;Western Finance Association, vol. 37(1), pages 25-43, February.
    3. Saltoglu, Burak & Yenilmez, Taylan, 2010. "Analyzing Systemic Risk with Financial Networks An Application During a Financial Crash," MPRA Paper 26684, University Library of Munich, Germany.
    4. Nikola Gradojevic, 2007. "A market microstructure analysis of the Canadian dollar depreciation episodes in the 1990s," Applied Financial Economics, Taylor & Francis Journals, vol. 17(17), pages 1377-1387.
    5. Kathy Yuan & Emre Ozdenoren & Itay Goldstein, 2008. "Learning and Complementarities: Implications for Speculative Attacks," 2008 Meeting Papers 276, Society for Economic Dynamics.
    6. Burak Saltoğlu, 2013. "Turkish Banking Sector Current Status and the Future Challenges," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 41(1), pages 75-86, March.
    7. Andrea Eross & Andrew Urquhart & Simon Wolfe, 2019. "Investigating risk contagion initiated by endogenous liquidity shocks: evidence from the US and eurozone interbank markets," The European Journal of Finance, Taylor & Francis Journals, vol. 25(1), pages 35-53, January.
    8. Eross, Andrea & Urquhart, Andrew & Wolfe, Simon, 2016. "Liquidity risk contagion in the interbank market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 45(C), pages 142-155.
    9. Raphael Solomon, 2004. "When Bad Things Happen to Good Banks: Contagious Bank Runs and Currency Crises," Staff Working Papers 04-18, Bank of Canada.

  28. Danielsson, Jon & Zigrand, Jean-Pierre, 2003. "On time-scaling of risk and the square–root–of–time rule," LSE Research Online Documents on Economics 24827, London School of Economics and Political Science, LSE Library.

    Cited by:

    1. Christian Walter, 2020. "Sustainable Financial Risk Modelling Fitting the SDGs: Some Reflections," Sustainability, MDPI, vol. 12(18), pages 1-28, September.
    2. George Tzagkarakis & Frantz Maurer, 2020. "An energy-based measure for long-run horizon risk quantification," Annals of Operations Research, Springer, vol. 289(2), pages 363-390, June.
    3. Stavros Degiannakis & Pamela Dent & Christos Floros, 2014. "A Monte Carlo Simulation Approach to Forecasting Multi-period Value-at-Risk and Expected Shortfall Using the FIGARCH-skT Specification," Manchester School, University of Manchester, vol. 82(1), pages 71-102, January.
    4. Santos, André A.P. & Nogales, Francisco J. & Ruiz, Esther & Dijk, Dick Van, 2012. "Optimal portfolios with minimum capital requirements," Journal of Banking & Finance, Elsevier, vol. 36(7), pages 1928-1942.
    5. Boudewijn de Bruin & Christian Walter, 2017. "Research Habits in Financial Modelling: The Case of Non-normality of Market Returns in the 1970s and the 1980s," Post-Print hal-04561125, HAL.
    6. Adrián F. Rossignolo, 2021. "The New Standardised Approach as a Credible Fallback," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 16(TNEA), pages 1-27, Septiembr.
    7. Del Brio, Esther B. & Mora-Valencia, Andrés & Perote, Javier, 2014. "VaR performance during the subprime and sovereign debt crises: An application to emerging markets," Emerging Markets Review, Elsevier, vol. 20(C), pages 23-41.
    8. Do, Truc & Zhang, Huai & Zuo, Luo, 2022. "Rocking the boat: How relative performance evaluation affects corporate risk taking," Journal of Accounting and Economics, Elsevier, vol. 73(1).
    9. Charilaos Mertzanis, 2013. "Risk Management Challenges after the Financial Crisis," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 42(3), pages 285-320, November.
    10. Erik Kole & Thijs Markwat & Anne Opschoor & Dick van Dijk, 2017. "Forecasting Value-at-Risk under Temporal and Portfolio Aggregation," Journal of Financial Econometrics, Oxford University Press, vol. 15(4), pages 649-677.
    11. Saadi, Samir & Rahman, Abdul, 2008. "Evidence of non-stationary bias in scaling by square root of time: Implications for Value-at-Risk," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 18(3), pages 272-289, July.
    12. Alfred Mbairadjim Moussa & Jules Sadefo Kamdem & Arnold F. Shapiro & Michel Terraza, 2012. "Capital asset pricing model with fuzzy returns and hypothesis testing," Working Papers 12-33, LAMETA, Universtiy of Montpellier, revised Sep 2012.
    13. Bakshi, Gurdip & Panayotov, George, 2010. "First-passage probability, jump models, and intra-horizon risk," Journal of Financial Economics, Elsevier, vol. 95(1), pages 20-40, January.
    14. Kaouther Toumi & Jean-Laurent Viviani & Zeinab Chayeh, 2019. "Measurement of the displaced commercial risk in Islamic Banks," Post-Print halshs-01806496, HAL.
    15. Cristina Chinazzo & Vahidin Jeleskovic, 2024. "Forecasting Bitcoin Volatility: A Comparative Analysis of Volatility Approaches," Papers 2401.02049, arXiv.org.
    16. Toumi, Kaouther & Viviani, Jean-Laurent & Chayeh, Zeinab, 2019. "Measurement of the displaced commercial risk in Islamic Banks," The Quarterly Review of Economics and Finance, Elsevier, vol. 74(C), pages 18-31.
    17. Orla McCullagh & Mark Cummins & Sheila Killian, 2023. "Decoupling VaR and regulatory capital: an examination of practitioners’ experience of market risk regulation," Journal of Banking Regulation, Palgrave Macmillan, vol. 24(3), pages 321-336, September.
    18. Hamid, Alain & Heiden, Moritz, 2015. "Forecasting volatility with empirical similarity and Google Trends," Journal of Economic Behavior & Organization, Elsevier, vol. 117(C), pages 62-81.
    19. Wagner Piazza Gaglianone & Luiz Renato Lima & Oliver Linton & Daniel R. Smith, 2011. "Evaluating Value-at-Risk Models via Quantile Regression," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 29(1), pages 150-160, January.
    20. Rossignolo, Adrian F. & Fethi, Meryem Duygun & Shaban, Mohamed, 2012. "Value-at-Risk models and Basel capital charges," Journal of Financial Stability, Elsevier, vol. 8(4), pages 303-319.
    21. Wang, Jying-Nan & Du, Jiangze & Hsu, Yuan-Teng, 2018. "Measuring long-term tail risk: Evaluating the performance of the square-root-of-time rule," Journal of Empirical Finance, Elsevier, vol. 47(C), pages 120-138.
    22. Liu, Xiaochun, 2017. "An integrated macro-financial risk-based approach to the stressed capital requirement," Review of Financial Economics, Elsevier, vol. 34(C), pages 86-98.
    23. Luca Spadafora & Marco Dubrovich & Marcello Terraneo, 2014. "Value-at-Risk time scaling for long-term risk estimation," Papers 1408.2462, arXiv.org.
    24. Kavussanos, Manolis G. & Dimitrakopoulos, Dimitris N., 2011. "Market risk model selection and medium-term risk with limited data: Application to ocean tanker freight markets," International Review of Financial Analysis, Elsevier, vol. 20(5), pages 258-268.
    25. Stavros Degiannakis & Apostolos Kiohos, 2014. "Multivariate modelling of 10-day-ahead VaR and dynamic correlation for worldwide real estate and stock indices," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 41(2), pages 216-232, March.
    26. Adrián F. Rossignolo & Víctor A. Álvarez, 2015. "Has the Basel Committee Got it Right? Evidence from Commodity Positions in Turmoil," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 10(1), pages 1-38, Enero-Jun.
    27. Pérignon, Christophe & Smith, Daniel R., 2010. "Diversification and Value-at-Risk," Journal of Banking & Finance, Elsevier, vol. 34(1), pages 55-66, January.
    28. Rodrigue Oeuvray & Pascal Junod, 2013. "On time scaling of semivariance in a jump-diffusion process," Papers 1311.1122, arXiv.org.
    29. James Ming Chen, 2018. "On Exactitude in Financial Regulation: Value-at-Risk, Expected Shortfall, and Expectiles," Risks, MDPI, vol. 6(2), pages 1-28, June.
    30. Slim, Skander & Dahmene, Meriam & Boughrara, Adel, 2020. "How informative are variance risk premium and implied volatility for Value-at-Risk prediction? International evidence," The Quarterly Review of Economics and Finance, Elsevier, vol. 76(C), pages 22-37.
    31. Jianping Li & Lu Wei & Cheng-Few Lee & Xiaoqian Zhu & Dengsheng Wu, 2018. "Financial statements based bank risk aggregation," Review of Quantitative Finance and Accounting, Springer, vol. 50(3), pages 673-694, April.
    32. Jean-Paul Laurent & Hassan Omidi Firouzi, 2022. "Market Risk and Volatility Weighted Historical Simulation After Basel III," Working Papers hal-03679434, HAL.
    33. Yinhong Yao & Jianping Li, 2022. "Operational risk assessment of third-party payment platforms: a case study of China," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-20, December.
    34. Nikolaus Rab & Richard Warnung, 2010. "Scaling portfolio volatility and calculating risk contributions in the presence of serial cross-correlations," Papers 1009.3638, arXiv.org, revised Nov 2011.
    35. Cathy W.S. Chen & Toshiaki Watanabe, 2019. "Bayesian modeling and forecasting of Value‐at‐Risk via threshold realized volatility," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 35(3), pages 747-765, May.
    36. Zhu, Xiaoqian & Wei, Lu & Li, Jianping, 2021. "A two-stage general approach to aggregate multiple bank risks," Finance Research Letters, Elsevier, vol. 40(C).
    37. Ardakani, Omid M., 2023. "Coherent measure of portfolio risk," Finance Research Letters, Elsevier, vol. 57(C).
    38. Dangxing Chen, 2019. "Does the leverage effect affect the return distribution?," Papers 1909.08662, arXiv.org, revised Sep 2019.
    39. Al Janabi Mazin A. M., 2010. "Incorporating Asset Liquidity Effects in Risk-Capital Modeling," Review of Middle East Economics and Finance, De Gruyter, vol. 6(1), pages 60-89, July.
    40. Fritzsch, Simon & Timphus, Maike & Weiß, Gregor, 2024. "Marginals versus copulas: Which account for more model risk in multivariate risk forecasting?," Journal of Banking & Finance, Elsevier, vol. 158(C).
    41. Shan Lu, 2019. "Testing the Predictive Ability of Corridor Implied Volatility Under GARCH Models," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 26(2), pages 129-168, June.
    42. Amy S. K. Wong, 2006. "Basel II and the Risk Management of Basket Options with Time-Varying Correlations," International Journal of Central Banking, International Journal of Central Banking, vol. 2(4), December.
    43. Giacomo Toscano & Maria Cristina Recchioni, 2022. "Bias-optimal vol-of-vol estimation: the role of window overlapping," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 45(1), pages 137-185, June.
    44. Murphy, David, 2023. "What can we expect from a good margin model? Observations from whole-distribution tests of risk-based initial margin models," LSE Research Online Documents on Economics 118281, London School of Economics and Political Science, LSE Library.
    45. Gregory Connor & Lisa R. Goldberg & Robert A. Korajczyk, 2010. "Portfolio Risk Analysis," Economics Books, Princeton University Press, edition 1, number 9224.
    46. Adrián F. Rossignolo, 2019. "Basel IV A gloomy future for Expected Shortfall risk models. Evidence from the Mexican Stock Market," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 14(PNEA), pages 559-582, Agosto 20.
    47. Wang, Jying-Nan & Yeh, Jin-Huei & Cheng, Nick Ying-Pin, 2011. "How accurate is the square-root-of-time rule in scaling tail risk: A global study," Journal of Banking & Finance, Elsevier, vol. 35(5), pages 1158-1169, May.
    48. Kiesel, Rüdiger & Rahe, Florentin, 2017. "Option pricing under time-varying risk-aversion with applications to risk forecasting," Journal of Banking & Finance, Elsevier, vol. 76(C), pages 120-138.
    49. Balaban, Ercan & Lu, Shan, 2016. "Forecasting the term structure of volatility of crude oil price changes," Economics Letters, Elsevier, vol. 141(C), pages 116-118.
    50. Ahmed BenSaïda & Sabri Boubaker & Duc Khuong Nguyen & Skander Slim, 2018. "Value‐at‐risk under market shifts through highly flexible models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 37(8), pages 790-804, December.
    51. Al Janabi, Mazin A. M., 2009. "Asset Market Liquidity Risk Management: A Generalized Theoretical Modeling Approach for Trading and Fund Management Portfolios," MPRA Paper 19498, University Library of Munich, Germany.
    52. Simon Fritzsch & Maike Timphus & Gregor Weiss, 2021. "Marginals Versus Copulas: Which Account For More Model Risk In Multivariate Risk Forecasting?," Papers 2109.10946, arXiv.org.

  29. Jón Daníelsson & Bjørn N. Jorgensen & Casper G. de Vries & Xiaogang Yang, 2001. "Optimal Portfolio Allocation under a Probabilistic Risk Constraint and the Incentives for Financial Innovation," Tinbergen Institute Discussion Papers 01-069/2, Tinbergen Institute.

    Cited by:

    1. Phelim Boyle & Weidong Tian, 2007. "Portfolio Management With Constraints," Mathematical Finance, Wiley Blackwell, vol. 17(3), pages 319-343, July.
    2. Daníelsson, Jón & Jorgensen, Bjørn N. & Samorodnitsky, Gennady & Sarma, Mandira & de Vries, Casper G., 2013. "Fat tails, VaR and subadditivity," Journal of Econometrics, Elsevier, vol. 172(2), pages 283-291.

  30. Danielsson, Jon & Shin, Hyun Song & Zigrand, Jean-Pierre, 2001. "Asset price dynamics with value-at-risk constrained traders," LSE Research Online Documents on Economics 119092, London School of Economics and Political Science, LSE Library.

    Cited by:

    1. Segoviano, Miguel A., 2006. "Consistent information multivariate density optimizing methodology," LSE Research Online Documents on Economics 24511, London School of Economics and Political Science, LSE Library.
    2. Marco Sorge, 2004. "Stress-testing financial systems: an overview of current methodologies," BIS Working Papers 165, Bank for International Settlements.
    3. Segoviano, Miguel A., 2006. "Conditional probability of default methodology," LSE Research Online Documents on Economics 24512, London School of Economics and Political Science, LSE Library.
    4. Laurent Clerc & Françoise Drumetz & François Haas, 2002. "The influence of structural changes on market functioning and its implications for monetary policy: a focus on the euro area," BIS Papers chapters, in: Bank for International Settlements (ed.), Market functioning and central bank policy, volume 12, pages 43-64, Bank for International Settlements.
    5. Marvin Barth & Eli Remolona & Philip Wooldridge, 2002. "Changes in market functioning and central bank policy: an overview of the issues," BIS Papers chapters, in: Bank for International Settlements (ed.), Market functioning and central bank policy, volume 12, pages 1-24, Bank for International Settlements.
    6. Leippold, Markus & Trojani, Fabio & Vanini, Paolo, 2006. "Equilibrium impact of value-at-risk regulation," Journal of Economic Dynamics and Control, Elsevier, vol. 30(8), pages 1277-1313, August.
    7. Sorge, Marco & Virolainen, Kimmo, 2006. "A comparative analysis of macro stress-testing methodologies with application to Finland," Journal of Financial Stability, Elsevier, vol. 2(2), pages 113-151, June.
    8. Miguel Segoviano, 2006. "Conditional Probabilty of Default Methodolgy," FMG Discussion Papers dp558, Financial Markets Group.

  31. Jón Daníelsson & Bjørn N. Jorgensen & Casper G. de Vries, 2001. "Incentives for Effective Risk Management," Tinbergen Institute Discussion Papers 01-094/2, Tinbergen Institute.

    Cited by:

    1. Jane E. Ihrig & Edward Kim & Cindy M. Vojtech & Gretchen C. Weinbach, 2019. "How Have Banks Been Managing the Composition of High-Quality Liquid Assets?," Review, Federal Reserve Bank of St. Louis, vol. 101(3).
    2. Grzegorz Haᴌaj & Christoffer Kok, 2015. "Modelling the emergence of the interbank networks," Quantitative Finance, Taylor & Francis Journals, vol. 15(4), pages 653-671, April.
    3. Szego, Giorgio, 2002. "Measures of risk," Journal of Banking & Finance, Elsevier, vol. 26(7), pages 1253-1272, July.
    4. Christophe Perignon & D. Smith, 2009. "The Level and Quality of Value-at-Risk Disclosure by Commercial Banks," Post-Print hal-00496102, HAL.
    5. Pantano, Eleonora & Iazzolino, Gianpaolo & Migliano, Giuseppe, 2013. "Obsolescence risk in advanced technologies for retailing: A management perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 20(2), pages 225-233.
    6. Pierre Jinghong Liang & Lin Nan, 2014. "Endogenous Precision of Performance Measures and Limited Managerial Attention," European Accounting Review, Taylor & Francis Journals, vol. 23(4), pages 693-727, December.
    7. Born Patricia & Lin Hong-Jen & Wen Min-Ming & Yang Charles C., 2009. "The Dynamic Interactions between Risk Management, Capital Management, and Financial Management in the U.S. Property/Liability Insurance Industry," Asia-Pacific Journal of Risk and Insurance, De Gruyter, vol. 4(1), pages 1-21, November.
    8. Laurent Fresard & C. Pérignon & A. Wilhelmsson, 2010. "The pernicious effects of contaminated data in risk management," Post-Print hal-00554131, HAL.
    9. Darius Palia & Robert Porter, 2003. "Contemporary Issues in Regulatory Risk Management of Commercial Banks," Financial Markets, Institutions & Instruments, John Wiley & Sons, vol. 12(4), pages 223-256, September.
    10. Soumya Ranjan Sethi & Dushyant Ashok Mahadik & Rajkiran V. Bilolikar, 2024. "Exploring Trends and Advancements in Financial Distress Prediction Research: A Bibliometric Study," International Journal of Economics and Financial Issues, Econjournals, vol. 14(1), pages 164-179, January.
    11. Tsionas, Mike G. & Mamatzakis, Emmanuel & Ongena, Steven, 2020. "Does risk aversion affect bank output loss? The case of the Eurozone," European Journal of Operational Research, Elsevier, vol. 282(3), pages 1127-1145.
    12. Yung-Ho Chiu & Chyanlong Jan & Da-Bai Shen & Pen-Chun Wang, 2008. "Efficiency and capital adequacy in Taiwan banking: BCC and super-DEA estimation," The Service Industries Journal, Taylor & Francis Journals, vol. 28(4), pages 479-496, May.
    13. Hałaj, Grzegorz, 2016. "Dynamic balance sheet model with liquidity risk," Working Paper Series 1896, European Central Bank.
    14. Keppo, Jussi & Kofman, Leonard & Meng, Xu, 2010. "Unintended consequences of the market risk requirement in banking regulation," Journal of Economic Dynamics and Control, Elsevier, vol. 34(10), pages 2192-2214, October.
    15. Norvald Instefjord & Kouji Sasaki, 2007. "Proprietary trading losses in banks: do banks invest sufficiently in control?," Annals of Finance, Springer, vol. 3(3), pages 329-350, July.
    16. Claußen, Arndt & Rösch, Daniel & Schmelzle, Martin, 2019. "Hedging parameter risk," Journal of Banking & Finance, Elsevier, vol. 100(C), pages 111-121.

  32. Zigrand, Jean-Pierre & Danielsson, Jon, 2001. "What happens when you regulate risk?: evidence from a simple equilibrium model," LSE Research Online Documents on Economics 25069, London School of Economics and Political Science, LSE Library.

