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Eric Jondeau

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. Eric Jondeau & Grégory Levieuge & Jean-Guillaume Sahuc & Gauthier Vermandel, 2023. "Environmental Subsidies to Mitigate Net-Zero Transition Costs," Working papers 910, Banque de France.

    Cited by:

    1. Caterina Seghini & Stéphane Dees, 2024. "The Green Transition and Public Finances," Working papers 949, Banque de France.
    2. Ghassane Benmir & Ivan Jaccard & Gauthier Vermandel, 2023. "Optimal monetary policy in an estimated SIR model," Post-Print hal-04502674, HAL.

  2. Gong Cheng & Eric Jondeau & Benoit Mojon & Dimitri Vayanos, 2023. "The impact of green investors on stock prices," BIS Working Papers 1127, Bank for International Settlements.

    Cited by:

    1. Niels Joachim Gormsen & Kilian Huber & Sangmin Simon Oh, 2024. "Climate Capitalists," NBER Working Papers 32933, National Bureau of Economic Research, Inc.

  3. Gong Cheng & Eric Jondeau & Benoit Mojon, 2022. "Building portfolios of sovereign securities with decreasing carbon footprints," BIS Working Papers 1038, Bank for International Settlements.

    Cited by:

    1. Gong Cheng & Torsten Ehlers & Frank Packer & Yanzhe Xiao, 2024. "Sovereign Green Bonds: A Catalyst for Sustainable Debt Market Development?," IMF Working Papers 2024/120, International Monetary Fund.
    2. Gong Cheng & Torsten Ehlers & Frank Packer, 2022. "Sovereigns and sustainable bonds: challenges and new options," BIS Quarterly Review, Bank for International Settlements, September.

  4. Eric Jondeau & Gregory Levieuge & Jean-Guillaume Sahuc & Gauthier Vermandel, 2022. "Environmental Subsidies to Mitigate Transition Risk," Swiss Finance Institute Research Paper Series 22-45, Swiss Finance Institute.

    Cited by:

    1. Finkelstein Shapiro, Alan & Metcalf, Gilbert E., 2023. "The macroeconomic effects of a carbon tax to meet the U.S. Paris agreement target: The role of firm creation and technology adoption," Journal of Public Economics, Elsevier, vol. 218(C).
    2. Alan Finkelstein Shapiro & Victoria Nuguer, 2024. "Climate policies, labour markets and macroeconomic outcomes in emerging economies," BIS Working Papers 1204, Bank for International Settlements.

  5. Torsten Ehlers & Ulrike Elsenhuber & Anandakumar Jegarasasingam & Eric Jondeau, 2022. "Deconstructing ESG scores: how to invest with your own criteria," BIS Working Papers 1008, Bank for International Settlements.

    Cited by:

    1. Mariusz Zieliński & Małgorzata Adamska, 2022. "ESG Assessment from the Perspective of the Management Board and Trade Unions on the Example of the Opole Power Plant," Energies, MDPI, vol. 15(21), pages 1-21, October.
    2. Fabrizio Cumo & Federica Giustini & Elisa Pennacchia & Carlo Romeo, 2022. "The “D2P” Approach: Digitalisation, Production and Performance in the Standardised Sustainable Deep Renovation of Buildings," Energies, MDPI, vol. 15(18), pages 1-28, September.
    3. López-Cabarcos, M. Ángeles & Piñeiro-Chousa, Juan & Quiñoá-Piñeiro, Lara & López-Pérez, M. Luisa, 2024. "Water and waste management strategies as drivers of the financial performance of food companies," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    4. Sirin, Selahattin Murat & Yilmaz, Berna N., 2024. "Energy transition and non-energy firms’ financial performance: Do markets value capability-based energy transition strategies?," Energy Economics, Elsevier, vol. 136(C).
    5. M. Ángeles López‐Cabarcos & Helena Santos‐Rodrigues & Lara Quiñoá‐Piñeiro & Juan Piñeiro‐Chousa, 2023. "How to explain stock returns of utility companies from an environmental, social and corporate governance perspective," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 30(5), pages 2278-2291, September.

  6. Eric Jondeau & Jean-Guillaume Sahuc, 2022. "Bank capital shortfall in the euro area," Post-Print hal-03771767, HAL.

    Cited by:

    1. Aurélien Espic & Lisa Kerdelhué & Julien Matheron, 2024. "Capital Requirements in Light of Monetary Tightening," Working papers 947, Banque de France.

  7. Valérie Chavez-Demoulin & Eric Jondeau & Linda Mhalla, 2021. "Climate-Related Disasters and the Death Toll," Swiss Finance Institute Research Paper Series 21-63, Swiss Finance Institute.

    Cited by:

    1. May Haggag & Eman Rezk & Wael El-Dakhakhni, 2023. "Machine learning prediction of climate-induced disaster injuries," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 116(3), pages 3645-3667, April.

  8. Fabio Alessandrini & David Baptista Balula & Eric Jondeau, 2021. "ESG Screening in the Fixed-Income Universe," Swiss Finance Institute Research Paper Series 21-77, Swiss Finance Institute.

    Cited by:

    1. Silva, Florinda & Ferreira, André & Cortez, Maria Céu, 2024. "The performance of green bond portfolios under climate uncertainty: A comparative analysis with conventional and black bond portfolios," Research in International Business and Finance, Elsevier, vol. 70(PA).

  9. Eric Jondeau & Benoit Mojon & Cyril Monnet, 2021. "Greening (runnable) brown assets with a liquidity backstop," BIS Working Papers 929, Bank for International Settlements.

    Cited by:

    1. Tristan Jourde & Kolotcholoma Kone, 2023. "The exposure of French investment funds to transition climate risks [L’exposition des fonds d’investissement français aux risques climatiques de transition]," Bulletin de la Banque de France, Banque de France, issue 248.
    2. Ricardo Crisostomo, 2022. "Measuring Transition Risk in Investment Funds," Papers 2210.15329, arXiv.org, revised Dec 2022.
    3. Christian Pfister & Natacha Valla, 2021. "Financial Stability Is Easier to Green Than Monetary Policy," Intereconomics: Review of European Economic Policy, Springer;ZBW - Leibniz Information Centre for Economics;Centre for European Policy Studies (CEPS), vol. 56(3), pages 154-159, May.
    4. Ho, Kelvin & Wong, Andrew, 2023. "Effect of climate-related risk on the costs of bank loans: Evidence from syndicated loan markets in emerging economies," Emerging Markets Review, Elsevier, vol. 55(C).

  10. Eric Jondeau & Benoit Mojon & Luiz Awazu Pereira da Silva, 2021. "Building benchmarks portfolios with decreasing carbon footprints," BIS Working Papers 985, Bank for International Settlements.

    Cited by:

    1. Gong Cheng & Eric Jondeau & Benoit Mojon, 2022. "Building portfolios of sovereign securities with decreasing carbon footprints," BIS Working Papers 1038, Bank for International Settlements.
    2. Ricardo Crisostomo, 2022. "Measuring Transition Risk in Investment Funds," Papers 2210.15329, arXiv.org, revised Dec 2022.
    3. Anquetin, Théophile & Coqueret, Guillaume & Tavin, Bertrand & Welgryn, Lou, 2022. "Scopes of carbon emissions and their impact on green portfolios," Economic Modelling, Elsevier, vol. 115(C).

  11. Eric Jondeau & Benoit Mojon & Jean-Guillaume Sahuc, 2020. "Bank Funding Cost and Liquidity Supply Regimes," BIS Working Papers 854, Bank for International Settlements.

    Cited by:

    1. Martín Fuentes, Natalia & Di Vito, Luca & Leite, João Matos, 2023. "Understanding the profitability gap between euro area and US global systemically important banks," Occasional Paper Series 327, European Central Bank.
    2. Costola, Michele & Iacopini, Matteo, 2023. "Measuring sovereign bond fragmentation in the Eurozone," Finance Research Letters, Elsevier, vol. 51(C).

  12. Fabio Alessandrini & Eric Jondeau, 2019. "ESG Investing: From Sin Stocks to Smart Beta," Swiss Finance Institute Research Paper Series 19-16, Swiss Finance Institute, revised Mar 2019.

    Cited by:

    1. Federica Ielasi & Paolo Ceccherini & Pietro Zito, 2020. "Integrating ESG Analysis into Smart Beta Strategies," Sustainability, MDPI, vol. 12(22), pages 1-22, November.
    2. Banerjee, Rhythm, 2024. "Shifting Tides: the Effect of Institutional Divestments on the Global Market," MPRA Paper 121922, University Library of Munich, Germany, revised 11 Apr 2024.

  13. E. Jondeau & J-G. Sahuc, 2018. "A General Equilibrium Appraisal of Capital Shortfall," Working papers 668, Banque de France.

    Cited by:

    1. Hibiki Ichiue & Jean-Guillaume Sahuc & Yasin Mimir & Jolan Mohimont & Kalin Nikolov & Olivier de Bandt & Sigrid Roehrs & Valério Scalone & Michael Straughan & Bora Durdu, 2022. "Assessing the Impact of Basel III: Evidence from Structural Macroeconomic Models," Working Papers hal-04159816, HAL.

  14. Nataliya Gerasimova & Eric Jondeau, 2018. "Strategic Interaction between Hedge Funds and Prime Brokers," Swiss Finance Institute Research Paper Series 18-54, Swiss Finance Institute.

    Cited by:

    1. Boyarchenko, Nina & Eisenbach, Thomas & Gupta, Pooja & Shachar, Or & Van Tassel, Peter, 2020. "Bank-Intermediated Arbitrage," CEPR Discussion Papers 15097, C.E.P.R. Discussion Papers.

  15. Eric Jondeau & Michael Rockinger, 2016. "Forecasting Financial Returns with a Structural Macroeconomic Model," Swiss Finance Institute Research Paper Series 16-13, Swiss Finance Institute.

    Cited by:

    1. Hasler, Michael & Khapko, Mariana & Marfè, Roberto, 2019. "Should investors learn about the timing of equity risk?," Journal of Financial Economics, Elsevier, vol. 132(3), pages 182-204.

  16. Eric JONDEAU & Amir KHALILZADEH, 2015. "Collateralization, Leverage, and Stressed Expected Loss," Swiss Finance Institute Research Paper Series 15-24, Swiss Finance Institute, revised Aug 2015.

    Cited by:

    1. Dr. Martin Indergand & Eric Jondeau & Dr. Andreas Fuster, 2022. "Measuring and stress-testing market-implied bank capital," Working Papers 2022-02, Swiss National Bank.
    2. Jondeau, Eric & Khalilzadeh, Amir, 2022. "Predicting the stressed expected loss of large U.S. banks," Journal of Banking & Finance, Elsevier, vol. 134(C).

  17. Eric JONDEAU & Qunzi ZHANG, 2015. "Average Skewness Matters!," Swiss Finance Institute Research Paper Series 15-47, Swiss Finance Institute.

    Cited by:

    1. Stein, Roberto, 2024. "More than meets the eye: On the relationship between skewness and expected returns," Finance Research Letters, Elsevier, vol. 60(C).
    2. Markus Dertwinkel-Kalt & Johannes Kasinger & Dmitrij Schneider, 2024. "Skewness Preferences: Evidence from Online Poker," CESifo Working Paper Series 10977, CESifo.
    3. Dai, Yingtong & Harris, Richard D.F., 2023. "Average tail risk and aggregate stock returns," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 82(C).
    4. Angelidis, Timotheos & Michairinas, Athanasios & Sakkas, Athanasios, 2024. "World ESG performance and economic activity," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 93(C).
    5. Jian, Zhihong & Li, Xupei, 2021. "Skewness-based market integration: A systemic risk measure across international equity markets," International Review of Financial Analysis, Elsevier, vol. 74(C).
    6. Kothari, Pratik & O’Doherty, Michael S., 2023. "Job postings and aggregate stock returns," Journal of Financial Markets, Elsevier, vol. 64(C).
    7. Li, Wenhui & Zhu, Qi & Wen, Fenghua & Nor, Normaziah Mohd, 2022. "The evolution of day-of-the-week and the implications in crude oil market," Energy Economics, Elsevier, vol. 106(C).
    8. Xu Chong Bo & Jianlei Han & Yin Liao & Jing Shi & Wu Yan, 2021. "Do outliers matter? The predictive ability of average skewness on market returns using robust skewness measures," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(3), pages 3977-4006, September.
    9. Zhang, Zhikai & He, Mengxi & Zhang, Yaojie & Wang, Yudong, 2021. "Realized skewness and the short-term predictability for aggregate stock market volatility," Economic Modelling, Elsevier, vol. 103(C).
    10. Serna, Gregorio, 2023. "On the predictive ability of conditional market skewness," The Quarterly Review of Economics and Finance, Elsevier, vol. 91(C), pages 186-191.
    11. Jiang, Yuexiang & Fu, Tao & Long, Huaigang & Zaremba, Adam & Zhou, Wenyu, 2022. "Real estate climate index and aggregate stock returns: Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 75(C).
    12. Jungmu Kim & Yuen Jung Park, 2020. "Individual Investors, Average Skewness, and Market Returns," Sustainability, MDPI, vol. 12(20), pages 1-14, October.
    13. Ahmed, Walid M.A. & Al Mafrachi, Mustafa, 2021. "Do higher-order realized moments matter for cryptocurrency returns?," International Review of Economics & Finance, Elsevier, vol. 72(C), pages 483-499.
    14. Masud Alam, 2024. "Volatility in U.S. Housing Sector and the REIT Equity Return," The Journal of Real Estate Finance and Economics, Springer, vol. 69(3), pages 505-544, October.
    15. Luo, Di & Mishra, Tapas & Yarovaya, Larisa & Zhang, Zhuang, 2021. "Investing during a Fintech Revolution: Ambiguity and return risk in cryptocurrencies," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 73(C).
    16. Annaert, Jan & De Ceuster, Marc & Van Cappellen, Jef, 2023. "Can average skewness really predict financial returns? The euro area case," Finance Research Letters, Elsevier, vol. 52(C).
    17. Yigit Atilgan & K. Ozgur Demirtas & A. Doruk Gunaydin & Imra Kirli, 2023. "Average skewness in global equity markets," International Review of Finance, International Review of Finance Ltd., vol. 23(2), pages 245-271, June.
    18. Masud Alam, 2021. "Time Varying Risk in U.S. Housing Sector and Real Estate Investment Trusts Equity Return," Papers 2107.10455, arXiv.org.
    19. Xiaolan Jia & Xinfeng Ruan & Jin E. Zhang, 2021. "The implied volatility smirk of commodity options," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(1), pages 72-104, January.
    20. Yuan Liao & Xinjie Ma & Andreas Neuhierl & Zhentao Shi, 2023. "Economic Forecasts Using Many Noises," Papers 2312.05593, arXiv.org, revised Dec 2023.
    21. Li, Yifan, 2020. "Nearly unbiased estimation of sample skewness," Economics Letters, Elsevier, vol. 192(C).
    22. Kingstone Nyakurukwa & Yudhvir Seetharam, 2023. "Higher moment connectedness of cryptocurrencies: a time-frequency approach," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 47(3), pages 793-814, September.
    23. Li, Xiyang & Chen, Xiaoyue & Li, Bin & Singh, Tarlok & Shi, Kan, 2022. "Predictability of stock market returns: New evidence from developed and developing countries," Global Finance Journal, Elsevier, vol. 54(C).
    24. Jozef Barunik & Josef Kurka, 2021. "Risks of heterogeneously persistent higher moments," Papers 2104.04264, arXiv.org, revised Mar 2024.
    25. Wei Guo & Xinfeng Ruan & Sebastian A. Gehricke & Jin E. Zhang, 2023. "Term spreads of implied volatility smirk and variance risk premium," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(7), pages 829-857, July.
    26. Giuseppe Arbia & Riccardo Bramante & Silvia Facchinetti, 2020. "Least Quartic Regression Criterion to Evaluate Systematic Risk in the Presence of Co-Skewness and Co-Kurtosis," Risks, MDPI, vol. 8(3), pages 1-14, September.
    27. Chen, Juan & Ma, Feng & Qiu, Xuemei & Li, Tao, 2023. "The role of categorical EPU indices in predicting stock-market returns," International Review of Economics & Finance, Elsevier, vol. 87(C), pages 365-378.
    28. Dong, Liang & Kot, Hung Wan & Lam, Keith S.K. & Liu, Ming, 2022. "Co-skewness and expected return: Evidence from international stock markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 76(C).
    29. Malinská, Barbora, 2022. "Time-varying pricing of risk in sovereign bond futures returns," Finance Research Letters, Elsevier, vol. 47(PA).
    30. Qin, Yiyi & Cai, Jun & Wang, James J.D. & Webb, Robert I., 2023. "Gold-mining stocks, risk factors, and tail patterns," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 88(C).
    31. Dong, Liang & Dai, Yiqing & Haque, Tariq & Kot, Hung Wan & Yamada, Takeshi, 2022. "Coskewness and reversal of momentum returns: The US and international evidence," Journal of Empirical Finance, Elsevier, vol. 69(C), pages 241-264.
    32. Jozef Barunik & Matej Nevrla, 2022. "Common Idiosyncratic Quantile Risk," Papers 2208.14267, arXiv.org, revised Nov 2024.
    33. Robert W. Faff, 2019. "Adopting a Structured Abstract Design to More Effectively Catch Reader Attention: An Application of the Pitching Research® Framework," Capital Markets Review, Malaysian Finance Association, vol. 27(2), pages 1-13.
    34. Yabei Zhu & Xingguo Luo & Qi Xu, 2023. "Industry variance risk premium, cross‐industry correlation, and expected returns," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(1), pages 3-32, January.
    35. Eric Jondeau & Xuewu Wang & Zhipeng Yan & Qunzi Zhang, 2020. "Skewness and index futures return," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(11), pages 1648-1664, November.
    36. Dai, Yiming & Jiang, Yuexiang & Long, Huaigang & Wang, Hui & Zaremba, Adam, 2023. "Does realized skewness predict the cross-section of Chinese stock returns?," Finance Research Letters, Elsevier, vol. 58(PB).
    37. Lin, Qi & Lin, Xi, 2021. "Cash conversion cycle and aggregate stock returns," Journal of Financial Markets, Elsevier, vol. 52(C).
    38. Zhen, Fang, 2020. "Asymmetric signals and skewness," Economic Modelling, Elsevier, vol. 90(C), pages 32-42.
    39. Atance, David & Serna, Gregorio, 2024. "Time-varying expected returns, conditional skewness and Bitcoin return predictability," The Quarterly Review of Economics and Finance, Elsevier, vol. 96(C).
    40. Liu, Yiye & Han, Liyan & Wu, You, 2022. "Can skewness predict CNY-CNH spread?," Finance Research Letters, Elsevier, vol. 46(PB).
    41. Huang, Dashan & Li, Jiangyuan & Wang, Liyao, 2021. "Are disagreements agreeable? Evidence from information aggregation," Journal of Financial Economics, Elsevier, vol. 141(1), pages 83-101.
    42. Li, Mingyi & Onishchenko, Olena & Zhao, Jing, 2020. "Does average skewness matter? Evidence from the Taiwanese stock market," Pacific-Basin Finance Journal, Elsevier, vol. 62(C).
    43. Li, Xiaowei & Wu, Zhengyu & Zhang, Hao & Zhang, Lu, 2024. "Risk-neutral skewness and stock market returns: A time-series analysis," The North American Journal of Economics and Finance, Elsevier, vol. 70(C).
    44. Carnero, M. Angeles & León, Angel & Ñíguez, Trino-Manuel, 2023. "Skewness in energy returns: estimation, testing and retain-->implications for tail risk," The Quarterly Review of Economics and Finance, Elsevier, vol. 90(C), pages 178-189.
    45. Jiang, Zhengyun & Zhou, Xin, 2024. "Trading activity, risk aversion, and risk neutral skewness: Evidence from SSE 50ETF option," International Review of Economics & Finance, Elsevier, vol. 91(C), pages 378-399.
    46. Dertwinkel-Kalt, Markus & Kasinger, Johannes & Schneider, Dmitrij, 2022. "Skewness preferences: Evidence from online poker," SAFE Working Paper Series 351, Leibniz Institute for Financial Research SAFE.

  18. Eric JONDEAU & Qunzi ZHANG, 2014. "Asymmetric Beta Comovement and Systematic Downside Risk," Swiss Finance Institute Research Paper Series 14-59, Swiss Finance Institute.

    Cited by:

    1. Shen, Yiwen & Shi, Meiqi, 2024. "Intraday variation in cross-sectional stock comovement and impact of index-based strategies," Journal of Financial Markets, Elsevier, vol. 68(C).

  19. Eric JONDEAU & Michael ROCKINGER, 2014. "Optimal Long-Term Allocation with Pension Fund Liabilities," Swiss Finance Institute Research Paper Series 14-58, Swiss Finance Institute.

    Cited by:

    1. Hasa, Sidita & Salva, Carolina, 2024. "Cash holdings in pension funds," Journal of Banking & Finance, Elsevier, vol. 161(C).

  20. Eric JONDEAU & Florian PELGRIN, 2014. "Estimating Aggregate Autoregressive Processes When Only Macro Data are Available," Swiss Finance Institute Research Paper Series 14-43, Swiss Finance Institute.

    Cited by:

    1. Bernard Candelpergher & Michel Miniconi & Florian Pelgrin, 2015. "Long-memory process and aggregation of AR(1) stochastic processes: A new characterization," Working Papers hal-01166527, HAL.

  21. Eric Jondeau & Jérôme Lahaye & Michael Rockinger, 2013. "Estimating the Price Impact of Trades in an High-Frequency Microstructure Model with Jumps," Swiss Finance Institute Research Paper Series 13-47, Swiss Finance Institute, revised Feb 2016.

    Cited by:

    1. Fischer, Thomas & Krauss, Christopher & Treichel, Alex, 2018. "Machine learning for time series forecasting - a simulation study," FAU Discussion Papers in Economics 02/2018, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
    2. Clegg, Matthew & Krauss, Christopher, 2016. "Pairs trading with partial cointegration," FAU Discussion Papers in Economics 05/2016, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
    3. Johannes Stübinger & Sylvia Endres, 2018. "Pairs trading with a mean-reverting jump–diffusion model on high-frequency data," Quantitative Finance, Taylor & Francis Journals, vol. 18(10), pages 1735-1751, October.
    4. Pham, Manh Cuong & Anderson, Heather Margot & Duong, Huu Nhan & Lajbcygier, Paul, 2020. "The effects of trade size and market depth on immediate price impact in a limit order book market," Journal of Economic Dynamics and Control, Elsevier, vol. 120(C).
    5. Endres, Sylvia & Stübinger, Johannes, 2017. "Optimal trading strategies for Lévy-driven Ornstein-Uhlenbeck processes," FAU Discussion Papers in Economics 17/2017, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
    6. Usman Arief & Zaäfri Ananto Husodo, 2021. "Private Information from Extreme Price Movements (Empirical Evidences from Southeast Asia Countries)," International Symposia in Economic Theory and Econometrics, in: Recent Developments in Asian Economics International Symposia in Economic Theory and Econometrics, volume 28, pages 221-242, Emerald Group Publishing Limited.
    7. Tsai, Ping Chen & Eom, Cheoljun & Wang, Chou Wen, 2024. "State-dependent intra-day volatility pattern and its impact on price jump detection - Evidence from international equity indices," International Review of Financial Analysis, Elsevier, vol. 95(PB).
    8. Stübinger, Johannes & Endres, Sylvia, 2017. "Pairs trading with a mean-reverting jump-diffusion model on high-frequency data," FAU Discussion Papers in Economics 10/2017, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
    9. Stübinger, Johannes & Walter, Dominik & Knoll, Julian, 2017. "Financial market predictions with Factorization Machines: Trading the opening hour based on overnight social media data," FAU Discussion Papers in Economics 19/2017, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
    10. Christopher Krauss & Klaus Herrmann, 2017. "On the Power and Size Properties of Cointegration Tests in the Light of High-Frequency Stylized Facts," JRFM, MDPI, vol. 10(1), pages 1-24, February.
    11. Johannes St binger & Jens Bredthauer, 2017. "Statistical Arbitrage Pairs Trading with High-frequency Data," International Journal of Economics and Financial Issues, Econjournals, vol. 7(4), pages 650-662.
    12. Endres, Sylvia & Stübinger, Johannes, 2018. "A flexible regime switching model with pairs trading application to the S&P 500 high-frequency stock returns," FAU Discussion Papers in Economics 07/2018, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
    13. Chiyachantana, Chiraphol & Jain, Pankaj K. & Jiang, Christine & Sharma, Vivek, 2017. "Permanent price impact asymmetry of trades with institutional constraints," Journal of Financial Markets, Elsevier, vol. 36(C), pages 1-16.