    Cited by:

    1. Wagner, Wolf & Marsh, Ian W., 2006. "Credit risk transfer and financial sector stability," Journal of Financial Stability, Elsevier, vol. 2(2), pages 173-193, June.
    2. Bernd Hofmann, 2005. "Procyclicality: The Macroeconomic Impact of Risk-Based Capital Requirements," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 19(2), pages 179-200, August.
    3. Dimitri Vayanos, 2004. "Flight to Quality, Flight to Liquidity, and the Pricing of Risk," NBER Working Papers 10327, National Bureau of Economic Research, Inc.
    4. Danielsson, Jon & Shin, Hyun Song & Zigrand, Jean-Pierre, 2004. "The impact of risk regulation on price dynamics," LSE Research Online Documents on Economics 16628, London School of Economics and Political Science, LSE Library.
    5. Danielsson, Jon & Taylor, Ashley & Zigrand, Jean-Pierre, 2005. "Highwaymen or heroes: Should hedge funds be regulated?: A survey," Journal of Financial Stability, Elsevier, vol. 1(4), pages 522-543, October.
    6. Kero, Afroditi, 2013. "Banks’ risk taking, financial innovation and macroeconomic risk," The Quarterly Review of Economics and Finance, Elsevier, vol. 53(2), pages 112-124.
    7. Lakshithe Wagalath, 2016. "Feedback effects and endogenous risk in financial markets," Finance, Presses universitaires de Grenoble, vol. 37(2), pages 39-74.
    8. Danielsson, Jon & Zigrand, Jean-Pierre, 2006. "On time-scaling of risk and the square-root-of-time rule," Journal of Banking & Finance, Elsevier, vol. 30(10), pages 2701-2713, October.
    9. Cornelis A. Los & Rossitsa M. Yalamova, 2004. "Multi-Fractal Spectral Analysis of the 1987 Stock Market Crash," Finance 0409050, University Library of Munich, Germany.
    10. Edgardo Barandiarán, 2003. "El Prestamista de Última Instancia en la Nueva Industria Bancaria," Latin American Journal of Economics-formerly Cuadernos de Economía, Instituto de Economía. Pontificia Universidad Católica de Chile., vol. 40(120), pages 337-358.
    11. Danielsson, Jon, 2002. "The emperor has no clothes: Limits to risk modelling," Journal of Banking & Finance, Elsevier, vol. 26(7), pages 1273-1296, July.
    12. Griffith-Jones, Stephany & Segoviano, Miguel Angel & Spratt, Stephen, 2004. "Basel II: developing countries and portfolio diversification," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), August.
    13. Liu, Xiangbo & Qiu, Zhigang & Xiong, Yan, 2013. "VaR constrained asset pricing with relative performance," Economics Letters, Elsevier, vol. 121(2), pages 174-178.
    14. Stephany Griffith-Jones & Stephen Spratt, 2003. "Basel II and Developing Countries: Diversification and Portfolio Effects," FMG Discussion Papers dp437, Financial Markets Group.
    15. Griffith-Jones, Stephany & Segoviano, Miguel Angel & Spratt, Stephen, 2003. "Basel II and developing countries: diversification and portfolio effects," LSE Research Online Documents on Economics 24824, London School of Economics and Political Science, LSE Library.
    16. Bühler, Wolfgang & Koziol, Christian, 2004. "Banking Regulation and Financial Accelerators: A One-Period Model with Unlimited Liability," Discussion Paper Series of SFB/TR 15 Governance and the Efficiency of Economic Systems 17, Free University of Berlin, Humboldt University of Berlin, University of Bonn, University of Mannheim, University of Munich.

  33. Jon Danielsson, 2000. "The Emperor has no Clothes: Limits to Risk Modelling," FMG Special Papers sp126, Financial Markets Group.

    Cited by:

    1. Eufinger, Christian & Gill, Andrej, 2012. "Basel III and CEO compensation: a new regulation attempt after the crisis," VfS Annual Conference 2012 (Goettingen): New Approaches and Challenges for the Labor Market of the 21st Century 62056, Verein für Socialpolitik / German Economic Association.
    2. Stavros Degiannakis & Pamela Dent & Christos Floros, 2014. "A Monte Carlo Simulation Approach to Forecasting Multi-period Value-at-Risk and Expected Shortfall Using the FIGARCH-skT Specification," Manchester School, University of Manchester, vol. 82(1), pages 71-102, January.
    3. Adrián F. Rossignolo, 2021. "The New Standardised Approach as a Credible Fallback," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 16(TNEA), pages 1-27, Septiembr.
    4. Cho, Haeran & Korkas, Karolos K., 2022. "High-dimensional GARCH process segmentation with an application to Value-at-Risk," Econometrics and Statistics, Elsevier, vol. 23(C), pages 187-203.
    5. Eufinger, Christian & Gill, Andrej, 2013. "Basel III and CEO compensation in banks: Pay structures as a regulatory signal," SAFE Working Paper Series 9, Leibniz Institute for Financial Research SAFE.
    6. Marco Rocco, 2011. "Extreme value theory for finance: a survey," Questioni di Economia e Finanza (Occasional Papers) 99, Bank of Italy, Economic Research and International Relations Area.
    7. Charilaos Mertzanis, 2013. "Risk Management Challenges after the Financial Crisis," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 42(3), pages 285-320, November.
    8. Christina Bui, 2018. "Bank Regulation and Financial Stability," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 5-2018, January-A.
    9. Orlowski, Lucjan T., 2012. "Financial crisis and extreme market risks: Evidence from Europe," Review of Financial Economics, Elsevier, vol. 21(3), pages 120-130.
    10. Marco Pagano & Sam Langfield & Viral V. Acharya & Arnoud Boot & Markus K. Brunnermeier & Claudia Buch & Martin F. Hellwig & André Sapir & Ieke van den Burg, 2014. "Is Europe Overbanked?," Report of the Advisory Scientific Committee 4, European Systemic Risk Board.
    11. Danielsson, Jon & James, Kevin R. & Valenzuela, Marcela & Zer, Ilknur, 2016. "Model risk of risk models," LSE Research Online Documents on Economics 66365, London School of Economics and Political Science, LSE Library.
    12. Pagano, Marco, 2014. "Lessons from the European financial crisis," CFS Working Paper Series 486, Center for Financial Studies (CFS).
    13. Danielsson, Jon & James, Kevin R. & Valenzuela, Marcela & Zer, Ilknur, 2015. "Can we prove a bank guilty of creating systemic risk? A minority report," LSE Research Online Documents on Economics 119462, London School of Economics and Political Science, LSE Library.
    14. Cevik, Emrah Ismail & Caliskan Terzioglu, Hande & Kilic, Yunus & Bugan, Mehmet Fatih & Dibooglu, Sel, 2024. "Interconnectedness and systemic risk: Evidence from global stock markets," Research in International Business and Finance, Elsevier, vol. 69(C).
    15. Marcel Bräutigam & Michel Dacorogna & Marie Kratz, 2018. "Predicting risk with risk measures : an empirical study," Working Papers hal-01791026, HAL.
    16. Giot, Pierre & Laurent, Sebastien, 2004. "Modelling daily Value-at-Risk using realized volatility and ARCH type models," Journal of Empirical Finance, Elsevier, vol. 11(3), pages 379-398, June.
    17. Saeed Shaker-Akhtekhane & Solmaz Poorabbas, 2023. "Value-at-Risk Estimation Using an Interpolated Distribution of Financial Returns Series," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 13(1), pages 1-6.
    18. Frank Milne, 2008. "Credit Crises, Risk Management Systems and Liquidity Modelling," Working Papers 1, John Deutsch Institute for the Study of Economic Policy.
    19. Dai, Yun-Shi & Dai, Peng-Fei & Zhou, Wei-Xing, 2023. "Tail dependence structure and extreme risk spillover effects between the international agricultural futures and spot markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 88(C).
    20. Isac BORS, 2011. "The Issue of the Financial Regulations and the Crisis – Romanian Case," Risk in Contemporary Economy, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, pages 326-330.
    21. Chen, Yu & Wang, Zhicheng & Zhang, Zhengjun, 2019. "Mark to market value at risk," Journal of Econometrics, Elsevier, vol. 208(1), pages 299-321.
    22. Gunnar Wahlström, 2013. "Bank Risk Measurement: A Critical Evaluation at a European Bank," Accounting and Finance Research, Sciedu Press, vol. 2(3), pages 1-24, August.
    23. Kurt Hess & Arthur Grimes & Mark Holmes, 2009. "Credit Losses in Australasian Banking," The Economic Record, The Economic Society of Australia, vol. 85(270), pages 331-343, September.
    24. Adrián F. Rossignolo & Víctor A. Álvarez, 2015. "Has the Basel Committee Got it Right? Evidence from Commodity Positions in Turmoil," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 10(1), pages 1-38, Enero-Jun.
    25. Michael Michaelides & Niraj Poudyal, 2024. "Good risk measures, bad statistical assumptions, ugly risk forecasts," The Financial Review, Eastern Finance Association, vol. 59(2), pages 519-543, May.
    26. Alessandro Ronaglia, 2012. "Note bibliografiche: Gallino L. (a cura di): La lotta di classe dopo la lotta di classe," Moneta e Credito, Economia civile, vol. 65(260), pages 335-339.
    27. Slim, Skander & Dahmene, Meriam & Boughrara, Adel, 2020. "How informative are variance risk premium and implied volatility for Value-at-Risk prediction? International evidence," The Quarterly Review of Economics and Finance, Elsevier, vol. 76(C), pages 22-37.
    28. Radu Tunaru, 2015. "Model Risk in Financial Markets:From Financial Engineering to Risk Management," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 9524, October.
    29. Daníelsson, Jón, 2008. "Blame the models," Journal of Financial Stability, Elsevier, vol. 4(4), pages 321-328, December.
    30. Jean-Paul Laurent & Hassan Omidi Firouzi, 2022. "Market Risk and Volatility Weighted Historical Simulation After Basel III," Working Papers hal-03679434, HAL.
    31. Marco Migueis, 2017. "Forward-looking and Incentive-compatible Operational Risk Capital Framework," Finance and Economics Discussion Series 2017-087, Board of Governors of the Federal Reserve System (U.S.).
    32. Alessandro Roncaglia, 2012. "Keynesian uncertainty and the shaky foundations of statistical risk assessment models," PSL Quarterly Review, Economia civile, vol. 65(263), pages 437-454.
    33. Antje Berndt & Peter Ritchken & Zhiqiang Sun, 2010. "On Correlation and Default Clustering in Credit Markets," The Review of Financial Studies, Society for Financial Studies, vol. 23(7), pages 2680-2729, July.
    34. Anjum, Hassan & Malik, Farooq, 2020. "Forecasting risk in the US Dollar exchange rate under volatility shifts," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    35. Gregory, Allan W. & Reeves, Jonathan J., 2008. "Interpreting Value at Risk (VaR) forecasts," Economic Systems, Elsevier, vol. 32(2), pages 167-176, June.
    36. O’Brien, James & Szerszeń, Paweł J., 2017. "An evaluation of bank measures for market risk before, during and after the financial crisis," Journal of Banking & Finance, Elsevier, vol. 80(C), pages 215-234.
    37. Filippo Curti & Ibrahim Ergen & Minh Le & Marco Migueis & Rob T. Stewart, 2016. "Benchmarking Operational Risk Models," Finance and Economics Discussion Series 2016-070, Board of Governors of the Federal Reserve System (U.S.).
    38. Abad, Pilar & Benito, Sonia, 2013. "A detailed comparison of value at risk estimates," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 94(C), pages 258-276.
    39. Edgardo Barandiarán, 2003. "El Prestamista de Última Instancia en la Nueva Industria Bancaria," Latin American Journal of Economics-formerly Cuadernos de Economía, Instituto de Economía. Pontificia Universidad Católica de Chile., vol. 40(120), pages 337-358.
    40. Cucinelli, Doriana & Battista, Maria Luisa Di & Marchese, Malvina & Nieri, Laura, 2018. "Credit risk in European banks: The bright side of the internal ratings based approach," Journal of Banking & Finance, Elsevier, vol. 93(C), pages 213-229.
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    1. Dominique Guegan & Bertrand Hassani & Cédric Naud, 2010. "An efficient threshold choice for operational risk capital computation," Documents de travail du Centre d'Economie de la Sorbonne 10096, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne, revised Nov 2011.
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    6. John Cotter & Francois Longin, 2011. "Margin Requirements with Intraday Dynamics," Working Papers 200519, Geary Institute, University College Dublin.
    7. Pere, Jaakko & Ilmonen, Pauliina & Viitasaari, Lauri, 2024. "On extreme quantile region estimation under heavy-tailed elliptical distributions," Journal of Multivariate Analysis, Elsevier, vol. 202(C).
    8. Pisarenko, V. & Sornette, D., 2006. "New statistic for financial return distributions: Power-law or exponential?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 366(C), pages 387-400.
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    10. Chen, Zhimin & Ibragimov, Rustam, 2019. "One country, two systems? The heavy-tailedness of Chinese A- and H- share markets," Emerging Markets Review, Elsevier, vol. 38(C), pages 115-141.
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    43. Straetmans, Stefan & Chaudhry, Sajid M., 2015. "Tail risk and systemic risk of US and Eurozone financial institutions in the wake of the global financial crisis," Journal of International Money and Finance, Elsevier, vol. 58(C), pages 191-223.
    44. Mainik, Georg & Mitov, Georgi & Rüschendorf, Ludger, 2015. "Portfolio optimization for heavy-tailed assets: Extreme Risk Index vs. Markowitz," Journal of Empirical Finance, Elsevier, vol. 32(C), pages 115-134.
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    1. Torben G. Andersen & Tim Bollerslev & Francis X. Diebold & Paul Labys, 1999. "The Distribution of Exchange Rate Volatility," Center for Financial Institutions Working Papers 99-08, Wharton School Center for Financial Institutions, University of Pennsylvania.
    2. Courtenay, Roger & Clare, Andrew, 2001. "What can we learn about monetary policy transparency from financial market data?," Discussion Paper Series 1: Economic Studies 2001,06, Deutsche Bundesbank.
    3. Rime, Dagfinn & Sarno, Lucio & Sojli, Elvira, 2010. "Exchange rate forecasting, order flow and macroeconomic information," Journal of International Economics, Elsevier, vol. 80(1), pages 72-88, January.
    4. Torben G. Andersen & Tim Bollerslev & Francis X. Diebold & Clara Vega, 2003. "Micro Effects of Macro Announcements: Real-Time Price Discovery in Foreign Exchange," American Economic Review, American Economic Association, vol. 93(1), pages 38-62, March.
    5. BAUWENS, Luc & BEN OMRANE, Walid & RENGIFO, Erick, 2006. "Intra-daily FX optimal portfolio allocation," LIDAM Discussion Papers CORE 2006010, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    6. Chen, Yu-Lun & Gau, Yin-Feng, 2014. "Asymmetric responses of ask and bid quotes to information in the foreign exchange market," Journal of Banking & Finance, Elsevier, vol. 38(C), pages 194-204.
    7. Alain P. Chaboud & Sergey V. Chernenko & Jonathan H. Wright, 2007. "Trading activity and exchange rates in high-frequency EBS data," International Finance Discussion Papers 903, Board of Governors of the Federal Reserve System (U.S.).
    8. Yin-Wong Cheung & Rasmus Fatum & Yohei Yamamoto, 2017. "The Exchange Rate Effects of Macro News after the Global Financial Crisis," GRU Working Paper Series GRU_2017_007, City University of Hong Kong, Department of Economics and Finance, Global Research Unit.
    9. Danielsson, Jon & Saltoglu, Burak, 2003. "Anatomy of a market crash: a market microstructure analysis of the Turkish overnight liquidity crisis," LSE Research Online Documents on Economics 24855, London School of Economics and Political Science, LSE Library.
    10. Liang Ding & Hao Zou & Vittorio Addona, 2012. "Semi‐transparency, dealership market, and foreign exchange market quality," Review of Financial Economics, John Wiley & Sons, vol. 21(1), pages 1-13, January.
    11. john cotter & kevin dowd, 2011. "The tail risks of FX return distributions: a comparison of the returns associated with limit orders and market orders," Papers 1103.5661, arXiv.org.
    12. Kevin Dowd & John Cotter, 2011. "Intra-Day Seasonality in Foreign Market Transactions," Working Papers 200746, Geary Institute, University College Dublin.
    13. Markku Lanne & Timo Vesalay, 2005. "The Effect of a Transaction Tax on Exchange Rate Volatility," Economics Working Papers ECO2005/19, European University Institute.
    14. Cai, Fang & Howorka, Edward & Wongswan, Jon, 2008. "Informational linkages across trading regions: Evidence from foreign exchange markets," Journal of International Money and Finance, Elsevier, vol. 27(8), pages 1215-1243, December.
    15. Chelley-Steeley, Patricia L. & Tsorakidis, Nikos, 2013. "Bid-ask spread dynamics in foreign exchange markets," International Review of Financial Analysis, Elsevier, vol. 29(C), pages 119-131.
    16. Stefanescu, Răzvan & Dumitriu, Ramona, 2020. "Efectul Turn-of-the-Year pe piaţa valutară din România [The Turn-of-the-Year Effect in the Romanian foreign exchange market]," MPRA Paper 99365, University Library of Munich, Germany, revised 30 Mar 2020.
    17. Ranaldo, Angelo, 2009. "Segmentation and time-of-day patterns in foreign exchange markets," Journal of Banking & Finance, Elsevier, vol. 33(12), pages 2199-2206, December.
    18. Ledenyov, Dimitri O. & Ledenyov, Viktor O., 2015. "Wave function method to forecast foreign currencies exchange rates at ultra high frequency electronic trading in foreign currencies exchange markets," MPRA Paper 67470, University Library of Munich, Germany.
    19. Ben Omrane, Walid & Heinen, Andréas, 2010. "Public news announcements and quoting activity in the Euro/Dollar foreign exchange market," Computational Statistics & Data Analysis, Elsevier, vol. 54(11), pages 2419-2431, November.
    20. BAUWENS, Luc & BEN OMRANE, Walid & GIOT, Pierre, 2003. "News announcements, market activity and volatility in the Euro/Dollar foreign exchange market," LIDAM Discussion Papers CORE 2003029, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    21. Kate Phylaktis & Long Chen, 2010. "Asymmetric information, price discovery and macroeconomic announcements in FX market: do top trading banks know more?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 15(3), pages 228-246.
    22. Kathryn M.E. Dominguez & Rasmus Fatum & Pavel Vacek, 2013. "Do Sales of Foreign Exchange Reserves Lead to Currency Appreciation?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 45(5), pages 867-890, August.
    23. Lanne, Markku, 2007. "Forecasting realized exchange rate volatility by decomposition," International Journal of Forecasting, Elsevier, vol. 23(2), pages 307-320.
    24. Dominguez, Kathryn M.E., 2006. "When do central bank interventions influence intra-daily and longer-term exchange rate movements?," Journal of International Money and Finance, Elsevier, vol. 25(7), pages 1051-1071, November.
    25. john cotter & kevin dowd, 2011. "Intra-Day Seasonality in Foreign Exchange Market Transactions," Papers 1103.5664, arXiv.org.
    26. Giot, Pierre & Laurent, Sebastien, 2004. "Modelling daily Value-at-Risk using realized volatility and ARCH type models," Journal of Empirical Finance, Elsevier, vol. 11(3), pages 379-398, June.
    27. Kaul, Aditya & Sapp, Stephen, 2006. "Y2K fears and safe haven trading of the U.S. dollar," Journal of International Money and Finance, Elsevier, vol. 25(5), pages 760-779, August.
    28. Joachim Grammig & Michael Melvin & Christian Schlag, 2005. "Internationally Cross-Listed Stock Prices During Overlapping Trading Hours: Price Discovery and Exchange Rate Effects," Working Paper Series: Finance and Accounting 78, Department of Finance, Goethe University Frankfurt am Main.
    29. Osler, Carol & Savaser, Tanseli, 2011. "Extreme returns: The case of currencies," Journal of Banking & Finance, Elsevier, vol. 35(11), pages 2868-2880, November.
    30. Ben Omrane, Walid & Heinen, Andréas, 2009. "Is there any common knowledge news in the Euro/Dollar market?," International Review of Economics & Finance, Elsevier, vol. 18(4), pages 656-670, October.
    31. McCredie, Bronwyn & Docherty, Paul & Easton, Steve & Uylangco, Katherine, 2014. "The differential impact of monetary policy announcements and explanatory minutes releases on the Australian interest rate futures market," Pacific-Basin Finance Journal, Elsevier, vol. 29(C), pages 261-271.
    32. Phylaktis, Kate & Chen, Long, 2009. "Price discovery in foreign exchange markets: A comparison of indicative and actual transaction prices," Journal of Empirical Finance, Elsevier, vol. 16(4), pages 640-654, September.
    33. Hevér, Judit, 2017. "A likviditás és a permanens árhatás szerepe a portfólióértékelésben [The role of liquidity policy and permanent price impact in portfolio valuation]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(6), pages 594-611.
    34. Fang Cai & Edward Howorka & Jon Wongswan, 2006. "Transmission of volatility and trading activity in the global interdealer foreign exchange market: evidence from electronic broking services (EBS) data," International Finance Discussion Papers 863, Board of Governors of the Federal Reserve System (U.S.).
    35. Carlo Rosa, 2013. "The financial market effect of FOMC minutes," Economic Policy Review, Federal Reserve Bank of New York, issue Dec, pages 67-81.
    36. Yin-Wong Cheung & Menzie D. Chinn & Ian W. Marsh, 2000. "How Do UK-Based Foreign Exchange Dealers Think Their Market Operates?," NBER Working Papers 7524, National Bureau of Economic Research, Inc.
    37. Ingomar Krohn & Vladyslav Sushko & Witit Synsatayakul, 2023. "Foreign investor feedback trading in an emerging financial market," BIS Working Papers 1154, Bank for International Settlements.
    38. Bronwyn McCredie, 2020. "The discrete and differential impact of monetary policy," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 60(3), pages 2919-2937, September.
    39. Ben Omrane, Walid & de Bodt, Eric, 2007. "Using self-organizing maps to adjust for intra-day seasonality," Journal of Banking & Finance, Elsevier, vol. 31(6), pages 1817-1838, June.
    40. Alexis Derviz, 2007. "Modeling Electronic FX Brokerage as a Fast Order-Driven Marketunder Heterogeneous Private Values and Information," Working Papers IES 2007/16, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised May 2007.
    41. Neely, C. J. & Weller, P. A., 2003. "Intraday technical trading in the foreign exchange market," Journal of International Money and Finance, Elsevier, vol. 22(2), pages 223-237, April.
    42. Michael Melvin & Christian Saborowski & Michael Sager & Mark P. Tayor, 2010. "Bank of England Interest Rate Announcements and the Foreign Exchange Market," International Journal of Central Banking, International Journal of Central Banking, vol. 6(3), pages 211-247, September.
    43. Markku Lanne, 2006. "A Mixture Multiplicative Error Model for Realized Volatility," Journal of Financial Econometrics, Oxford University Press, vol. 4(4), pages 594-616.
    44. Carlson, John A. & Lo, Melody, 2006. "One minute in the life of the DM/US$: Public news in an electronic market," Journal of International Money and Finance, Elsevier, vol. 25(7), pages 1090-1102, November.
    45. Bien, Katarzyna & Nolte, Ingmar & Pohlmeier, Winfried, 2006. "Estimating liquidity using information on the multivariate trading process," CoFE Discussion Papers 06/04, University of Konstanz, Center of Finance and Econometrics (CoFE).
    46. Chaboud, Alain P. & Wright, Jonathan H., 2005. "Uncovered interest parity: it works, but not for long," Journal of International Economics, Elsevier, vol. 66(2), pages 349-362, July.
    47. Rasmus Fatum & Michael M. Hutchison & Thomas Wu, 2010. "Asymmetries and state dependence: the impact of macro surprises on intraday exchange rates," Globalization Institute Working Papers 49, Federal Reserve Bank of Dallas.
    48. Angelo Ranaldo & Paul Söderlind, 2007. "Safe Haven Currencies," University of St. Gallen Department of Economics working paper series 2007 2007-22, Department of Economics, University of St. Gallen.
    49. Jón Daníelsson & Richard Payne, 2012. "Liquidity determination in an order-driven market," The European Journal of Finance, Taylor & Francis Journals, vol. 18(9), pages 799-821, October.
    50. Joshua V. Rosenberg & Leah G. Traub, 2006. "Price discovery in the foreign currency futures and spot market," Staff Reports 262, Federal Reserve Bank of New York.
    51. Savaser, Tanseli, 2011. "Exchange rate response to macronews: Through the lens of microstructure," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 21(1), pages 107-126, February.
    52. Ran Xiao, 2019. "Essays on Price Discovery and Volatility Dynamics in Emerging Market Currencies," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 5-2019, January-A.
    53. Shumi Akhtar & Robert Faff & Barry Oliver, 2011. "The asymmetric impact of consumer sentiment announcements on Australian foreign exchange rates," Australian Journal of Management, Australian School of Business, vol. 36(3), pages 387-403, December.
    54. Walid Ben Omrane & Christian M. Hafner, 2009. "Information Spillover, Volatility and the Currency Markets for the Binary Choice Model," International Econometric Review (IER), Econometric Research Association, vol. 1(1), pages 50-62, April.
    55. Poskitt, Russell, 2005. "Bid/ask spreads in the foreign exchange market: An alternative interpretation," Pacific-Basin Finance Journal, Elsevier, vol. 13(5), pages 562-583, November.
    56. Osler, Carol L., 2005. "Stop-loss orders and price cascades in currency markets," Journal of International Money and Finance, Elsevier, vol. 24(2), pages 219-241, March.
    57. Michael King & Carol Osler & Dagfinn Rime, 2012. "The Market Microstructure Approach to Foreign Exchange: Looking Back and Looking Forward," Working Papers 54, Brandeis University, Department of Economics and International Business School.
    58. Menkhoff, Lukas & Schmeling, Maik, 2006. "Local Information in Foreign Exchange Markets," Hannover Economic Papers (HEP) dp-331, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    59. Lo, Melody & Lee, Cheng-Few, 2006. "A reexamination of the market efficiency hypothesis: Evidence from an electronic intra-day, inter-dealer FX market," The Quarterly Review of Economics and Finance, Elsevier, vol. 46(4), pages 565-585, September.
    60. Carol L. Osler, 2000. "Support for resistance: technical analysis and intraday exchange rates," Economic Policy Review, Federal Reserve Bank of New York, issue Jul, pages 53-68.
    61. Walid Omrane & Hervé Oppens, 2006. "The performance analysis of chart patterns: Monte Carlo simulation and evidence from the euro/dollar foreign exchange market," Empirical Economics, Springer, vol. 30(4), pages 947-971, January.
    62. Carlo Rosa, 2016. "Fedspeak: Who Moves U.S. Asset Prices?," International Journal of Central Banking, International Journal of Central Banking, vol. 12(4), pages 223-261, December.
    63. Bauwens, Luc & Ben Omrane, Walid & Rengifo, Erick, 2010. "Intradaily dynamic portfolio selection," Computational Statistics & Data Analysis, Elsevier, vol. 54(11), pages 2400-2418, November.
    64. Scalia, Antonio, 2008. "Is foreign exchange intervention effective? Some microanalytical evidence from the Czech Republic," Journal of International Money and Finance, Elsevier, vol. 27(4), pages 529-546, June.
    65. Andrew Clare & Roger Courtenay, 2001. "Assessing the impact of macroeconomic news announcements on securities prices under different monetary policy regimes," Bank of England working papers 125, Bank of England.
    66. BEN OMRANE, Walid & VAN OPPEN, Hervé, 2004. "The predictive success and profitability of chart patterns in the Euro/Dollar foreign exchange market," LIDAM Discussion Papers CORE 2004035, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    67. Kaul, Aditya & Sapp, Stephen, 2009. "Trading activity, dealer concentration and foreign exchange market quality," Journal of Banking & Finance, Elsevier, vol. 33(11), pages 2122-2131, November.
    68. Fatum, Rasmus & Pedersen, Jesper & Sørensen, Peter Norman, 2013. "The intraday effects of central bank intervention on exchange rate spreads," Journal of International Money and Finance, Elsevier, vol. 33(C), pages 103-117.
    69. Seung Chan Ahn & Michael Melvin, 2007. "Exchange Rates and FOMC Days," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(5), pages 1245-1266, August.
    70. Jonathan Kearns & Phil Manners, 2006. "The Impact of Monetary Policy on the Exchange Rate: A Study Using Intraday Data," International Journal of Central Banking, International Journal of Central Banking, vol. 2(4), December.
    71. Markku Lanne, 2006. "Forecasting Realized Volatility by Decomposition," Economics Working Papers ECO2006/20, European University Institute.
    72. Saida Gtifa & Naoufel LIOUANE, 2013. "Bid-ask spread, order size and volatility in the foreign exchange market: an empirical investigation," E3 Journal of Business Management and Economics., E3 Journals, vol. 4(12), pages 267-275.
    73. Lo, Ingrid & Sapp, Stephen G., 2008. "The submission of limit orders or market orders: The role of timing and information in the Reuters D2000-2 system," Journal of International Money and Finance, Elsevier, vol. 27(7), pages 1056-1073, November.