  22. Robert F. Engle & Eric Jondeau & Michael Rockinger, 2012. "Systemic Risk in Europe," Swiss Finance Institute Research Paper Series 12-45, Swiss Finance Institute.

    Cited by:

    1. Lyócsa, Štefan & Výrost, Tomáš & Baumöhl, Eduard, 2019. "Return spillovers around the globe: A network approach," Economic Modelling, Elsevier, vol. 77(C), pages 133-146.
    2. Paulo Garrido & Pedro Campos & André Dias, 2015. "Balance Sheet Analysis Of Credit And Debt Networks," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 18(05n06), pages 1-18, August.
    3. Ahmet Sensoy, 2016. "Systematic Risk in Conventional and Islamic Equity Markets," International Review of Finance, International Review of Finance Ltd., vol. 16(3), pages 457-466, September.
    4. Faia, Ester & Ottaviano, Gianmarco & Sanchez Arjona, Irene, 2017. "International Expansion and Riskiness of Banks," CEPR Discussion Papers 11951, C.E.P.R. Discussion Papers.
    5. Bas Aarle & Cindy Moons, 2017. "Sentiment and Uncertainty Fluctuations and Their Effects on the Euro Area Business Cycle," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 13(2), pages 225-251, November.
    6. Eric Jondeau & Michael Rockinger, 2014. "Systemic Risk in Europe," World Scientific Book Chapters, in: Risk Management Institute (ed.), Global Credit Review, chapter 1, pages 1-6, World Scientific Publishing Co. Pte. Ltd..
    7. 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.
    8. Dr. Martin Indergand & Eric Jondeau & Dr. Andreas Fuster, 2022. "Measuring and stress-testing market-implied bank capital," Working Papers 2022-02, Swiss National Bank.
    9. Gehrig, Thomas & Iannino, Maria Chiara, 2021. "Did the Basel Process of capital regulation enhance the resiliency of European banks?," Journal of Financial Stability, Elsevier, vol. 55(C).
    10. Mauro Bernardi & Leopoldo Catania, 2015. "Switching-GAS Copula Models With Application to Systemic Risk," Papers 1504.03733, arXiv.org, revised Jan 2016.
    11. Davidson, Sharada Nia & Moccero, Diego Nicolas, 2024. "The nonlinear effects of banks’ vulnerability to capital depletion in euro area countries," Working Paper Series 2912, European Central Bank.
    12. Mikhail Stolbov, 2017. "Assessing systemic risk and its determinants for advanced and major emerging economies: the case of ΔCoVaR," International Economics and Economic Policy, Springer, vol. 14(1), pages 119-152, January.
    13. André F. Silva, 2019. "Strategic Liquidity Mismatch and Financial Sector Stability," Finance and Economics Discussion Series 2019-082, Board of Governors of the Federal Reserve System (U.S.).
    14. Dissem, Sonia & Lobez, Frederic, 2020. "Correlation between the 2014 EU-wide stress tests and the market-based measures of systemic risk," Research in International Business and Finance, Elsevier, vol. 51(C).
    15. Bostandzic, Denefa & Weiß, Gregor N.F., 2018. "Why do some banks contribute more to global systemic risk?," Journal of Financial Intermediation, Elsevier, vol. 35(PA), pages 17-40.
    16. Liu, Yulin & Wang, Junbo & Wen, Fenghua & Wu, Chunchi, 2024. "Climate policy uncertainty and bank systemic risk: A creative destruction perspective," Journal of Financial Stability, Elsevier, vol. 73(C).
    17. Matousek, Roman & Panopoulou, Ekaterini & Papachristopoulou, Andromachi, 2020. "Policy uncertainty and the capital shortfall of global financial firms," Journal of Corporate Finance, Elsevier, vol. 62(C).
    18. Bijlsma, Melle & Vermeulen, Robert, 2016. "Insurance companies’ trading behaviour during the European sovereign debt crisis: Flight home or flight to quality?," Journal of Financial Stability, Elsevier, vol. 27(C), pages 137-154.
    19. Engle, Robert & Acharya, Viral & Pierret, Diane, 2013. "Testing Macroprudential Stress Tests: The Risk of Regulatory Risk Weights," CEPR Discussion Papers 9431, C.E.P.R. Discussion Papers.
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    Cited by:

    1. Byrne, Joseph P. & Kontonikas, Alexandros & Montagnoliz, Alberto, 2010. "International Evidence on the New Keynesian Phillips Curve Using Aggregate and Disaggregate Data," SIRE Discussion Papers 2010-57, Scottish Institute for Research in Economics (SIRE).
    2. Hülya Saygılı, 2020. "The nature of trade, global production fragmentation and inflationary dynamics: Cross‐country evidence," The World Economy, Wiley Blackwell, vol. 43(7), pages 2007-2031, July.
    3. Yanli LI, Hongfeng PENG & Hongfeng PENG, 2013. "Inflation Persistence in Nine Latin American Countries: Panel SURKSS Test with a Fourier Function," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 132-143, October.
    4. Sophocles Mavroeidis & Mikkel Plagborg-Møller & James H. Stock, 2014. "Empirical Evidence on Inflation Expectations in the New Keynesian Phillips Curve," Journal of Economic Literature, American Economic Association, vol. 52(1), pages 124-188, March.
    5. Fernando Alvarez & Andrea Ferrara & Erwan Gautier & Hervé Le Bihan & Francesco Lippi, 2021. "Empirical Investigation of a Sufficient Statistic for Monetary Shocks," EIEF Working Papers Series 2109, Einaudi Institute for Economics and Finance (EIEF), revised May 2021.
    6. Eric JONDEAU & Florian PELGRIN, 2014. "Estimating Aggregate Autoregressive Processes When Only Macro Data are Available," Swiss Finance Institute Research Paper Series 14-43, Swiss Finance Institute.
    7. Tiwari, Aviral Kumar & Oros, Cornel & Albulescu, Claudiu Tiberiu, 2014. "Revisiting the inflation–output gap relationship for France using a wavelet transform approach," Economic Modelling, Elsevier, vol. 37(C), pages 464-475.
    8. Knobel, A. & Mironov, A., 2015. "Assessment of CIS Countries Readiness for Creation of Currency Union," Journal of the New Economic Association, New Economic Association, vol. 25(1), pages 76-101.
    9. Ampudia, Miguel & Lombardi, Marco Jacopo & Renault, Théodore, 2024. "The wage-price pass-through across sectors: evidence from the euro area," Working Paper Series 2948, European Central Bank.
    10. Ivan Petrella & Emiliano Santoro, 2012. "Inflation Dynamics and Real Marginal Costs: New Evidence from U.S. Manufacturing Industries," Birkbeck Working Papers in Economics and Finance 1202, Birkbeck, Department of Economics, Mathematics & Statistics.
    11. Bernard Candelpergher & Michel Miniconi & Florian Pelgrin, 2015. "Long-memory process and aggregation of AR(1) stochastic processes: A new characterization," Working Papers hal-01166527, HAL.
    12. Abbas, Syed K. & Bhattacharya, Prasad Sankar & Sgro, Pasquale, 2016. "The new Keynesian Phillips curve: An update on recent empirical advances," International Review of Economics & Finance, Elsevier, vol. 43(C), pages 378-403.
    13. Ida, Daisuke, 2020. "Sectoral inflation persistence and optimal monetary policy," Journal of Macroeconomics, Elsevier, vol. 65(C).
    14. Temple, Jonathan & Van de Sijpe, Nicolas, 2017. "Foreign aid and domestic absorption," Journal of International Economics, Elsevier, vol. 108(C), pages 431-443.
    15. Liu, Zhen & Ngo, Thanh Quang & Saydaliev, Hayot Berk & He, Huiyuan & Ali, Sajid, 2022. "How do trade openness, public expenditure and institutional performance affect unemployment in OIC countries? Evidence from the DCCE approach," Economic Systems, Elsevier, vol. 46(4).
    16. Viacheslav Kramkov, 2023. "Does CPI disaggregation improve inflation forecast accuracy?," Bank of Russia Working Paper Series wps112, Bank of Russia.
    17. Mustafa Caglayan & Oleksandr Talavera & Lin Xiong, 2020. "Female Small Business Owners in China: Discouraged, not Discriminated," Discussion Papers 20-04, Department of Economics, University of Birmingham.
    18. Johannes Schuffels & Clemens Kool & Lenard Lieb & Tom van Veen, 2022. "Is the Slope of the Euro Area Phillips Curve Steeper than It Seems? Heterogeneity and Identification," CESifo Working Paper Series 10103, CESifo.
    19. Guilloux-Nefussi, Sophie, 2020. "Globalization, market structure and inflation dynamics," Journal of International Economics, Elsevier, vol. 123(C).
    20. Siyabonga Mndebele & Devi Datt Tewari & Kehinde Damilola Ilesanmi, 2023. "Testing the Validity of the Quantity Theory of Money on Sectoral Data: Non-Linear Evidence from South Africa," Economies, MDPI, vol. 11(2), pages 1-26, February.
    21. María Jose Luengo-Prado & Nikhil Rao & Viacheslav Sheremirov, 2017. "Sectoral inflation and the Phillips curve: what has changed since the Great Recession?," Current Policy Perspectives 17-5, Federal Reserve Bank of Boston.
    22. Faryna, Oleksandr & Pham, Tho & Talavera, Oleksandr & Tsapin, Andriy, 2022. "Wage and unemployment: Evidence from online job vacancy data," Journal of Comparative Economics, Elsevier, vol. 50(1), pages 52-70.
    23. Oleksandr Faryna & Tho Pham & Oleksandr Talavera & Andriy Tsapin, 2020. "Wage Setting and Unemployment: Evidence from Online Job Vacancy Data," Economics Discussion Papers em-dp2020-02, Department of Economics, University of Reading.
    24. Schuffels, Johannes & Kool, Clemens & Lieb, Lenard & van Veen, Tom, 2024. "Is the slope of the euro area Phillips curve steeper than it seems? Heterogeneity and identification," Journal of International Money and Finance, Elsevier, vol. 148(C).
    25. Nagayasu, Jun, 2012. "Regional inflation and industrial structure in monetary union," MPRA Paper 37310, University Library of Munich, Germany.
    26. Francisco J. Ruge-Murcia & Alexander L. Wolman, 2022. "Relative Price Shocks and Inflation," Working Paper 22-07, Federal Reserve Bank of Richmond.
    27. Ryo Kato & Tatsushi Okuda & Takayuki Tsuruga, 2020. "Sectoral inflation persistence, market concentration and imperfect common knowledge," ISER Discussion Paper 1082, Institute of Social and Economic Research, Osaka University.
    28. Milda Norkute, 2015. "Can the sectoral New Keynesian Phillips curve explain inflation dynamics in the Euro Area?," Empirical Economics, Springer, vol. 49(4), pages 1191-1216, December.
    29. Laura Mayoral, 2013. "Heterogeneous Dynamics, Aggregation, And The Persistence Of Economic Shocks," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 54(4), pages 1295-1307, November.
    30. Carlos Carvalho & Niels Arne Dam & Jae Won Lee, 2020. "The Cross-Sectional Distribution of Price Stickiness Implied by Aggregate Data," The Review of Economics and Statistics, MIT Press, vol. 102(1), pages 162-179, March.
    31. Chiang, Shu-Hen & Lee, Chien-Chiang & Liao, Ying, 2021. "Exploring the sources of inflation dynamics: New evidence from China," Economic Analysis and Policy, Elsevier, vol. 70(C), pages 313-332.
    32. A. Moutaabbid, 2024. "Les determinants de la dynamique des salaires en France : approches macro et sectorielles par la courbe de Phillips," Documents de Travail de l'Insee - INSEE Working Papers 2024-20, Institut National de la Statistique et des Etudes Economiques.
    33. Hülya Saygılı, 2020. "Sectoral inflationary dynamics: cross-country evidence on the open-economy New Keynesian Phillips Curve," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 156(1), pages 75-101, February.

  24. Eric JONDEAU & Emmanuel JURCZENKO & Michael ROCKINGER, 2010. "Moment Component Analysis: An Illustration with International Stock Markets," Swiss Finance Institute Research Paper Series 10-43, Swiss Finance Institute.

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    1. Domino, Krzysztof, 2020. "Multivariate cumulants in outlier detection for financial data analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 558(C).
    2. Wanbo Lu & Guanglin Huang & Kris Boudt, 2024. "Estimation of Non-Gaussian Factors Using Higher-order Multi-cumulants in Weak Factor Models," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 24/1085, Ghent University, Faculty of Economics and Business Administration.
    3. Lassance, Nathan & Vrins, Frédéric, 2021. "Portfolio selection with parsimonious higher comoments estimation," LIDAM Reprints LFIN 2021005, Université catholique de Louvain, Louvain Finance (LFIN).
    4. Lassance, Nathan & Vrins, Frédéric, 2019. "Robust portfolio selection using sparse estimation of comoment tensors," LIDAM Discussion Papers LFIN 2019007, Université catholique de Louvain, Louvain Finance (LFIN).
    5. Esparcia, Carlos & Díaz, Antonio, 2024. "The football world upside down: Traditional equities as an alternative for the new fan tokens? A portfolio optimization study," Research in International Business and Finance, Elsevier, vol. 71(C).
    6. Kris Boudt & Dries Cornilly & Tim Verdonck, 2019. "Nearest Comoment Estimation With Unobserved Factors," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 19/970, Ghent University, Faculty of Economics and Business Administration.
    7. Junrui Di & Adam Spira & Jiawei Bai & Jacek Urbanek & Andrew Leroux & Mark Wu & Susan Resnick & Eleanor Simonsick & Luigi Ferrucci & Jennifer Schrack & Vadim Zipunnikov, 2019. "Joint and Individual Representation of Domains of Physical Activity, Sleep, and Circadian Rhythmicity," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 11(2), pages 371-402, July.
    8. Wang, Peiwen & Huang, Guanglin, 2024. "Measuring systemic risk contribution: A higher-order moment augmented approach," Finance Research Letters, Elsevier, vol. 59(C).
    9. Díaz, Antonio & Escribano, Ana & Esparcia, Carlos, 2024. "Sustainable risk preferences on asset allocation: a higher order optimal portfolio study," Journal of Behavioral and Experimental Finance, Elsevier, vol. 41(C).
    10. Boyao Wu & Difang Huang & Muzi Chen, 2023. "Estimating contagion mechanism in global equity market with time‐zone effect," Financial Management, Financial Management Association International, vol. 52(3), pages 543-572, September.
    11. Boyao Wu & Difang Huang & Muzi Chen, 2024. "Estimating Contagion Mechanism in Global Equity Market with Time-Zone Effect," Papers 2404.04335, arXiv.org.

  25. Eric JONDEAU & Florian PELGRIN, 2009. "Aggregating Rational Expectations Models in the Presence of Unobserved Micro Heterogeneity," Swiss Finance Institute Research Paper Series 09-30, Swiss Finance Institute.

    Cited by:

    1. Byrne, Joseph P. & Kontonikas, Alexandros & Montagnoliz, Alberto, 2010. "International Evidence on the New Keynesian Phillips Curve Using Aggregate and Disaggregate Data," SIRE Discussion Papers 2010-57, Scottish Institute for Research in Economics (SIRE).
    2. Tiwari, Aviral Kumar & Oros, Cornel & Albulescu, Claudiu Tiberiu, 2014. "Revisiting the inflation–output gap relationship for France using a wavelet transform approach," Economic Modelling, Elsevier, vol. 37(C), pages 464-475.

  26. Eric Jondeau, 2008. "Contemporaneous Aggregation of GARCH Models and Evaluation of the Aggregation Bias," Swiss Finance Institute Research Paper Series 08-06, Swiss Finance Institute.

    Cited by:

    1. Giacomo Sbrana, 2012. "Aggregation and marginalization of GARCH processes: some further results," METRON, Springer;Sapienza Università di Roma, vol. 70(2), pages 165-172, August.

  27. Jean Imbs & Eric Jondeau & Florian Pelgrin, 2007. "Aggregating Phillips Curves," Swiss Finance Institute Research Paper Series 07-06, Swiss Finance Institute.

    Cited by:

    1. Byrne, Joseph P. & Kontonikas, Alexandros & Montagnoliz, Alberto, 2010. "International Evidence on the New Keynesian Phillips Curve Using Aggregate and Disaggregate Data," SIRE Discussion Papers 2010-57, Scottish Institute for Research in Economics (SIRE).
    2. Fröhling, Annette & Lommatzsch, Kirsten, 2011. "Output sensitivity of inflation in the euro area: Indirect evidence from disaggregated consumer prices," Discussion Paper Series 1: Economic Studies 2011,25, Deutsche Bundesbank.
    3. Niels Arne Dam & Carlos Carvalho, 2009. "Estimating the Cross-sectional Distribution of Price Stickiness from Aggregate Data," 2009 Meeting Papers 702, Society for Economic Dynamics.
    4. George Kapetanios & Simon Price & Menelaos Tasiou & Alexia Ventouri, 2020. "State-level wage Phillips curves," CAMA Working Papers 2020-08, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    5. Alvarez González, Luis Julián, 2008. "What Do Micro Price Data Tell Us on the Validity of the New Keynesian Phillips Curve?," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 2, pages 1-36.
    6. Ivan Petrella & Emiliano Santoro, 2012. "Inflation Dynamics and Real Marginal Costs: New Evidence from U.S. Manufacturing Industries," Birkbeck Working Papers in Economics and Finance 1202, Birkbeck, Department of Economics, Mathematics & Statistics.
    7. Mumtaz, Haroon & Zabczyk, Pawel & Ellis, Colin, 2009. "What lies beneath: what can disaggregated data tell us about the behaviour of prices?," Bank of England working papers 364, Bank of England.
    8. Whelan, Karl & Lawless, Martina, 2007. "Understanding the dynamics of labor shares and inflation," Working Paper Series 784, European Central Bank.
    9. Markus Knell & Alfred Stiglbauer, 2009. "The Impact of Reference Norms on Inflation Persistence When Wages are Staggered," Working Papers 153, Oesterreichische Nationalbank (Austrian Central Bank).
    10. Kalim Hyder & Stephen G. Hall, 2020. "Estimates of the New Keynesian Phillips Curve for Pakistan," Empirical Economics, Springer, vol. 59(2), pages 871-886, August.
    11. Oleg Korenok & Stanislav Radchenko & Norman R. Swanson, 2006. "International Evidence on the Efficacy of new-Keynesian Models of Inflation Persistence," Working Papers 0602, VCU School of Business, Department of Economics.
    12. Felipe Schwartzman & Carlos Carvalho, 2008. "Heterogeneous Price Setting Behavior and Monetary Non-neutrality: Some General Results," 2008 Meeting Papers 1040, Society for Economic Dynamics.
    13. Cagliarini, Adam & Robinson, Tim & Tran, Allen, 2011. "Reconciling microeconomic and macroeconomic estimates of price stickiness," Journal of Macroeconomics, Elsevier, vol. 33(1), pages 102-120, March.
    14. Emmanuel Dhyne & Catherine Fuss & M. Hashem Pesaran & Patrick Sevestre, 2011. "Lumpy Price Adjustments: A Microeconometric Analysis," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 29(4), pages 529-540, October.
    15. Kontonikas, Alexandros, 2010. "A new test of the inflation-real marginal cost relationship: ARDL bounds approach," Economics Letters, Elsevier, vol. 108(2), pages 122-125, August.
    16. Stefano Eusepi & Bart Hobijn & Andrea Tambalotti, 2011. "CONDI: A Cost-of-Nominal-Distortions Index," American Economic Journal: Macroeconomics, American Economic Association, vol. 3(3), pages 53-91, July.
    17. Milda Norkute, 2015. "Can the sectoral New Keynesian Phillips curve explain inflation dynamics in the Euro Area?," Empirical Economics, Springer, vol. 49(4), pages 1191-1216, December.
    18. Martina Cecioni, 2010. "Firm entry, competitive pressures and the US inflation dynamics," Temi di discussione (Economic working papers) 773, Bank of Italy, Economic Research and International Relations Area.
    19. Borek Vasicek, 2009. "Inflation dynamics and the New Keynesian Phillips curve in EU-4," William Davidson Institute Working Papers Series wp971, William Davidson Institute at the University of Michigan.
    20. A. Moutaabbid, 2024. "Les determinants de la dynamique des salaires en France : approches macro et sectorielles par la courbe de Phillips," Documents de Travail de l'Insee - INSEE Working Papers 2024-20, Institut National de la Statistique et des Etudes Economiques.
    21. Markus Knell & Alfred Stiglbauer, 2012. "Reference Norms, Staggered Wages, And Wage Leadership: Theoretical Implications And Empirical Evidence," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 53(2), pages 569-592, May.