  36. Danielsson, Jon & Vries, Casper, 1998. "Beyond the sample: extreme quantile and probability estimation," LSE Research Online Documents on Economics 119141, London School of Economics and Political Science, LSE Library.

    Cited by:

    1. Odening, Martin & Hinrichs, Jan, 2003. "Die Quantifizierung von Marktrisiken in der Tierproduktion mittels Value-at-Risk und Extreme-Value-Theory," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 52(02), pages 1-11.
    2. Cotter, John, 2001. "Margin exceedences for European stock index futures using extreme value theory," Journal of Banking & Finance, Elsevier, vol. 25(8), pages 1475-1502, August.
    3. Robert F. Engle & Simone Manganelli, 2004. "CAViaR: Conditional Autoregressive Value at Risk by Regression Quantiles," Journal of Business & Economic Statistics, American Statistical Association, vol. 22, pages 367-381, October.
    4. Marcia M. A. Schafgans, 2000. "On Intercept Estimation in the Sample Selection Model," Econometric Society World Congress 2000 Contributed Papers 0730, Econometric Society.
    5. Tsourti, Zoi & Panaretos, John, 2003. "Extreme Value Index Estimators and Smoothing Alternatives: A Critical Review," MPRA Paper 6390, University Library of Munich, Germany.
    6. Odening, Martin & Hinrichs, Jan, 2002. "Assessment Of Market Risk In Hog Production Using Value-At-Risk And Extreme Value Theory," 2002 Annual meeting, July 28-31, Long Beach, CA 19907, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    7. Manfred Gilli & Evis këllezi, 2006. "An Application of Extreme Value Theory for Measuring Financial Risk," Computational Economics, Springer;Society for Computational Economics, vol. 27(2), pages 207-228, May.
    8. John Cotter, 2004. "Downside risk for European equity markets," Applied Financial Economics, Taylor & Francis Journals, vol. 14(10), pages 707-716.
    9. Carol Alexander & Emese Lazar & Silvia Stanescu, 2011. "Analytic Approximations to GARCH Aggregated Returns Distributions with Applications to VaR and ETL," ICMA Centre Discussion Papers in Finance icma-dp2011-08, Henley Business School, University of Reading.
    10. Francis X. Diebold & Til Schuermann & John D. Stroughair, 1998. "Pitfalls and Opportunities in the Use of Extreme Value Theory in Risk Management," New York University, Leonard N. Stern School Finance Department Working Paper Seires 98-081, New York University, Leonard N. Stern School of Business-.
    11. Marius Galabe Sampid & Haslifah M Hasim & Hongsheng Dai, 2018. "Refining value-at-risk estimates using a Bayesian Markov-switching GJR-GARCH copula-EVT model," PLOS ONE, Public Library of Science, vol. 13(6), pages 1-33, June.
    12. Lucas, André & Straetmans, Stefan & Klaassen, Pieter, 1999. "Tail behavior of credit loss distributions," Serie Research Memoranda 0060, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    13. Robert F. Engle & Simone Manganelli, 1999. "CAViaR: Conditional Value at Risk by Quantile Regression," NBER Working Papers 7341, National Bureau of Economic Research, Inc.
    14. Niklas Wagner & Terry Marsh, 2004. "Tail index estimation in small smaples Simulation results for independent and ARCH-type financial return models," Statistical Papers, Springer, vol. 45(4), pages 545-561, October.
    15. Guang Bi & David E. Giles, 2007. "An Application of Extreme Value Theory to U.S. Movie Box Office Returns," Econometrics Working Papers 0705, Department of Economics, University of Victoria.
    16. Tsourti, Zoi & Panaretos, John, 2001. "Extreme Value Index Estimators and Smoothing Alternatives: Review and Simulation Comparison," MPRA Paper 6384, University Library of Munich, Germany.
    17. Tsourti, Zoi & Panaretos, John, 2004. "Extreme-value analysis of teletraffic data," Computational Statistics & Data Analysis, Elsevier, vol. 45(1), pages 85-103, February.
    18. Mendes, Beatriz Vaz de Melo & Lopes, Hedibert Freitas, 2004. "Data driven estimates for mixtures," Computational Statistics & Data Analysis, Elsevier, vol. 47(3), pages 583-598, October.
    19. Sebastian Schich, 2004. "European stock market dependencies when price changes are unusually large," Applied Financial Economics, Taylor & Francis Journals, vol. 14(3), pages 165-177.
    20. Engle, Robert F. & Manganelli, Simone, 2001. "Value at risk models in finance," Working Paper Series 75, European Central Bank.
    21. Lazar, Emese & Pan, Jingqi & Wang, Shixuan, 2024. "On the estimation of Value-at-Risk and Expected Shortfall at extreme levels," Journal of Commodity Markets, Elsevier, vol. 34(C).
    22. Carmela E. Quintos & Zhenhong Fan & Peter C.B. Phillips, 2000. "Structural Change in Tail Behavior and the Asian Financial Crisis," Cowles Foundation Discussion Papers 1283, Cowles Foundation for Research in Economics, Yale University.
    23. Brito, Margarida & Freitas, Ana Cristina Moreira, 2010. "Consistent estimation of the tail index for dependent data," Statistics & Probability Letters, Elsevier, vol. 80(23-24), pages 1835-1843, December.
    24. Ho, Lan-Chih & Burridge, Peter & Cadle, John & Theobald, Michael, 2000. "Value-at-risk: Applying the extreme value approach to Asian markets in the recent financial turmoil," Pacific-Basin Finance Journal, Elsevier, vol. 8(2), pages 249-275, May.
    25. Kilic, Ekrem, 2006. "Violation duration as a better way of VaR model evaluation : evidence from Turkish market portfolio," MPRA Paper 5610, University Library of Munich, Germany.

  37. Silvia Caserta & Jon Danielsson & Casper G. de Vries, 1998. "Abnormal Returns, Risk, and Options in Large Data Sets," Tinbergen Institute Discussion Papers 98-107/2, Tinbergen Institute.

    Cited by:

    1. Hans Byström, 2003. "Estimating Default Probabilities Using Stock Prices: The Swedish Banking Sector During the 1990s Banking Crisis," Research Paper Series 92, Quantitative Finance Research Centre, University of Technology, Sydney.
    2. Danielsson, Jon, 2002. "The emperor has no clothes: Limits to risk modelling," Journal of Banking & Finance, Elsevier, vol. 26(7), pages 1273-1296, July.

  38. Jon Danielsson, 1997. "Extreme Returns, Tail Estimation, and Value-at-Risk," FMG Discussion Papers dp273, Financial Markets Group.

    Cited by:

    1. Straetmans, Stefan, 2000. "Extremal spillovers in financial markets," Serie Research Memoranda 0013, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    2. Peter F. Christoffersen & Francis X. Diebold, 1998. "How Relevant is Volatility Forecasting for Financial Risk Management?," NBER Working Papers 6844, National Bureau of Economic Research, Inc.
    3. Agata Gemzik-Salwach, 2012. "The Use Of A Value At Risk Measure For The Analysis Of Bank Interest Margins," "e-Finanse", University of Information Technology and Management, Institute of Financial Research and Analysis, vol. 8(4), pages 15-29, February.
    4. Xiongwei Ju & Neil D. Pearson, 1998. "Using Value-at-Risk to Control Risk Taking: How Wrong Can you Be?," Finance 9810002, University Library of Munich, Germany.

  39. Danielsson, Jon & Vries, Casper, 1997. "Value-at-risk and extreme returns," LSE Research Online Documents on Economics 119166, London School of Economics and Political Science, LSE Library.

    Cited by:

    1. Luis Fernando Melo Velandia & Oscar Reinaldo Becerra Camargo, 2005. "Medidas De Riesgo, Caracteristicas Y Técnicas De Medición: Una Aplicación Del Var Y El Es A La Tasa Interbancaria De Colombia," Borradores de Economia 3198, Banco de la Republica.
    2. Ana-Maria Gavril, 2009. "Exchange Rate Risk: Heads or Tails," Advances in Economic and Financial Research - DOFIN Working Paper Series 35, Bucharest University of Economics, Center for Advanced Research in Finance and Banking - CARFIB.
    3. Cotter, John, 2004. "Varying the VaR for Unconditional and Conditional Environments," MPRA Paper 3483, University Library of Munich, Germany.
    4. Odening, Martin & Hinrichs, Jan, 2003. "Die Quantifizierung von Marktrisiken in der Tierproduktion mittels Value-at-Risk und Extreme-Value-Theory," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 52(02), pages 1-11.
    5. Saiful Izzuan Hussain & Steven Li, 2018. "The dynamic dependence between stock markets in the greater China economic area: a study based on extreme values and copulas," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 32(2), pages 207-233, May.
    6. Jian Zhou & Yanmin Gao, 2012. "Tail Dependence in International Real Estate Securities Markets," The Journal of Real Estate Finance and Economics, Springer, vol. 45(1), pages 128-151, June.
    7. Miguel T. Delfiner & Matías A. Gutiérrez Girault, 2002. "Aplicación de la teoría de valores extremos al gerenciamiento del riesgo," CEMA Working Papers: Serie Documentos de Trabajo. 217, Universidad del CEMA.
    8. Tobias Adrian & Markus K. Brunnermeier, 2008. "CoVaR," Staff Reports 348, Federal Reserve Bank of New York.
      • Tobias Adrian & Markus K. Brunnermeier, 2016. "CoVaR," American Economic Review, American Economic Association, vol. 106(7), pages 1705-1741, July.
      • Tobias Adrian & Markus K. Brunnermeier, 2011. "CoVaR," NBER Working Papers 17454, National Bureau of Economic Research, Inc.
    9. Antonio Díaz & Carlos Esparcia, 2021. "Dynamic optimal portfolio choice under time-varying risk aversion," International Economics, CEPII research center, issue 166, pages 1-22.
    10. Li, Fuchun & Perez-Saiz, Hector, 2018. "Measuring systemic risk across financial market infrastructures," Journal of Financial Stability, Elsevier, vol. 34(C), pages 1-11.
    11. Rossignolo, Adrián F. & Fethi, Meryem Duygun & Shaban, Mohamed, 2013. "Market crises and Basel capital requirements: Could Basel III have been different? Evidence from Portugal, Ireland, Greece and Spain (PIGS)," Journal of Banking & Finance, Elsevier, vol. 37(5), pages 1323-1339.
    12. Faias, José Afonso, 2023. "Predicting the equity risk premium using the smooth cross-sectional tail risk: The importance of correlation," Journal of Financial Markets, Elsevier, vol. 63(C).
    13. Kole, Erik & Koedijk, Kees & Verbeek, Marno, 2007. "Selecting copulas for risk management," Journal of Banking & Finance, Elsevier, vol. 31(8), pages 2405-2423, August.
    14. Michel Beine & Antonio Cosma & Robert Vermeulen, 2008. "The Dark Side of Global Integration: Increasing Tail Dependence," DEM Discussion Paper Series 08-03, Department of Economics at the University of Luxembourg.
    15. Benjamin R. Auer & Benjamin Mögel, 2016. "How Accurate are Modern Value-at-Risk Estimators Derived from Extreme Value Theory?," CESifo Working Paper Series 6288, CESifo.
    16. Brunnermeier, Markus K. & Oehmke, Martin, 2013. "Bubbles, Financial Crises, and Systemic Risk," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, volume 2, chapter 0, pages 1221-1288, Elsevier.
    17. Herrera, R. & Clements, A.E., 2018. "Point process models for extreme returns: Harnessing implied volatility," Journal of Banking & Finance, Elsevier, vol. 88(C), pages 161-175.
    18. Iglesias, Emma M. & Linton, Oliver, 2009. "Estimation of tail thickness parameters from GJR-GARCH models," UC3M Working papers. Economics we094726, Universidad Carlos III de Madrid. Departamento de Economía.
    19. GIOT, Pierre & LAURENT, Sébastien, 2003. "Value-at-Risk for long and short trading positions," LIDAM Reprints CORE 1707, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    20. Giacomo Bormetti & Maria Elena De Giuli & Danilo Delpini & Claudia Tarantola, 2008. "Bayesian Analysis of Value-at-Risk with Product Partition Models," Papers 0809.0241, arXiv.org, revised May 2009.
    21. Tjeerd de Vries, 2021. "A Tale of Two Tails: A Model-free Approach to Estimating Disaster Risk Premia and Testing Asset Pricing Models," Papers 2105.08208, arXiv.org, revised Oct 2023.
    22. Saadi, Samir & Rahman, Abdul, 2008. "Evidence of non-stationary bias in scaling by square root of time: Implications for Value-at-Risk," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 18(3), pages 272-289, July.
    23. Halkos, George & Tsirivis, Apostolos, 2019. "Using Value-at-Risk for effective energy portfolio risk management," MPRA Paper 91674, University Library of Munich, Germany.
    24. Şener, Emrah & Baronyan, Sayad & Ali Mengütürk, Levent, 2012. "Ranking the predictive performances of value-at-risk estimation methods," International Journal of Forecasting, Elsevier, vol. 28(4), pages 849-873.
    25. Polanski, Arnold & Stoja, Evarist, 2017. "Forecasting multidimensional tail risk at short and long horizons," International Journal of Forecasting, Elsevier, vol. 33(4), pages 958-969.
    26. Hussain, Saiful Izzuan & Li, Steven, 2018. "The dependence structure between Chinese and other major stock markets using extreme values and copulas," International Review of Economics & Finance, Elsevier, vol. 56(C), pages 421-437.
    27. Fuchun Li & Héctor Pérez Saiz, 2016. "Measuring Systemic Risk Across Financial Market Infrastructures," Staff Working Papers 16-10, Bank of Canada.
    28. de Jesús, Raúl & Ortiz, Edgar & Cabello, Alejandra, 2013. "Long run peso/dollar exchange rates and extreme value behavior: Value at Risk modeling," The North American Journal of Economics and Finance, Elsevier, vol. 24(C), pages 139-152.
    29. Singh, Abhay K. & Allen, David E. & Robert, Powell J., 2013. "Extreme market risk and extreme value theory," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 94(C), pages 310-328.
    30. Adam Misiorek & Rafal Weron, 2010. "Heavy-tailed distributions in VaR calculations," HSC Research Reports HSC/10/05, Hugo Steinhaus Center, Wroclaw University of Science and Technology.
    31. GIOT, Pierre, 2000. "Intraday value-at-risk," LIDAM Discussion Papers CORE 2000045, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    32. Polanski, Arnold & Stoja, Evarist, 2017. "Forecasting multidimensional tail risk at short and long horizons," Bank of England working papers 660, Bank of England.
    33. Odening, Martin & Hinrichs, Jan, 2002. "Assessment Of Market Risk In Hog Production Using Value-At-Risk And Extreme Value Theory," 2002 Annual meeting, July 28-31, Long Beach, CA 19907, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    34. Cotter, John, 2004. "Modelling extreme financial returns of global equity markets," MPRA Paper 3532, University Library of Munich, Germany.
    35. Esparcia, Carlos & Jareño, Francisco & Umar, Zaghum, 2022. "Revisiting the safe haven role of Gold across time and frequencies during the COVID-19 pandemic," The North American Journal of Economics and Finance, Elsevier, vol. 61(C).
    36. Garcia-Jorcano, Laura & Sanchis-Marco, Lidia, 2024. "Forecasting the effect of extreme sea-level rise on financial market risk," International Review of Economics & Finance, Elsevier, vol. 93(PB), pages 1-27.
    37. Jaap Geluk & Liang Peng & Casper G. de Vries, 1999. "Convolutions of Heavy Tailed Random Variables and Applications to Portfolio Diversification and MA(1) Time Series," Tinbergen Institute Discussion Papers 99-088/2, Tinbergen Institute.
    38. Wagner Piazza Gaglianone & Luiz Renato Lima & Oliver Linton & Daniel R. Smith, 2011. "Evaluating Value-at-Risk Models via Quantile Regression," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 29(1), pages 150-160, January.
    39. Jon Danielsson & Richard Payne, 1999. "Real Trading Patterns and Prices in Spot Foreign Exchange Markets," FMG Discussion Papers dp320, Financial Markets Group.
    40. Borak, Szymon & Misiorek, Adam & Weron, Rafal, 2010. "Models for Heavy-tailed Asset Returns," MPRA Paper 25494, University Library of Munich, Germany.
    41. Alexander, Carol & Sheedy, Elizabeth, 2008. "Developing a stress testing framework based on market risk models," Journal of Banking & Finance, Elsevier, vol. 32(10), pages 2220-2236, October.
    42. Rossignolo, Adrian F. & Fethi, Meryem Duygun & Shaban, Mohamed, 2012. "Value-at-Risk models and Basel capital charges," Journal of Financial Stability, Elsevier, vol. 8(4), pages 303-319.
    43. Gimeno, Ricardo & Gonzalez, Clara I., 2012. "An automatic procedure for the estimation of the tail index," MPRA Paper 37023, University Library of Munich, Germany.
    44. Manfred Gilli & Evis këllezi, 2006. "An Application of Extreme Value Theory for Measuring Financial Risk," Computational Economics, Springer;Society for Computational Economics, vol. 27(2), pages 207-228, May.
    45. John Cotter, 2004. "Downside risk for European equity markets," Applied Financial Economics, Taylor & Francis Journals, vol. 14(10), pages 707-716.
    46. Lucas, André & Straetmans, Stefan & Klaassen, Pieter, 1999. "Tail behavior of credit loss distributions," Serie Research Memoranda 0060, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    47. Suparna Biswas & Santanu Dutta, 2015. "Assessing Market Risk of Indian Index Funds," Global Business Review, International Management Institute, vol. 16(3), pages 511-523, June.
    48. Adrián F. Rossignolo & Víctor A. Álvarez, 2015. "Has the Basel Committee Got it Right? Evidence from Commodity Positions in Turmoil," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 10(1), pages 1-38, Enero-Jun.
    49. Nieto, Maria Rosa & Ruiz, Esther, 2016. "Frontiers in VaR forecasting and backtesting," International Journal of Forecasting, Elsevier, vol. 32(2), pages 475-501.
    50. Allen, David E. & Singh, Abhay K. & Powell, Robert J., 2013. "EVT and tail-risk modelling: Evidence from market indices and volatility series," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 355-369.
    51. Horváth, Roman & Šopov, Boril, 2016. "GARCH models, tail indexes and error distributions: An empirical investigation," The North American Journal of Economics and Finance, Elsevier, vol. 37(C), pages 1-15.
    52. Bi, Guang & Giles, David E., 2009. "Modelling the financial risk associated with U.S. movie box office earnings," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(9), pages 2759-2766.
    53. Salisu, Afees A. & Adediran, Idris & Omoke, Philip C. & Tchankam, Jean Paul, 2023. "Gold and tail risks," Resources Policy, Elsevier, vol. 80(C).
    54. Sun, Pengfei & Zhou, Chen, 2014. "Diagnosing the distribution of GARCH innovations," Journal of Empirical Finance, Elsevier, vol. 29(C), pages 287-303.
    55. Li, Longqing, 2017. "A Comparative Study of GARCH and EVT Model in Modeling Value-at-Risk," MPRA Paper 85645, University Library of Munich, Germany.
    56. George Kouretas & Leonidas Zarangas, 2005. "Conditional autoregressive valu at risk by regression quantile: Estimatingmarket risk for major stock markets," Working Papers 0521, University of Crete, Department of Economics.
    57. Muteba Mwamba, John Weirstrass & Tchuinkam Djemo, Charles Raoul, 2019. "Exchange Rate Risk and International Equity Portfolio Diversification: A South African Investor’s Perspective," MPRA Paper 97338, University Library of Munich, Germany.
    58. Pilar Abad & Sonia Benito, 2009. "Accurate Of Var Calculated Using Empirical Models Of The Term Structure," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 12(06), pages 811-832.
    59. Stefano Cabras & Walter Racugno, 2002. "Measuring Value at Risk with an extremal process," Metron - International Journal of Statistics, Dipartimento di Statistica, Probabilità e Statistiche Applicate - University of Rome, vol. 0(1-2), pages 157-174.
    60. Consigli, Giorgio, 2002. "Tail estimation and mean-VaR portfolio selection in markets subject to financial instability," Journal of Banking & Finance, Elsevier, vol. 26(7), pages 1355-1382, July.
    61. Chebbi, Ali & Hedhli, Amel, 2022. "Revisiting the accuracy of standard VaR methods for risk assessment: Using the Copula–EVT multidimensional approach for stock markets in the MENA region," The Quarterly Review of Economics and Finance, Elsevier, vol. 84(C), pages 430-445.
    62. Ozaki, Vitor Augusto & Olinda, Ricardo & Faria, Priscila Neves & Campos, Rogerio Costa, 2014. "Estimation of the Agricultural Probability of Loss: evidence for soybean in Paraná Stats," Brazilian Journal of Rural Economy and Sociology (Revista de Economia e Sociologia Rural-RESR), Sociedade Brasileira de Economia e Sociologia Rural, vol. 52(1), pages 1-16, March.
    63. Salisu, Afees A. & Olaniran, Abeeb & Tchankam, Jean Paul, 2022. "Oil tail risk and the tail risk of the US Dollar exchange rates," Energy Economics, Elsevier, vol. 109(C).
    64. Gencay, Ramazan & Selcuk, Faruk & Ulugulyagci, Abdurrahman, 2003. "High volatility, thick tails and extreme value theory in value-at-risk estimation," Insurance: Mathematics and Economics, Elsevier, vol. 33(2), pages 337-356, October.
    65. Ozaki, Vitor Augusto & Olinda, Ricardo & Faria, Priscila Neves & Campos, Rogério Costa, 2014. "Estimation of the Agricultural Probability of Loss: evidence for soybean in Paraná State," Revista de Economia e Sociologia Rural (RESR), Sociedade Brasileira de Economia e Sociologia Rural, vol. 52(1), January.
    66. Abad, Pilar & Benito, Sonia, 2013. "A detailed comparison of value at risk estimates," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 94(C), pages 258-276.
    67. Giovanni Ferri, 2016. "Regolamentazione bancaria: serve un cambio di approccio," ECONOMIA E DIRITTO DEL TERZIARIO, FrancoAngeli Editore, vol. 2016(3), pages 383-408.
    68. Hussein Khraibani & Bilal Nehme & Olivier Strauss, 2018. "Interval Estimation of Value-at-Risk Based on Nonparametric Models," Econometrics, MDPI, vol. 6(4), pages 1-30, December.
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    70. Benjamin Mögel & Benjamin R. Auer, 2018. "How accurate are modern Value-at-Risk estimators derived from extreme value theory?," Review of Quantitative Finance and Accounting, Springer, vol. 50(4), pages 979-1030, May.
    71. Codrut Florin Ivascu & Daniela Serban, 2023. "Value at Risk Estimation for Non-Gaussian Distributions," The Review of Finance and Banking, Academia de Studii Economice din Bucuresti, Romania / Facultatea de Finante, Asigurari, Banci si Burse de Valori / Catedra de Finante, vol. 15(2), pages 181-190, December.
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    75. Righi, Marcelo Brutti & Ceretta, Paulo Sergio, 2015. "A comparison of Expected Shortfall estimation models," Journal of Economics and Business, Elsevier, vol. 78(C), pages 14-47.
    76. Araújo Santos, Paulo & Fraga Alves, Isabel & Hammoudeh, Shawkat, 2013. "High quantiles estimation with Quasi-PORT and DPOT: An application to value-at-risk for financial variables," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 487-496.
    77. Roland Füss & Zeno Adams & Dieter G Kaiser, 2010. "The predictive power of value-at-risk models in commodity futures markets," Journal of Asset Management, Palgrave Macmillan, vol. 11(4), pages 261-285, October.
    78. Flavio Bazzana, 2001. "I modelli interni per la valutazione del rischio di mercato secondo l'approccio del Value at Risk," Alea Tech Reports 011, Department of Computer and Management Sciences, University of Trento, Italy, revised 14 Jun 2008.
    79. Liu, Qingfu & Tse, Yiuman, 2017. "Overnight returns of stock indexes: Evidence from ETFs and futures," International Review of Economics & Finance, Elsevier, vol. 48(C), pages 440-451.
    80. Salisu, Afees A. & Gupta, Rangan & Pierdzioch, Christian, 2022. "Predictability of tail risks of Canada and the U.S. Over a Century: The role of spillovers and oil tail Risks☆," The North American Journal of Economics and Finance, Elsevier, vol. 59(C).
    81. GIOT, Pierre & LAURENT, Sébastien, 2003. "Market risk in commodity markets: a VaR approach," LIDAM Discussion Papers CORE 2003028, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    82. Salisu, Afees A. & Gupta, Rangan & Ji, Qiang, 2022. "Forecasting oil prices over 150 years: The role of tail risks," Resources Policy, Elsevier, vol. 75(C).
    83. Fantazzini, Dean, 2011. "Analysis of multidimensional probability distributions with copula functions. III," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 24(4), pages 100-130.
    84. Weron, Rafał, 2004. "Computationally intensive Value at Risk calculations," Papers 2004,32, Humboldt University of Berlin, Center for Applied Statistics and Economics (CASE).
    85. Herrera, Rodrigo & Schipp, Bernhard, 2011. "Extreme value models in a conditional duration intensity framework," SFB 649 Discussion Papers 2011-022, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    86. Chou, Ray Yeutien & Yen, Tso-Jung & Yen, Yu-Min, 2017. "Risk evaluations with robust approximate factor models," Journal of Banking & Finance, Elsevier, vol. 82(C), pages 244-264.
    87. Muteba Mwamba, John & Mhlanga, Isaah, 2013. "Extreme conditional value at risk: a coherent scenario for risk management," MPRA Paper 64387, University Library of Munich, Germany.
    88. Wang, Chuan-Sheng & Zhao, Zhibiao, 2016. "Conditional Value-at-Risk: Semiparametric estimation and inference," Journal of Econometrics, Elsevier, vol. 195(1), pages 86-103.
    89. Hong, Yongmiao & Liu, Yanhui & Wang, Shouyang, 2009. "Granger causality in risk and detection of extreme risk spillover between financial markets," Journal of Econometrics, Elsevier, vol. 150(2), pages 271-287, June.
    90. Bertrand B. Maillet & Jean-Philippe R. M�decin, 2010. "Extreme Volatilities, Financial Crises and L-moment Estimations of Tail-indexes," Working Papers 2010_10, Department of Economics, University of Venice "Ca' Foscari".
    91. Xu, Jing & Zhang, Bo, 2009. "Martingale characterization of G-Brownian motion," Stochastic Processes and their Applications, Elsevier, vol. 119(1), pages 232-248, January.
    92. Lesedi Mabitsela & Eben Maré & Rodwell Kufakunesu, 2015. "Quantification of VaR: A Note on VaR Valuation in the South African Equity Market," JRFM, MDPI, vol. 8(1), pages 1-24, February.
    93. Abdul-Aziz Ibn Musah & Jianguo Du & Hira Salah Ud din Khan & Alhassan Alolo Abdul-Rasheed Akeji, 2018. "The Asymptotic Decision Scenarios of an Emerging Stock Exchange Market: Extreme Value Theory and Artificial Neural Network," Risks, MDPI, vol. 6(4), pages 1-24, November.
    94. Komunjer, Ivana, 2013. "Quantile Prediction," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 961-994, Elsevier.
    95. Hamed Tabasi & Vahidreza Yousefi & Jolanta Tamošaitienė & Foroogh Ghasemi, 2019. "Estimating Conditional Value at Risk in the Tehran Stock Exchange Based on the Extreme Value Theory Using GARCH Models," Administrative Sciences, MDPI, vol. 9(2), pages 1-17, May.
    96. Ahmed, Rizwan & Chaudhry, Sajid M. & Kumpamool, Chamaiporn & Benjasak, Chonlakan, 2022. "Tail risk, systemic risk and spillover risk of crude oil and precious metals," Energy Economics, Elsevier, vol. 112(C).
    97. Fabio Bellini & Gianna Figà-Talamanca, 2004. "Detecting And Modeling Tail Dependence," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 7(03), pages 269-287.
    98. Bhatti, M. Ishaq & Nguyen, Cuong C., 2012. "Diversification evidence from international equity markets using extreme values and stochastic copulas," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 22(3), pages 622-646.
    99. Riedel, Christoph & Wagner, Niklas, 2015. "Is risk higher during non-trading periods? The risk trade-off for intraday versus overnight market returns," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 39(C), pages 53-64.

  40. Casper De Vries & Jon Danielsson & Casper G, de Vries, 1996. "Tail Index and Quantile Estimation with Very High Frequency Data," CESifo Working Paper Series 116, CESifo.

    Cited by:

    1. Luis Fernando Melo Velandia & Oscar Reinaldo Becerra Camargo, 2005. "Medidas De Riesgo, Caracteristicas Y Técnicas De Medición: Una Aplicación Del Var Y El Es A La Tasa Interbancaria De Colombia," Borradores de Economia 3198, Banco de la Republica.
    2. Giacomini, Raffaella & Komunjer, Ivana, 2002. "Evaluation and Combination of Conditional Quantile Forecasts," University of California at San Diego, Economics Working Paper Series qt4n99t4wz, Department of Economics, UC San Diego.
    3. Hans-Werner Sinn, 1999. "Inflation and Welfare: Comment on Robert Lucas," CESifo Working Paper Series 179, CESifo.
    4. Marco Moscadelli, 2004. "The modelling of operational risk: experience with the analysis of the data collected by the Basel Committee," Temi di discussione (Economic working papers) 517, Bank of Italy, Economic Research and International Relations Area.
    5. POON, Ser-Huang & ROCKINGER, Michael & TAWN, Jonathan, 2001. "New Extreme-Value Dependance Measures and Finance Applications," HEC Research Papers Series 719, HEC Paris.
    6. John Cotter, 2011. "Tail Behaviour of the Euro," Papers 1103.5418, arXiv.org.
    7. Siem Jan Koopman & Neil Shephard, 2002. "Testing the Assumptions Behind the Use of Importance Sampling," Economics Papers 2002-W17, Economics Group, Nuffield College, University of Oxford.
    8. John Cotter, 2004. "Downside risk for European equity markets," Applied Financial Economics, Taylor & Francis Journals, vol. 14(10), pages 707-716.
    9. Francesca Greselin & Fabio Piacenza & Ričardas Zitikis, 2019. "Practice Oriented and Monte Carlo Based Estimation of the Value-at-Risk for Operational Risk Measurement," Risks, MDPI, vol. 7(2), pages 1-20, May.
    10. Gonzalo Cortazar & Alejandro Bernales & Diether Beuermann, 2005. "Methodology and Implementation of Value-at-Risk Measures in Emerging Fixed-Income Markets with Infrequent Trading," Finance 0512030, University Library of Munich, Germany.
    11. Philipp Hartmann & Stefan Straetmans & Casper de Vries, 2007. "Banking System Stability. A Cross-Atlantic Perspective," NBER Chapters, in: The Risks of Financial Institutions, pages 133-188, National Bureau of Economic Research, Inc.
    12. José L. B. Fernandes & Augusto Hasman & Juan Ignacio Peña, 2006. "Risk Premium: Insights Over The Threshold," Working Papers Series 126, Central Bank of Brazil, Research Department.
    13. Carmela E. Quintos & Zhenhong Fan & Peter C.B. Phillips, 2000. "Structural Change in Tail Behavior and the Asian Financial Crisis," Cowles Foundation Discussion Papers 1283, Cowles Foundation for Research in Economics, Yale University.
    14. Bali, Turan G. & Neftci, Salih N., 2003. "Disturbing extremal behavior of spot rate dynamics," Journal of Empirical Finance, Elsevier, vol. 10(4), pages 455-477, September.
    15. Sheri Markose & Amadeo Alentorn, 2005. "Option Pricing and the Implied Tail Index with the Generalized Extreme Value (GEV) Distribution," Computing in Economics and Finance 2005 397, Society for Computational Economics.

Articles

  1. Jon Danielsson & Marcela Valenzuela & Ilknur Zer, 2023. "The Impact of Risk Cycles on Business Cycles: A Historical View," The Review of Financial Studies, Society for Financial Studies, vol. 36(7), pages 2922-2961.
    See citations under working paper version above.
  2. Daníelsson, Jón & Macrae, Robert & Uthemann, Andreas, 2022. "Artificial intelligence and systemic risk," Journal of Banking & Finance, Elsevier, vol. 140(C).
    See citations under working paper version above.
  3. Panayi, Efstathios & Peters, Gareth W. & Danielsson, Jon & Zigrand, Jean-Pierre, 2018. "Designating market maker behaviour in limit order book markets," Econometrics and Statistics, Elsevier, vol. 5(C), pages 20-44.
    See citations under working paper version above.
  4. Jon Danielsson & Marcela Valenzuela & Ilknur Zer, 2018. "Learning from History: Volatility and Financial Crises," The Review of Financial Studies, Society for Financial Studies, vol. 31(7), pages 2774-2805.
    See citations under working paper version above.
  5. Jon Danielsson & Kevin R. James & Marcela Valenzuela & Ilknur Zer, 2016. "Can We Prove a Bank Guilty of Creating Systemic Risk? A Minority Report," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 48(4), pages 795-812, June.
    See citations under working paper version above.
  6. Danielsson, Jon & James, Kevin R. & Valenzuela, Marcela & Zer, Ilknur, 2016. "Model risk of risk models," Journal of Financial Stability, Elsevier, vol. 23(C), pages 79-91.
    See citations under working paper version above.
  7. Boucher, Christophe M. & Daníelsson, Jón & Kouontchou, Patrick S. & Maillet, Bertrand B., 2014. "Risk models-at-risk," Journal of Banking & Finance, Elsevier, vol. 44(C), pages 72-92.
    See citations under working paper version above.
  8. Boudt, Kris & Daníelsson, Jón & Laurent, Sébastien, 2013. "Robust forecasting of dynamic conditional correlation GARCH models," International Journal of Forecasting, Elsevier, vol. 29(2), pages 244-257.

    Cited by:

    1. Amélie Charles & Olivier Darné, 2012. "Volatility Persistence in Crude Oil Markets," Working Papers hal-00719387, HAL.
    2. Charles, Amélie & Darné, Olivier, 2014. "Large shocks in the volatility of the Dow Jones Industrial Average index: 1928–2013," Journal of Banking & Finance, Elsevier, vol. 43(C), pages 188-199.
    3. Gambacciani, Marco & Paolella, Marc S., 2017. "Robust normal mixtures for financial portfolio allocation," Econometrics and Statistics, Elsevier, vol. 3(C), pages 91-111.
    4. Vortelinos, Dimitrios I., 2017. "Forecasting realized volatility: HAR against Principal Components Combining, neural networks and GARCH," Research in International Business and Finance, Elsevier, vol. 39(PB), pages 824-839.
    5. Christian Francq & Lajos Horváth & Jean-Michel Zakoïan, 2016. "Variance Targeting Estimation of Multivariate GARCH Models," Journal of Financial Econometrics, Oxford University Press, vol. 14(2), pages 353-382.
    6. Souhir, Ben Amor & Heni, Boubaker & Lotfi, Belkacem, 2019. "Price risk and hedging strategies in Nord Pool electricity market evidence with sector indexes," Energy Economics, Elsevier, vol. 80(C), pages 635-655.
    7. Hotta, Luiz & Trucíos, Carlos, 2015. "Robust bootstrap forecast densities for GARCH models: returns, volatilities and value-at-risk," DES - Working Papers. Statistics and Econometrics. WS ws1523, Universidad Carlos III de Madrid. Departamento de Estadística.
    8. Christophe Hurlin & Sébastien Laurent & Rogier Quaedvlieg & Stephan Smeekes, 2017. "Risk Measure Inference," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 35(4), pages 499-512, October.
    9. Dimitrios I. Vortelinos & Konstantinos Gkillas, 2018. "Intraday realised volatility forecasting and announcements," International Journal of Banking, Accounting and Finance, Inderscience Enterprises Ltd, vol. 9(1), pages 88-118.
    10. Dahiru A. Balaa & Taro Takimotob, 2017. "Stock markets volatility spillovers during financial crises: A DCC-MGARCH with skewed-t density approach," Borsa Istanbul Review, Research and Business Development Department, Borsa Istanbul, vol. 17(1), pages 25-48, March.
    11. Amélie Charles & Olivier Darné, 0. "Econometric history of the growth–volatility relationship in the USA: 1919–2017," Cliometrica, Springer;Cliometric Society (Association Francaise de Cliométrie), vol. 0, pages 1-24.
    12. Piotr Fiszeder & Marta Ma³ecka, 2022. "Forecasting volatility during the outbreak of Russian invasion of Ukraine: application to commodities, stock indices, currencies, and cryptocurrencies," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 17(4), pages 939-967, December.
    13. Amélie Charles & Chew Lian Chua & Olivier Darné & Sandy Suardi, 2020. "On the Pernicious Effects of Oil Price Uncertainty on U.S. Real Economic Activities," Post-Print hal-03040689, HAL.
    14. Arturo Leccadito & Alessandro Staino & Pietro Toscano, 2024. "A novel robust method for estimating the covariance matrix of financial returns with applications to risk management," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-28, December.
    15. Laurent, Sébastien & Lecourt, Christelle & Palm, Franz C., 2016. "Testing for jumps in conditionally Gaussian ARMA–GARCH models, a robust approach," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 383-400.
    16. Lucas, André & Schwaab, Bernd & Zhang, Xin, 2013. "Conditional euro area sovereign default risk," Working Paper Series 269, Sveriges Riksbank (Central Bank of Sweden).
    17. Carlos Trucíos & James W. Taylor, 2023. "A comparison of methods for forecasting value at risk and expected shortfall of cryptocurrencies," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(4), pages 989-1007, July.
    18. de Almeida, Daniel & Hotta, Luiz K. & Ruiz, Esther, 2018. "MGARCH models: Trade-off between feasibility and flexibility," International Journal of Forecasting, Elsevier, vol. 34(1), pages 45-63.
    19. Marc Hallin & Carlos Trucíos, 2020. "Forecasting Value-at-Risk and Expected Shortfall in Large Portfolios: a General Dynamic Factor Approach," Working Papers ECARES 2020-50, ULB -- Universite Libre de Bruxelles.
    20. Trucíos, Carlos, 2019. "Forecasting Bitcoin risk measures: A robust approach," International Journal of Forecasting, Elsevier, vol. 35(3), pages 836-847.
    21. Ewa Ratuszny, 2013. "Robust Estimation in VaR Modelling - Univariate Approaches using Bounded Innovation Propagation and Regression Quantiles Methodology," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 5(1), pages 35-63, March.
    22. Charles, Amélie & Darné, Olivier, 2017. "Forecasting crude-oil market volatility: Further evidence with jumps," Energy Economics, Elsevier, vol. 67(C), pages 508-519.
    23. Fiszeder, Piotr & Fałdziński, Marcin & Molnár, Peter, 2023. "Modeling and forecasting dynamic conditional correlations with opening, high, low, and closing prices," Journal of Empirical Finance, Elsevier, vol. 70(C), pages 308-321.
    24. Schwaab, Bernd & Lucas, André & Zhang, Xin, 2013. "Conditional and joint credit risk," Working Paper Series 1621, European Central Bank.
    25. Carlos Trucíos & Mauricio Zevallos & Luiz K. Hotta & André A. P. Santos, 2019. "Covariance Prediction in Large Portfolio Allocation," Econometrics, MDPI, vol. 7(2), pages 1-24, May.
    26. Yilmaz, Mustafa K. & Sensoy, Ahmet & Ozturk, Kevser & Hacihasanoglu, Erk, 2015. "Cross-sectoral interactions in Islamic equity markets," Pacific-Basin Finance Journal, Elsevier, vol. 32(C), pages 1-20.
    27. BAUWENS, Luc & BRAIONE, Manuela & STORTI, Giuseppe, 2016. "Multiplicative Conditional Correlation Models for Realized Covariance Matrices," LIDAM Discussion Papers CORE 2016041, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    28. O’Brien, James & Szerszeń, Paweł J., 2017. "An evaluation of bank measures for market risk before, during and after the financial crisis," Journal of Banking & Finance, Elsevier, vol. 80(C), pages 215-234.
    29. Trucíos Maza, Carlos César & Hotta, Luiz Koodi & Pereira, Pedro L. Valls, 2018. "On the robustness of the principal volatility components," Textos para discussão 474, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
    30. Charles, Amélie & Darné, Olivier & Pop, Adrian, 2015. "Risk and ethical investment: Empirical evidence from Dow Jones Islamic indexes," Research in International Business and Finance, Elsevier, vol. 35(C), pages 33-56.
    31. Paolella, Marc S. & Polak, Paweł & Walker, Patrick S., 2021. "A non-elliptical orthogonal GARCH model for portfolio selection under transaction costs," Journal of Banking & Finance, Elsevier, vol. 125(C).
    32. Sla{dj}ana Babi'c & Christophe Ley & Lorenzo Ricci & David Veredas, 2020. "TailCoR," Papers 2011.14817, arXiv.org.
    33. Saker Sabkha & Christian de Peretti, 2022. "On the performances of Dynamic Conditional Correlation models in the Sovereign CDS market and the corresponding bond market," Post-Print hal-01710398, HAL.
    34. Ardia, David & Bluteau, Keven & Boudt, Kris & Catania, Leopoldo, 2018. "Forecasting risk with Markov-switching GARCH models:A large-scale performance study," International Journal of Forecasting, Elsevier, vol. 34(4), pages 733-747.
    35. Grané, Aurea & Martín-Barragán, Belén & Veiga, Helena, 2014. "Outliers in multivariate Garch models," DES - Working Papers. Statistics and Econometrics. WS ws140503, Universidad Carlos III de Madrid. Departamento de Estadística.
    36. Amélie Charles & Olivier Darné, 2019. "Volatility estimation for Bitcoin: Replication and robustness," International Economics, CEPII research center, issue 157, pages 23-32.
    37. Sylvain Barde, 2015. "A fast algorithm for finding the confidence set of large collections of models," Studies in Economics 1519, School of Economics, University of Kent.
    38. Abdul Aziz, Nor Syahilla & Vrontos, Spyridon & M. Hasim, Haslifah, 2019. "Evaluation of multivariate GARCH models in an optimal asset allocation framework," The North American Journal of Economics and Finance, Elsevier, vol. 47(C), pages 568-596.
    39. Francisco Blasques & Andre Lucas & Erkki Silde, 2013. "Stationarity and Ergodicity Regions for Score Driven Dynamic Correlation Models," Tinbergen Institute Discussion Papers 13-097/IV/DSF59, Tinbergen Institute.
    40. Spiliotis, Evangelos & Nikolopoulos, Konstantinos & Assimakopoulos, Vassilios, 2019. "Tales from tails: On the empirical distributions of forecasting errors and their implication to risk," International Journal of Forecasting, Elsevier, vol. 35(2), pages 687-698.

  9. Daníelsson, Jón & Jorgensen, Bjørn N. & Samorodnitsky, Gennady & Sarma, Mandira & de Vries, Casper G., 2013. "Fat tails, VaR and subadditivity," Journal of Econometrics, Elsevier, vol. 172(2), pages 283-291.

    Cited by:

    1. Chuancun Yin & Dan Zhu, 2015. "New class of distortion risk measures and their tail asymptotics with emphasis on VaR," Papers 1503.08586, arXiv.org, revised Mar 2016.
    2. AMARANTE, Massimiliano, 2013. "A Representation of Risk Measures," Cahiers de recherche 2013-08, Universite de Montreal, Departement de sciences economiques.
    3. Farkas, Walter & Fringuellotti, Fulvia & Tunaru, Radu, 2020. "A cost-benefit analysis of capital requirements adjusted for model risk," Journal of Corporate Finance, Elsevier, vol. 65(C).
    4. Thabani Ndlovu & Delson Chikobvu, 2024. "The GARCH-EVT-Copula Approach to Investigating Dependence and Quantifying Risk in a Portfolio of Bitcoin and the South African Rand," JRFM, MDPI, vol. 17(11), pages 1-16, November.
    5. Nathan Lassance & Frédéric Vrins, 2019. "Minimum Rényi entropy portfolios," LIDAM Reprints CORE 3062, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    6. Marco Rocco, 2011. "Extreme value theory for finance: a survey," Questioni di Economia e Finanza (Occasional Papers) 99, Bank of Italy, Economic Research and International Relations Area.
    7. Daniel Bauer & George Zanjani, 2016. "The Marginal Cost of Risk, Risk Measures, and Capital Allocation," Management Science, INFORMS, vol. 62(5), pages 1431-1457, May.
    8. Jang, Minchul & Yoon, Soeun & Jung, Seoyoung & Min, Baehyun, 2024. "Simulating and assessing carbon markets: Application to the Korean and the EU ETSs," Renewable and Sustainable Energy Reviews, Elsevier, vol. 195(C).
    9. Frantisek Cech & Jozef Barunik, 2017. "Measurement of Common Risk Factors: A Panel Quantile Regression Model for Returns," Working Papers IES 2017/20, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Sep 2017.
    10. Asmerilda Hitaj & Lorenzo Mercuri & Edit Rroji, 2019. "Sensitivity analysis of Mixed Tempered Stable parameters with implications in portfolio optimization," Computational Management Science, Springer, vol. 16(1), pages 71-95, February.
    11. Julia S. Mehlitz & Benjamin R. Auer, 2021. "Time‐varying dynamics of expected shortfall in commodity futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(6), pages 895-925, June.
    12. Dominique Guegan & Bertrand Hassani, 2014. "Distortion Risk Measures or the Transformation of Unimodal Distributions into Multimodal Functions," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00969242, HAL.
    13. José Garrido & Ramin Okhrati, 2018. "Desirable Portfolios in Fixed Income Markets: Application to Credit Risk Premiums," Risks, MDPI, vol. 6(1), pages 1-21, March.
    14. Dominique Guegan & Bertrand K. Hassani, 2016. "Combining risk measures to overcome their limitations - spectrum representation of the sub-additivity issue, distortion requirement and added-value of the Spatial VaR solution: An application to Regul," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01391103, HAL.
    15. Buch, Arne & Dorfleitner, Gregor & Wimmer, Maximilian, 2011. "Risk capital allocation for RORAC optimization," Journal of Banking & Finance, Elsevier, vol. 35(11), pages 3001-3009, November.
    16. Dominique Guegan & Bertrand K. Hassani, 2016. "Combining risk measures to overcome their limitations - spectrum representation of the sub-additivity issue, distortion requirement and added-value of the Spatial VaR solution: An application to Regul," Post-Print halshs-01391103, HAL.
    17. Yam Wing Siu, 2018. "Volatility Forecast by Volatility Index and Its Use as a Risk Management Tool Under a Value-at-Risk Approach," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 21(02), pages 1-48, June.
    18. Caginalp, Carey & Caginalp, Gunduz, 2019. "Price equations with symmetric supply/demand; implications for fat tails," Economics Letters, Elsevier, vol. 176(C), pages 79-82.
    19. Alexander, Carol & Kaeck, Andreas & Sumawong, Anannit, 2019. "A parsimonious parametric model for generating margin requirements for futures," European Journal of Operational Research, Elsevier, vol. 273(1), pages 31-43.
    20. Dominique Guegan & Bertrand K. Hassani, 2016. "Combining risk measures to overcome their limitations - spectrum representation of the sub-additivity issue, distortion requirement and added-value of the Spatial VaR solution: An application to Regul," Documents de travail du Centre d'Economie de la Sorbonne 16066, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    21. Nieto, Maria Rosa & Ruiz, Esther, 2016. "Frontiers in VaR forecasting and backtesting," International Journal of Forecasting, Elsevier, vol. 32(2), pages 475-501.
    22. Michael Michaelides & Niraj Poudyal, 2024. "Good risk measures, bad statistical assumptions, ugly risk forecasts," The Financial Review, Eastern Finance Association, vol. 59(2), pages 519-543, May.
    23. Alexander, Gordon J. & Baptista, Alexandre M. & Yan, Shu, 2021. "Regulation of bank proprietary trading post 2007–09 crisis: An examination of the Basel framework and Volcker rule," Journal of International Money and Finance, Elsevier, vol. 119(C).
    24. Laurent Gardes & Stéphane Girard & Gilles Stupfler, 2020. "Beyond tail median and conditional tail expectation: Extreme risk estimation using tail Lp‐optimization," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 47(3), pages 922-949, September.
    25. James Ming Chen, 2018. "On Exactitude in Financial Regulation: Value-at-Risk, Expected Shortfall, and Expectiles," Risks, MDPI, vol. 6(2), pages 1-28, June.
    26. Gunduz Caginalp, 2020. "Fat tails arise endogenously in asset prices from supply/demand, with or without jump processes," Papers 2011.08275, arXiv.org, revised Mar 2021.
    27. Kao, Lie-Jane, 2015. "A portfolio-invariant capital allocation scheme penalizing concentration risk," Economic Modelling, Elsevier, vol. 51(C), pages 560-570.
    28. Dávid Zoltán Szabó & Kata Váradi, 2022. "Margin requirements based on a stochastic correlation model," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(10), pages 1797-1820, October.
    29. Dominique Guegan & Bertrand Hassani, 2014. "Distortion Risk Measures or the Transformation of Unimodal Distributions into Multimodal Functions," Post-Print halshs-00969242, HAL.
    30. Álvaro Chamizo & Alexandre Fonollosa & Alfonso Novales, 2019. "Forward-looking asset correlations in the estimation of economic capital," Documentos de Trabajo del ICAE 2019-25, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    31. Ra'ul Torres & Rosa E. Lillo & Henry Laniado, 2015. "A Directional Multivariate Value at Risk," Papers 1502.00908, arXiv.org.
    32. Fabozzi Frank J. & Stoyanov Stoyan V. & Rachev Svetlozar T., 2013. "Computational aspects of portfolio risk estimation in volatile markets: a survey," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 17(1), pages 103-120, February.
    33. Toshinao Yoshiba, 2013. "Risk Aggregation by a Copula with a Stressed Condition," Bank of Japan Working Paper Series 13-E-12, Bank of Japan.
    34. Imre Kondor, 2014. "Estimation Error of Expected Shortfall," Papers 1402.5534, arXiv.org.
    35. Antonio Di Cesare & Philip A. Stork & Casper G. de Vries, 2011. "Risk measures for autocorrelated hedge fund returns," Temi di discussione (Economic working papers) 831, Bank of Italy, Economic Research and International Relations Area.
    36. Charles-Olivier Amédée-Manesme & Fabrice Barthélémy, 2022. "Proper use of the modified Sharpe ratios in performance measurement: rearranging the Cornish Fisher expansion," Annals of Operations Research, Springer, vol. 313(2), pages 691-712, June.
    37. Fabrice Barthélémy, 2014. "Cornish-Fisher Expansion for Commercial Real Estate Value at Risk," THEMA Working Papers 2014-29, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    38. Steven Kou & Xianhua Peng, 2016. "On the Measurement of Economic Tail Risk," Operations Research, INFORMS, vol. 64(5), pages 1056-1072, October.
    39. Chamizo, Álvaro & Fonollosa, Alexandre & Novales, Alfonso, 2019. "Forward-looking asset correlations in the estimation of economic capital," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 61(C), pages 264-288.
    40. Torres, Raúl & Lillo, Rosa E. & Laniado, Henry, 2015. "A directional multivariate value at risk," Insurance: Mathematics and Economics, Elsevier, vol. 65(C), pages 111-123.
    41. Regele, Fabian & Gründl, Helmut, 2021. "Asset concentration risk and insurance solvency regulation," ICIR Working Paper Series 40/21, Goethe University Frankfurt, International Center for Insurance Regulation (ICIR).
    42. Ho Hwang, Jong, 2014. "A proposal for an open-source financial risk model," LSE Research Online Documents on Economics 59298, London School of Economics and Political Science, LSE Library.
    43. Michael Grabchak, 2014. "Does value-at-risk encourage diversification when losses follow tempered stable or more general Lévy processes?," Annals of Finance, Springer, vol. 10(4), pages 553-568, November.
    44. Osmundsen, Kjartan Kloster, 2017. "Using Expected Shortfall for Credit Risk Regulation," UiS Working Papers in Economics and Finance 2017/4, University of Stavanger.
    45. Osmundsen, Kjartan Kloster, 2018. "Using expected shortfall for credit risk regulation," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 57(C), pages 80-93.
    46. Stoyan Stoyanov & Svetlozar Rachev & Frank Fabozzi, 2013. "Sensitivity of portfolio VaR and CVaR to portfolio return characteristics," Annals of Operations Research, Springer, vol. 205(1), pages 169-187, May.
    47. Baruník, Jozef & Čech, František, 2021. "Measurement of common risks in tails: A panel quantile regression model for financial returns," Journal of Financial Markets, Elsevier, vol. 52(C).
    48. Asche, Frank & Dahl, Roy Endre & Oglend, Atle, 2013. "Value-at-Risk: Risk assessment for the portfolio of oil and gas producers," UiS Working Papers in Economics and Finance 2013/3, University of Stavanger.
    49. Berger, T. & Missong, M., 2014. "Financial crisis, Value-at-Risk forecasts and the puzzle of dependency modeling," International Review of Financial Analysis, Elsevier, vol. 33(C), pages 33-38.