  28. Jondeau, E. & Sahuc, J-G., 2007. "Testing heterogeneity within the euro area," Working papers 181, Banque de France.

    Cited by:

    1. Marc-Alexandre Sénégas, 2010. "La théorie des zones monétaires optimales au regard de l'euro : Quels enseignements après dix années d'union économique et monétaire en Europe ?," Revue d'économie politique, Dalloz, vol. 120(2), pages 379-419.
    2. Jan-Egbert Sturm & Timo Wollmershäuser, 2008. "The Stress of Having a Single Monetary Policy in Europe," KOF Working papers 08-190, KOF Swiss Economic Institute, ETH Zurich.
    3. Chortareas, Georgios & Mavrodimitrakis, Christos, 2016. "Can monetary policy fully stabilize pure demand shocks in a monetary union with a fiscal leader?," Economic Modelling, Elsevier, vol. 54(C), pages 463-468.
    4. Badarau-Semenescu, Cristina & Ndiaye, Cheikh Tidiane, 2010. "Politique économique et transmission des chocs dans la zone euro," L'Actualité Economique, Société Canadienne de Science Economique, vol. 86(1), pages 35-77, mars.
    5. Ulrich Eydam & Francesca Diluiso, 2022. "How to Redistribute the Revenues from Climate Policy? A Dynamic Perspective with Financially Constrained Households," CEPA Discussion Papers 45, Center for Economic Policy Analysis.
    6. Florina-Cristina Badarau & Grégory Levieuge, 2011. "Assessing the Effects of Financial Heterogeneity in a Monetary Union : A DSGE Approach," Working Papers hal-00641984, HAL.
    7. Christina Badarau & Grégory Levieuge, 2011. "Which policy-mix to mitigate the effects of financial heterogeneity in a monetary union?," Larefi Working Papers 1109, Larefi, Université Bordeaux 4.
    8. Enrique LOPEZ-BAZO & Elisabet MOTELLON, 2010. "Human Capital and Regional Wage Gaps," EcoMod2010 259600106, EcoMod.
    9. Marcin Kolasa, 2008. "Structural heterogeneity or asymmetric shocks? Poland and the euro area through the lens of a two-country DSGE model," NBP Working Papers 49, Narodowy Bank Polski.
    10. BIKAI, J. Landry & KENKOUO, Guy Albert, 2015. "Analysis and evaluation of the Monetary Policy Transmission Channels in the CEMAC: A SVAR and SPVAR Approaches," MPRA Paper 78227, University Library of Munich, Germany.
    11. Lee, Jim, 2009. "Evaluating monetary policy of the euro area with cross-country heterogeneity: Evidence from a New Keynesian model," Economic Systems, Elsevier, vol. 33(4), pages 325-343, December.
    12. Jean-Baptiste Gossé & Cyriac Guillaumin, 2010. "L'impact des chocs externes sur et dans la zone euro : un modèle VAR structurel," CEPN Working Papers hal-00493384, HAL.
    13. Kolasa, Marcin, 2013. "Business cycles in EU new member states: How and why are they different?," Journal of Macroeconomics, Elsevier, vol. 38(PB), pages 487-496.
    14. Jean-Baptiste Gossé & Cyriac Guillaumin, 2011. "The impact of external shocks on the eurozone: a structural VAR model," Working Papers hal-00610024, HAL.
    15. Sanvi Avouyi-Dovi & Jean-Guillaume Sahuc, 2016. "On the Sources of Macroeconomic Stability in the Euro Area," Post-Print hal-01612702, HAL.
    16. Chortareas, Georgios & Mavrodimitrakis, Christos, 2017. "Strategic fiscal policies and leadership in a monetary union," European Journal of Political Economy, Elsevier, vol. 47(C), pages 133-147.
    17. Pentecôte, Jean-Sébastien & Huchet-Bourdon, Marilyne, 2012. "Revisiting the core-periphery view of EMU," Economic Modelling, Elsevier, vol. 29(6), pages 2382-2391.
    18. Badarau, Cristina & Huart, Florence & Sangaré, Ibrahima, 2021. "Macroeconomic and policy implications of eurobonds," International Review of Law and Economics, Elsevier, vol. 65(C).
    19. BESSO, CHRISTOPHE RAOUL & chameni, celestin, 2016. "Analyse De La Vulnerabilite Macroeconomique De La Zone Franc [Analysis Of The Macroeconomic Vulnerability Of The Franc Zone]," MPRA Paper 75143, University Library of Munich, Germany.
    20. Ulrich Eydam, 2021. "The Distributional Implications of Climate Policies Under Uncertainty," CEPA Discussion Papers 33, Center for Economic Policy Analysis.
    21. Pei-Tha Gan & Nyuk-Ling Lee & Mohammed Yahya Mohammed Hussin & Norimah Rambeli, 2016. "Monetary Policy and External Factors: Empirical Evidence for Association of Southeast Asian Nations 3," International Journal of Economics and Financial Issues, Econjournals, vol. 6(4), pages 1585-1590.
    22. Cristina PUIU, 2012. "The Role of Heterogeneity in Creating Imbalances in the Euro Area," EuroEconomica, Danubius University of Galati, issue 1(31), pages 77-85, February.
    23. Christos Mavrodimitrakis, 2022. "The Policy Mix in a Monetary Union: Who Bears the Burden of Asymmetric Shocks' Stabilisation?," Economics Discussion Papers em-dp2022-12, Department of Economics, University of Reading.

  29. Eric Jondeau & Michael Rockinger, 2006. "The Economic Value of Distributional Timing," Swiss Finance Institute Research Paper Series 06-35, Swiss Finance Institute.

    Cited by:

    1. Marie Briere & Alexandre Burgues & Ombretta Signori, 2008. "Volatility Exposure for Strategic Asset Allocation," Working Papers CEB 08-034.RS, ULB -- Universite Libre de Bruxelles.
    2. Tsunehiro Ishihara & Yasuhiro Omori, 2017. "Portfolio optimization using dynamic factor and stochastic volatility: evidence on Fat-tailed errors and leverage," The Japanese Economic Review, Japanese Economic Association, vol. 68(1), pages 63-94, March.
    3. Campbell Harvey & John Liechty & Merrill Liechty & Peter Muller, 2010. "Portfolio selection with higher moments," Quantitative Finance, Taylor & Francis Journals, vol. 10(5), pages 469-485.
    4. Luis García-Álvarez & Richard Luger, 2011. "Dynamic Correlations, Estimation Risk, and Porfolio Management During the Financial Crisis," Working Papers wp2011_1103, CEMFI, revised Sep 2011.
    5. Paolo Zagaglia, 2024. "Stocks, Gold and Crude Oil: How Valuable are Volatility and Correlation Timing?," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 14(6), pages 1-5.
    6. Dimitrios Thomakos & Johannes Klepsch & Dimitris N. Politis, 2020. "Model Free Inference on Multivariate Time Series with Conditional Correlations," Stats, MDPI, vol. 3(4), pages 1-26, November.

  30. Eric Jondeau & Michael Rockinger, 2006. "The Impact of News on Higher Moments," Swiss Finance Institute Research Paper Series 06-28, Swiss Finance Institute.

    Cited by:

    1. Esther B. Del Brio & Trino-Manuel Niguez & Javier Perote, 2009. "Gram-Charlier densities: a multivariate approach," Quantitative Finance, Taylor & Francis Journals, vol. 9(7), pages 855-868.
    2. Changli He & Annastiina Silvennoinen & Timo Teräsvirta, 2008. "Parameterizing Unconditional Skewness in Models for Financial Time Series," Journal of Financial Econometrics, Oxford University Press, vol. 6(2), pages 208-230, Spring.
    3. Le Pen, Yannick & Sévi, Benoît, 2010. "Volatility transmission and volatility impulse response functions in European electricity forward markets," Energy Economics, Elsevier, vol. 32(4), pages 758-770, July.

  31. Jondeau, E. & Sahuc, J-G., 2006. "Optimal Monetary Policy in an Estimated DSGE Model of the Euro Area with Cross-country Heterogeneity," Working papers 141, Banque de France.

    Cited by:

    1. Jean-Christophe Poutineau & Gauthier Vermandel, 2015. "Quelle prise en compte des caractéristiques nationales dans les mesures macro-prudentielles en zone euro?," Post-Print hal-01345316, HAL.
    2. Di Bartolomeo, Giovanni & Tirelli, Patrizio & Acocella, Nicola, 2012. "Inflation targets and endogenous wage markups in a New Keynesian model," Journal of Macroeconomics, Elsevier, vol. 34(2), pages 391-403.
    3. Marcin Wolski, 2016. "Welfare-theoretic Optimal Policies in a New-Keynesian Economy with Heterogeneous Regions: Any Role for Financial Integration?," Journal of Common Market Studies, Wiley Blackwell, vol. 54(3), pages 742-761, May.
    4. Pei-Tha Gan, 2014. "The Optimal Economic Uncertainty Index: A Grid Search Application," Computational Economics, Springer;Society for Computational Economics, vol. 43(2), pages 159-182, February.
    5. Chung-Fu Lai & Wen-Fang Wang, 2016. "Fiscal Policy in a Floating Exchange Rate Regime with Consumption Home Bias," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 8(6), pages 1-24, June.
    6. Ivashchenko, S., 2013. "Dynamic Stochastic General Equilibrium Model with Banks and Endogenous Defaults of Firms," Journal of the New Economic Association, New Economic Association, vol. 19(3), pages 27-50.
    7. Clerc, Laurent & Dellas, Harris & Loisel, Olivier, 2011. "To be or not to be in monetary union: A synthesis," Journal of International Economics, Elsevier, vol. 83(2), pages 154-167, March.
    8. Jondeau, E. & Sahuc, J-G., 2007. "Testing heterogeneity within the euro area," Working papers 181, Banque de France.
    9. Hristov, Nikolay & Hülsewig, Oliver & Wollmershäuser, Timo, 2013. "Financial Frictions and Inflation Differentials in a Monetary Union," Munich Reprints in Economics 19365, University of Munich, Department of Economics.
    10. Jean-Christophe Poutineau & Gauthier Vermandel, 2017. "A Welfare Analysis of Macroprudential Policy Rules in the Euro Area," Revue d'économie politique, Dalloz, vol. 127(2), pages 191-226.
    11. Jean Imbs & Eric Jondeau & Florian Pelgrin, 2011. "Sectoral Phillips curves and the aggregate Phillips curve," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-00612310, HAL.
    12. Michał Brzoza-Brzezina & Marcin Kolasa & Krzysztof Makarski, 2013. "Macroprudential policy and imbalances in the euro area," NBP Working Papers 138, Narodowy Bank Polski.
    13. Poutineau, Jean-Christophe & Vermandel, Gauthier, 2016. "Global Banking and the Conduct of Macroprudential Policy in a Monetary Union," MPRA Paper 81367, University Library of Munich, Germany, revised 14 Apr 2017.
    14. Di Bartolomeo Giovanni & Tirelli Patrizio & Acocella Nicola, 2010. "Trend inflation, endogenous mark-ups and the non-vertical Phillips curve," wp.comunite 0065, Department of Communication, University of Teramo.
    15. Thorvardur Tjörvi Ólafsson, 2006. "The New Keynesian Phillips Curve: In Search of Improvements and Adaptation to the Open Economy," Economics wp31_tjorvi, Department of Economics, Central bank of Iceland.
    16. Lee, Jim, 2009. "Evaluating monetary policy of the euro area with cross-country heterogeneity: Evidence from a New Keynesian model," Economic Systems, Elsevier, vol. 33(4), pages 325-343, December.
    17. Verstegen, Loes & Meijdam, Lex, 2016. "The Effectiveness of a Fiscal Transfer Mechanism in a Monetary Union : A DSGE Model for the Euro Area," Discussion Paper 2016-023, Tilburg University, Center for Economic Research.
    18. Poilly, Céline & Sahuc, Jean-Guillaume, 2013. "Welfare Implications Of Heterogeneous Labor Markets In A Currency Area," Macroeconomic Dynamics, Cambridge University Press, vol. 17(2), pages 294-325, March.
    19. Moons, Cindy, 2009. "An Estimated Two-Country DSGE Model: losses from UK membership in EMU," Working Papers 2009/23, Hogeschool-Universiteit Brussel, Faculteit Economie en Management.
    20. Dufour, Jean-Marie & Khalaf, Lynda & Kichian, Maral, 2010. "On the precision of Calvo parameter estimates in structural NKPC models," Journal of Economic Dynamics and Control, Elsevier, vol. 34(9), pages 1582-1595, September.
    21. Brissimis, Sophocles N. & Skotida, Ifigeneia, 2008. "Optimal monetary policy in the euro area in the presence of heterogeneity," Journal of International Money and Finance, Elsevier, vol. 27(2), pages 209-226, March.
    22. Carla Soares, 2008. "Impact on Welfare of Country Heterogeneity in a Currency Union," Working Papers w200814, Banco de Portugal, Economics and Research Department.
    23. Di Bartolomeo Giovanni & Tirelli Patrizio & Acocella Nicola, 2011. "Trend inflation, the labor market wedge, and the non-vertical Phillips curve," wp.comunite 0081, Department of Communication, University of Teramo.
    24. Paolo Angelini & Paolo Del Giovane & Stefano Siviero & Daniele Terlizzese, 2008. "Monetary Policy in a Monetary Union: What Role for Regional Information?," International Journal of Central Banking, International Journal of Central Banking, vol. 4(3), pages 1-28, September.

  32. Eric Jondeau & Jean-Guillaume Sahuc, 2005. "Testing Heterogeneity within the Euro Area Using a Structural Multi-Country Model," Documents de recherche 05-06, Centre d'Études des Politiques Économiques (EPEE), Université d'Evry Val d'Essonne.

    Cited by:

    1. Eric Jondeau & Jean-Guillaume Sahuc, 2008. "Optimal Monetary Policy in an Estimated DSGE Model of the Euro Area with Cross-country Heterogeneity," Post-Print hal-01612712, HAL.
    2. Jan-Egbert Sturm & Timo Wollmershäuser, 2008. "The Stress of Having a Single Monetary Policy in Europe," KOF Working papers 08-190, KOF Swiss Economic Institute, ETH Zurich.
    3. Marcin Kolasa, 2008. "Structural heterogeneity or asymmetric shocks? Poland and the euro area through the lens of a two-country DSGE model," NBP Working Papers 49, Narodowy Bank Polski.

  33. Eric Jondeau & Michael Rockinger, 2005. "Conditional Asset Allocation under Non-Normality: How Costly is the Mean-Variance Criterion?," FAME Research Paper Series rp132, International Center for Financial Asset Management and Engineering.

    Cited by:

    1. Haas, Markus & Mittnik, Stefan, 2008. "Multivariate regimeswitching GARCH with an application to international stock markets," CFS Working Paper Series 2008/08, Center for Financial Studies (CFS).
    2. Markus Haas, 2007. "Do investors dislike kurtosis?," Economics Bulletin, AccessEcon, vol. 7(2), pages 1-9.
    3. M. Angeles Carnero Fernández & M. Hakan Eratalay, 2012. "Estimating VAR-MGARCH models in multiple steps," Working Papers. Serie AD 2012-10, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    4. Allen, David & Lizieri, Colin & Satchell, Stephen, 2020. "A comparison of non-Gaussian VaR estimation and portfolio construction techniques," Journal of Empirical Finance, Elsevier, vol. 58(C), pages 356-368.
    5. Karol Szafranek, 2015. "Financialisation of the commodity markets. Conclusions from the VARX DCC GARCH," EcoMod2015 8554, EcoMod.
    6. Ángel León & Javier Mencía & Enrique Sentana, 2007. "Parametric properties of semi-nonparametric distributions, with applications to option valuation," Working Papers 0707, Banco de España.
    7. Del Brio, Esther B. & Ñíguez, Trino-Manuel & Perote, Javier, 2011. "Multivariate semi-nonparametric distributions with dynamic conditional correlations," International Journal of Forecasting, Elsevier, vol. 27(2), pages 347-364.
    8. Hsu, Ching-Chi & Chien, FengSheng, 2022. "The study of co-movement risk in the context of the Belt and Road Initiative," International Review of Economics & Finance, Elsevier, vol. 80(C), pages 1130-1152.
    9. Francesco Paolo Natale, 2008. "Optimisation in the presence of tail-dependence and tail risk: A heuristic approach for strategic asset allocation," Journal of Asset Management, Palgrave Macmillan, vol. 8(6), pages 374-400, February.
    10. Rihab Bedoui & Houda BenMabrouk, 2017. "CAPM with various utility functions: Theoretical developments and application to international data," Cogent Economics & Finance, Taylor & Francis Journals, vol. 5(1), pages 1343230-134, January.
    11. Maria Grazia Zoia & Gianmarco Vacca & Laura Barbieri, 2020. "Modeling Multivariate Financial Series and Computing Risk Measures via Gram–Charlier-Like Expansions," Risks, MDPI, vol. 8(4), pages 1-21, November.
    12. Juliane Proelss & Denis Schweizer, 2014. "Polynomial goal programming and the implicit higher moment preferences of US institutional investors in hedge funds," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 28(1), pages 1-28, February.
    13. John R. Birge & Luis Chavez-Bedoya, 2016. "Portfolio optimization under a generalized hyperbolic skewed t distribution and exponential utility," Quantitative Finance, Taylor & Francis Journals, vol. 16(7), pages 1019-1036, July.
    14. Li, Xiao-Ming & Zou, Li-Ping, 2008. "How do policy and information shocks impact co-movements of China's T-bond and stock markets?," Journal of Banking & Finance, Elsevier, vol. 32(3), pages 347-359, March.
    15. Wang, Chou-Wen & Liu, Kai & Li, Bin & Tan, Ken Seng, 2022. "Portfolio optimization under multivariate affine generalized hyperbolic distributions," International Review of Economics & Finance, Elsevier, vol. 80(C), pages 49-66.

  34. Jondeau, E. & Rockinger, M., 2004. "The Bank Bias: Segmentation of French Fund Families," Working papers 107, Banque de France.

    Cited by:

    1. Linh Tran Dieu, 2015. "A comparison of bank and non-bank funds in the French market," Post-Print hal-01698566, HAL.
    2. Coudert, Virginie & Salakhova, Dilyara, 2020. "Do mutual fund flows affect the French corporate bond market?," Economic Modelling, Elsevier, vol. 87(C), pages 496-510.
    3. Raphaëlle Bellando & Linh Tran Dieu, 2009. "La relation entre flux d entrées nets et performance des fonds : une étude appliquée au cas des OPCVM actions français," Post-Print halshs-00451026, HAL.
    4. Raphaëlle Bellando, 2008. "Le conflit d'agence dans la gestion déléguée de portefeuille : une revue de littérature," Post-Print halshs-00308570, HAL.

  35. Jondeau, E. & Rockinger, M., 2004. "Optimal Portfolio Allocation Under Higher Moments," Working papers 108, Banque de France.

    Cited by:

    1. François Desmoulins-Lebeault & Jean-François Gajewski & Luc Meunier, 2018. "Personality and Risk Aversion," Economics Bulletin, AccessEcon, vol. 38(1), pages 472-489.
    2. Massimiliano Caporin & Michele Costola & Gregory Mathieu Jannin & Bertrand Maillet, 2016. "On the (Ab)Use of Omega?," Working Papers hal-01697640, HAL.
    3. Xuan Vinh Vo & Thi Tuan Anh Tran, 2021. "Higher-order comoments and asset returns: evidence from emerging equity markets," Annals of Operations Research, Springer, vol. 297(1), pages 323-340, February.
    4. Dimitris Andriosopoulos & Michael Doumpos & Panos M. Pardalos & Constantin Zopounidis, 2019. "Computational approaches and data analytics in financial services: A literature review," Post-Print hal-02880149, HAL.
    5. Massimo Guidolin & Giovanna Nicodano, 2007. "Managing international portfolios with small capitalization stocks," Working Papers 2007-030, Federal Reserve Bank of St. Louis.
    6. Bajgrowicz, Pierre & Scaillet, Olivier, 2012. "Technical trading revisited: False discoveries, persistence tests, and transaction costs," Journal of Financial Economics, Elsevier, vol. 106(3), pages 473-491.
    7. Haas, Markus & Mittnik, Stefan, 2008. "Multivariate regimeswitching GARCH with an application to international stock markets," CFS Working Paper Series 2008/08, Center for Financial Studies (CFS).
    8. W. Briec & K. Kerstens & I. van de Woestyne, 2013. "Portfolio selection with skewness : a comparison of methods and a generalized one fund result," Post-Print hal-00837674, HAL.
    9. Massimiliano Giacalone & Demetrio Panarello, 2022. "A Nonparametric Approach for Testing Long Memory in Stock Returns’ Higher Moments," Mathematics, MDPI, vol. 10(5), pages 1-21, February.
    10. Markus Haas, 2007. "Do investors dislike kurtosis?," Economics Bulletin, AccessEcon, vol. 7(2), pages 1-9.
    11. K. Saranya & P. Prasanna, 2014. "Portfolio Selection and Optimization with Higher Moments: Evidence from the Indian Stock Market," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 21(2), pages 133-149, May.
    12. Chatterjee, Oindrila & Gopalakrishnan, Balagopal & Mohapatra, Sanket, 2024. "Gold in household portfolios during a pandemic: Evidence from India," International Review of Economics & Finance, Elsevier, vol. 93(PA), pages 1288-1306.
    13. Kei Nakagawa & Yusuke Uchiyama, 2020. "GO-GJRSK Model with Application to Higher Order Risk-Based Portfolio," Mathematics, MDPI, vol. 8(11), pages 1-12, November.
    14. So, Mike K.P. & Chan, Raymond K.S., 2014. "Bayesian analysis of tail asymmetry based on a threshold extreme value model," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 568-587.
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    149. Dahlquist, Magnus & Tédongap, Roméo & Farago, Adam, 2015. "Asymmetries and Portfolio Choice," CEPR Discussion Papers 10706, C.E.P.R. Discussion Papers.
    150. Adcock, C.J., 2014. "Mean–variance–skewness efficient surfaces, Stein’s lemma and the multivariate extended skew-Student distribution," European Journal of Operational Research, Elsevier, vol. 234(2), pages 392-401.

  36. Jondeau, E. & Le Bihan, H., 2003. "ML vs GMM Estimates of Hybrid Macroeconomic Models (With an Application to the New Phillips Curve)," Working papers 103, Banque de France.

    Cited by:

    1. James M. Nason & Gregor W. Smith, 2005. "Identifying the New Keynesian Phillips curve," FRB Atlanta Working Paper 2005-01, Federal Reserve Bank of Atlanta.
    2. André Kurmann, 2004. "Maximum Likelihood Estimation of Dynamic Stochastic Theories with an Application to New Keynesian Pricing," Macroeconomics 0409028, University Library of Munich, Germany.
    3. Michael T. Kiley, 2006. "A quantitative comparison of sticky-price and sticky-information models of price setting," Finance and Economics Discussion Series 2006-45, Board of Governors of the Federal Reserve System (U.S.).
    4. Paloviita, Maritta & Mayes, David, 2005. "The use of real-time information in Phillips-curve relationships for the euro area," The North American Journal of Economics and Finance, Elsevier, vol. 16(3), pages 415-434, December.
    5. Pascale Duran-Vigneron, 2006. "Interactions des politiques monétaire et budgétaires: évaluation dans un cadre nouveau keynésien," Working Papers hal-03551474, HAL.
    6. Sophocles Mavroeidis & Mikkel Plagborg-Møller & James H. Stock, 2014. "Empirical Evidence on Inflation Expectations in the New Keynesian Phillips Curve," Journal of Economic Literature, American Economic Association, vol. 52(1), pages 124-188, March.
    7. Jondeau, Eric & Le Bihan, Herve, 2005. "Testing for the New Keynesian Phillips Curve. Additional international evidence," Economic Modelling, Elsevier, vol. 22(3), pages 521-550, May.
    8. Alain Guay & Florian Pelgrin, 2004. "The U.S. New Keynesian Phillips Curve: An Empirical Assessment," Staff Working Papers 04-35, Bank of Canada.
    9. Bakhshi, Hasan & Khan, Hashmat & Rudolf, Barbara, 2007. "The Phillips curve under state-dependent pricing," Journal of Monetary Economics, Elsevier, vol. 54(8), pages 2321-2345, November.
    10. Andreas Beyer & Roger E. A. Farmer & Jérôme Henry & Massimiliano Marcellino, 2007. "Factor Analysis in a Model with Rational Expectations," NBER Working Papers 13404, National Bureau of Economic Research, Inc.
    11. Fabio Milani, 2005. "Adaptive Learning and Inflation Persistence," Macroeconomics 0506013, University Library of Munich, Germany.
    12. Fabio Rumler, 2005. "Estimates of the Open Economy New Keynesian Phillips Curve for Euro Area Countries," Working Papers 102, Oesterreichische Nationalbank (Austrian Central Bank).
    13. Luca Fanelli, 2006. "Testing the New Keynesian Phillips Curve through Vector Autoregressive models : Results from the Euro area," Quaderni di Dipartimento 0, Department of Statistics, University of Bologna.
    14. Ieva Rubene & Paolo Guarda, 2004. "The new Keynesian Phillips curve: empirical results for Luxembourg," BCL working papers 11, Central Bank of Luxembourg.
    15. Farmer, Roger & Henry, Jerome & Marcellino, Massimiliano & Beyer, Andreas, 2005. "Factor Analysis in a New-Keynesian Model," CEPR Discussion Papers 5266, C.E.P.R. Discussion Papers.
    16. Sophocles Mavroeidis, 2006. "Testing the New Keynesian Phillips Curve Without Assuming Identification," Working Papers 2006-13, Brown University, Department of Economics.
    17. Tillmann, Peter, 2005. "The New Keynesian Phillips Curve in Europe: does it fit or does it fail?," Discussion Paper Series 1: Economic Studies 2005,04, Deutsche Bundesbank.
    18. Alain Guay & Florian Pelgrin, 2007. "Using Implied Probabilities to Improve Estimation with Unconditional Moment Restrictions," Cahiers de recherche 0747, CIRPEE.

  37. Eric Jondeau & Michael Rockinger, 2002. "Conditional Dependency of Financial Series: The Copula-GARCH Model," FAME Research Paper Series rp69, International Center for Financial Asset Management and Engineering.

    Cited by:

    1. Krzysztof Jajuga, 2004. "Application of Copula Functions in a Modelling of Relations in Multivariate Financial Time Series," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 6, pages 15-24.
    2. Cyril Caillault & Dominique Guegan, 2009. "Forecasting VaR and Expected Shortfall using Dynamical Systems: A Risk Management Strategy," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00375765, HAL.
    3. Michał Adam & Piotr Bańbuła & Michał Markun, 2013. "Dependence and contagion between asset prices in Poland and abroad. A copula approach," NBP Working Papers 169, Narodowy Bank Polski.
    4. Yang, Jingping & Cheng, Shihong & Zhang, Lihong, 2006. "Bivariate copula decomposition in terms of comonotonicity, countermonotonicity and independence," Insurance: Mathematics and Economics, Elsevier, vol. 39(2), pages 267-284, October.
    5. Dominique Guegan & Jing Zhang, 2009. "Pricing bivariate option under GARCH-GH model with dynamic copula: application for Chinese market," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00368336, HAL.
    6. Denitsa Stefanova, 2012. "Stock Market Asymmetries: A Copula Diffusion," Tinbergen Institute Discussion Papers 12-125/IV/DSF45, Tinbergen Institute.
    7. Su, EnDer, 2014. "Measuring Contagion Risk in High Volatility State between Major Banks in Taiwan by Threshold Copula GARCH Model," MPRA Paper 58161, University Library of Munich, Germany.
    8. Alqaralleh, Huthaifa & Canepa, Alessandra & Zanetti Chini, Emilio, 2020. "COVID-19 Pandemic and Stock Market Contagion: A Wavelet-Copula GARCH Approach," Department of Economics and Statistics Cognetti de Martiis. Working Papers 202012, University of Turin.
    9. EnDer Su, 2017. "Measuring and Testing Tail Dependence and Contagion Risk Between Major Stock Markets," Computational Economics, Springer;Society for Computational Economics, vol. 50(2), pages 325-351, August.
    10. Long Kang, 2011. "Asset allocation in a Bayesian copula-GARCH framework: An application to the ‘passive funds versus active funds’ problem," Journal of Asset Management, Palgrave Macmillan, vol. 12(1), pages 45-66, April.
    11. Michal Adam & Piotr Banbula & Michal Markun, 2015. "International Dependence and Contagion across Asset Classes: The Case of Poland," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 65(3), pages 254-270, May.
    12. Alqaralleh, Huthaifa & Canepa, Alessandra & Chini, Zanetti, 2021. "Financial Contagion During the Covid-19 Pandemic: A Wavelet-Copula-GARCH Approach," Department of Economics and Statistics Cognetti de Martiis. Working Papers 202110, University of Turin.
    13. ACATRINEI, Marius, 2015. "A Copula-Garch Model For A Proxy Portfolio For Bet-Fi Index," Studii Financiare (Financial Studies), Centre of Financial and Monetary Research "Victor Slavescu", vol. 19(2), pages 8-16.
    14. EnDer Su, 2018. "Measuring contagion risk in high volatility state among Taiwanese major banks," Risk Management, Palgrave Macmillan, vol. 20(3), pages 185-241, August.

  38. ROCKINGER, Michael & JONDEAU, Eric, 2001. "Testing for differences in the tails of stock-market returns," HEC Research Papers Series 739, HEC Paris.

    Cited by:

    1. Sofiane Aboura, 2014. "When the U.S. Stock Market Becomes Extreme?," Risks, MDPI, vol. 2(2), pages 1-15, May.
    2. Jondeau, E. & Rockinger, M., 2004. "Optimal Portfolio Allocation Under Higher Moments," Working papers 108, Banque de France.
    3. Ahmed, Walid M.A., 2022. "On the higher-order moment interdependence of stock and commodity markets: A wavelet coherence analysis," The Quarterly Review of Economics and Finance, Elsevier, vol. 83(C), pages 135-151.
    4. Geluk, J.L. & de Vries, C.G., 2004. "Weighted sums of subexponential random variables and asymptotic dependence between returns on reinsurance equities," Econometric Institute Research Papers EI 2004-47, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    5. 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.
    6. 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.
    7. 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.
    8. Christiansen, Charlotte, 2014. "Classifying returns as extreme: European stock and bond markets," International Review of Financial Analysis, Elsevier, vol. 34(C), pages 1-4.
    9. S. T. M. Straetmans & W. F. C. Verschoor & C. C. P. Wolff, 2008. "Extreme US stock market fluctuations in the wake of 9|11," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(1), pages 17-42.
    10. So, Mike K.P. & Chan, Raymond K.S., 2014. "Bayesian analysis of tail asymmetry based on a threshold extreme value model," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 568-587.
    11. Timotheos Angelidis & Alexandros Benos & Stavros Degiannakis, 2007. "A robust VaR model under different time periods and weighting schemes," Review of Quantitative Finance and Accounting, Springer, vol. 28(2), pages 187-201, February.
    12. Huang, Wei & Liu, Qianqiu & Ghon Rhee, S. & Wu, Feng, 2012. "Extreme downside risk and expected stock returns," Journal of Banking & Finance, Elsevier, vol. 36(5), pages 1492-1502.
    13. Rhee, S. Ghon & Wu, Feng, 2012. "Anything wrong with breaking a buck? An empirical evaluation of NASDAQ's $1 minimum bid price maintenance criterion," Journal of Financial Markets, Elsevier, vol. 15(2), pages 258-285.
    14. Alexander Eastman & Brian Lucey, 2008. "Skewness and asymmetry in futures returns and volumes," Applied Financial Economics, Taylor & Francis Journals, vol. 18(10), pages 777-800.
    15. Marc Joëts, 2013. "Energy price transmissions during extreme movements," Working Papers 2013-28, Department of Research, Ipag Business School.
    16. Bertrand Candelon & Marc Joëts & Sessi Tokpavi, 2012. "Testing for crude oil markets globalization during extreme price movements," Post-Print hal-01411687, HAL.
    17. Jondeau, Eric, 2016. "Asymmetry in tail dependence in equity portfolios," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 351-368.
    18. Y. Malevergne & V. Pisarenko & D. Sornette, 2005. "Empirical distributions of stock returns: between the stretched exponential and the power law?," Quantitative Finance, Taylor & Francis Journals, vol. 5(4), pages 379-401.
    19. De Vries, C.G., 2005. "The simple economics of bank fragility," Journal of Banking & Finance, Elsevier, vol. 29(4), pages 803-825, April.
    20. Ahmed, Walid M.A. & Al Mafrachi, Mustafa, 2021. "Do higher-order realized moments matter for cryptocurrency returns?," International Review of Economics & Finance, Elsevier, vol. 72(C), pages 483-499.
    21. Yuichi Goto & Tobias Kley & Ria Van Hecke & Stanislav Volgushev & Holger Dette & Marc Hallin, 2021. "The Integrated Copula Spectrum," Working Papers ECARES 2021-29, ULB -- Universite Libre de Bruxelles.
    22. Chao Xu & Jinchuan Ke & Xiaojun Zhao & Xiaofang Zhao, 2020. "Multiscale Quantile Correlation Coefficient: Measuring Tail Dependence of Financial Time Series," Sustainability, MDPI, vol. 12(12), pages 1-24, June.
    23. Kostakis, Alexandros & Muhammad, Kashif & Siganos, Antonios, 2012. "Higher co-moments and asset pricing on London Stock Exchange," Journal of Banking & Finance, Elsevier, vol. 36(3), pages 913-922.
    24. Daniella Acker & Nigel W. Duck, 2004. "Estimating Betas and Stock-Return Correlations From Monthly Data: A Warning Note," Bristol Economics Discussion Papers 04/557, School of Economics, University of Bristol, UK.
    25. Hartmann, Philipp & Straetmans, Stefan & de Vries, Casper, 2004. "Fundamentals and joint currency crises," Working Paper Series 324, European Central Bank.
    26. Moore, Kyle & Sun, Pengei & de Vries, Casper G. & Zhou, Chen, 2013. "The drivers of downside equity tail risk," MPRA Paper 45591, University Library of Munich, Germany.
    27. Bijoy Chandra Das & Fakhrul Hasan & Soma Rani Sutradhar & Sujana Shafique, 2023. "Ukraine–Russia Conflict and Stock Markets Reactions in Europe," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 24(3), pages 395-407, September.
    28. Cui, Jinxin & Alshater, Muneer M. & Mensi, Walid, 2023. "Higher-order moment risk spillovers and optimal portfolio strategies in global oil markets," Resources Policy, Elsevier, vol. 86(PA).
    29. Campbell, Rachel A.J. & Forbes, Catherine S. & Koedijk, Kees G. & Kofman, Paul, 2008. "Increasing correlations or just fat tails?," Journal of Empirical Finance, Elsevier, vol. 15(2), pages 287-309, March.
    30. da Gama Batista, João & Massaro, Domenico & Bouchaud, Jean-Philippe & Challet, Damien & Hommes, Cars, 2017. "Do investors trade too much? A laboratory experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 140(C), pages 18-34.
    31. González-Sánchez, Mariano & Nave Pineda, Juan M., 2023. "Where is the distribution tail threshold? A tale on tail and copulas in financial risk measurement," International Review of Financial Analysis, Elsevier, vol. 86(C).
    32. Ahmed Naeem & Sarfraz Mudassira, 2018. "Stock Market Volatility Measure Using Non-Traditional Tool Case of Germany," Economics and Business, Sciendo, vol. 32(1), pages 126-135, July.
    33. Jalal, Amine & Rockinger, Michael, 2008. "Predicting tail-related risk measures: The consequences of using GARCH filters for non-GARCH data," Journal of Empirical Finance, Elsevier, vol. 15(5), pages 868-877, December.
    34. Ankudinov, Andrei & Ibragimov, Rustam & Lebedev, Oleg, 2017. "Heavy tails and asymmetry of returns in the Russian stock market," Emerging Markets Review, Elsevier, vol. 32(C), pages 200-219.
    35. Konstantinos Tolikas & Athanasios Koulakiotis & Richard A. Brown, 2007. "Extreme Risk and Value-at-Risk in the German Stock Market," The European Journal of Finance, Taylor & Francis Journals, vol. 13(4), pages 373-395.
    36. Echaust, Krzysztof & Just, Małgorzata, 2022. "Is gold still a safe haven for stock markets? New insights through the tail thickness of portfolio return distributions," Research in International Business and Finance, Elsevier, vol. 63(C).
    37. 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.
    38. Hussain, Saiful Izzuan & Li, Steven, 2015. "Modeling the distribution of extreme returns in the Chinese stock market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 34(C), pages 263-276.
    39. Candelon, Bertrand & Joëts, Marc & Tokpavi, Sessi, 2013. "Testing for Granger causality in distribution tails: An application to oil markets integration," Economic Modelling, Elsevier, vol. 31(C), pages 276-285.
    40. Timotheos Angelidis & Alexandros Benos, 2008. "Value-at-Risk for Greek Stocks," Multinational Finance Journal, Multinational Finance Journal, vol. 12(1-2), pages 67-104, March-Jun.
    41. Chihwa Kao & Yongmiao Hong, 2004. "Detecting Neglected Nonlinearity in Dynamic Panel Data with Time-Varying Conditional Heteroskedasticity," Econometric Society 2004 Far Eastern Meetings 753, Econometric Society.
    42. Danijel Grahovac & Nenad Suvak, 2015. "Heavy-tailed modeling of CROBEX," Financial Theory and Practice, Institute of Public Finance, vol. 39(4), pages 411-430.
    43. Ankudinov, Andrei & Ibragimov, Rustam & Lebedev, Oleg, 2017. "Extreme movements of the Russian stock market and their consequences for management and economic modeling," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 45, pages 75-92.
    44. Straetmans, Stefan & Candelon, Bertrand, 2013. "Long-term asset tail risks in developed and emerging markets," Journal of Banking & Finance, Elsevier, vol. 37(6), pages 1832-1844.
    45. Moore, Kyle & Sun, Pengfei & de Vries, Casper G. & Zhou, Chen, 2013. "The cross-section of tail risks in stock returns," MPRA Paper 45592, University Library of Munich, Germany.
    46. Francq, Christian & Zakoïan, Jean-Michel, 2022. "Testing the existence of moments for GARCH processes," Journal of Econometrics, Elsevier, vol. 227(1), pages 47-64.
    47. Candelon, Bertrand & Straetmans, Stefan, 2006. "Testing for multiple regimes in the tail behavior of emerging currency returns," Journal of International Money and Finance, Elsevier, vol. 25(7), pages 1187-1205, November.
    48. Al Rahahleh, Naseem & Bhatti, M. Ishaq, 2017. "Co-movement measure of information transmission on international equity markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 470(C), pages 119-131.
    49. Bax, Karoline & Sahin, Özge & Czado, Claudia & Paterlini, Sandra, 2023. "ESG, risk, and (tail) dependence," International Review of Financial Analysis, Elsevier, vol. 87(C).
    50. Marco Bee & Debbie J. Dupuis & Luca Trapin, 2016. "US stock returns: are there seasons of excesses?," Quantitative Finance, Taylor & Francis Journals, vol. 16(9), pages 1453-1464, September.
    51. DiTraglia, Francis J. & Gerlach, Jeffrey R., 2013. "Portfolio selection: An extreme value approach," Journal of Banking & Finance, Elsevier, vol. 37(2), pages 305-323.
    52. 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.
    53. Y. Malevergne & V. F. Pisarenko & D. Sornette, 2003. "Empirical Distributions of Log-Returns: between the Stretched Exponential and the Power Law?," Papers physics/0305089, arXiv.org.
    54. Ankudinov, Andrei & Ibragimov, Rustam & Lebedev, Oleg, 2017. "Sanctions and the Russian stock market," Research in International Business and Finance, Elsevier, vol. 40(C), pages 150-162.
    55. Brian M Lucey and Alexander Eastman, 2008. "Comparing Garman-Klass and DU Volatility and Symmetry Measures in Intraday Futures Returns and Volumes: A Vector Autoregression Analysis," The Institute for International Integration Studies Discussion Paper Series iiisdp260, IIIS.
    56. Dominic Gasbarro & Wing-Keung Wong & J. Kenton Zumwalt, 2007. "Stochastic Dominance Analysis of iShares," The European Journal of Finance, Taylor & Francis Journals, vol. 13(1), pages 89-101.
    57. Vladimir Petrov & Anton Golub & Richard Olsen, 2019. "Instantaneous Volatility Seasonality of High-Frequency Markets in Directional-Change Intrinsic Time," JRFM, MDPI, vol. 12(2), pages 1-31, April.
    58. Ling Peng & Dong Han, 2021. "The Convergence Rate of High-Dimensional Sample Quantiles for φ -Mixing Observation Sequences," Mathematics, MDPI, vol. 9(6), pages 1-8, March.
    59. Echaust Krzysztof, 2014. "A Comparison of Tail Behaviour of Stock Market Returns," Folia Oeconomica Stetinensia, Sciendo, vol. 14(1), pages 22-34, June.
    60. Carlos Velasco & Xuexin Wang, 2015. "A Joint Portmanteau Test For Conditional Mean And Variance Time-Series Models," Journal of Time Series Analysis, Wiley Blackwell, vol. 36(1), pages 39-60, January.
    61. Camilleri, Silvio John, 2006. "An Analysis of Stock Index Distributions of Selected Emerging Markets," MPRA Paper 62490, University Library of Munich, Germany.
    62. Cui, Jinxin & Maghyereh, Aktham, 2023. "Higher-order moment risk connectedness and optimal investment strategies between international oil and commodity futures markets: Insights from the COVID-19 pandemic and Russia-Ukraine conflict," International Review of Financial Analysis, Elsevier, vol. 86(C).
    63. Echaust, Krzysztof, 2021. "Asymmetric tail dependence between stock market returns and implied volatility," The Journal of Economic Asymmetries, Elsevier, vol. 23(C).
    64. Radu T. Pruna & Maria Polukarov & Nicholas R. Jennings, 2016. "A new structural stochastic volatility model of asset pricing and its stylized facts," Papers 1604.08824, arXiv.org.
    65. Karoline Bax & Ozge Sahin & Claudia Czado & Sandra Paterlini, 2021. "ESG, Risk, and (Tail) Dependence," Papers 2105.07248, arXiv.org, revised Nov 2021.

  39. Rockinger, M. & Jondeau, E., 2001. "Entropy Densities: with an Application to Autoregressive Conditional Skewness and Kurtosis," Working papers 79, Banque de France.

    Cited by:

    1. Dark Jonathan Graeme, 2010. "Estimation of Time Varying Skewness and Kurtosis with an Application to Value at Risk," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 14(2), pages 1-50, March.
    2. Jurczenko, Emmanuel & Maillet, Bertrand & Negrea, Bogdan, 2002. "Revisited multi-moment approximate option pricing models: a general comparison (Part 1)," LSE Research Online Documents on Economics 24950, London School of Economics and Political Science, LSE Library.
    3. O'Callaghan, Patrick, 2016. "Measuring utility without mixing apples and oranges and eliciting beliefs about stock prices," MPRA Paper 69363, University Library of Munich, Germany.
    4. Massimo Guidolin, 2011. "Markov Switching Models in Empirical Finance," Working Papers 415, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    5. Carol Alexander & José María Sarabia, 2012. "Quantile Uncertainty and Value‐at‐Risk Model Risk," Risk Analysis, John Wiley & Sons, vol. 32(8), pages 1293-1308, August.
    6. Sylvia J. Soltyk & Felix Chan, 2023. "Modeling time‐varying higher‐order conditional moments: A survey," Journal of Economic Surveys, Wiley Blackwell, vol. 37(1), pages 33-57, February.
    7. Stephen Satchell & Susan Thorp & Oliver Williams, 2012. "Estimating Consumption Plans for Recursive Utility by Maximum Entropy Methods," Research Paper Series 300, Quantitative Finance Research Centre, University of Technology, Sydney.
    8. Bertholon, H. & Monfort, A. & Pegoraro, F., 2007. "Pricing and Inference with Mixtures of Conditionally Normal Processes," Working papers 188, Banque de France.
    9. ROCKINGER, Michael & JONDEAU, Eric, 2001. "Conditional dependency of financial series : an application of copulas," HEC Research Papers Series 723, HEC Paris.
    10. Jondeau, Eric & Rockinger, Michael, 2003. "Conditional volatility, skewness, and kurtosis: existence, persistence, and comovements," Journal of Economic Dynamics and Control, Elsevier, vol. 27(10), pages 1699-1737, August.
    11. Chalamandaris, Georgios & Rompolis, Leonidas S., 2012. "Exploring the role of the realized return distribution in the formation of the implied volatility smile," Journal of Banking & Finance, Elsevier, vol. 36(4), pages 1028-1044.
    12. Thomas Chuffart, 2015. "Selection Criteria in Regime Switching Conditional Volatility Models," Econometrics, MDPI, vol. 3(2), pages 1-28, May.
    13. Carol Alexander & Jose Maria Sarabia, 2010. "Endogenizing Model Risk to Quantile Estimates," ICMA Centre Discussion Papers in Finance icma-dp2010-07, Henley Business School, University of Reading.
    14. Maria Eugenia Sanin & Maria Mansanet-Bataller & Francesco Violante, 2015. "Understanding volatility dynamics in the EU-ETS market," CREATES Research Papers 2015-04, Department of Economics and Business Economics, Aarhus University.
    15. Choe, Kwang-il & Choi, Pilsun & Nam, Kiseok & Vahid, Farshid, 2012. "Testing financial contagion on heteroskedastic asset returns in time-varying conditional correlation," Pacific-Basin Finance Journal, Elsevier, vol. 20(2), pages 271-291.
    16. Damir Filipović & Sander Willems, 2020. "A term structure model for dividends and interest rates," Mathematical Finance, Wiley Blackwell, vol. 30(4), pages 1461-1496, October.
    17. Bogdan Negrea & Bertrand Maillet & Emmanuel Jurczenko, 2002. "Revisited Multi-moment Approximate Option," FMG Discussion Papers dp430, Financial Markets Group.
    18. Hiroyuki Kawakatsu, 2022. "Modeling Realized Variance with Realized Quarticity," Stats, MDPI, vol. 5(3), pages 1-25, September.
    19. Wu, Qi & Yan, Xing, 2019. "Capturing deep tail risk via sequential learning of quantile dynamics," Journal of Economic Dynamics and Control, Elsevier, vol. 109(C).
    20. José L. Vilar-Zanón & Olivia Peraita-Ezcurra, 2019. "A linear goal programming method to recover risk neutral probabilities from options prices by maximum entropy," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 42(1), pages 259-276, June.
    21. Shi-jie Jiang & Mujun Lei & Cheng-Huang Chung, 2018. "An Improvement of Gain-Loss Price Bounds on Options Based on Binomial Tree and Market-Implied Risk-Neutral Distribution," Sustainability, MDPI, vol. 10(6), pages 1-17, June.
    22. Ba Chu & Stephen Satchell, 2016. "Recovering the Most Entropic Copulas from Preliminary Knowledge of Dependence," Econometrics, MDPI, vol. 4(2), pages 1-21, March.
    23. Shangmei Zhao & Qing Lu & Liyan Han & Yong Liu & Fei Hu, 2015. "A mean-CVaR-skewness portfolio optimization model based on asymmetric Laplace distribution," Annals of Operations Research, Springer, vol. 226(1), pages 727-739, March.
    24. Omid M. Ardakani, 2022. "Option pricing with maximum entropy densities: The inclusion of higher‐order moments," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(10), pages 1821-1836, October.
    25. Wu, Xinyu & Xia, Michelle & Zhang, Huanming, 2020. "Forecasting VaR using realized EGARCH model with skewness and kurtosis," Finance Research Letters, Elsevier, vol. 32(C).
    26. Xing Yan & Weizhong Zhang & Lin Ma & Wei Liu & Qi Wu, 2020. "Parsimonious Quantile Regression of Financial Asset Tail Dynamics via Sequential Learning," Papers 2010.08263, arXiv.org.
    27. Choi, Pilsun & Nam, Kiseok, 2008. "Asymmetric and leptokurtic distribution for heteroscedastic asset returns: The SU-normal distribution," Journal of Empirical Finance, Elsevier, vol. 15(1), pages 41-63, January.
    28. Yi-Ting Chen, 2016. "Testing for Granger Causality in Moments," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(2), pages 265-288, April.
    29. POON, Ser-Huang & ROCKINGER, Michael & TAWN, Jonathan, 2001. "New Extreme-Value Dependance Measures and Finance Applications," HEC Research Papers Series 719, HEC Paris.
    30. Rompolis, Leonidas S., 2010. "Retrieving risk neutral densities from European option prices based on the principle of maximum entropy," Journal of Empirical Finance, Elsevier, vol. 17(5), pages 918-937, December.
    31. Leonidas S. Rompolis & Elias Tzavalis, 2017. "Retrieving risk neutral moments and expected quadratic variation from option prices," Review of Quantitative Finance and Accounting, Springer, vol. 48(4), pages 955-1002, May.
    32. Shan Lu, 2019. "Monte Carlo analysis of methods for extracting risk‐neutral densities with affine jump diffusions," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(12), pages 1587-1612, December.
    33. Herrmann Klaus & Fischer Matthias, 2010. "An Alternative Maximum Entropy Model for Time-Varying Moments with Application to Financial Returns," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 14(3), pages 1-23, May.
    34. Vladimir Zdorovenin & Jacques Pézier, 2011. "Does Information Content of Option Prices Add Value for Asset Allocation?," ICMA Centre Discussion Papers in Finance icma-dp2011-03, Henley Business School, University of Reading.
    35. Damir Filipovi'c & Sander Willems, 2018. "A Term Structure Model for Dividends and Interest Rates," Papers 1803.02249, arXiv.org, revised May 2020.
    36. Bouri, Elie & Jalkh, Naji, 2023. "Spillovers of joint volatility-skewness-kurtosis of major cryptocurrencies and their determinants," International Review of Financial Analysis, Elsevier, vol. 90(C).
    37. Chen, Yi-Ting, 2012. "A simple approach to standardized-residuals-based higher-moment tests," Journal of Empirical Finance, Elsevier, vol. 19(4), pages 427-453.
    38. Wu, Ximing, 2003. "Calculation of maximum entropy densities with application to income distribution," Journal of Econometrics, Elsevier, vol. 115(2), pages 347-354, August.
    39. Haas, Markus & Mittnik, Stefan & Paolella, Marc S., 2002. "Mixed normal conditional heteroskedasticity," CFS Working Paper Series 2002/10, Center for Financial Studies (CFS).
    40. 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.
    41. Alexios Ghalanos & Eduardo Rossi & Giovanni Urga, 2015. "Independent Factor Autoregressive Conditional Density Model," Econometric Reviews, Taylor & Francis Journals, vol. 34(5), pages 594-616, May.
    42. Chan, Felix, 2009. "Modelling time-varying higher moments with maximum entropy density," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(9), pages 2767-2778.