  10. Jón Daníelsson & Jinhui Luo & Richard Payne, 2012. "Exchange rate determination and inter-market order flow effects," The European Journal of Finance, Taylor & Francis Journals, vol. 18(9), pages 823-840, October.

    Cited by:

    1. Kathryn M. E. Dominguez & Freyan Panthaki, 2007. "The Influence of Actual and Unrequited Interventions," Working Papers 561, Research Seminar in International Economics, University of Michigan.
    2. Alexis Stenfors & Masayuki Susai, 2017. "Liquidity Withdrawal in the FX Spot Market: A Cross-Country Study Using High-Frequency Data," Working Papers in Economics & Finance 2017-06, University of Portsmouth, Portsmouth Business School, Economics and Finance Subject Group.
    3. Alexis Stenfors & Mehrdaad Doraghi & Cristina Soviany & Masayuki Susai & Kaveh Vakili, 2022. "Cross-Market Spoofing," Working Papers in Economics & Finance 2022-04, University of Portsmouth, Portsmouth Business School, Economics and Finance Subject Group.
    4. K. H. McIntyre & Kristine Harjes, 2016. "Order Flow and the Bitcoin Spot Rate," Applied Economics and Finance, Redfame publishing, vol. 3(3), pages 136-147, August.
    5. Alexis Stenfors & Masayuki Susai, 2021. "Stealth Trading in FX Markets," Working Papers in Economics & Finance 2021-02, University of Portsmouth, Portsmouth Business School, Economics and Finance Subject Group.
    6. Matthew Greenwood-Nimmo & Viet Hoang Nguyen & Yongcheol Shin, 2014. "Quantifying Informational Linkages in a Global Model of Currency Spot Markets," Melbourne Institute Working Paper Series wp2014n17, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    7. Ying-Sing Liu, 2021. "The Impact of Trading Information Sets on Exchange Rate Change and Volatility: Evidence From Taiwan," SAGE Open, , vol. 11(4), pages 21582440211, November.
    8. Stenfors, Alexis & Susai, Masayuki, 2021. "Spoofing and pinging in foreign exchange markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 70(C).
    9. Kleinbrod, Vincent M. & Li, Xiao-Ming, 2017. "Order flow and exchange rate comovement," Journal of International Money and Finance, Elsevier, vol. 77(C), pages 199-215.
    10. Chen, Pei-wen & Huang, Han-ching & Su, Yong-chern, 2014. "The central bank in market efficiency: The case of Taiwan," Pacific-Basin Finance Journal, Elsevier, vol. 29(C), pages 239-260.
    11. Abolaji Daniel Anifowose & Izlin Ismail & Mohd Edil Abd Sukor, 2018. "Currency Order Flow and Exchange Rate Determination: Empirical Evidence from the Malaysian Foreign Exchange Market," Global Business Review, International Management Institute, vol. 19(4), pages 902-920, August.

  11. Jon Danielsson & Hyun Song Shin & Jean-Pierre Zigrand, 2012. "Endogenous Extreme Events and the Dual Role of Prices," Annual Review of Economics, Annual Reviews, vol. 4(1), pages 111-129, July.

    Cited by:

    1. Cai, Mei-Ling & Chen, Zhang-HangJian & Li, Sai-Ping & Xiong, Xiong & Zhang, Wei & Yang, Ming-Yuan & Ren, Fei, 2022. "New volatility evolution model after extreme events," Chaos, Solitons & Fractals, Elsevier, vol. 154(C).
    2. Mei-Ling Cai & Zhang-HangJian Chen & Sai-Ping Li & Xiong Xiong & Wei Zhang & Ming-Yuan Yang & Fei Ren, 2022. "New volatility evolution model after extreme events," Papers 2201.03213, arXiv.org.
    3. Jon Danielsson & Andreas Uthemann, 2024. "Artificial intelligence and financial crises," Papers 2407.17048, arXiv.org.
    4. Zigrand, Jean-Pierre, 2014. "Systems and systemic risk in finance and economics," LSE Research Online Documents on Economics 61220, London School of Economics and Political Science, LSE Library.
    5. Marco Fruzzetti & Giulio Gariano & Gerardo Palazzo & Antonio Scalia, 2021. "From SMP to PEPP: a further look at the risk endogeneity of the Central Bank," Mercati, infrastrutture, sistemi di pagamento (Markets, Infrastructures, Payment Systems) 11, Bank of Italy, Directorate General for Markets and Payment System.
    6. Mazzarisi, Piero & Lillo, Fabrizio & Marmi, Stefano, 2019. "When panic makes you blind: A chaotic route to systemic risk," Journal of Economic Dynamics and Control, Elsevier, vol. 100(C), pages 176-199.
    7. Heckens, Anton J. & Guhr, Thomas, 2022. "New collectivity measures for financial covariances and correlations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 604(C).
    8. Danielsson, Jon & Macrae, Robert & Tsomocos, Dimitrios P. & Zigrand, Jean-Pierre, 2016. "Why macropru can end up being procyclical," LSE Research Online Documents on Economics 70711, London School of Economics and Political Science, LSE Library.
    9. Christopher D. Clack & Elias Court & Dmitrijs Zaparanuks, 2020. "Dynamic Coupling and Market Instability," Papers 2005.13621, arXiv.org.
    10. Piero Mazzarisi & Fabrizio Lillo & Stefano Marmi, 2018. "When panic makes you blind: a chaotic route to systemic risk," Papers 1805.00785, arXiv.org.
    11. Kim Christensen & Roel Oomen & Roberto Renò, 2016. "The Drift Burst Hypothesis," CREATES Research Papers 2016-28, Department of Economics and Business Economics, Aarhus University.
    12. Ben Hambly & Andreas Søjmark, 2019. "An SPDE model for systemic risk with endogenous contagion," Finance and Stochastics, Springer, vol. 23(3), pages 535-594, July.
    13. Steffen, Viktoria, 2023. "A literature review on extreme price movements with reversal," Journal of Behavioral and Experimental Finance, Elsevier, vol. 38(C).
    14. Pagnottoni, Paolo & Spelta, Alessandro & Pecora, Nicolò & Flori, Andrea & Pammolli, Fabio, 2021. "Financial earthquakes: SARS-CoV-2 news shock propagation in stock and sovereign bond markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 582(C).
    15. Bluwstein, Kristina & Yung, Julieta, 2019. "Back to the real economy: the effects of risk perception shocks on the term premium and bank lending," Bank of England working papers 806, Bank of England.

  12. Jón Daníelsson & Richard Payne, 2012. "Liquidity determination in an order-driven market," The European Journal of Finance, Taylor & Francis Journals, vol. 18(9), pages 799-821, October.

    Cited by:

    1. Francisco Peñaranda & Jón Daníelsson, 2007. "On the impact of fundamentals, liquidity and coordination on market stability," Economics Working Papers 1003, Department of Economics and Business, Universitat Pompeu Fabra, revised Mar 2010.
    2. Teplova, Tamara V. & Rodina, Victoria A., 2016. "Does stock exchange consolidation improve market liquidity? A study of stock exchange acquisition in Russia," Research in International Business and Finance, Elsevier, vol. 37(C), pages 375-390.
    3. Nguyen, Giang & Engle, Robert & Fleming, Michael & Ghysels, Eric, 2020. "Liquidity and volatility in the U.S. Treasury market," Journal of Econometrics, Elsevier, vol. 217(2), pages 207-229.
    4. Alexis Stenfors & Masayuki Susai, 2017. "Liquidity Withdrawal in the FX Spot Market: A Cross-Country Study Using High-Frequency Data," Working Papers in Economics & Finance 2017-06, University of Portsmouth, Portsmouth Business School, Economics and Finance Subject Group.
    5. Bjonnes, Geir Hoidal & Rime, Dagfinn & Solheim, Haakon O.Aa., 2005. "Liquidity provision in the overnight foreign exchange market," Journal of International Money and Finance, Elsevier, vol. 24(2), pages 175-196, March.
    6. Lilian de Menezes & Marianna Russo & Giovanni Urga, 2016. "Identifying Drivers of Liquidity in the NBP Month-ahead Market," EcoMod2016 9570, EcoMod.
    7. Kleinbrod, Vincent M. & Li, Xiao-Ming, 2017. "Order flow and exchange rate comovement," Journal of International Money and Finance, Elsevier, vol. 77(C), pages 199-215.
    8. Bruce Burton & Satish Kumar & Nitesh Pandey, 2020. "Twenty-five years of The European Journal of Finance (EJF): a retrospective analysis," The European Journal of Finance, Taylor & Francis Journals, vol. 26(18), pages 1817-1841, December.
    9. Tóth, Bence & Palit, Imon & Lillo, Fabrizio & Farmer, J. Doyne, 2015. "Why is equity order flow so persistent?," Journal of Economic Dynamics and Control, Elsevier, vol. 51(C), pages 218-239.
    10. Luo, Ji & Tee, Kai-Hong & Li, Baibing, 2017. "Timing liquidity in the foreign exchange market: Did hedge funds do it?," Journal of Multinational Financial Management, Elsevier, vol. 40(C), pages 47-62.
    11. Danny Lo, 2015. "Essays in Market Microstructure and Investor Trading," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 4-2015, January-A.

  13. Jón Daníelsson & Francisco Peñaranda, 2011. "On The Impact Of Fundamentals, Liquidity, And Coordination On Market Stability," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 52(3), pages 621-638, August.
    See citations under working paper version above.
  14. Sigridur Benediktsdottir & Jon Danielsson & Gylfi Zoega, 2011. "Lessons from a collapse of a financial system [Looting: The economic underworld of bankruptcy for profit]," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 26(66), pages 183-235.

    Cited by:

    1. Gylfi Zoega, 2017. "Nordic Lessons from Exchange Rate Regimes," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 45(4), pages 411-428, December.
    2. Hamid Raza & Bjorn Gudmundsson & Gylfi Zoega & Stephen Kinsella, 2016. "Two thorns of experience: financialisation in Iceland and Ireland," International Review of Applied Economics, Taylor & Francis Journals, vol. 30(6), pages 771-789, November.
    3. Han-Hsing Lee & Kuanyu Shih & Kehluh Wang, 2016. "Measuring sovereign credit risk using a structural model approach," Review of Quantitative Finance and Accounting, Springer, vol. 47(4), pages 1097-1128, November.
    4. Fridriksson, Kari S. & Zoega, Gylfi, 2012. "Advertising as a predictor of investment," Economics Letters, Elsevier, vol. 116(1), pages 60-66.
    5. Marco Pagano & Sam Langfield & Viral V. Acharya & Arnoud Boot & Markus K. Brunnermeier & Claudia Buch & Martin F. Hellwig & André Sapir & Ieke van den Burg, 2014. "Is Europe Overbanked?," Report of the Advisory Scientific Committee 4, European Systemic Risk Board.
    6. Thorvaldur Gylfason & Gylfi Zoega, 2017. "The Dutch Disease in Reverse: Iceland's Natural Experiment," CESifo Working Paper Series 6513, CESifo.
    7. Pagano, Marco, 2014. "Dealing with financial crises: How much help from research?," CFS Working Paper Series 481, Center for Financial Studies (CFS).
    8. Marco Pagano, 2013. "Finance: Economic Lifeblood or Toxin?," World Scientific Book Chapters, in: Viral V Acharya & Thorsten Beck & Douglas D Evanoff & George G Kaufman & Richard Portes (ed.), The Social Value of the Financial Sector Too Big to Fail or Just Too Big?, chapter 8, pages 109-146, World Scientific Publishing Co. Pte. Ltd..
    9. Akyildirim, Erdinc & Corbet, Shaen & Nguyen, Duc Khuong & Sensoy, Ahmet, 2020. "Regulatory changes and long-run relationships of the EMU sovereign debt markets: Implications for future policy framework," International Review of Law and Economics, Elsevier, vol. 63(C).
    10. Gylfi Zoega, 2009. "A double-edged sword. High interest rates in capital-control regimes," Economics wp47, Department of Economics, Central bank of Iceland.
    11. Védís Helga Eiríksdóttir & Unnur Anna Valdimarsdóttir & Tinna Laufey Ásgeirsdóttir & Arna Hauksdóttir & Sigrún Helga Lund & Ragnheiður Ingibjörg Bjarnadóttir & Sven Cnattingius & Helga Zoëga, 2015. "Pregnancy-Induced Hypertensive Disorders before and after a National Economic Collapse: A Population Based Cohort Study," PLOS ONE, Public Library of Science, vol. 10(9), pages 1-15, September.
    12. Raza, Hamid & Zoega, Gylfi & Kinsella, Stephen, 2018. "Capital inflows, crisis and recovery in small open economies," Finance Research Letters, Elsevier, vol. 27(C), pages 273-282.
    13. Hannes H. Gissurarson, 2018. "Icelandic Liberalism and Its Critics: A Rejoinder to Stefan Olafsson," Econ Journal Watch, Econ Journal Watch, vol. 15(3), pages 322–350-3, September.
    14. Hamid Raza & Gylfi Zoega, 2019. "Capital Flows and the Real Economy," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 47(1), pages 13-23, March.
    15. Bruno Martorano, 2014. "Is it possible to adjust ‘with a human face’? Differences in fiscal consolidation strategies between Hungary and Iceland," Papers inwopa719, Innocenti Working Papers.
    16. Gylfi Zoega, 2021. "Financial Crises and Current Account Surpluses," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 49(2), pages 159-172, June.
    17. Zoega, Gylfi, 2021. "The Effect of a Financial Crisis on Household Finances: A Case Study of Iceland's Financial Crisis," Journal of Financial Crises, Yale Program on Financial Stability (YPFS), vol. 3(4), pages 1-24, April.
    18. Gylfi Zoega, 2016. "Responding to Capital Flows in a Very Small Economy," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 44(2), pages 159-170, June.
    19. Baldursson, Fridrik Mar & Portes, Richard, 2013. "Gambling for resurrection in Iceland: the rise and fall of the banks," CEPR Discussion Papers 9664, C.E.P.R. Discussion Papers.
    20. Hauck, Achim & Vollmer, Uwe, 2013. "Emergency liquidity provision to public banks: Rules versus discretion," European Journal of Political Economy, Elsevier, vol. 32(C), pages 193-204.
    21. Bacchetta, Philippe, 2017. "The Sovereign Money Initiative in Switzerland: An Economic Assessment," CEPR Discussion Papers 12349, C.E.P.R. Discussion Papers.
    22. Gylfi Zoega, 2019. "Greece and the Western Financial Crisis," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 47(2), pages 113-126, June.
    23. Erik Larson, 2017. "Demand for credit, international financial legitimacy, and vulnerability to crises: Regulatory change and the social origins of Iceland's collapse," Regulation & Governance, John Wiley & Sons, vol. 11(2), pages 185-202, June.
    24. Maier, Ulf, 2016. "Multinational banks: Supranational resolution regimes and the importance of capital regulation," Discussion Papers in Economics 29630, University of Munich, Department of Economics.
    25. Helga Kristjánsdóttir & Stefanía Óskarsdóttir, 2021. "European FDI in Ireland and Iceland: Before and after the Financial Crisis," JRFM, MDPI, vol. 14(1), pages 1-12, January.
    26. Tinna Laufey Ásgeirsdóttir & Hope Corman & Kelly Noonan & Þórhildur Ólafsdóttir & Nancy E. Reichman, 2012. "Are Recessions Good for Your Health Behaviors? Impacts of the Economic Crisis in Iceland," NBER Working Papers 18233, National Bureau of Economic Research, Inc.
    27. Ásgeirsdóttir, Tinna Laufey & Corman, Hope & Noonan, Kelly & Ólafsdóttir, Þórhildur & Reichman, Nancy E., 2014. "Was the economic crisis of 2008 good for Icelanders? Impact on health behaviors," Economics & Human Biology, Elsevier, vol. 13(C), pages 1-19.
    28. Ágúst Arnórsson & Gylfi Zoega, 2015. "Do Interest Rates Affect the Exchange Rate under Capital Controls? An event study of Iceland’s experience with capital controls," Economics wp70, Department of Economics, Central bank of Iceland.
    29. Howden, David, 2013. "The Icelandic and Irish Banking Crises: Alternative Paths to a Credit-Induced Collapse," MPRA Paper 79602, University Library of Munich, Germany.
    30. Sigríður Benediktsdóttir & Gauti B. Eggertsson & Eggert Þórarinsson, 2017. "The Rise, the Fall, and the Resurrection of Iceland," NBER Working Papers 24005, National Bureau of Economic Research, Inc.
    31. Hamid Raza & Gylfi Zoega & Stephen Kinsella, 2015. "Capital controls, financial crisis and the investment saving nexus:Evidence from Iceland," Working Papers 201518, Geary Institute, University College Dublin.
    32. Már Gudmundsson, 2017. "Global Financial Integration And Central Bank Policies In Small, Open Economies," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 62(01), pages 135-146, March.
    33. Thorvaldur Gylfason & Gylfi Zoega, 2014. "The Dutch Disease in Reverse: Iceland’s Natural Experiment," OxCarre Working Papers 138, Oxford Centre for the Analysis of Resource Rich Economies, University of Oxford.

  15. Daníelsson, Jón, 2008. "Blame the models," Journal of Financial Stability, Elsevier, vol. 4(4), pages 321-328, December.

    Cited by:

    1. Rae, Andrew & Alexander, Rob & McDermid, John, 2014. "Fixing the cracks in the crystal ball: A maturity model for quantitative risk assessment," Reliability Engineering and System Safety, Elsevier, vol. 125(C), pages 67-81.
    2. Michael B. Gordy & Søren Willemann, 2010. "Constant proportion debt obligations: a post-mortem analysis of rating models," Finance and Economics Discussion Series 2010-05, Board of Governors of the Federal Reserve System (U.S.).
    3. Charilaos Mertzanis, 2013. "Risk Management Challenges after the Financial Crisis," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 42(3), pages 285-320, November.
    4. Borio, Claudio & Drehmann, Mathias & Tsatsaronis, Kostas, 2014. "Stress-testing macro stress testing: Does it live up to expectations?," Journal of Financial Stability, Elsevier, vol. 12(C), pages 3-15.
    5. San-Martín-Albizuri, Nerea & Rodríguez-Castellanos, Arturo, 2012. "Globalisation And The Unpredictability Of Crisis Episodes: An Empirical Analysis Of Country Risk Indexes / La Imprevisibilidad De Los Episodios De Crisis: Un Análisis Sobre Los Índices De Riesgo País ," Investigaciones Europeas de Dirección y Economía de la Empresa (IEDEE), Academia Europea de Dirección y Economía de la Empresa (AEDEM), vol. 18(2), pages 148-155.
    6. Danielsson, Jon & James, Kevin R. & Valenzuela, Marcela & Zer, Ilknur, 2015. "Can we prove a bank guilty of creating systemic risk? A minority report," LSE Research Online Documents on Economics 119462, London School of Economics and Political Science, LSE Library.
    7. Claudio Borio & Mathias Drehmann, 2009. "Towards an Operational Framework for Financial Stability: "Fuzzy" Measurement and its Consequences," Working Papers Central Bank of Chile 544, Central Bank of Chile.
    8. Mérő, Katalin, 2018. "A kockázatalapú bankszabályozás előretörése és visszaszorulása - az ösztönzési struktúrák szerepe [The emergence and decline of risk-based bank regulation the role of incentive structures]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(10), pages 981-1005.
    9. Kroeger, Frens, 2015. "The development, escalation and collapse of system trust: From the financial crisis to society at large," European Management Journal, Elsevier, vol. 33(6), pages 431-437.
    10. Liu, Tengdong & Zheng, Dazhi & Zheng, Suyan & Lu, Yang, 2023. "Herding in Chinese stock markets: Evidence from the dual-investor-group," Pacific-Basin Finance Journal, Elsevier, vol. 79(C).
    11. Katalin Mérő, 2021. "The ascent and descent of banks’ risk-based capital regulation," Journal of Banking Regulation, Palgrave Macmillan, vol. 22(4), pages 308-318, December.
    12. Jean-Paul Laurent & Hassan Omidi Firouzi, 2022. "Market Risk and Volatility Weighted Historical Simulation After Basel III," Working Papers hal-03679434, HAL.
    13. Jan Bruha & Evžen Kocenda, 2017. "Financial Stability in Europe: Banking and Sovereign Risk," CESifo Working Paper Series 6453, CESifo.
    14. Antje Berndt & Peter Ritchken & Zhiqiang Sun, 2010. "On Correlation and Default Clustering in Credit Markets," The Review of Financial Studies, Society for Financial Studies, vol. 23(7), pages 2680-2729, July.
    15. Filippo Curti & Ibrahim Ergen & Minh Le & Marco Migueis & Rob T. Stewart, 2016. "Benchmarking Operational Risk Models," Finance and Economics Discussion Series 2016-070, Board of Governors of the Federal Reserve System (U.S.).
    16. Mario Tonveronachi & Elisabetta Montanaro, 2009. "Some preliminary proposals for re-regulating financial systems," Department of Economics University of Siena 553, Department of Economics, University of Siena.
    17. Kaihua Deng & Dun Jia, 2018. "Backtesting Stress Tests: A Guide for M2 Forward Guidance," Annals of Economics and Finance, Society for AEF, vol. 19(2), pages 443-471, November.

  16. Jón Daníelsson & Jean-Pierre Zigrand, 2008. "Equilibrium asset pricing with systemic risk," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 35(2), pages 293-319, May.
    See citations under working paper version above.
  17. Jón Daníelsson & Bjørn Jorgensen & Casper Vries & Xiaoguang Yang, 2008. "Optimal portfolio allocation under the probabilistic VaR constraint and incentives for financial innovation," Annals of Finance, Springer, vol. 4(3), pages 345-367, July.

    Cited by:

    1. E. Birgin & L. Bueno & N. Krejić & J. Martínez, 2011. "Low order-value approach for solving VaR-constrained optimization problems," Journal of Global Optimization, Springer, vol. 51(4), pages 715-742, December.
    2. Ba Chu, 2012. "Large deviations estimation of the windfall and shortfall probabilities for optimal diversified portfolios," Annals of Finance, Springer, vol. 8(1), pages 97-122, February.
    3. Álvaro Porras & Concepción Domínguez & Juan Miguel Morales & Salvador Pineda, 2023. "Tight and Compact Sample Average Approximation for Joint Chance-Constrained Problems with Applications to Optimal Power Flow," INFORMS Journal on Computing, INFORMS, vol. 35(6), pages 1454-1469, November.
    4. Frank Milne, 2008. "Credit Crises, Risk Management Systems and Liquidity Modelling," Working Papers 1, John Deutsch Institute for the Study of Economic Policy.
    5. Hałaj, Grzegorz, 2013. "Optimal asset structure of a bank - bank reactions to stressful market conditions," Working Paper Series 1533, European Central Bank.
    6. Wu, Meng & Zhu, Stuart X. & Teunter, Ruud H., 2013. "The risk-averse newsvendor problem with random capacity," European Journal of Operational Research, Elsevier, vol. 231(2), pages 328-336.
    7. Fr'ed'eric Butin, 2020. "Generalized distance to a simplex and a new geometrical method for portfolio optimization," Papers 2009.08826, arXiv.org.
    8. Lwin, Khin T. & Qu, Rong & MacCarthy, Bart L., 2017. "Mean-VaR portfolio optimization: A nonparametric approach," European Journal of Operational Research, Elsevier, vol. 260(2), pages 751-766.
    9. Daníelsson, Jón & Jorgensen, Bjørn N. & Samorodnitsky, Gennady & Sarma, Mandira & de Vries, Casper G., 2013. "Fat tails, VaR and subadditivity," Journal of Econometrics, Elsevier, vol. 172(2), pages 283-291.

  18. Daníelsson, J. & Zigrand, JP., 2007. "Regulating hedge funds," Financial Stability Review, Banque de France, issue 10, pages 29-36, April.

    Cited by:

    1. V. Bouvatier & S. Rigot, 2013. "Pension funds' allocations to hedge funds: an empirical analysis of US and Canadian defined benefit plans," Applied Economics, Taylor & Francis Journals, vol. 45(26), pages 3701-3710, September.

  19. Danielsson, Jon & Zigrand, Jean-Pierre, 2006. "On time-scaling of risk and the square-root-of-time rule," Journal of Banking & Finance, Elsevier, vol. 30(10), pages 2701-2713, October.
    See citations under working paper version above.
  20. Danielsson, Jon & Jorgensen, Bjorn N. & Sarma, Mandira & de Vries, Casper G., 2006. "Comparing downside risk measures for heavy tailed distributions," Economics Letters, Elsevier, vol. 92(2), pages 202-208, August.
    See citations under working paper version above.
  21. Jón Daníelsson & Ryan Love, 2006. "Feedback trading This paper is also available at www.riskresearch.org," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 11(1), pages 35-53.

    Cited by:

    1. Rime, Dagfinn & Sarno, Lucio & Sojli, Elvira, 2010. "Exchange rate forecasting, order flow and macroeconomic information," Journal of International Economics, Elsevier, vol. 80(1), pages 72-88, January.

  22. Danielsson, Jon & Taylor, Ashley & Zigrand, Jean-Pierre, 2005. "Highwaymen or heroes: Should hedge funds be regulated?: A survey," Journal of Financial Stability, Elsevier, vol. 1(4), pages 522-543, October.

    Cited by:

    1. Adams, Zeno & Füss, Roland & Gropp, Reint, 2014. "Spillover Effects among Financial Institutions: A State-Dependent Sensitivity Value-at-Risk Approach," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 49(3), pages 575-598, June.
    2. Michel Aglietta & Sandra Rigot, 2008. "The regulation of hedge funds under the prism of the financial crisis," EconomiX Working Papers 2008-20, University of Paris Nanterre, EconomiX.
    3. Petr Musílek & Tomáš Jeřábek, 2015. "Hedgeové fondy a akciové trhy [Hedge Funds and Stock Markets]," Politická ekonomie, Prague University of Economics and Business, vol. 2015(1), pages 91-107.
    4. Dewandaru, Ginanjar & Masih, Rumi & Bacha, Obiyathulla I. & Masih, A. Mansur M., 2014. "The Role of Islamic Asset Classes in the Diversified Portfolios: Mean Variance Spanning Test," MPRA Paper 56857, University Library of Munich, Germany.
    5. Alexander, Gordon J. & Baptista, Alexandre M., 2009. "Stress testing by financial intermediaries: Implications for portfolio selection and asset pricing," Journal of Financial Intermediation, Elsevier, vol. 18(1), pages 65-92, January.
    6. Douglas da Rosa München & Herbert Kimura, 2020. "Regulatory Banking Leverage: what do you know?," Working Papers Series 540, Central Bank of Brazil, Research Department.
    7. King, Michael R. & Maier, Philipp, 2009. "Hedge funds and financial stability: Regulating prime brokers will mitigate systemic risks," Journal of Financial Stability, Elsevier, vol. 5(3), pages 283-297, September.
    8. Massoud, Nadia & Ullah, Saif & Scholnick, Barry, 2016. "Does it help firms to secretly pay for stock promoters?," Journal of Financial Stability, Elsevier, vol. 26(C), pages 45-61.

  23. Danielsson, Jon & Shin, Hyun Song & Zigrand, Jean-Pierre, 2004. "The impact of risk regulation on price dynamics," Journal of Banking & Finance, Elsevier, vol. 28(5), pages 1069-1087, May.
    See citations under working paper version above.
  24. Jón Daníelson, 2003. "On the Feasibility of Risk Based Regulation," CESifo Economic Studies, CESifo Group, vol. 49(2), pages 157-179.

    Cited by:

    1. Cotter, John & Blake, David & Dowd, Kevin, 2006. "Financial Risks and the Pension Protection Fund: Can it Survive Them?," MPRA Paper 3498, University Library of Munich, Germany.
    2. Júlia Király & Márton Nagy & Viktor E. Szabó, 2008. "Contagion and the beginning of the crisis – pre-Lehman period," MNB Occasional Papers 2008/76, Magyar Nemzeti Bank (Central Bank of Hungary).
    3. Katalin Mérő, 2021. "The ascent and descent of banks’ risk-based capital regulation," Journal of Banking Regulation, Palgrave Macmillan, vol. 22(4), pages 308-318, December.
    4. Király, Júlia & Nagy, Márton & Szabó E., Viktor, 2008. "Egy különleges eseménysorozat elemzése - a másodrendű jelzáloghitel-piaci válság és (hazai) következményei [Analysis of a special sequence of events - the crisis on the secondary mortgage market an," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(7), pages 573-621.
    5. Edgardo Barandiarán, 2003. "El Prestamista de Última Instancia en la Nueva Industria Bancaria," Latin American Journal of Economics-formerly Cuadernos de Economía, Instituto de Economía. Pontificia Universidad Católica de Chile., vol. 40(120), pages 337-358.
    6. Yilmaz, Ensar, 2009. "Capital accumulation and regulation," The Quarterly Review of Economics and Finance, Elsevier, vol. 49(3), pages 760-771, August.
    7. Keppo, Jussi & Kofman, Leonard & Meng, Xu, 2010. "Unintended consequences of the market risk requirement in banking regulation," Journal of Economic Dynamics and Control, Elsevier, vol. 34(10), pages 2192-2214, October.
    8. Power, Michael & Ashby, Simon & Palermo, Tommaso, 2013. "Risk culture in financial organisations: a research report," LSE Research Online Documents on Economics 67978, London School of Economics and Political Science, LSE Library.

  25. Danielsson, Jon & Jorgensen, Bjorn N. & de Vries, Casper G., 2002. "Incentives for effective risk management," Journal of Banking & Finance, Elsevier, vol. 26(7), pages 1407-1425, July.
    See citations under working paper version above.
  26. Danielsson, J. & Payne, R., 2002. "Real trading patterns and prices in spot foreign exchange markets," Journal of International Money and Finance, Elsevier, vol. 21(2), pages 203-222, April.
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  27. Danielsson, Jon, 2002. "The emperor has no clothes: Limits to risk modelling," Journal of Banking & Finance, Elsevier, vol. 26(7), pages 1273-1296, July.
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  28. Danielsson, J. & de Haan, L. & Peng, L. & de Vries, C. G., 2001. "Using a Bootstrap Method to Choose the Sample Fraction in Tail Index Estimation," Journal of Multivariate Analysis, Elsevier, vol. 76(2), pages 226-248, February.
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  29. Danielsson, Jon & Morimoto, Yuji, 2000. "Forecasting Extreme Financial Risk: A Critical Analysis of Practical Methods for the Japanese Market," Monetary and Economic Studies, Institute for Monetary and Economic Studies, Bank of Japan, vol. 18(2), pages 25-48, December.

    Cited by:

    1. Sofiane Aboura, 2014. "When the U.S. Stock Market Becomes Extreme?," Risks, MDPI, vol. 2(2), pages 1-15, May.
    2. Małgorzata Just & Krzysztof Echaust, 2021. "An Optimal Tail Selection in Risk Measurement," Risks, MDPI, vol. 9(4), pages 1-16, April.
    3. Luca Erzegovesi, 2002. "VaR and Liquidity Risk.Impact on Market Behaviour and Measurement Issues," Alea Tech Reports 014, Department of Computer and Management Sciences, University of Trento, Italy, revised 14 Jun 2008.
    4. Benjamin R. Auer & Benjamin Mögel, 2016. "How Accurate are Modern Value-at-Risk Estimators Derived from Extreme Value Theory?," CESifo Working Paper Series 6288, CESifo.
    5. Danielsson, Jon & James, Kevin R. & Valenzuela, Marcela & Zer, Ilknur, 2016. "Model risk of risk models," LSE Research Online Documents on Economics 66365, London School of Economics and Political Science, LSE Library.
    6. Huang, Dashan & Yu, Baimin & Fabozzi, Frank J. & Fukushima, Masao, 2009. "CAViaR-based forecast for oil price risk," Energy Economics, Elsevier, vol. 31(4), pages 511-518, July.
    7. Salhi, Khaled & Deaconu, Madalina & Lejay, Antoine & Champagnat, Nicolas & Navet, Nicolas, 2016. "Regime switching model for financial data: Empirical risk analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 461(C), pages 148-157.
    8. Bekiros, Stelios D. & Georgoutsos, Dimitris A., 2005. "Estimation of Value-at-Risk by extreme value and conventional methods: a comparative evaluation of their predictive performance," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 15(3), pages 209-228, July.
    9. Dolores Furió & Francisco J. Climent, 2013. "Extreme value theory versus traditional GARCH approaches applied to financial data: a comparative evaluation," Quantitative Finance, Taylor & Francis Journals, vol. 13(1), pages 45-63, January.
    10. Ramzi Nekhili & Jahangir Sultan, 2020. "Jump Driven Risk Model Performance in Cryptocurrency Market," IJFS, MDPI, vol. 8(2), pages 1-18, April.
    11. Gencay, Ramazan & Selcuk, Faruk & Ulugulyagci, Abdurrahman, 2003. "High volatility, thick tails and extreme value theory in value-at-risk estimation," Insurance: Mathematics and Economics, Elsevier, vol. 33(2), pages 337-356, October.
    12. Nishiyama, N., 2001. "One idea of portfolio risk control for absolute return strategy risk adjustments by signals from correlation behavior," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 301(1), pages 457-472.
    13. Benjamin Mögel & Benjamin R. Auer, 2018. "How accurate are modern Value-at-Risk estimators derived from extreme value theory?," Review of Quantitative Finance and Accounting, Springer, vol. 50(4), pages 979-1030, May.
    14. Sang Hoon Kang & Seong-Min Yoon, 2009. "Value-at-Risk Analysis for Asian Emerging Markets: Asymmetry and Fat Tails in Returns Innovation," Korean Economic Review, Korean Economic Association, vol. 25, pages 387-411.
    15. Araújo Santos, P. & Fraga Alves, M.I., 2012. "A new class of independence tests for interval forecasts evaluation," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3366-3380.
    16. Wagner, Niklas, 2005. "Autoregressive conditional tail behavior and results on Government bond yield spreads," International Review of Financial Analysis, Elsevier, vol. 14(2), pages 247-261.
    17. Degiannakis, Stavros & Floros, Christos & Dent, Pamela, 2013. "Forecasting value-at-risk and expected shortfall using fractionally integrated models of conditional volatility: International evidence," International Review of Financial Analysis, Elsevier, vol. 27(C), pages 21-33.
    18. Szymon Lis & Marcin Chlebus, 2021. "Comparison of the accuracy in VaR forecasting for commodities using different methods of combining forecasts," Working Papers 2021-11, Faculty of Economic Sciences, University of Warsaw.
    19. PICIU, Gabriela Cornelia, 2013. "Internal Rating – An Active Instrument In The Management Of Banking Risks. Case Study Bcr," Studii Financiare (Financial Studies), Centre of Financial and Monetary Research "Victor Slavescu", vol. 17(2), pages 21-30.
    20. Raymond Knott & Marco Polenghi, 2006. "Assessing central counterparty margin coverage on futures contracts using GARCH models," Bank of England working papers 287, Bank of England.
    21. Lee, Tae-Hwy & Saltoglu, Burak, 2002. "Assessing the risk forecasts for Japanese stock market," Japan and the World Economy, Elsevier, vol. 14(1), pages 63-85, January.

  30. Jon Danielsson & Casper G. De Vries, 2000. "Value-at-Risk and Extreme Returns," Annals of Economics and Statistics, GENES, issue 60, pages 239-270.
    See citations under working paper version above.
  31. Danielsson, Jon, 1998. "Multivariate stochastic volatility models: Estimation and a comparison with VGARCH models," Journal of Empirical Finance, Elsevier, vol. 5(2), pages 155-173, June.

    Cited by:

    1. Tsyplakov, Alexander, 2010. "Revealing the arcane: an introduction to the art of stochastic volatility models," MPRA Paper 25511, University Library of Munich, Germany.
    2. Christian M. Hafner & Helmut Herwartz, 2009. "Testing for linear vector autoregressive dynamics under multivariate generalized autoregressive heteroskedasticity," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 63(3), pages 294-323, August.
    3. K. Triantafyllopoulos, 2012. "Multi‐variate stochastic volatility modelling using Wishart autoregressive processes," Journal of Time Series Analysis, Wiley Blackwell, vol. 33(1), pages 48-60, January.
    4. Hafner, Christian M. & Herwartz, Helmut, 2006. "Volatility impulse responses for multivariate GARCH models: An exchange rate illustration," Journal of International Money and Finance, Elsevier, vol. 25(5), pages 719-740, August.
    5. Vêlayoudom Marimoutou & Manel Soury, 2015. "Energy Markets and CO2 Emissions: Analysis by Stochastic Copula Autoregressive Model," AMSE Working Papers 1520, Aix-Marseille School of Economics, France.
    6. Hafner, Christian & Manner H., 2012. "Dynamic stochastic copula models: Estimation, inference and applications," LIDAM Reprints ISBA 2012022, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    7. Rubio, Gonzalo & Gil-Bazo, Javier, 2001. "A nonparametric dimension test of the term structure," DEE - Working Papers. Business Economics. WB wb012106, Universidad Carlos III de Madrid. Departamento de Economía de la Empresa.
    8. Jerzy P. Rydlewski & Ma{l}gorzata Snarska, 2012. "On Geometric Ergodicity of Skewed - SVCHARME models," Papers 1209.1544, arXiv.org.
    9. Hang Qian, 2014. "A Flexible State Space Model And Its Applications," Journal of Time Series Analysis, Wiley Blackwell, vol. 35(2), pages 79-88, March.
    10. Bhar, Ramaprasad & Malliaris, A.G., 2011. "Oil prices and the impact of the financial crisis of 2007–2009," Energy Economics, Elsevier, vol. 33(6), pages 1049-1054.
    11. Mike K. P. So & C. Y. Choi, 2009. "A threshold factor multivariate stochastic volatility model," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 28(8), pages 712-735.
    12. Rossi, E. & Spazzini, F., 2010. "Model and distribution uncertainty in multivariate GARCH estimation: A Monte Carlo analysis," Computational Statistics & Data Analysis, Elsevier, vol. 54(11), pages 2786-2800, November.
    13. Liesenfeld, Roman & Richard, Jean-Francois, 2003. "Univariate and multivariate stochastic volatility models: estimation and diagnostics," Journal of Empirical Finance, Elsevier, vol. 10(4), pages 505-531, September.
    14. Asai, M. & Caporin, M. & McAleer, M.J., 2012. "Forecasting Value-at-Risk Using Block Structure Multivariate Stochastic Volatility Models," Econometric Institute Research Papers EI 2012-02, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    15. Bauwens, L. & Hafner C. & Laurent, S., 2011. "Volatility Models," LIDAM Discussion Papers ISBA 2011044, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
      • BAUWENS, Luc & HAFNER, Christian & LAURENT, Sébastien, 2011. "Volatility models," LIDAM Discussion Papers CORE 2011058, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
      • Bauwens, L. & Hafner, C. & Laurent, S., 2012. "Volatility Models," LIDAM Reprints ISBA 2012028, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    16. Manabu Asai & Michael McAleer, 2005. "Asymmetric Multivariate Stochastic Volatility," DEA Working Papers 12, Universitat de les Illes Balears, Departament d'Economía Aplicada.
    17. Carmen Broto & Esther Ruiz, 2004. "Estimation methods for stochastic volatility models: a survey," Journal of Economic Surveys, Wiley Blackwell, vol. 18(5), pages 613-649, December.
    18. Jun Yu & Renate Meyer, 2006. "Multivariate Stochastic Volatility Models: Bayesian Estimation and Model Comparison," Econometric Reviews, Taylor & Francis Journals, vol. 25(2-3), pages 361-384.
    19. Liesenfeld, Roman, 2001. "A generalized bivariate mixture model for stock price volatility and trading volume," Journal of Econometrics, Elsevier, vol. 104(1), pages 141-178, August.
    20. Anastasios G. Malliaris & Ramaprasad Bhar, 2011. "Dividends, Momentum, and Macroeconomic Variables as Determinants of the US Equity Premium Across Economic Regimes," Review of Behavioral Finance, Emerald Group Publishing Limited, vol. 3(1), pages 27-53, April.
    21. Alexander Tsyplakov, 2010. "Revealing the arcane: an introduction to the art of stochastic volatility models (in Russian)," Quantile, Quantile, issue 8, pages 69-122, July.
    22. Liesenfeld, Roman & Jung, Robert C., 1997. "Stochastic volatility models: Conditional normality versus heavy tailed distributions," Tübinger Diskussionsbeiträge 103, University of Tübingen, School of Business and Economics.
    23. M. Hakan Eratalay, 2016. "Estimation of Multivariate Stochastic Volatility Models: A Comparative Monte Carlo Study," International Econometric Review (IER), Econometric Research Association, vol. 8(2), pages 19-52, September.
    24. Dahl, Christian M. & Iglesias, Emma M., 2009. "Volatility spill-overs in commodity spot prices: New empirical results," Economic Modelling, Elsevier, vol. 26(3), pages 601-607, May.
    25. Hafner, C.M. & Herwartz, H., 2002. "Testing for vector autoregressive dynamics under heteroskedasticity," Econometric Institute Research Papers EI 2002-36, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    26. So, Mike K.P. & Choi, C.Y., 2008. "A multivariate threshold stochastic volatility model," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(3), pages 306-317.
    27. Siddhartha Chib & Yasuhiro Omori & Manabu Asai, 2007. "Multivariate stochastic volatility," CIRJE F-Series CIRJE-F-488, CIRJE, Faculty of Economics, University of Tokyo.
    28. So, Mike K.P. & Kwok, Susanna W.Y., 2006. "A multivariate long memory stochastic volatility model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 362(2), pages 450-464.
    29. McCausland, William & Miller, Shirley & Pelletier, Denis, 2021. "Multivariate stochastic volatility using the HESSIAN method," Econometrics and Statistics, Elsevier, vol. 17(C), pages 76-94.
    30. Antonis Demos, 2023. "Statistical Properties of Two Asymmetric Stochastic Volatility in Mean Models," DEOS Working Papers 2303, Athens University of Economics and Business.
    31. Vêlayoudom Marimoutou & Manel Soury, 2015. "Energy Markets and CO2 Emissions: Analysis by Stochastic Copula Autoregressive Model," Working Papers halshs-01148746, HAL.