  40. Florens, C. & Jondeau, E. & Le Bihan, H., 2001. "Assessing GMM Estimates of the Federal Reserve Reaction Function," Working papers 83, Banque de France.

    Cited by:

    1. Samira Haddou, 2010. "Non-linéarité de la fonction de réaction des autorités monétaires tunisiennes," Économie et Prévision, Programme National Persée, vol. 195(4), pages 99-110.
    2. Siklos, Pierre L. & Bohl, Martin T., 2007. "Do actions speak louder than words? Evaluating monetary policy at the Bundesbank," Journal of Macroeconomics, Elsevier, vol. 29(2), pages 368-386, June.
    3. Schnabl, Gunther & Danne, Christian, 2005. "The Changing Role of the Yen/Dollar Exchange Rate for Japanese Monetary Policy," Tübinger Diskussionsbeiträge 290, University of Tübingen, School of Business and Economics.
    4. Abdul RASHID & Farah WAHEED, 2021. "Forward-Backward-Looking Monetary Policy Rules: Derivation and Empirics," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 71-92, December.
    5. Alvaro Aguiar & Manuel M.F. Martins, 2005. "The Preferences of the Euro Area Monetary Policy‐maker," Journal of Common Market Studies, Wiley Blackwell, vol. 43(2), pages 221-250, June.
    6. Mésonnier, J-S. & Renne, J-P., 2004. "Règle de Taylor et politique monétaire dans la zone euro," Working papers 117, Banque de France.
    7. Jean-Guillaume Sahuc, 2002. "A 'hybrid' monetary policy model: evidence from the Euro area," Applied Economics Letters, Taylor & Francis Journals, vol. 9(14), pages 949-955.
    8. Jovanovic Mario & Zimmermann Tobias, 2010. "Stock Market Uncertainty and Monetary Policy Reaction Functions of the Federal Reserve Bank," The B.E. Journal of Macroeconomics, De Gruyter, vol. 10(1), pages 1-19, July.
    9. Christina Anderl & Guglielmo Maria Caporale, 2023. "Time-Varying Parameters in Monetary Policy Rules: A GMM Approach," CESifo Working Paper Series 10451, CESifo.
    10. P. Siklos & M. Bohl, 2006. "Asset Prices as Indicators of Euro Area Monetary Policy: An Empirical Assessment of Their Role in a Taylor Rule," Working Papers eg0053, Wilfrid Laurier University, Department of Economics, revised 2006.
    11. Forte, Antonio, 2009. "The European Central Bank, the Federal Reserve and the Bank of England: is the Taylor Rule an useful benchmark for the last decade?," MPRA Paper 18309, University Library of Munich, Germany.
    12. Grunspan, T., 2005. "The Fed and the Question of Financial Stability: An Empirical Investigation," Working papers 134, Banque de France.
    13. lahlou, kamal, 2009. "Essai d’estimation de la fonction de réaction de Bank Al-Maghrib [Estimation of Bank Al-Maghrib Reaction Function]," MPRA Paper 98018, University Library of Munich, Germany.
    14. Nicolas Moumni & Salma DASSER, 2011. "Relevance of a Taylor-type rule in the active monetary policy of Bank Al-Maghrib ?," EcoMod2011 2766, EcoMod.
    15. Ullrich, Katrin, 2003. "A Comparison Between the Fed and the ECB: Taylor Rules," ZEW Discussion Papers 03-19, ZEW - Leibniz Centre for European Economic Research.
    16. Ravenna, Federico & Walsh, Carl E., 2006. "Optimal monetary policy with the cost channel," Journal of Monetary Economics, Elsevier, vol. 53(2), pages 199-216, March.
    17. Bohl, Martin T. & Siklos, Pierre L., 2005. "The Role of Asset Prices in Euro Area Monetary Policy: Specification and Estimation of Policy Rules and Implications for the European Central Bank," Working Paper Series 2005,6, European University Viadrina Frankfurt (Oder), The Postgraduate Research Programme Capital Markets and Finance in the Enlarged Europe.
    18. Jovanović, Mario & Zimmermann, Tobias, 2008. "Stock Market Uncertainty and Monetary Policy Reaction Functions of the Federal Reserve Bank," Ruhr Economic Papers 77, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.

  41. Rockinger, M. & Jondeau, E., 2001. "Conditional Dependency of Financial Series: An Application of Copulas," Working papers 82, Banque de France.

    Cited by:

    1. Saha, Kunal, 2018. "An investigation into the dependence structure of major cryptocurrencies," EconStor Preprints 181878, ZBW - Leibniz Information Centre for Economics.
    2. Andrew Patton, 2002. "(IAM Series No 001) On the Out-Of-Sample Importance of Skewness and Asymetric Dependence for Asset Allocation," FMG Discussion Papers dp431, Financial Markets Group.
    3. Anthony S. Tay & Aamir R. Hashmi, 2004. "Global and Regional Sources of Risk in Equity Markets: Evidence from Factor Models with Time-Varying Conditional Skewness," Econometric Society 2004 Far Eastern Meetings 634, Econometric Society.
    4. Chris Brooks & Simon P. Burke & Gita Persand, 2002. "Augoregressive Conditional Kurtosis," ICMA Centre Discussion Papers in Finance icma-dp2002-05, Henley Business School, University of Reading.
    5. Andrew J. Patton, 2004. "On the Out-of-Sample Importance of Skewness and Asymmetric Dependence for Asset Allocation," Journal of Financial Econometrics, Oxford University Press, vol. 2(1), pages 130-168.
    6. Pedro Alberto Morettin & Clélia Maria de Castro Toloi & Chang Chiann & José Carlos Simon de Miranda, 2010. "Wavelet Smoothed Empirical Copula Estimators," Brazilian Review of Finance, Brazilian Society of Finance, vol. 8(3), pages 263-281.
    7. Fermanian, Jean-David & Scaillet, Olivier, 2003. "Nonparametric estimation of copulas for time series," Working Papers unige:41797, University of Geneva, Geneva School of Economics and Management.
    8. Andrea Beltratti & Claudio Morana, 2006. "Comovements in International Stock Markets," ICER Working Papers 3-2006, ICER - International Centre for Economic Research.
    9. Chen, Kuan-Ju & Chen, Kuan-Heng, 2016. "Analysis of Energy and Agricultural Commodity Markets with the Policy Mandated: A Vine Copula-based ARMA-EGARCH Model," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236028, Agricultural and Applied Economics Association.
    10. Rodriguez, Juan Carlos, 2007. "Measuring financial contagion: A Copula approach," Journal of Empirical Finance, Elsevier, vol. 14(3), pages 401-423, June.
    11. Bukre Yildirim Kulekci & Gulden Poyraz & Ismail Gur & Ozan Evkaya, 2023. "Dependence Analysis of the ISE100 Banking Sector Using Vine Copula," Istanbul Journal of Economics-Istanbul Iktisat Dergisi, Istanbul University, Faculty of Economics, vol. 73(73-1), pages 55-81, June.
    12. Chen, Xiaohong & Fan, Yanqin, 2006. "Estimation of copula-based semiparametric time series models," Journal of Econometrics, Elsevier, vol. 130(2), pages 307-335, February.
    13. Jean-David Fermanian, 2003. "Goodness of Fit Tests for Copulas," Working Papers 2003-34, Center for Research in Economics and Statistics.
    14. Hashmi, Aamir R. & Tay, Anthony S., 2007. "Global regional sources of risk in equity markets: Evidence from factor models with time-varying conditional skewness," Journal of International Money and Finance, Elsevier, vol. 26(3), pages 430-453, April.
    15. Rakesh Gupta & Junhao Yang & Thadavillil Jithendranathan, 2017. "Diversification into Emerging Markets – An Australian and the US Perspective Using a Time-varying Approach," Australian Economic Papers, Wiley Blackwell, vol. 56(2), pages 134-162, June.
    16. Kim, Jong-Min & Jung, Hojin, 2017. "Can asymmetric conditional volatility imply asymmetric tail dependence?," Economic Modelling, Elsevier, vol. 64(C), pages 409-418.
    17. Ines Fortin & Christoph Kuzmics, 2002. "Tail‐dependence in stock‐return pairs," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 11(2), pages 89-107, April.
    18. Koirala, Krishna H. & Mishra, Ashok K. & D'Antoni, Jeremy M. & Mehlhorn, Joey E., 2015. "Energy prices and agricultural commodity prices: Testing correlation using copulas method," Energy, Elsevier, vol. 81(C), pages 430-436.
    19. Eduardo F. L. de Melo & Beatriz Vaz de Melo Mendes, 2009. "Local Estimation of Copula Based Value-at-Risk," Brazilian Review of Finance, Brazilian Society of Finance, vol. 7(1), pages 29-50.
    20. Junker, Markus & Szimayer, Alex & Wagner, Niklas, 2006. "Nonlinear term structure dependence: Copula functions, empirics, and risk implications," Journal of Banking & Finance, Elsevier, vol. 30(4), pages 1171-1199, April.
    21. Söehnke Bartram & Stephen Taylor & Yaw-Huei Wang, 2004. "The Euro and European Financial Market Integration," Money Macro and Finance (MMF) Research Group Conference 2004 49, Money Macro and Finance Research Group, revised 13 Oct 2004.
    22. Ane, Thierry & Labidi, Chiraz, 2006. "Spillover effects and conditional dependence," International Review of Economics & Finance, Elsevier, vol. 15(4), pages 417-442.
    23. Beatriz Vaz de Melo Mendes, 2005. "Computing Conditional VaR using Time-varying CopulasComputing Conditional VaR using Time-varying Copulas," Brazilian Review of Finance, Brazilian Society of Finance, vol. 3(2), pages 251-265.
    24. Claudio Morana, 2008. "International stock markets comovements: the role of economic and financial integration," Empirical Economics, Springer, vol. 35(2), pages 333-359, September.
    25. Shlomo Yitzhaki, 2003. "Gini’s Mean difference: a superior measure of variability for non-normal distributions," Metron - International Journal of Statistics, Dipartimento di Statistica, Probabilità e Statistiche Applicate - University of Rome, vol. 0(2), pages 285-316.
    26. Andrew J. Patton, 2006. "Estimation of multivariate models for time series of possibly different lengths," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(2), pages 147-173.
    27. Elie, Bouri & Naji, Jalkh & Dutta, Anupam & Uddin, Gazi Salah, 2019. "Gold and crude oil as safe-haven assets for clean energy stock indices: Blended copulas approach," Energy, Elsevier, vol. 178(C), pages 544-553.
    28. Beatriz V. M. Mendes & Eduardo F. L. De Melo, 2010. "Local Estimation Of Dynamic Copula Models," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 13(02), pages 241-258.
    29. Mirza Nazmul Hasan & Roel Braekers, 2022. "Modelling the association in bivariate survival data by using a Bernstein copula," Computational Statistics, Springer, vol. 37(2), pages 781-815, April.
    30. Patton, Andrew J, 2001. "Estimation of Copula Models for Time Series of Possibly Different Length," University of California at San Diego, Economics Working Paper Series qt3fc1c8hw, Department of Economics, UC San Diego.

  42. Jondeau, E. & Le Bihan, H., 2001. "Testing for a Forward-Looking Phillips Curve. Additional Evidence from European and US Data," Working papers 86, Banque de France.

    Cited by:

    1. Gbaguidi DAVID, 2011. "Expectations Impact On The Effectiveness Of The Inflation-Real Activity Trade-Off," Theoretical and Practical Research in the Economic Fields, ASERS Publishing, vol. 2(2), pages 141-181.
    2. Jondeau, E. & Le Bihan, H., 2003. "ML vs GMM Estimates of Hybrid Macroeconomic Models (With an Application to the New Phillips Curve)," Working papers 103, Banque de France.
    3. Safouane Ben Aïssa & Olivier Musy, 2009. "The Dynamic Properties of Alternative Assumptions on Price Adjustment in New Keynesian Models," Working Papers hal-04140852, HAL.
    4. André Kurmann, 2004. "Maximum Likelihood Estimation of Dynamic Stochastic Theories with an Application to New Keynesian Pricing," Macroeconomics 0409028, University Library of Munich, Germany.
    5. Baghli, M. & Cahn, C. & Fraisse, H., 2006. "Is the Inflation-Output Nexus Asymmetric in the Euro Area?," Working papers 140, Banque de France.
    6. Söderström, Ulf & Söderlind, Paul & Vredin, Anders, 2002. "New-Keynesian Models and Monetary Policy: A Reexamination of the Stylized Facts," SSE/EFI Working Paper Series in Economics and Finance 511, Stockholm School of Economics, revised 01 Oct 2003.
    7. Alain Guay & Florian Pelgrin, 2004. "The U.S. New Keynesian Phillips Curve: An Empirical Assessment," Staff Working Papers 04-35, Bank of Canada.
    8. Maritta Paloviita, 2008. "Comparing alternative Phillips curve specifications: European results with survey-based expectations," Applied Economics, Taylor & Francis Journals, vol. 40(17), pages 2259-2270.
    9. Tristani, Oreste & Vestin, David & Hördahl, Peter, 2004. "A joint econometric model of macroeconomic and term structure dynamics," Working Paper Series 405, European Central Bank.
    10. Nicoletta Batini, 2006. "Euro area inflation persistence," Empirical Economics, Springer, vol. 31(4), pages 977-1002, November.
    11. Mehrotra, Aaron & Peltonen, Tuomas & Santos Rivera, Alvaro, 2010. "Modelling inflation in China--A regional perspective," China Economic Review, Elsevier, vol. 21(2), pages 237-255, June.
    12. Jondeau, Eric & Le Bihan, Hervé, 2008. "Examining bias in estimators of linear rational expectations models under misspecification," Journal of Econometrics, Elsevier, vol. 143(2), pages 375-395, April.
    13. Peter Hoerdahl & Oreste Tristani, 2007. "Inflation risk premia in the term structure of interest rates," BIS Working Papers 228, Bank for International Settlements.
    14. Areosa, Waldyr Dutra & Medeiros, Marcelo, 2007. "Inflation Dynamics in Brazil: The Case of a Small Open Economy," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 27(1), May.
    15. Josef Arlt & Miroslav Plašil, 2005. "Empirical Testing of New Keynesian Phillips Curve in Conditions of the Czech Republic in 1994 - 2003," Prague Economic Papers, Prague University of Economics and Business, vol. 2005(2), pages 117-129.
    16. Gbaguidi, David, 2012. "La courbe de Phillips : temps d’arbitrage et/ou arbitrage de temps," L'Actualité Economique, Société Canadienne de Science Economique, vol. 88(1), pages 87-119, mars.
    17. Ieva Rubene & Paolo Guarda, 2004. "The new Keynesian Phillips curve: empirical results for Luxembourg," BCL working papers 11, Central Bank of Luxembourg.
    18. Muhammad Naveed Tahir, 2011. "Inflation Targeting, Exchange Rate and Financial Globalization," Working Papers halshs-00646601, HAL.
    19. Peter Hördahl & Oreste Tristani & David Vestin, 2006. "The term structure of inflation risk premia and macroeconomic dynamics," Computing in Economics and Finance 2006 203, Society for Computational Economics.
    20. Paloviita, Maritta, 2005. "Comparing alternative Phillips curve specifications: European results with survey-based expectations," Bank of Finland Research Discussion Papers 22/2005, Bank of Finland.
    21. Olivier Basdevant, 2003. "Learning process and rational expectations: an analysis using a small macroeconomic model for New Zealand," Reserve Bank of New Zealand Discussion Paper Series DP2003/05, Reserve Bank of New Zealand.
    22. Muhammad Naveed Tahir, 2011. "Inflation Targeting, Exchange Rate and Financial Globalization," Working Papers 1130, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
    23. Vaona, Andrea, 2006. "Merging the purchasing power parity and the Phillips curve literatures: Regional evidence from Italy," Kiel Working Papers 1282, Kiel Institute for the World Economy (IfW Kiel).
    24. Gautier, E., 2008. "Les ajustements microéconomiques des prix : une synthèse des modèles théoriques et résultats empiriques," Working papers 211, Banque de France.
    25. Leu, Shawn, 2004. "A New Keynesian Perspective of Monetary Policy Implementation in Austr alia," Working Papers 1, University of Sydney, School of Economics.
    26. Peacock, Chris & Baumann, Ursel, 2008. "Globalisation, import prices and inflation dynamics," Bank of England working papers 359, Bank of England.
    27. Basdevant, Olivier, 2005. "Learning process and rational expectations: An analysis using a small macro-economic model for New Zealand," Economic Modelling, Elsevier, vol. 22(6), pages 1074-1089, December.
    28. Tillmann, Peter, 2005. "The New Keynesian Phillips Curve in Europe: does it fit or does it fail?," Discussion Paper Series 1: Economic Studies 2005,04, Deutsche Bundesbank.
    29. Gbaguidi, David Sedo, 2011. "Regime Switching in a New Keynesian Phillips Curve with Non-zero Steady-state Inflation Rate," MPRA Paper 35481, University Library of Munich, Germany.
    30. Söderström, Ulf & Söderlind, Paul & Vredin, Anders, 2002. "Can a Calibrated New-Keynesian Model of Monetary Policy Fit the Facts?," Working Paper Series 140, Sveriges Riksbank (Central Bank of Sweden).
    31. Luca Bindelli, 2005. "Testing the New Keynesian Phillips curve: a frequency domain approach," Money Macro and Finance (MMF) Research Group Conference 2005 69, Money Macro and Finance Research Group.
    32. Mayer, Eric, 2003. "The mechanics of a reasonably fitted quarterly New Keynesian macro model," W.E.P. - Würzburg Economic Papers 41, University of Würzburg, Department of Economics.

  43. Chesnay, F. & Jondeau, E., 2000. "Does Correlation between Stock Returns Really Increase during Turbulent Period?," Working papers 73, Banque de France.

    Cited by:

    1. Zhaoyuan Li & Maozai Tian, 2017. "A New Method For Dynamic Stock Clustering Based On Spectral Analysis," Computational Economics, Springer;Society for Computational Economics, vol. 50(3), pages 373-392, October.
    2. Brière, Marie & Chapelle, Ariane & Szafarz, Ariane, 2012. "No contagion, only globalization and flight to quality," Journal of International Money and Finance, Elsevier, vol. 31(6), pages 1729-1744.
    3. Serge Darolles & Jeremy Dudek & Gaëlle Le Fol, 2014. "Liquidity risk and contagion for liquid funds," Post-Print hal-01632776, HAL.
    4. Yeh, Jin-Huei & Yun, Mu-Shu, 2023. "Assessing jump and cojumps in financial asset returns with applications in futures markets," Pacific-Basin Finance Journal, Elsevier, vol. 82(C).
    5. Silvo Dajcman & Mejra Festic & Alenka Kavkler, 2012. "European stock market comovement dynamics during some major financial market turmoils in the period 1997 to 2010 -- a comparative DCC-GARCH and wavelet correlation analysis," Applied Economics Letters, Taylor & Francis Journals, vol. 19(13), pages 1249-1256, September.
    6. 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).
    7. Serge Darolles & Jeremy Dudek & Gaëlle Le Fol, 2012. "Liquidity Contagion. The Emerging Sovereign Debt Markets example," Post-Print hal-01632803, HAL.
    8. Beine, Michel, 2004. "Conditional covariances and direct central bank interventions in the foreign exchange markets," Journal of Banking & Finance, Elsevier, vol. 28(6), pages 1385-1411, June.
    9. Cakici, Nusret & Shahzad, Syed Jawad Hussain & Będowska-Sójka, Barbara & Zaremba, Adam, 2024. "Machine learning and the cross-section of cryptocurrency returns," International Review of Financial Analysis, Elsevier, vol. 94(C).
    10. Dzanic, Enis & Omerbegovic, Sead, 2014. "Impact Of Volatility And Performance Of Major Stock Markets On Sarajevo Stock Exchange In 2008 – 2012 Period," MPRA Paper 70016, University Library of Munich, Germany.
    11. Annastiina Silvennoinen & Timo Teräsvirta, 2008. "Modelling Multivariate Autoregressive Conditional Heteroskedasticity with the Double Smooth Transition Conditional Correlation GARCH Model," CREATES Research Papers 2008-05, Department of Economics and Business Economics, Aarhus University.
    12. Nicolas Rautureau, 2004. "Modèles à changement de régime et test de la théorie des anticipations rationnelles de la structure par terme des taux dintérêt en France," Économie et Prévision, Programme National Persée, vol. 163(2), pages 117-129.
    13. Radu Lupu, 2014. "Simultaneity of Tail Events for Dynamic Conditional Distributions of Stock Market Index Returns," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 49-64, December.
    14. Dima Rahman, 2009. "Are Banking Systems Increasingly Fragile ? Investigating Financial Institutions’ CDS Returns Extreme Co-Movements," Working Papers hal-04140856, HAL.
    15. Rodriguez, Juan Carlos, 2007. "Measuring financial contagion: A Copula approach," Journal of Empirical Finance, Elsevier, vol. 14(3), pages 401-423, June.
    16. Casarin Roberto & Peruzzi Antonio, 2024. "A Dynamic Latent-Space Model for Asset Clustering," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 28(2), pages 379-402, April.
    17. Narayan, Seema & Doytch, Nadia & Nguyen, Tri Tung & Kluegel, Karl, 2016. "Trade of goods and services and risk sharing ability in international equity markets: Are these substitutes or complements?," International Review of Economics & Finance, Elsevier, vol. 45(C), pages 485-503.
    18. Alderighi, Stefano & Cleary, Siobhan & Varanasi, Padmasai, 2018. "The determinants of cross-border portfolio equity flows: new evidence from emerging markets," Economics Discussion Papers 23310, University of Essex, Department of Economics.
    19. Dalkir, Mehmet, 2009. "Revisiting stock market index correlations," Finance Research Letters, Elsevier, vol. 6(1), pages 23-33, March.
    20. Aityan, Sergey K. & Ivanov-Schitz, Alexey K. & Izotov, Sergey S., 2010. "Time-shift asymmetric correlation analysis of global stock markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 20(5), pages 590-605, December.
    21. Ding, Liang & Huang, Yirong & Pu, Xiaoling, 2014. "Volatility linkage across global equity markets," Global Finance Journal, Elsevier, vol. 25(2), pages 71-89.
    22. Johannes Hauptmann & Anja Hoppenkamps & Aleksey Min & Franz Ramsauer & Rudi Zagst, 2014. "Forecasting market turbulence using regime-switching models," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 28(2), pages 139-164, May.
    23. Alderighi, Stefano & Cleary, Siobhan & Varanasi, Padmasai, 2019. "Do institutional factors influence cross-border portfolio equity flows? New evidence from emerging markets," Journal of International Money and Finance, Elsevier, vol. 99(C).
    24. Christos Kollias & Stephanos Papadamou & Costas Siriopoulos, 2013. "European Markets’ Reactions to Exogenous Shocks: A High Frequency Data Analysis of the 2005 London Bombings," IJFS, MDPI, vol. 1(4), pages 1-14, November.
    25. Tiwari, Aviral Kumar & Mutascu, Mihai Ioan & Albulescu, Claudiu Tiberiu, 2016. "Continuous wavelet transform and rolling correlation of European stock markets," International Review of Economics & Finance, Elsevier, vol. 42(C), pages 237-256.
    26. Nelson Areal & Benilde Oliveira & Raquel Sampaio, 2015. "When times get tough, gold is golden," The European Journal of Finance, Taylor & Francis Journals, vol. 21(6), pages 507-526, April.
    27. Silvennoinen, Annastiina & Teräsvirta, Timo, 2005. "Multivariate Autoregressive Conditional Heteroskedasticity with Smooth Transitions in Conditional Correlations," SSE/EFI Working Paper Series in Economics and Finance 577, Stockholm School of Economics, revised 01 Oct 2005.
    28. Campbell, Rachel A.J. & Forbes, Catherine S. & Koedijk, Kees G. & Kofman, Paul, 2008. "Increasing correlations or just fat tails?," Journal of Empirical Finance, Elsevier, vol. 15(2), pages 287-309, March.
    29. Rajan Sruthi & Santhakumar Shijin, 2020. "Investigating liquidity constraints as a channel of contagion: a regime switching approach," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-21, December.
    30. Olbryś Joanna & Majewska Elżbieta, 2015. "Testing Integration Effects Between the Cee and U.S. Stock Markets During the 2007–2009 Global Financial Crisis," Folia Oeconomica Stetinensia, Sciendo, vol. 15(1), pages 101-113, June.
    31. Jondeau, Eric & Rockinger, Michael, 2006. "The Copula-GARCH model of conditional dependencies: An international stock market application," Journal of International Money and Finance, Elsevier, vol. 25(5), pages 827-853, August.
    32. de Bandt, Olivier & Hartmann, Philipp, 2000. "Systemic Risk: A Survey," CEPR Discussion Papers 2634, C.E.P.R. Discussion Papers.
    33. Pami Dua & Divya Tuteja, 2021. "Regime Shifts in the Behaviour of International Currency and Equity Markets: A Markov-Switching Analysis," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(1), pages 309-336, December.
    34. Reboredo, Juan C. & Tiwari, Aviral Kumar & Albulescu, Claudiu Tiberiu, 2015. "An analysis of dependence between Central and Eastern European stock markets," Economic Systems, Elsevier, vol. 39(3), pages 474-490.
    35. Serge Darolles & Jeremy Dudek & Gaëlle Le Fol, 2014. "Contagion in Emerging Markets," Post-Print hal-01632778, HAL.
    36. Iraj J. Fooladi & John Rumsey, 2006. "Globalization and portfolio risk over time: The role of exchange rate," Review of Financial Economics, John Wiley & Sons, vol. 15(3), pages 223-236.
    37. Li, Xiafei & Wei, Yu, 2018. "The dependence and risk spillover between crude oil market and China stock market: New evidence from a variational mode decomposition-based copula method," Energy Economics, Elsevier, vol. 74(C), pages 565-581.
    38. Wai‐Sum Chan & Li‐Xin Zhang & Siu Hung Cheung, 2009. "Temporal aggregation of Markov‐switching financial return models," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 25(3), pages 359-383, May.
    39. Annastiina Silvennoinen & Timo Teräsvirta, 2012. "Modelling conditional correlations of asset returns: A smooth transition approach," CREATES Research Papers 2012-09, Department of Economics and Business Economics, Aarhus University.
    40. Toni Gravelle & Maral Kichian & James Morley, 2003. "Shift Contagion in Asset Markets," Staff Working Papers 03-5, Bank of Canada.
    41. Anna Czapkiewicz & Pawel Jamer & Joanna Landmesser, 2018. "Effects of Macroeconomic Indicators on the Financial Markets Interrelations," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 68(3), pages 268-293, July.
    42. Saleem, Kashif, 2009. "International linkage of the Russian market and the Russian financial crisis: A multivariate GARCH analysis," Research in International Business and Finance, Elsevier, vol. 23(3), pages 243-256, September.
    43. Dudek, Jérémy, 2013. "Illiquidité, contagion et risque systémique," Economics Thesis from University Paris Dauphine, Paris Dauphine University, number 123456789/13236 edited by Le Fol, Gaëlle.
    44. Saleem, Kashif, 2008. "International linkage of the Russian market and the Russian financial crisis: a multivariate GARCH analysis," BOFIT Discussion Papers 8/2008, Bank of Finland Institute for Emerging Economies (BOFIT).
    45. Eric Jondeau & Michael Rockinger, 2002. "Conditional Dependency of Financial Series: The Copula-GARCH Model," FAME Research Paper Series rp69, International Center for Financial Asset Management and Engineering.
    46. Michel Beine & Pierre-Yves Preumont & Ariane Szafarz, 2006. "Sector diversification during crises: a European perspective," DULBEA Working Papers 06-07.RS, ULB -- Universite Libre de Bruxelles.
    47. Martin Hess, 2006. "Timing and diversification: A state-dependent asset allocation approach," The European Journal of Finance, Taylor & Francis Journals, vol. 12(3), pages 189-204.
    48. Seema Narayan, 2019. "The Influence of Domestic and Foreign Shocks on Portfolio Diversification Gains and the Associated Risks," JRFM, MDPI, vol. 12(4), pages 1-26, October.
    49. Suman Das & Saikat Sinha Roy, 2021. "Predicting regime switching in BRICS currency volatility: a Markov switching autoregressive approach," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 48(2), pages 165-180, June.
    50. Hyeong Kyu Choi, 2018. "Stock Price Correlation Coefficient Prediction with ARIMA-LSTM Hybrid Model," Papers 1808.01560, arXiv.org, revised Oct 2018.

  44. Jondeau, E. & Le Bihan, H., 2000. "Evaluating Monetary Policy Rules in Estimated Forward-Looking Models: A Comparison of US and German Monetary Policies," Working papers 76, Banque de France.

    Cited by:

    1. Pei-Tha Gan, 2014. "The Optimal Economic Uncertainty Index: A Grid Search Application," Computational Economics, Springer;Society for Computational Economics, vol. 43(2), pages 159-182, February.
    2. Marc-Alexandre Sénégas, 2002. "La politique monétaire face à l'incertitude : un survol méthodologique des contributions relatives à la zone euro," Revue d'Économie Financière, Programme National Persée, vol. 65(1), pages 177-200.
    3. Grégory Levieuge & Yannick Lucotte, 2014. "A Simple Empirical Measure of Central Banks' Conservatism," Southern Economic Journal, John Wiley & Sons, vol. 81(2), pages 409-434, October.
    4. JACQUINOT Pascal & MIHOUBI Ferhat, 2010. "The Optimality of the Taylor Rule in MARCOS: Some Deterministic and Stochastic Experiments," EcoMod2003 330700073, EcoMod.
    5. Hervé Le Bihan, 2004. "Tests de rupture : une application au PIB tendanciel français," Economie & Prévision, La Documentation Française, vol. 163(2), pages 133-154.
    6. Grégory LEVIEUGE & Yannick LUCOTTE, 2012. "A Simple Empirical Measure of Central Bank' Conservatism," LEO Working Papers / DR LEO 2258, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
    7. Luís, Pacheco, 2004. "Asset Prices and Monetary Policy in the Euro Area: a tentative model," MPRA Paper 6579, University Library of Munich, Germany.
    8. Patra, Michael Debabrata & Khundrakpam, Jeevan Kumar & Gangadaran, Sivaramakrishnan, 2017. "The quest for optimal monetary policy rules in India," Journal of Policy Modeling, Elsevier, vol. 39(2), pages 349-370.
    9. Rizki E. Wimanda & Paul M. Turner & Maximilian J.B. Hall, 2012. "Monetary policy rules for Indonesia: which type is the most efficient?," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 39(4), pages 469-484, August.
    10. Yu Hsing, 2005. "Application of the IS-MP-IA model to the German economy and policy implications," Economics Bulletin, AccessEcon, vol. 15(5), pages 1-10.

  45. ROCKINGER, Michael & JONDEAU, Eric, 2000. "Entropy densities," HEC Research Papers Series 709, HEC Paris.

    Cited by:

    1. Massimo Guidolin, 2011. "Markov Switching Models in Empirical Finance," Working Papers 415, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    2. Bertholon, H. & Monfort, A. & Pegoraro, F., 2007. "Pricing and Inference with Mixtures of Conditionally Normal Processes," Working papers 188, Banque de France.
    3. ROCKINGER, Michael & JONDEAU, Eric, 2001. "Conditional dependency of financial series : an application of copulas," HEC Research Papers Series 723, HEC Paris.
    4. Cayton, Peter Julian A. & Mapa, Dennis S., 2012. "Time-varying conditional Johnson SU density in value-at-risk (VaR) methodology," MPRA Paper 36206, University Library of Munich, Germany.
    5. POON, Ser-Huang & ROCKINGER, Michael & TAWN, Jonathan, 2001. "New Extreme-Value Dependance Measures and Finance Applications," HEC Research Papers Series 719, HEC Paris.

  46. Jondeau, E. & Rockinger, M., 2000. "Conditional Volatility, Skewness, and Kurtosis: Existence and Persistence," Working papers 77, Banque de France.

    Cited by:

    1. Chris Brooks & Simon P. Burke & Gita Persand, 2002. "Augoregressive Conditional Kurtosis," ICMA Centre Discussion Papers in Finance icma-dp2002-05, Henley Business School, University of Reading.
    2. Tao Pham Dinh & Yi-Shuai Niu, 2011. "An efficient DC programming approach for portfolio decision with higher moments," Computational Optimization and Applications, Springer, vol. 50(3), pages 525-554, December.
    3. Leon, Angel & Rubio, Gonzalo & Serna, Gregorio, 2005. "Autoregresive conditional volatility, skewness and kurtosis," The Quarterly Review of Economics and Finance, Elsevier, vol. 45(4-5), pages 599-618, September.
    4. ROCKINGER, Michael & JONDEAU, Eric, 2001. "Conditional dependency of financial series : an application of copulas," HEC Research Papers Series 723, HEC Paris.
    5. Onour, Ibrahim, 2008. "Forward-Looking Beta Estimates:Evidence from an Emerging Market," MPRA Paper 14992, University Library of Munich, Germany.
    6. Andrei Leonidov & Vladimir Trainin & Alexander Zaitsev & Sergey Zaitsev, 2006. "Market Mill Dependence Pattern in the Stock Market: Asymmetry Structure, Nonlinear Correlations and Predictability," Papers physics/0601098, arXiv.org, revised Jan 2006.
    7. Ibrahim Onour, "undated". "Exploring Stability of Systematic Risk: Sectoral Portfolio Analysis," API-Working Paper Series 1002, Arab Planning Institute - Kuwait, Information Center.
    8. Ángel León & Gonzalo Rubio & Gregorio Serna, 2004. "Autoregressive Conditional Volatility, Skewness And Kurtosis," Working Papers. Serie AD 2004-13, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    9. Hübner, Georges & Lejeune, Thomas, 2021. "Mental accounts with horizon and asymmetry preferences," Economic Modelling, Elsevier, vol. 103(C).
    10. Mantalos, Panagiotis & Karagrigoriou, Alex, 2012. "Testing For Skewness In Ar Conditional Volatility Models For Financial Return Series," Working Papers 2012:4, Örebro University, School of Business.
    11. Dr. Ibrahim Onour, "undated". "The Global Financial Crisis and Equity Markets in Middle East Oil Exporting Countries," API-Working Paper Series 1009, Arab Planning Institute - Kuwait, Information Center.

  47. Avouyi-Dovi, S. & Jondeau, E., 1999. "Interest Rate Transmission and Volatility Transmission along the Yield Curve," Working papers 57, Banque de France.

    Cited by:

    1. Mr. Emre Alper & Rogelio Morales & Mr. Fan Yang, 2016. "Monetary Policy Implementation and Volatility Transmission along the Yield Curve: The Case of Kenya," IMF Working Papers 2016/120, International Monetary Fund.
    2. Chen, Zhengyang, 2019. "The Long-term Rate and Interest Rate Volatility in Monetary Policy Transmission," MPRA Paper 96339, University Library of Munich, Germany.

  48. Jondeau, E. & Le Bihan, H. & Sedillot, F., 1999. "Modelisation et prevision des indices de prix sectoriels," Working papers 68, Banque de France.

    Cited by:

    1. Kitov, Ivan & KItov, Oleg, 2013. "Does Banque de France control inflation and unemployment?," MPRA Paper 50239, University Library of Munich, Germany.
    2. Bruneau, C. & De Bandt, O. & Flageollet, A., 2003. "Forecasting Inflation in the Euro Area," Working papers 102, Banque de France.
    3. Baghli, M. & Brunhes-Lesage, V. & De Bandt, O. & Fraisse, H. & Villetelle, J-P., 2003. "Le modèle de prévision MASCOTTE pour l’économie française : principales propriétés et résultats de variantes," Bulletin de la Banque de France, Banque de France, issue 118, pages 63-86.

  49. Jondeau, E. & Rockinger, M., 1999. "The Tail Behavior of Sotck Returns: Emerging Versus Mature Markets," Working papers 66, Banque de France.

    Cited by:

    1. 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).
    2. Wagner, Niklas & Marsh, Terry A., 2005. "Measuring tail thickness under GARCH and an application to extreme exchange rate changes," Journal of Empirical Finance, Elsevier, vol. 12(1), pages 165-185, January.
    3. Sornette, Didier, 2001. "Fokker–Planck equation of distributions of financial returns and power laws," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 290(1), pages 211-217.
    4. Timotheos Angelidis & Alexandros Benos & Stavros Degiannakis, 2007. "A robust VaR model under different time periods and weighting schemes," Review of Quantitative Finance and Accounting, Springer, vol. 28(2), pages 187-201, February.
    5. 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.
    6. 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.
    7. Lux, Thomas, 2008. "Stochastic behavioral asset pricing models and the stylized facts," Economics Working Papers 2008-08, Christian-Albrechts-University of Kiel, Department of Economics.
    8. Kaizoji, Taisei & Leiss, Matthias & Saichev, Alexander & Sornette, Didier, 2015. "Super-exponential endogenous bubbles in an equilibrium model of fundamentalist and chartist traders," Journal of Economic Behavior & Organization, Elsevier, vol. 112(C), pages 289-310.
    9. 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.
    10. Mr. James Y. Yao & Mr. Jorge A Chan-Lau & Mr. Donald J Mathieson, 2002. "Extreme Contagion in Equity Markets," IMF Working Papers 2002/098, International Monetary Fund.
    11. Pontines, Victor & Siregar, Reza, 2007. "The Yen, the US dollar, and the trade weighted basket of currencies: Does the choice of anchor currencies matter in identifying incidences of speculative attacks?," Japan and the World Economy, Elsevier, vol. 19(2), pages 214-235, March.
    12. Evis Këllezi & Manfred Gilli, 2000. "Extreme Value Theory for Tail-Related Risk Measures," FAME Research Paper Series rp18, International Center for Financial Asset Management and Engineering.
    13. Timotheos Angelidis & Alexandros Benos, 2008. "Value-at-Risk for Greek Stocks," Multinational Finance Journal, Multinational Finance Journal, vol. 12(1-2), pages 67-104, March-Jun.
    14. Heng-Chih Chou & David K. Wang, 2014. "Estimation of tail-related value-at-risk measures: range-based extreme value approach," Quantitative Finance, Taylor & Francis Journals, vol. 14(2), pages 293-304, February.
    15. 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.
    16. Gu, Zhiye & Ibragimov, Rustam, 2018. "The “Cubic Law of the Stock Returns” in emerging markets," Journal of Empirical Finance, Elsevier, vol. 46(C), pages 182-190.
    17. 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.
    18. Abhay K. Singh & David E. Allen & Robert J. Powell, 2017. "Tail dependence analysis of stock markets using extreme value theory," Applied Economics, Taylor & Francis Journals, vol. 49(45), pages 4588-4599, September.

  50. Jondeau, E. & Rockinger, M., 1999. "Estimating Gram-Charlier Expansions with Positivity Constraints," Working papers 56, Banque de France.

    Cited by:

    1. Jacques Pézier, 2011. "Rationalization of Investment Preference Criteria," ICMA Centre Discussion Papers in Finance icma-dp2011-12, Henley Business School, University of Reading.

  51. Jondeau, E. & Ricart, R., 1999. "The Information Content of the French and German Government Bond Tield Curves: Why Such Differences?," Working papers 61, Banque de France.

    Cited by:

    1. Nicolas Rautureau, 2004. "Modèles à changement de régime et test de la théorie des anticipations rationnelles de la structure par terme des taux dintérêt en France," Économie et Prévision, Programme National Persée, vol. 163(2), pages 117-129.

  52. Coutant, Sophie & Jondeau, Eric & Rockinger, Michael, 1998. "Reading Interest Rate and Bond Futures Options' Smiles Around the 1997 French Snap Election," CEPR Discussion Papers 2010, C.E.P.R. Discussion Papers.

    Cited by:

    1. Roy Stein & Yoel Hecht, 2003. "Distribution of the Exchange Rate Implicit in Option Prices: Application to TASE," Bank of Israel Working Papers 2003.05b, Bank of Israel.
    2. Wan-Ni Lai, 2014. "Comparison of methods to estimate option implied risk-neutral densities," Quantitative Finance, Taylor & Francis Journals, vol. 14(10), pages 1839-1855, October.

  53. Jondeau, Eric & Rockinger, Michael, 1998. "Reading the Smile: The Message Conveyed by Methods which Infer Risk Neutral Densities," CEPR Discussion Papers 2009, C.E.P.R. Discussion Papers.

    Cited by:

    1. Halil Ibrahim Aydin & Ahmet Degerli & Pinar Ozlu, 2010. "Recovering Risk-Neutral Densities from Exchange Rate Options: Evidence in Turkey (Kur Opsiyonlarindan Riske Duyarsiz Yogunluk Fonksiyonu Cikarimi: Turkiye Ornegi)," Working Papers 1003, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    2. Jurczenko, Emmanuel & Maillet, Bertrand & Negrea, Bogdan, 2002. "Revisited multi-moment approximate option pricing models: a general comparison (Part 1)," LSE Research Online Documents on Economics 24950, London School of Economics and Political Science, LSE Library.
    3. Keller, Joachim & Glatzer, Ernst & Craig, Ben R. & Scheicher, Martin, 2003. "The Forecasting Performance of German Stock Option Densities," Discussion Paper Series 1: Economic Studies 2003,17, Deutsche Bundesbank.
    4. Pedro Serrano & Antoni Vaello‐Sebastià & M. Magdalena Vich Llompart, 2024. "International evidence of the forecasting ability of option‐implied distributions," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(5), pages 1447-1464, August.
    5. Alexandre Ziegler, 2007. "Why Does Implied Risk Aversion Smile?," The Review of Financial Studies, Society for Financial Studies, vol. 20(3), pages 859-904.
    6. Deepa Dhume Datta & Juan M. Londono & Landon J. Ross, 2014. "Generating Options-Implied Probability Densities to Understand Oil Market Events," International Finance Discussion Papers 1122, Board of Governors of the Federal Reserve System (U.S.).
    7. Bernardo Guimaraes, 2008. "Vulnerability of Currency Pegs: Evidence from Brazil," CEP Discussion Papers dp0871, Centre for Economic Performance, LSE.
    8. Peter Christoffersen & Kris Jacobs & Bo Young Chang, 2011. "Forecasting with Option Implied Information," CREATES Research Papers 2011-46, Department of Economics and Business Economics, Aarhus University.
    9. Marian Micu, 2005. "Extracting expectations from currency option prices: a comparison of methods," Computing in Economics and Finance 2005 226, Society for Computational Economics.
    10. Funke, Michael & Loermann, Julius & Tsang, Andrew, 2017. "The information content in the offshore Renminbi foreign-exchange option market: Analytics and implied USD/CNH densities," BOFIT Discussion Papers 15/2017, Bank of Finland Institute for Emerging Economies (BOFIT).
    11. Bertholon, H. & Monfort, A. & Pegoraro, F., 2007. "Pricing and Inference with Mixtures of Conditionally Normal Processes," Working papers 188, Banque de France.
    12. José Da Fonseca & Edem Dawui, 2021. "Semivariance and semiskew risk premiums in currency markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(3), pages 290-324, March.
    13. Cortés, Lina M. & Mora-Valencia, Andrés & Perote, Javier, 2020. "Retrieving the implicit risk neutral density of WTI options with a semi-nonparametric approach," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    14. Arturo Leccadito & Pietro Toscano & Radu S. Tunaru, 2012. "Hermite Binomial Trees: A Novel Technique For Derivatives Pricing," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 15(08), pages 1-36.
    15. Marcello Pericoli, 2005. "Can option smiles forecast changes in interest rates? An application to the US, the UK and the euro area," Temi di discussione (Economic working papers) 545, Bank of Italy, Economic Research and International Relations Area.
    16. Maxim Ulrich & Lukas Zimmer & Constantin Merbecks, 2023. "Implied volatility surfaces: a comprehensive analysis using half a billion option prices," Review of Derivatives Research, Springer, vol. 26(2), pages 135-169, October.
    17. Garcia, Rene & Gencay, Ramazan, 2000. "Pricing and hedging derivative securities with neural networks and a homogeneity hint," Journal of Econometrics, Elsevier, vol. 94(1-2), pages 93-115.
    18. Roy Stein & Yoel Hecht, 2003. "Distribution of the Exchange Rate Implicit in Option Prices: Application to TASE," Bank of Israel Working Papers 2003.05b, Bank of Israel.
    19. Chen, Ren-Raw & Hsieh, Pei-lin & Huang, Jeffrey, 2018. "Crash risk and risk neutral densities," Journal of Empirical Finance, Elsevier, vol. 47(C), pages 162-189.
    20. Irving Fisher Committee, 2003. "Proceedings of the IFC Conference on "Challenges to Central Bank Statistical Activities", Basel, August 2002," IFC Bulletins, Bank for International Settlements, number 14.
    21. Vahamaa, Sami, 2005. "Option-implied asymmetries in bond market expectations around monetary policy actions of the ECB," Journal of Economics and Business, Elsevier, vol. 57(1), pages 23-38.
    22. Morel, Christophe & Teïletche, Jérôme, 2008. "Do interventions in foreign exchange markets modify investors' expectations? The experience of Japan between 1992 and 2004," Journal of Empirical Finance, Elsevier, vol. 15(2), pages 211-231, March.
    23. Kabir K. Dutta & David F. Babbel, 2002. "Extracting Probabilistic Information from the Prices of Interest Rate Options: Tests of Distributional Assumptions," Center for Financial Institutions Working Papers 02-26, Wharton School Center for Financial Institutions, University of Pennsylvania.
    24. Grith, Maria & Krätschmer, Volker, 2010. "Parametric estimation of risk neutral density functions," SFB 649 Discussion Papers 2010-045, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    25. Marie Briere, 2006. "Market Reactions to Central Bank Communication Policies :Reading Interest Rate Options Smiles," Working Papers CEB 38, ULB -- Universite Libre de Bruxelles.
    26. Bogdan Negrea & Bertrand Maillet & Emmanuel Jurczenko, 2002. "Revisited Multi-moment Approximate Option," FMG Discussion Papers dp430, Financial Markets Group.
    27. Martin Mandler, 2002. "Extracting Market Expectations from Option Prices: Two Case Studies in Market Perceptions of the ECB's Monetary Policy 1999/2000," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 138(II), pages 165-189, June.
    28. Marie Brière & Kamal Chancari, 2004. "Perception des risques sur les marchés, construction d'un indice élaboré à partir des smiles d'options et test de stratégies," Revue d'économie politique, Dalloz, vol. 114(4), pages 527-555.
    29. Andreou, Panayiotis C. & Charalambous, Chris & Martzoukos, Spiros H., 2010. "Generalized parameter functions for option pricing," Journal of Banking & Finance, Elsevier, vol. 34(3), pages 633-646, March.
    30. Coutant, Sophie & Jondeau, Eric & Rockinger, Michael, 2001. "Reading PIBOR futures options smiles: The 1997 snap election," Journal of Banking & Finance, Elsevier, vol. 25(11), pages 1957-1987, November.
    31. Äijö, Janne, 2008. "Impact of US and UK macroeconomic news announcements on the return distribution implied by FTSE-100 index options," International Review of Financial Analysis, Elsevier, vol. 17(2), pages 242-258.
    32. Nikkinen, Jussi, 2003. "Normality tests of option-implied risk-neutral densities: evidence from the small Finnish market," International Review of Financial Analysis, Elsevier, vol. 12(2), pages 99-116.
    33. Salazar Celis, Oliver & Liang, Lingzhi & Lemmens, Damiaan & Tempère, Jacques & Cuyt, Annie, 2015. "Determining and benchmarking risk neutral distributions implied from option prices," Applied Mathematics and Computation, Elsevier, vol. 258(C), pages 372-387.
    34. Maxim Ulrich & Simon Walther, 2020. "Option-implied information: What’s the vol surface got to do with it?," Review of Derivatives Research, Springer, vol. 23(3), pages 323-355, October.
    35. Xixuan Han & Boyu Wei & Hailiang Yang, 2018. "Index Options And Volatility Derivatives In A Gaussian Random Field Risk-Neutral Density Model," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 21(04), pages 1-41, June.
    36. Guimaraes, Bernardo, 2007. "Currency Crisis Triggers: Sunspots or Thresholds?," CEPR Discussion Papers 6487, C.E.P.R. Discussion Papers.
    37. Alexandre Ziegler, 2002. "Why does Implied Risk Aversion Smile?," FAME Research Paper Series rp47, International Center for Financial Asset Management and Engineering.
    38. Glatzer, Ernst & Scheicher, Martin, 2003. "Modelling the implied probability of stock market movements," Working Paper Series 212, European Central Bank.
    39. J. C. Arismendi & Marcel Prokopczuk, 2016. "A moment-based analytic approximation of the risk-neutral density of American options," Applied Mathematical Finance, Taylor & Francis Journals, vol. 23(6), pages 409-444, November.
    40. Liu, Xiaoquan & Shackleton, Mark B. & Taylor, Stephen J. & Xu, Xinzhong, 2007. "Closed-form transformations from risk-neutral to real-world distributions," Journal of Banking & Finance, Elsevier, vol. 31(5), pages 1501-1520, May.
    41. Ruijun Bu & Kaddour Hadri, 2005. "Estimating the Risk Neutral Probability Density Functions Natural Spline versus Hypergeometric Approach Using European Style Options," Working Papers 200510, University of Liverpool, Department of Economics.
    42. Fleming, Euan & Villano, Renato & Williamson, Brendon, 2013. "Structuring Exotic Options Contracts on Water to Improve the Efficiency of Resource Allocation in the Australian Water Market," Papers 234295, University of Melbourne, Melbourne School of Land and Environment.
    43. Bernardo Guimaraes, 2005. "Market Expectations and Currency Crises: Theory and Empirics," 2005 Meeting Papers 174, Society for Economic Dynamics.
    44. Lina M. Cortés & Javier Perote & Andrés Mora-Valencia, 2017. "Implicit probability distribution for WTI options: The Black Scholes vs. the semi-nonparametric approach," Documentos de Trabajo de Valor Público 15923, Universidad EAFIT.
    45. Rihab Bedoui & Haykel Hamdi, 2010. "Implied Risk-Neutral probability Density functions from options prices : A comparison of estimation methods," EconomiX Working Papers 2010-16, University of Paris Nanterre, EconomiX.
    46. Jondeau, E. & Rockinger, M., 1999. "Estimating Gram-Charlier Expansions with Positivity Constraints," Working papers 56, Banque de France.
    47. Williamson, Brendon & Villano, Renato A. & Fleming, Euan M., 2008. "Structuring Exotic Options Contracts on Water to Improve the Efficiency of Resource Allocation in the Water Spot Market," 2008 Conference (52nd), February 5-8, 2008, Canberra, Australia 5992, Australian Agricultural and Resource Economics Society.
    48. Nessim Souissi, 2017. "The Implied Risk Neutral Density Dynamics: Evidence from the S&P TSX 60 Index," Journal of Applied Mathematics, Hindawi, vol. 2017, pages 1-10, June.
    49. Rihab Bedoui & Haykel Hamdi, 2010. "Implied Risk-Neutral probability Density functions from options prices: A comparison of estimation methods," Working Papers hal-04140913, HAL.
    50. Luis Ceballos, 2010. "Implied Probability Distribution in Financial Options," Working Papers Central Bank of Chile 596, Central Bank of Chile.
    51. Xiaoquan Liu, 2007. "Bid-ask spread, strike prices and risk-neutral densities," Applied Financial Economics, Taylor & Francis Journals, vol. 17(11), pages 887-900.