  32. Daníelsson Jón, 1996. "Estimation of the Stochastic Volatility Models by Simulated Maximum Likelihood: C++ Code," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 1(1), pages 1-8, April.

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    1. George J. Jiang & Pieter J. van der Sluis, 1998. "Pricing Stock Options under Stochastic Volatility and Stochastic Interest Rates with Efficient Method of Moments Estimation," Tinbergen Institute Discussion Papers 98-067/4, Tinbergen Institute.

  33. Danielsson, Jon, 1994. "Bayesian Analysis of Stochastic Volatility Models: Comment," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(4), pages 393-395, October.

    Cited by:

    1. Danielsson, Jon, 1998. "Multivariate stochastic volatility models: Estimation and a comparison with VGARCH models," Journal of Empirical Finance, Elsevier, vol. 5(2), pages 155-173, June.
    2. Liesenfeld, Roman & Richard, Jean-Francois, 2003. "Univariate and multivariate stochastic volatility models: estimation and diagnostics," Journal of Empirical Finance, Elsevier, vol. 10(4), pages 505-531, September.
    3. Liesenfeld, Roman, 2001. "A generalized bivariate mixture model for stock price volatility and trading volume," Journal of Econometrics, Elsevier, vol. 104(1), pages 141-178, August.
    4. Liesenfeld, Roman & Jung, Robert C., 1997. "Stochastic volatility models: Conditional normality versus heavy tailed distributions," Tübinger Diskussionsbeiträge 103, University of Tübingen, School of Business and Economics.

  34. Danielsson, Jon, 1994. "Stochastic volatility in asset prices estimation with simulated maximum likelihood," Journal of Econometrics, Elsevier, vol. 64(1-2), pages 375-400.

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    2. Liesenfeld, Roman, 1997. "Trading volume and the short and long-run components of volatility," Tübinger Diskussionsbeiträge 102, University of Tübingen, School of Business and Economics.
    3. Bermudez, P. de Zea & Marín, J. Miguel & Rue, Håvard & Veiga, Helena, 2024. "Integrated nested Laplace approximations for threshold stochastic volatility models," Econometrics and Statistics, Elsevier, vol. 30(C), pages 15-35.
    4. Andersen, Torben G & Sorensen, Bent E, 1996. "GMM Estimation of a Stochastic Volatility Model: A Monte Carlo Study," Journal of Business & Economic Statistics, American Statistical Association, vol. 14(3), pages 328-352, July.
    5. Johansson, Anders C., 2010. "Asian sovereign debt and country risk," Pacific-Basin Finance Journal, Elsevier, vol. 18(4), pages 335-350, September.
    6. Asai, M. & McAleer, M.J. & Medeiros, M.C., 2010. "Asymmetry and Long Memory in Volatility Modelling," Econometric Institute Research Papers EI 2010-60, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    7. Andersen, Torben G. & Bollerslev, Tim & Christoffersen, Peter F. & Diebold, Francis X., 2006. "Volatility and Correlation Forecasting," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 1, chapter 15, pages 777-878, Elsevier.
    8. Gallant, A. Ronald & Hsieh, David & Tauchen, George, 1995. "Estimation of Stochastic Volatility Models with Diagnostics," Working Papers 95-36, Duke University, Department of Economics.
    9. Jérôme Detemple & Carlton Osakwe, 2000. "The Valuation of Volatility Options," Review of Finance, European Finance Association, vol. 4(1), pages 21-50.
    10. Jiang, George J., 1998. "Jump-diffusion model of exchange rate dynamics : estimation via indirect inference," Research Report 98A40, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    11. Durbin, J. & Koopman, S.J.M., 1998. "Time Series Analysis of Non-Gaussian Observations Based on State Space Models from Both Classical and Bayesian Perspectives," Other publications TiSEM 6338af09-6f2c-46d0-985b-d, Tilburg University, School of Economics and Management.
    12. Tsyplakov, Alexander, 2010. "Revealing the arcane: an introduction to the art of stochastic volatility models," MPRA Paper 25511, University Library of Munich, Germany.
    13. Beyer, Robert & Milivojevic, Lazar, 2021. "Dynamics and synchronization of global equilibrium interest rates," IMFS Working Paper Series 146, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
    14. Torben G. Andersen & Tim Bollerslev & Francis X. Diebold, 2002. "Parametric and Nonparametric Volatility Measurement," Center for Financial Institutions Working Papers 02-27, Wharton School Center for Financial Institutions, University of Pennsylvania.
    15. Jun Yu & Zhenlin Yang & Xibin Zhang, 2002. "A Class of Nonlinear Stochastic Volatility Models and Its Implications on Pricing Currency Options," Monash Econometrics and Business Statistics Working Papers 17/02, Monash University, Department of Econometrics and Business Statistics.
    16. Oleg Korenok & Stanislav Radchenko, 2005. "The smooth transition autoregressive target zone model with the Gaussian stochastic volatility and TGARCH error terms with applications," Working Papers 0505, VCU School of Business, Department of Economics.
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    22. Font, Begoña, 1998. "Modelización de series temporales financieras. Una recopilación," DES - Documentos de Trabajo. Estadística y Econometría. DS 3664, Universidad Carlos III de Madrid. Departamento de Estadística.
    23. Danielsson, Jon, 1998. "Multivariate stochastic volatility models: Estimation and a comparison with VGARCH models," Journal of Empirical Finance, Elsevier, vol. 5(2), pages 155-173, June.
    24. Wang, Joanna J.J. & Chan, Jennifer S.K. & Choy, S.T. Boris, 2011. "Stochastic volatility models with leverage and heavy-tailed distributions: A Bayesian approach using scale mixtures," Computational Statistics & Data Analysis, Elsevier, vol. 55(1), pages 852-862, January.
    25. Sassan Alizadeh & Michael W. Brandt & Francis X. Diebold, 2002. "Range‐Based Estimation of Stochastic Volatility Models," Journal of Finance, American Finance Association, vol. 57(3), pages 1047-1091, June.
    26. Casas, Isabel, 2019. "Exploring option pricing and hedging via volatility asymmetry," DES - Working Papers. Statistics and Econometrics. WS 28234, Universidad Carlos III de Madrid. Departamento de Estadística.
    27. Topaloglou, Nikolas & Tsionas, Mike G., 2020. "Stochastic dominance tests," Journal of Economic Dynamics and Control, Elsevier, vol. 112(C).
    28. Hafner, C. & Preminger, A., 2010. "Deciding between GARCH and Stochastic Volatility via Strong Decision Rules," LIDAM Reprints ISBA 2010032, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    29. Hafner, Christian & Manner H., 2012. "Dynamic stochastic copula models: Estimation, inference and applications," LIDAM Reprints ISBA 2012022, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    30. Manabu Asai & Michael McAleer & Marcelo C. Medeiros, 2009. "Asymmetry and Leverage in Realized Volatility," CARF F-Series CARF-F-167, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    31. Tsionas, Mike G., 2017. "A non-iterative (trivial) method for posterior inference in stochastic volatility models," Statistics & Probability Letters, Elsevier, vol. 126(C), pages 83-87.
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    34. Jerzy P. Rydlewski & Ma{l}gorzata Snarska, 2012. "On Geometric Ergodicity of Skewed - SVCHARME models," Papers 1209.1544, arXiv.org.
    35. Sascha Mergner & Jan Bulla, 2008. "Time-varying beta risk of Pan-European industry portfolios: A comparison of alternative modeling techniques," The European Journal of Finance, Taylor & Francis Journals, vol. 14(8), pages 771-802.
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    44. Isaiah Hull & Or Sattath & Eleni Diamanti & Göran Wendin, 2024. "Quantum Technology for Economists," Contributions to Economics, Springer, number 978-3-031-50780-9, January.
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    46. Berument, Hakan & Yalcin, Yeliz & Yildirim, Julide, 2009. "The effect of inflation uncertainty on inflation: Stochastic volatility in mean model within a dynamic framework," Economic Modelling, Elsevier, vol. 26(6), pages 1201-1207, November.
    47. Mengheng Li & Siem Jan (S.J.) Koopman, 2018. "Unobserved Components with Stochastic Volatility in U.S. Inflation: Estimation and Signal Extraction," Tinbergen Institute Discussion Papers 18-027/III, Tinbergen Institute.
    48. Lee, Eunhee & Han, Doo Bong & Ito, Shoichi & Rodolfo M. Nayga, Jr, 2015. "A common factor of stochastic volatilities between oil and commodity prices," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205771, Agricultural and Applied Economics Association.
    49. Hans J. Skaug & Jun Yu, 2007. "Automated Likelihood Based Inference for Stochastic Volatility Models," Working Papers CoFie-01-2007, Singapore Management University, Sim Kee Boon Institute for Financial Economics.
    50. R. Anton Braun & Huiyu Li & John Stachurski, 2011. "Generalized Look-Ahead Methods for Computing Stationary Densities," ANU Working Papers in Economics and Econometrics 2011-558, Australian National University, College of Business and Economics, School of Economics.
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    34. Dufour, Jean-Marie & Valéry, Pascale, 2009. "Exact and asymptotic tests for possibly non-regular hypotheses on stochastic volatility models," Journal of Econometrics, Elsevier, vol. 150(2), pages 193-206, June.
    35. Norman Swanson & Oleg Korenok, 2006. "How Sticky Is Sticky Enough? A Distributional and Impulse Response Analysis of New Keynesian DSGE Models. Extended Working Paper Version," Departmental Working Papers 200612, Rutgers University, Department of Economics.
    36. Siem Jan Koopman & Andre Lucas & Marcel Scharth, 2011. "Numerically Accelerated Importance Sampling for Nonlinear Non-Gaussian State Space Models," Tinbergen Institute Discussion Papers 11-057/4, Tinbergen Institute, revised 27 Jan 2012.
    37. G. Dhaene, 2004. "Indirect Inference for Stochastic Volatility Models via the Log-Squared Observations," Review of Business and Economic Literature, KU Leuven, Faculty of Economics and Business (FEB), Review of Business and Economic Literature, vol. 0(3), pages 421-440.
    38. Pitt, Michael K., 2002. "Smooth particle filters for likelihood evaluation and maximisation," Economic Research Papers 269464, University of Warwick - Department of Economics.
    39. Wang, Joanna J.J., 2012. "On asymmetric generalised t stochastic volatility models," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 82(11), pages 2079-2095.
    40. Carmen Broto & Esther Ruiz, 2004. "Estimation methods for stochastic volatility models: a survey," Journal of Economic Surveys, Wiley Blackwell, vol. 18(5), pages 613-649, December.
    41. Juan Hoyo & Guillermo Llorente & Carlos Rivero, 2020. "A Testing Procedure for Constant Parameters in Stochastic Volatility Models," Computational Economics, Springer;Society for Computational Economics, vol. 56(1), pages 163-186, June.
    42. Adam Clements & Stan Hurn & Scott White, 2006. "Estimating Stochastic Volatility Models Using a Discrete Non-linear Filter. Working paper #3," NCER Working Paper Series 3, National Centre for Econometric Research.
    43. Romeo, Charles J, 1999. "Conducting Inference in Semiparametric Duration Models under Inequality Restrictions on the Shape of the Hazard Implied by Job Search Theory," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(6), pages 587-605, Nov.-Dec..
    44. Roberto Casarin & Domenico Sartore, 2007. "Matrix-State Particle Filter for Wishart Stochastic Volatility Processes," Working Papers 2007_30, Department of Economics, University of Venice "Ca' Foscari".
    45. Kleppe, Tore Selland & Skaug, Hans J., 2008. "Simulated maximum likelihood for general stochastic volatility models: a change of variable approach," MPRA Paper 12022, University Library of Munich, Germany.
    46. Koopman, Siem Jan & Shephard, Neil & Creal, Drew, 2009. "Testing the assumptions behind importance sampling," Journal of Econometrics, Elsevier, vol. 149(1), pages 2-11, April.
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Chapters

  1. Jon Danielsson & Hyun Song Shin & Jean-Pierre Zigrand, 2012. "Endogenous and Systemic Risk," NBER Chapters, in: Quantifying Systemic Risk, pages 73-94, National Bureau of Economic Research, Inc.

    Cited by:

    1. Kuzubaş, Tolga Umut & Saltoğlu, Burak & Sever, Can, 2016. "Systemic risk and heterogeneous leverage in banking networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 462(C), pages 358-375.
    2. Adrian, Tobias & Vogt, Erik & Stackman, Daniel, 2019. "Global Price of Risk and Stabilization Policies," CEPR Discussion Papers 13435, C.E.P.R. Discussion Papers.
    3. Louis Raffestin, 2016. "Foreign exchange investment rules and endogenous currency crashes," Working Papers hal-01277113, HAL.
    4. Mazzarisi, Piero & Lillo, Fabrizio & Marmi, Stefano, 2019. "When panic makes you blind: A chaotic route to systemic risk," Journal of Economic Dynamics and Control, Elsevier, vol. 100(C), pages 176-199.
    5. Choi, So Eun & Jang, Hyun Jin & Lee, Kyungsub & Zheng, Harry, 2021. "Optimal market-Making strategies under synchronised order arrivals with deep neural networks," Journal of Economic Dynamics and Control, Elsevier, vol. 125(C).
    6. Rick Bookstaber & Mark Paddrik & Brian Tivnan, 2014. "An Agent-based Model for Financial Vulnerability," Working Papers 14-05, Office of Financial Research, US Department of the Treasury, revised Sep 2014.
    7. Mazzarisi, Piero & Zaoli, Silvia & Campajola, Carlo & Lillo, Fabrizio, 2020. "Tail Granger causalities and where to find them: Extreme risk spillovers vs spurious linkages," Journal of Economic Dynamics and Control, Elsevier, vol. 121(C).
    8. Battiston Stefano & Caldarelli Guido & D’Errico Marco & Gurciullo Stefano, 2016. "Leveraging the network: A stress-test framework based on DebtRank," Statistics & Risk Modeling, De Gruyter, vol. 33(3-4), pages 117-138, December.
    9. Morell, Joe & Rice, Jonathan & Shaw, Frances, 2022. "A Framework for Macroprudential Stress Testing," Research Technical Papers 7/RT/22, Central Bank of Ireland.
    10. Hyun Jin Jang & Kiseop Lee & Kyungsub Lee, 2020. "Systemic Risk in Market Microstructure of Crude Oil and Gasoline Futures Prices: A Hawkes Flocking Model Approach," Papers 2012.04181, arXiv.org.
    11. Cronin, David & Dunne, Peter G., 2019. "How effective are sovereign bond-backed securities as a spillover prevention device?," Journal of International Money and Finance, Elsevier, vol. 96(C), pages 49-66.
    12. Piero Mazzarisi & Fabrizio Lillo & Stefano Marmi, 2018. "When panic makes you blind: a chaotic route to systemic risk," Papers 1805.00785, arXiv.org.
    13. Van Son Lai & Xiaoxia Ye, 2020. "How Does the Stock Market View Bank Regulatory Capital Forbearance Policies?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 52(8), pages 1873-1907, December.
    14. Piero Mazzarisi & Silvia Zaoli & Carlo Campajola & Fabrizio Lillo, 2020. "Tail Granger causalities and where to find them: extreme risk spillovers vs. spurious linkages," Papers 2005.01160, arXiv.org, revised May 2021.
    15. Clancy, Daragh & Dunne, Peter G. & Filiani, Pasquale, 2019. "Liquidity and tail-risk interdependencies in the euro area sovereign bond market," Research Technical Papers 11/RT/19, Central Bank of Ireland.
    16. Usman, Muhammad & Umar, Zaghum & Choi, Sun-Yong & Teplova, Tamara, 2024. "Quantifying endogenous and exogenous shocks to financial sector systemic risk: A comparison of GFC and COVID-19," The Quarterly Review of Economics and Finance, Elsevier, vol. 94(C), pages 281-293.
    17. Fuertes, Ana-Maria & Kalotychou, Elena & Saka, Orkun, 2014. "ECB Policy and Eurozone Fragility: Was De Grauwe Right?," CEPS Papers 9414, Centre for European Policy Studies.

Books

  1. Franklin Allen & John Armour & Morten Balling & Anthony Belchambers & Jon Danielsson & Ernest Gnan & Charles Grant & Piers Haben & Patricia Jackson & Robert Macrae & Eva Micheler & Menno Middeldorp & , 2017. "Brexit and the implications for financial services," SUERF Studies, SUERF - The European Money and Finance Forum, number 2017/1 edited by Patricia Jackson, May.

    Cited by:

    1. Itai Agur & Carola Binder & Cristina Bodea & Claudio Borio & Italo Colantone & Ana Carolina Garriga & Federico Favaretto & Stefan Gerlach & Ernest Gnan & Ryszard Kokoszczynski & Masaaki Higashijima & , 2020. "Populism, Economic Policies and Central Banking," SUERF Studies, SUERF - The European Money and Finance Forum, number 2020/1 edited by Ernest Gnan and Donato Masciandaro, May.
    2. Itai Agur & Mario Bergara & Michael D. Bordo & Alessandra Cillo & Walter Engert & Santiago Fernandez de Lis & Ben S.C. Fung & Ernest Gnan & Andrew T. Levin & Dirk Niepelt & Ruth Judson & Donato Mascia, 2018. "Do We Need Central Bank Digital Currency? Economics, Technology and Institutions," SUERF Studies, SUERF - The European Money and Finance Forum, number 2018/2 edited by Ernest Gnan and Donato Masciandaro, May.
    3. Kudert, Stephan & Hagemann, Tobias & Kahlenberg, Christian, 2017. "Die Internationalisierung der Unternehmerfamilie: Reformvorschläge für die Wegzugsbesteuerung," Studien, Stiftung Familienunternehmen / Foundation for Family Businesses, number 250028.

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