  54. Coutant, S. & Jondeau, E. & Rockinger, M., 1998. "Reading Interest Rate and Bond Futures Options' Smiles: How PIBOR and National Operators Appreciated the 1997 French Snap Election," Working papers 54, Banque de France.

    Cited by:

    1. Roy Stein & Yoel Hecht, 2003. "Distribution of the Exchange Rate Implicit in Option Prices: Application to TASE," Bank of Israel Working Papers 2003.05b, Bank of Israel.
    2. Martin Mandler, 2002. "Extracting Market Expectations from Option Prices: Two Case Studies in Market Perceptions of the ECB's Monetary Policy 1999/2000," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 138(II), pages 165-189, June.
    3. de Vincent-Humphreys, Rupert & Puigvert Gutiérrez, Josep Maria, 2010. "A quantitative mirror on the Euribor market using implied probability density functions," Working Paper Series 1281, European Central Bank.
    4. Wan-Ni Lai, 2014. "Comparison of methods to estimate option implied risk-neutral densities," Quantitative Finance, Taylor & Francis Journals, vol. 14(10), pages 1839-1855, October.

  55. Jondeau, E. & Rockinger, M., 1998. "Reading the Smile: The Message Conveyed by Methods Which Infer Risk Neutral," Working papers 47, Banque de France.

    Cited by:

    1. Grith, Maria & Krätschmer, Volker, 2010. "Parametric estimation of risk neutral density functions," SFB 649 Discussion Papers 2010-045, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    2. Rihab Bedoui & Haykel Hamdi, 2010. "Implied Risk-Neutral probability Density functions from options prices : A comparison of estimation methods," EconomiX Working Papers 2010-16, University of Paris Nanterre, EconomiX.
    3. Jondeau, E. & Rockinger, M., 1999. "Estimating Gram-Charlier Expansions with Positivity Constraints," Working papers 56, Banque de France.

  56. Bruneau, C. & Jondeau, E., 1998. "Long-Run Causality, with an Application to International Links Between Long-Term Interest Rates," Working papers 53, Banque de France.

    Cited by:

    1. Les Oxley & Marco Reale & Granville Tunnicliffe Wilson, 2008. "Constructing Structural VAR Models with Conditional Independence Graphs," Working Papers in Economics 08/19, University of Canterbury, Department of Economics and Finance.
    2. Heimonen, Kari, 2001. "Substituting a substitute currency: The case of Estonia," BOFIT Discussion Papers 11/2001, Bank of Finland Institute for Emerging Economies (BOFIT).
    3. Strauch, Rolf & Paesani, Paolo & Kremer, Manfred, 2006. "Public debt and long-term interest rates: the case of Germany, Italy and the USA," Working Paper Series 656, European Central Bank.
    4. Yiannis Kamarianakis & Vagelis Kaslis, 2005. "Geographical competition-complementarity relationships between Greek regional economies," ERSA conference papers ersa05p552, European Regional Science Association.
    5. Kari Heimonen, 2002. "Substituting a Substitute Currency – The Case of Estonia," International Finance 0209003, University Library of Munich, Germany.
    6. Al-Sadoon, M.M., 2009. "Causality Along Subspaces: Theory," Cambridge Working Papers in Economics 0919, Faculty of Economics, University of Cambridge.
    7. van Tilburg, Aad & Kuiper, W. Erno & Swinkels, Rob, 2006. "Market Performance of Potato Auctions in Bhutan," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25520, International Association of Agricultural Economists.
    8. Paolo Paruolo, 2006. "The Likelihood Ratio Test for the Rank of a Cointegration Submatrix," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 68(s1), pages 921-948, December.
    9. Fanelli, Luca & Paruolo, Paolo, 2007. "Speed of Adjustment in Cointegrated Systems," MPRA Paper 9174, University Library of Munich, Germany.
    10. William J. Crowder, 2020. "Does the Fed Control Trend Inflation?," Annals of Economics and Finance, Society for AEF, vol. 21(2), pages 241-261, November.

  57. Michael Rockinger & Eric Jondeau, 1998. "Estimating Gram-Charlier Expansions Under Positivity Constraints," Working Papers hal-00601500, HAL.

    Cited by:

    1. Kyriakos Chourdakis, 2002. "Continuous Time Regime Switching Models and Applications in Estimating Processes with Stochastic Volatility and Jumps," Working Papers 464, Queen Mary University of London, School of Economics and Finance.

  58. Jondeau, E. & Ricart, R., 1997. "Le contenu en information de la pente des taux : application au cas des titres publics français," Working papers 43, Banque de France.

    Cited by:

    1. Jondeau, E. & Sedillot, F., 1998. "La prevision des taux longs français et allemands a partir d'un modele a anticipations rationnelles," Working papers 55, Banque de France.
    2. Nicolas Rautureau, 2004. "Modèles à changement de régime et test de la théorie des anticipations rationnelles de la structure par terme des taux dintérêt en France," Économie et Prévision, Programme National Persée, vol. 163(2), pages 117-129.
    3. Jondeau, E. & Ricart, R., 1997. "La théorie des anticipations de la structure par terme : test à partir des titres publics français," Working papers 45, Banque de France.
    4. Rossi, Giovanni, 2004. "Euro Weakness in the Late Nineties," MPRA Paper 90272, University Library of Munich, Germany.
    5. Chopin, Nicolas & Pelgrin, Florian, 2004. "Bayesian inference and state number determination for hidden Markov models: an application to the information content of the yield curve about inflation," Journal of Econometrics, Elsevier, vol. 123(2), pages 327-344, December.

  59. Michael Rockinger & Eric Jondeau, 1997. "Estimation et interprétation des densités neutres au risque: une comparaison de méthodes," Working Papers hal-00601588, HAL.

    Cited by:

    1. Gunther Capelle-Blancard & Emmanuel Jurczenko, 2000. "Une application de la formule de Jarrow et Rudd aux options sur indice CAC 40," Post-Print halshs-03723832, HAL.

  60. Jondeau, E. & Ricart, R., 1997. "La théorie des anticipations de la structure par terme : test à partir des titres publics français," Working papers 45, Banque de France.

    Cited by:

    1. Nicolas Rautureau, 2004. "Modèles à changement de régime et test de la théorie des anticipations rationnelles de la structure par terme des taux dintérêt en France," Économie et Prévision, Programme National Persée, vol. 163(2), pages 117-129.

  61. Jondeau, E. & Ricart, R., 1996. "The Expectation Theory: Tests on French, German, and American Euro-Rates," Working papers 35, Banque de France.

    Cited by:

    1. Stefan Gerlach & Frank Smets, 1997. "Exchange rate regimes and the expectations hypothesis of the term structure," BIS Working Papers 43, Bank for International Settlements.
    2. Jondeau, E. & Sedillot, F., 1998. "La prevision des taux longs français et allemands a partir d'un modele a anticipations rationnelles," Working papers 55, Banque de France.
    3. Jondeau, E. & Ricart, R., 1999. "The Information Content of the French and German Government Bond Tield Curves: Why Such Differences?," Working papers 61, Banque de France.
    4. Nagayasu, Jun, 2002. "On the term structure of interest rates and inflation in Japan," Journal of Economics and Business, Elsevier, vol. 54(5), pages 505-523.

  62. Jondeau, E. & Nocolai, J.P., 1993. "Modelisation du prix des actifs financiers," Papers 1993-16-f, Caisse des Depots et Consignations - Cahiers de recherche.

    Cited by:

    1. Stéphanie Guichard, 1998. "La politique monétaire et la crise japonaise," Working Papers 1998-06, CEPII research center.

  63. Jacq, P. & Jondeau, E. & Sedillot, F., 1993. "Les politiques monetaires au sein du SME," Papers 1993-13-f, Caisse des Depots et Consignations - Cahiers de recherche.

    Cited by:

    1. Jondeau, E. & Sedillot, F., 1998. "La prevision des taux longs français et allemands a partir d'un modele a anticipations rationnelles," Working papers 55, Banque de France.
    2. Marie Podevin, 2001. "Interaction entre taux d'intérêt allemands et français : un réexamen de l'hypothèse de dominance allemande," Économie et Prévision, Programme National Persée, vol. 148(2), pages 49-70.

  64. Bruneau, C. & Dauphin, H. & Jondeau, E. & Nicolai, J.P., 1992. "France-Allemagne: Asymetries et convergence," Papers 1992-19, Caisse des Depots et Consignations - Cahiers de recherche.

    Cited by:

    1. Marie Podevin, 2001. "Interaction entre taux d'intérêt allemands et français : un réexamen de l'hypothèse de dominance allemande," Économie et Prévision, Programme National Persée, vol. 148(2), pages 49-70.

Articles

  1. Jondeau, Eric & Sahuc, Jean-Guillaume, 2022. "Bank capital shortfall in the euro area," Journal of Financial Stability, Elsevier, vol. 62(C).
    See citations under working paper version above.
  2. Jondeau, Eric & Khalilzadeh, Amir, 2022. "Predicting the stressed expected loss of large U.S. banks," Journal of Banking & Finance, Elsevier, vol. 134(C).

    Cited by:

    1. Kyriazis, Nikolaos & Corbet, Shaen, 2024. "Evaluating the dynamic connectedness of financial assets and bank indices during black-swan events: A Quantile-VAR approach," Energy Economics, Elsevier, vol. 131(C).
    2. Kouzez, Marc, 2023. "Political environment and bank performance: Does bank size matter?," Economic Systems, Elsevier, vol. 47(1).

  3. Eric Jondeau & Xuewu Wang & Zhipeng Yan & Qunzi Zhang, 2020. "Skewness and index futures return," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(11), pages 1648-1664, November.

    Cited by:

    1. Zhang, Zhikai & He, Mengxi & Zhang, Yaojie & Wang, Yudong, 2021. "Realized skewness and the short-term predictability for aggregate stock market volatility," Economic Modelling, Elsevier, vol. 103(C).
    2. Hui Qu & Tianyang Wang & Peng Shangguan & Mengying He, 2024. "Revisiting the puzzle of jumps in volatility forecasting: The new insights of high‐frequency jump intensity," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 44(2), pages 218-251, February.
    3. Annaert, Jan & De Ceuster, Marc & Van Cappellen, Jef, 2023. "Can average skewness really predict financial returns? The euro area case," Finance Research Letters, Elsevier, vol. 52(C).
    4. Banerjee, Ameet Kumar & Dionisio, Andreia & Sensoy, Ahmet & Goodell, John W., 2024. "Extant linkages between Shanghai crude oil and US energy futures: Insights from spillovers of higher-order moments," Energy Economics, Elsevier, vol. 136(C).
    5. Liyan Han & Xinbei Wei & Sen Yan & Qunzi Zhang, 2022. "Analyst rating matters for index futures," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(11), pages 2084-2100, November.

  4. Jondeau, Eric & Zhang, Qunzi & Zhu, Xiaoneng, 2019. "Average skewness matters," Journal of Financial Economics, Elsevier, vol. 134(1), pages 29-47.
    See citations under working paper version above.
  5. Eric Jondeau & Emmanuel Jurczenko & Michael Rockinger, 2018. "Moment Component Analysis: An Illustration With International Stock Markets," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 36(4), pages 576-598, October.
    See citations under working paper version above.
  6. Jondeau, Eric & Khalilzadeh, Amir, 2017. "Collateralization, leverage, and stressed expected loss," Journal of Financial Stability, Elsevier, vol. 33(C), pages 226-243.
    See citations under working paper version above.
  7. Jondeau, Eric, 2016. "Asymmetry in tail dependence in equity portfolios," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 351-368.

    Cited by:

    1. Ruan, Qingsong & Huang, Ying & Jiang, Wei, 2016. "The exceedance and cross-correlations between the gold spot and futures markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 463(C), pages 139-151.
    2. Ki-Hong Choi & Seong-Min Yoon, 2020. "Asymmetric Dependence between Oil Prices and Maritime Freight Rates: A Time-Varying Copula Approach," Sustainability, MDPI, vol. 12(24), pages 1-16, December.
    3. Marc S. Paolella, 2017. "The Univariate Collapsing Method for Portfolio Optimization," Econometrics, MDPI, vol. 5(2), pages 1-33, May.
    4. Broda, Simon A. & Krause, Jochen & Paolella, Marc S., 2018. "Approximating expected shortfall for heavy-tailed distributions," Econometrics and Statistics, Elsevier, vol. 8(C), pages 184-203.
    5. Lei Jiang & Esfandiar Maasoumi & Jiening Pan & Ke Wu, 2018. "A test of general asymmetric dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(7), pages 1026-1043, November.
    6. Arnold Polanski & Evarist Stoja & Ching‐Wai (Jeremy) Chiu, 2021. "Tail risk interdependence," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(4), pages 5499-5511, October.
    7. Le, Trung Hai & Do, Hung Xuan & Nguyen, Duc Khuong & Sensoy, Ahmet, 2021. "Covid-19 pandemic and tail-dependency networks of financial assets," Finance Research Letters, Elsevier, vol. 38(C).
    8. Będowska-Sójka, Barbara & Górka, Joanna, 2022. "The lithium and oil markets – dependencies and volatility spillovers," Resources Policy, Elsevier, vol. 78(C).
    9. Akanksha Jalan & Roman Matkovskyy & Larisa Yarovaya, 2021. "“Shiny” crypto assets: A systemic look at gold-backed cryptocurrencies during the COVID-19 pandemic," Post-Print hal-03512893, HAL.
    10. Caporale, Guglielmo Maria & You, Kefei & Chen, Lei, 2019. "Global and regional stock market integration in Asia: A panel convergence approach," International Review of Financial Analysis, Elsevier, vol. 65(C).
    11. Carsten Bormann & Melanie Schienle, 2020. "Detecting Structural Differences in Tail Dependence of Financial Time Series," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(2), pages 380-392, April.
    12. Linyu Cao & Ruili Sun & Tiefeng Ma & Conan Liu, 2023. "On Asymmetric Correlations and Their Applications in Financial Markets," JRFM, MDPI, vol. 16(3), pages 1-18, March.
    13. Aviral Kumar Tiwari & Sangram Keshari Jena & Satish Kumar & Erik Hille, 2022. "Is oil price risk systemic to sectoral equity markets of an oil importing country? Evidence from a dependence-switching copula delta CoVaR approach," Annals of Operations Research, Springer, vol. 315(1), pages 429-461, August.
    14. Marcela de Marillac Carvalho & Luiz Otávio de Oliveira Pala & Gabriel Rodrigo Gomes Pessanha & Thelma Sáfadi, 2021. "Asymmetric dependence of intraday frequency components in the Brazilian stock market," SN Business & Economics, Springer, vol. 1(6), pages 1-18, June.
    15. Han Yang & Ming-hui Wang & Nan-jing Huang, 2021. "The $$\alpha$$ α -Tail Distance with an Application to Portfolio Optimization Under Different Market Conditions," Computational Economics, Springer;Society for Computational Economics, vol. 58(4), pages 1195-1224, December.

  8. Jondeau, Eric & Lahaye, Jérôme & Rockinger, Michael, 2015. "Estimating the price impact of trades in a high-frequency microstructure model with jumps," Journal of Banking & Finance, Elsevier, vol. 61(S2), pages 205-224.
    See citations under working paper version above.
  9. Robert Engle & Eric Jondeau & Michael Rockinger, 2015. "Systemic Risk in Europe," Review of Finance, European Finance Association, vol. 19(1), pages 145-190.
    See citations under working paper version above.
  10. Jondeau, Eric, 2015. "The dynamics of squared returns under contemporaneous aggregation of GARCH models," Journal of Empirical Finance, Elsevier, vol. 32(C), pages 80-93.

    Cited by:

    1. Luis A. Gil‐Alana & Robert Mudida & OlaOluwa S. Yaya & Kazeem A. Osuolale & Ahamuefula E. Ogbonna, 2021. "Mapping US presidential terms with S&P500 index: Time series analysis approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 1938-1954, April.
    2. Alia Afzal & Philipp Sibbertsen, 2021. "Modeling fractional cointegration between high and low stock prices in Asian countries," Empirical Economics, Springer, vol. 60(2), pages 661-682, February.
    3. Gil-Alana, Luis A. & Mudida, Robert & Yaya, OlaOluwa S & Osuolale, Kazeem & Ogbonna, Ephraim A, 2019. "Influence of US Presidential Terms on S&P500 Index Using a Time Series Analysis Approach," MPRA Paper 93941, University Library of Munich, Germany.
    4. Liu, De-Chih & Liu, Chih-Yun, 2016. "The source of stock return fluctuation in Taiwan," The Quarterly Review of Economics and Finance, Elsevier, vol. 61(C), pages 77-88.

  11. Jondeau, Eric & Pelgrin, Florian, 2014. "Estimating aggregate autoregressive processes when only macro data are available," Economics Letters, Elsevier, vol. 124(3), pages 341-347.
    See citations under working paper version above.
  12. Imbs, Jean & Jondeau, Eric & Pelgrin, Florian, 2011. "Sectoral Phillips curves and the aggregate Phillips curve," Journal of Monetary Economics, Elsevier, vol. 58(4), pages 328-344.
    See citations under working paper version above.
  13. Eric Jondeau & Michael Rockinger, 2009. "The Impact of Shocks on Higher Moments," Journal of Financial Econometrics, Oxford University Press, vol. 7(2), pages 77-105, Spring.

    Cited by:

    1. Ruan, Qingsong & Huang, Ying & Jiang, Wei, 2016. "The exceedance and cross-correlations between the gold spot and futures markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 463(C), pages 139-151.
    2. Sylvia J. Soltyk & Felix Chan, 2023. "Modeling time‐varying higher‐order conditional moments: A survey," Journal of Economic Surveys, Wiley Blackwell, vol. 37(1), pages 33-57, February.
    3. Shackleton, Mark B. & Taylor, Stephen J. & Yu, Peng, 2010. "A multi-horizon comparison of density forecasts for the S&P 500 using index returns and option prices," Journal of Banking & Finance, Elsevier, vol. 34(11), pages 2678-2693, November.
    4. Ubukata, Masato, 2018. "Dynamic hedging performance and downside risk: Evidence from Nikkei index futures," International Review of Economics & Finance, Elsevier, vol. 58(C), pages 270-281.
    5. Jondeau, Eric, 2016. "Asymmetry in tail dependence in equity portfolios," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 351-368.
    6. Bernardi, Mauro & Catania, Leopoldo, 2018. "Portfolio optimisation under flexible dynamic dependence modelling," Journal of Empirical Finance, Elsevier, vol. 48(C), pages 1-18.
    7. Mehmet Balcilar & Rangan Gupta & Duc Khuong Nguyen & Mark E. Wohar, 2018. "Causal effects of the United States and Japan on Pacific-Rim stock markets: nonparametric quantile causality approach," Applied Economics, Taylor & Francis Journals, vol. 50(53), pages 5712-5727, November.
    8. Oscar Espinosa & Fabio Nieto, 2020. "A study on the leverage effect on financial series using a TAR model: a Bayesian approach," Papers 2002.05319, arXiv.org, revised Feb 2020.
    9. Pauwels, Laurent & Radchenko, Peter & Vasnev, Andrey, 2020. "Higher Moment Constraints for Predictive Density Combinations," Working Papers BAWP-2020-01, University of Sydney Business School, Discipline of Business Analytics.
    10. Renée Fry-McKibbin & Cody Yu-Ling Hsiao, 2014. "Extremal Dependence and Contagion," CAMA Working Papers 2014-38, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    11. Paola Stolfi & Mauro Bernardi & Lea Petrella, 2018. "The sparse method of simulated quantiles: An application to portfolio optimization," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 72(3), pages 375-398, August.
    12. Lai, Jing-yi, 2012. "Shock-dependent conditional skewness in international aggregate stock markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 52(1), pages 72-83.
    13. Markwat, T.D. & Kole, H.J.W.G. & van Dijk, D.J.C., 2009. "Time Variation in Asset Return Dependence: Strength or Structure?," ERIM Report Series Research in Management ERS-2009-052-F&A, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    14. Linjie Wang & Jean‐Paul Chavas & Jian Li, 2024. "Dynamic linkages in agricultural and energy markets: A quantile impulse response approach," Agricultural Economics, International Association of Agricultural Economists, vol. 55(4), pages 639-676, July.
    15. Alexios Ghalanos & Eduardo Rossi & Giovanni Urga, 2015. "Independent Factor Autoregressive Conditional Density Model," Econometric Reviews, Taylor & Francis Journals, vol. 34(5), pages 594-616, May.

  14. Eric Jondeau & Jean-Guillaume Sahuc, 2008. "Optimal Monetary Policy in an Estimated DSGE Model of the Euro Area with Cross-Country Heterogeneity," International Journal of Central Banking, International Journal of Central Banking, vol. 4(2), pages 23-72, June.
    See citations under working paper version above.
  15. Jondeau, Eric & Le Bihan, Hervé, 2008. "Examining bias in estimators of linear rational expectations models under misspecification," Journal of Econometrics, Elsevier, vol. 143(2), pages 375-395, April.

    Cited by:

    1. Byrne, Joseph P. & Kontonikas, Alexandros & Montagnoliz, Alberto, 2010. "International Evidence on the New Keynesian Phillips Curve Using Aggregate and Disaggregate Data," SIRE Discussion Papers 2010-57, Scottish Institute for Research in Economics (SIRE).
    2. Scheufele, Rolf, 2010. "Evaluating the German (New Keynesian) Phillips curve," The North American Journal of Economics and Finance, Elsevier, vol. 21(2), pages 145-164, August.
    3. Sophocles Mavroeidis & Mikkel Plagborg-Møller & James H. Stock, 2014. "Empirical Evidence on Inflation Expectations in the New Keynesian Phillips Curve," Journal of Economic Literature, American Economic Association, vol. 52(1), pages 124-188, March.
    4. Imbs, Jean & Jondeau, Eric & Pelgrin, Florian, 2007. "Aggregating Phillips curves," Working Paper Series 785, European Central Bank.
    5. Giovanni Angelini & Luca Fanelli, 2016. "Misspecification and Expectations Correction in New Keynesian DSGE Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(5), pages 623-649, October.
    6. Luca Fanelli, 2009. "Estimation of quasi-rational DSGE monetary models," Quaderni di Dipartimento 3, Department of Statistics, University of Bologna.
    7. Fanelli, Luca, 2012. "Determinacy, indeterminacy and dynamic misspecification in linear rational expectations models," Journal of Econometrics, Elsevier, vol. 170(1), pages 153-163.
    8. Giesen, Sebastian & Scheufele, Rolf, 2013. "Effects of Incorrect Specification on the Finite Sample Properties of Full and Limited Information Estimators in DSGE Models," IWH Discussion Papers 8/2013, Halle Institute for Economic Research (IWH).
    9. Le Bihan, Hervé, 2008. "1958-2008, avatars et enjeux de la courbe de Phillips [The Phillips curve at fifty]," MPRA Paper 12119, University Library of Munich, Germany.

  16. Jondeau, Eric & Sahuc, Jean-Guillaume, 2008. "Testing heterogeneity within the euro area," Economics Letters, Elsevier, vol. 99(1), pages 192-196, April.
    See citations under working paper version above.
  17. Eric Jondeau & Michael Rockinger, 2006. "Optimal Portfolio Allocation under Higher Moments," European Financial Management, European Financial Management Association, vol. 12(1), pages 29-55, January.
    See citations under working paper version above.
  18. Jondeau, Eric & Rockinger, Michael, 2006. "The Copula-GARCH model of conditional dependencies: An international stock market application," Journal of International Money and Finance, Elsevier, vol. 25(5), pages 827-853, August.

    Cited by:

    1. Abduraimova, Kumushoy, 2022. "Contagion and tail risk in complex financial networks," Journal of Banking & Finance, Elsevier, vol. 143(C).
    2. Ha, Sang su & Welch, J. Mark & Anderson, David P., 2016. "Time Varying Correlation Research Among Corn, Ethanol, And Gasoline: Copula –Garch Approach," 2017 Annual Meeting, February 4-7, 2017, Mobile, Alabama 252741, Southern Agricultural Economics Association.
    3. Sehgal, Sanjay & Pandey, Piyush & Diesting, Florent, 2017. "Examining dynamic currency linkages amongst South Asian economies: An empirical study," Research in International Business and Finance, Elsevier, vol. 42(C), pages 173-190.
    4. Bai, Xiwen & Lam, Jasmine Siu Lee, 2021. "Freight rate co-movement and risk spillovers in the product tanker shipping market: A copula analysis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 149(C).
    5. Mokni, Khaled & Youssef, Manel, 2019. "Measuring persistence of dependence between crude oil prices and GCC stock markets: A copula approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 72(C), pages 14-33.
    6. Ning, Cathy & Wirjanto, Tony S., 2009. "Extreme return-volume dependence in East-Asian stock markets: A copula approach," Finance Research Letters, Elsevier, vol. 6(4), pages 202-209, December.
    7. Panagiotis G. Papaioannou & George P. Papaioannou & Kostas Siettos & Akylas Stratigakos & Christos Dikaiakos, 2017. "Dynamic Conditional Correlation between Electricity and Stock markets during the Financial Crisis in Greece," Papers 1708.07063, arXiv.org.
    8. Okhrin, Ostap & Ristig, Alexander & Sheen, Jeffrey R. & Trück, Stefan, 2015. "Conditional systemic risk with penalized copula," SFB 649 Discussion Papers 2015-038, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    9. Małgorzata Doman & Ryszard Doman, 2013. "Dynamic linkages between stock markets: the effects of crises and globalization," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 12(2), pages 87-112, August.
    10. Yang, Lu & Cai, Xiao Jing & Li, Mengling & Hamori, Shigeyuki, 2015. "Modeling dependence structures among international stock markets: Evidence from hierarchical Archimedean copulas," Economic Modelling, Elsevier, vol. 51(C), pages 308-314.
    11. Chun-Pin Hsu & Chin-Wen Huang & Wan-Jiun Chiou, 2012. "Effectiveness of copula-extreme value theory in estimating value-at-risk: empirical evidence from Asian emerging markets," Review of Quantitative Finance and Accounting, Springer, vol. 39(4), pages 447-468, November.
    12. Fei, Fei & Fuertes, Ana-Maria & Kalotychou, Elena, 2017. "Dependence in credit default swap and equity markets: Dynamic copula with Markov-switching," International Journal of Forecasting, Elsevier, vol. 33(3), pages 662-678.
    13. Govindan, Rajesh & Al-Ansari, Tareq, 2019. "Computational decision framework for enhancing resilience of the energy, water and food nexus in risky environments," Renewable and Sustainable Energy Reviews, Elsevier, vol. 112(C), pages 653-668.
    14. Tachibana, Minoru, 2022. "Safe haven assets for international stock markets: A regime-switching factor copula approach," Research in International Business and Finance, Elsevier, vol. 60(C).
    15. Karmakar, Madhusudan, 2017. "Dependence structure and portfolio risk in Indian foreign exchange market: A GARCH-EVT-Copula approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 64(C), pages 275-291.
    16. Chang, Kuang-Liang, 2023. "The low-magnitude and high-magnitude asymmetries in tail dependence structures in international equity markets and the role of bilateral exchange rate," Journal of International Money and Finance, Elsevier, vol. 133(C).
    17. Torben G. Andersen & Tim Bollerslev & Peter F. Christoffersen & Francis X. Diebold, 2005. "Practical Volatility and Correlation Modeling for Financial Market Risk Management," PIER Working Paper Archive 05-007, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    18. Mauro Bernardi & Leopoldo Catania, 2015. "Switching-GAS Copula Models With Application to Systemic Risk," Papers 1504.03733, arXiv.org, revised Jan 2016.
    19. Ghorbel, Ahmed & Trabelsi, Abdelwahed, 2014. "Energy portfolio risk management using time-varying extreme value copula methods," Economic Modelling, Elsevier, vol. 38(C), pages 470-485.
    20. Fabian Capitanio & Giorgia Rivieccio & Felice Adinolfi, 2020. "Food Price Volatility and Asymmetries in Rural Areas of South Mediterranean Countries: A Copula-Based GARCH Model," IJERPH, MDPI, vol. 17(16), pages 1-14, August.
    21. Nguyen, Hoang & Virbickaitė, Audronė, 2023. "Modeling stock-oil co-dependence with Dynamic Stochastic MIDAS Copula models," Energy Economics, Elsevier, vol. 124(C).
    22. Burda Martin & Bélisle Louis, 2019. "Copula multivariate GARCH model with constrained Hamiltonian Monte Carlo," Dependence Modeling, De Gruyter, vol. 7(1), pages 133-149, January.
    23. Márcio Poletti Laurini & Roberto Baltieri Mauad & Fernando Antonio Lucena Aiube, 2016. "Multivariate Stochastic Volatility-Double Jump Model: an application for oil assets," Working Papers Series 415, Central Bank of Brazil, Research Department.
    24. Janani Sri S. & Parthajit Kayal & G. Balasubramanian, 2022. "Can Equity be Safe-haven for Investment?," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 21(1), pages 32-63, March.
    25. Oleg Sokolinskiy & Dick van Dijk, 2011. "Forecasting Volatility with Copula-Based Time Series Models," Tinbergen Institute Discussion Papers 11-125/4, Tinbergen Institute.
    26. Reboredo, Juan C., 2012. "Modelling oil price and exchange rate co-movements," Journal of Policy Modeling, Elsevier, vol. 34(3), pages 419-440.
    27. 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.
    28. Julien Chevallier & Florian Ielpo, 2013. "Volatility spillovers in commodity markets," Applied Economics Letters, Taylor & Francis Journals, vol. 20(13), pages 1211-1227, September.
    29. Cees Diks & Valentyn Panchenko & Dick van Dijk, 2010. "Out-of-sample comparison of copula specifications in multivariate density forecasts," Post-Print hal-00732675, HAL.
    30. Stelios Bekiros & Shawkat Hammoudeh & Rania Jammazi & Duc Khuong Nguyen, 2018. "Sovereign bond market dependencies and crisis transmission around the eurozone debt crisis: a dynamic copula approach," Applied Economics, Taylor & Francis Journals, vol. 50(47), pages 5031-5049, October.
    31. Riadh Aloui & Mohamed Safouane Ben Aissa & Khuong Nguyen Duc, 2010. "Global Financial Crisis, Extreme Interdependences, and Contagion E§ects: The Role of Economic Structure," Working Papers 15, Development and Policies Research Center (DEPOCEN), Vietnam.
    32. Chia-Hsun Hsieh & Shian-Chang Huang, 2012. "Time-Varying Dependency and Structural Changes in Currency Markets," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 48(2), pages 94-127, March.
    33. Hofert, Marius & Prasad, Avinash & Zhu, Mu, 2022. "Multivariate time-series modeling with generative neural networks," Econometrics and Statistics, Elsevier, vol. 23(C), pages 147-164.
    34. Henryk Gurgul & Robert Syrek, 2010. "Polish stock market and some foreign markets - dependence analysis by regime-switching copulas," Managerial Economics, AGH University of Science and Technology, Faculty of Management, vol. 8, pages 21-39.
    35. Tong, Bin & Diao, Xundi & Wu, Chongfeng, 2015. "Modeling asymmetric and dynamic dependence of overnight and daytime returns: An empirical evidence from China Banking Sector," Economic Modelling, Elsevier, vol. 51(C), pages 366-382.
    36. Janus, Paweł & Koopman, Siem Jan & Lucas, André, 2014. "Long memory dynamics for multivariate dependence under heavy tails," Journal of Empirical Finance, Elsevier, vol. 29(C), pages 187-206.
    37. Ji, Hao & Wang, Hao & Zhong, Rui & Li, Min, 2020. "China's liberalizing stock market, crude oil, and safe-haven assets: A linkage study based on a novel multivariate wavelet-vine copula approach," Economic Modelling, Elsevier, vol. 93(C), pages 187-204.
    38. Sancetta, A. & Nikanrova, A., 2005. "Forecasting and Prequential Validation for Time Varying Meta-Elliptical Distributions with a Study of Commodity Futures Prices," Cambridge Working Papers in Economics 0516, Faculty of Economics, University of Cambridge.
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  19. Jondeau, Eric & Le Bihan, Herve, 2005. "Testing for the New Keynesian Phillips Curve. Additional international evidence," Economic Modelling, Elsevier, vol. 22(3), pages 521-550, May.

    Cited by:

    1. Jondeau, E. & Le Bihan, H., 2003. "ML vs GMM Estimates of Hybrid Macroeconomic Models (With an Application to the New Phillips Curve)," Working papers 103, Banque de France.
    2. Scheufele, Rolf, 2010. "Evaluating the German (New Keynesian) Phillips curve," The North American Journal of Economics and Finance, Elsevier, vol. 21(2), pages 145-164, August.
    3. Gabriele Galati & William R. Melick, 2006. "The evolving inflation process: an overview," BIS Working Papers 196, Bank for International Settlements.
    4. Filiz Yesilyurt & J. Elhorst, 2014. "A regional analysis of inflation dynamics in Turkey," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 52(1), pages 1-17, January.
    5. Chengsi Zhang & Denise R. Osborn & Dong Heon Kim, 2006. "The New Keynesian Phillips Curve: from Sticky Inflation to Sticky Prices," Centre for Growth and Business Cycle Research Discussion Paper Series 78, Economics, The University of Manchester.
    6. Julien Matheron, 2006. "Firm-Specific Labor and Firm-Specific Capital: Implications for the Euro-Data New Phillips Curve," International Journal of Central Banking, International Journal of Central Banking, vol. 2(4), December.
    7. Daniela Milučká, 2014. "Inflation dynamics in the Czech Republic: Estimation of the New Keynesian Phillips curve," International Journal of Economic Sciences, Prague University of Economics and Business, vol. 2014(2), pages 53-70.
    8. Sophocles Mavroeidis & Mikkel Plagborg-Møller & James H. Stock, 2014. "Empirical Evidence on Inflation Expectations in the New Keynesian Phillips Curve," Journal of Economic Literature, American Economic Association, vol. 52(1), pages 124-188, March.
    9. Leu, Shawn Chen-Yu, 2011. "A New Keynesian SVAR model of the Australian economy," Economic Modelling, Elsevier, vol. 28(1-2), pages 157-168, January.
    10. Malikane, Christopher, 2012. "Inflation dynamics and the cost channel in emerging markets," MPRA Paper 42688, University Library of Munich, Germany.
    11. Filippo Altissimo & Michael Ehrmann & Frank Smets, 2006. "Inflation persistence and price-setting behaviour in the euro area : a summary of the Inflation Persistence Network evidence," Working Paper Research 95, National Bank of Belgium.
    12. Rumler, Fabio & Valderrama, Maria Teresa, 2010. "Comparing the New Keynesian Phillips Curve with time series models to forecast inflation," The North American Journal of Economics and Finance, Elsevier, vol. 21(2), pages 126-144, August.
    13. Carlos Medel, 2015. "Inflation Dynamics and the Hybrid Neo Keynesian Phillips Curve: The Case of Chile," Working Papers Central Bank of Chile 769, Central Bank of Chile.
    14. Agénor, Pierre-Richard & Bayraktar, Nihal, 2010. "Contracting models of the Phillips curve empirical estimates for middle-income countries," Journal of Macroeconomics, Elsevier, vol. 32(2), pages 555-570, June.
    15. Tiwari, Aviral Kumar & Oros, Cornel & Albulescu, Claudiu Tiberiu, 2014. "Revisiting the inflation–output gap relationship for France using a wavelet transform approach," Economic Modelling, Elsevier, vol. 37(C), pages 464-475.
    16. Chengsi Zhang & Joel Clovis, 2010. "The New Keynesian Phillips Curve of Rational Expectations: A Serial Correlation Extension," Journal of Applied Economics, Taylor & Francis Journals, vol. 13(1), pages 159-179, May.
    17. Patrik Kupkovič, 2017. "Dynamika inflácie v krajinách monetárnej únie: jej vplyv na spoločnú hospodársku politiku [Inflation Dynamics in Countries of the Monetary Union: What is its Impact on the Common Economic Policy?]," Politická ekonomie, Prague University of Economics and Business, vol. 2017(1), pages 62-81.
    18. Ida, Daisuke, 2013. "The gain from commitment in a two-country economy with inflation persistence," Japan and the World Economy, Elsevier, vol. 27(C), pages 58-69.
    19. Hondroyiannis, George & Swamy, P.A.V.B. & Tavlas, George S., 2009. "The New Keynesian Phillips Curve In A Time-Varying Coefficient Environment: Some European Evidence," Macroeconomic Dynamics, Cambridge University Press, vol. 13(2), pages 149-166, April.
    20. Helder Ferreira de Mendonça & Natália Ferreira Trigo, 2024. "What is the effect of imported inflation and central bank credibility on the poor and rich?," Applied Economics, Taylor & Francis Journals, vol. 56(21), pages 2520-2543, May.
    21. Thibault Lemaire, 2020. "Phillips in A Revolution: Unemployment and Prices in Early 21st Century Egypt," Working Papers 1453, Economic Research Forum, revised 20 Dec 2020.
    22. Jishi Piao & Sangyong Joo, 2014. "Estimating Open Economy New Keynesian Phillips Curve for Korea," Asian Economic Journal, East Asian Economic Association, vol. 28(3), pages 239-258, September.
    23. Canepa, Alessandra, 2024. "Inflation dynamics and persistence: The importance of the uncertainty channel," The North American Journal of Economics and Finance, Elsevier, vol. 72(C).
    24. Katarína Danišková & Jarko Fidrmuc, 2011. "Inflation Convergence and the New Keynesian Phillips Curve in the Czech Republic," Czech Economic Review, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, vol. 5(2), pages 099-115, August.
    25. Shawn Chen-Yu Leu, 2006. "A New Keynesian Perspective of Monetary Policy in Australia," Working Papers 2006.01, School of Economics, La Trobe University.
    26. Abbas, Syed K. & Bhattacharya, Prasad Sankar & Sgro, Pasquale, 2016. "The new Keynesian Phillips curve: An update on recent empirical advances," International Review of Economics & Finance, Elsevier, vol. 43(C), pages 378-403.
    27. Fabio Rumler, 2005. "Estimates of the Open Economy New Keynesian Phillips Curve for Euro Area Countries," Working Papers 102, Oesterreichische Nationalbank (Austrian Central Bank).
    28. Harashima, Taiji, 2008. "A Microfounded Mechanism of Observed Substantial Inflation Persistence," MPRA Paper 10668, University Library of Munich, Germany.
    29. Taheri Bazkhaneh , Saleh & Ehsani , Mohammad Ali & Gilak Hakimabadi , Mohammad Taqi & Farzinvash , Asodollah, 2018. "Analysis of the Relationship between the Business Cycle and Inflation Gap in Time-Frequency Domain," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 13(3), pages 401-422, July.
    30. Rannenberg, Ansgar, 2008. "Disinflation and the NAIRU in a New-Keynesian New-Growth Model," MPRA Paper 9346, University Library of Munich, Germany.
    31. MOONS, Cindy & GARRETSEN, Harry & VAN AARLE, Bas & FORNERO, Jorge, 2007. "Monetary policy in the new-Keynesian model: An application to the Euro-Area," Working Papers 2007014, University of Antwerp, Faculty of Business and Economics.
    32. Canepa, Alessandra, 2022. "Ination Dynamics and Time-Varying Persistence: The Importance of the Uncertainty Channel," Department of Economics and Statistics Cognetti de Martiis. Working Papers 202211, University of Turin.
    33. Choi, Yoonseok, 2021. "Inflation dynamics, the role of inflation at different horizons and inflation uncertainty," International Review of Economics & Finance, Elsevier, vol. 71(C), pages 649-662.
    34. Sandeep Mazumder, 2012. "European Inflation and the New Keynesian Phillips Curve," Southern Economic Journal, John Wiley & Sons, vol. 79(2), pages 322-349, October.
    35. Thorvardur Tjörvi Ólafsson, 2006. "The New Keynesian Phillips Curve: In Search of Improvements and Adaptation to the Open Economy," Economics wp31_tjorvi, Department of Economics, Central bank of Iceland.
    36. Lee, Jim, 2009. "Evaluating monetary policy of the euro area with cross-country heterogeneity: Evidence from a New Keynesian model," Economic Systems, Elsevier, vol. 33(4), pages 325-343, December.
    37. Bhavesh Salunkhe & Anuradha Patnaik, 2019. "Inflation Dynamics and Monetary Policy in India: A New Keynesian Phillips Curve Perspective," South Asian Journal of Macroeconomics and Public Finance, , vol. 8(2), pages 144-179, December.
    38. Lagoa, Sérgio, 2014. "Inflation dynamics in open economies: Empirical evidence for G7 countries on the role of import prices and the cost channel," Research in Economics, Elsevier, vol. 68(4), pages 354-371.
    39. Henzel, Steffen & Wollmershäuser, Timo, 2008. "The New Keynesian Phillips curve and the role of expectations: Evidence from the CESifo World Economic Survey," Munich Reprints in Economics 19416, University of Munich, Department of Economics.
    40. Ambrocio, Gene & Jang, Tae-Seok, 2009. "Productivity shocks and the New Keynesian Phillips Curve: Evidence from US and Euro area," Kiel Advanced Studies Working Papers 453, Kiel Institute for the World Economy (IfW Kiel).
    41. Helder Ferreira de Mendonça & Roseli da Silva, 2016. "2333-2349," Economics Bulletin, AccessEcon, vol. 32767(4), pages 2333-2349.
    42. Brissimis, Sophocles N. & Skotida, Ifigeneia, 2008. "Optimal monetary policy in the euro area in the presence of heterogeneity," Journal of International Money and Finance, Elsevier, vol. 27(2), pages 209-226, March.
    43. Ansgar, Rannenberg, 2009. "Disinflation and the NAIRU in a New-Keynesian New-Growth Model (Extended Version)," MPRA Paper 13610, University Library of Munich, Germany.
    44. Linde, Jesper, 2005. "Estimating New-Keynesian Phillips curves: A full information maximum likelihood approach," Journal of Monetary Economics, Elsevier, vol. 52(6), pages 1135-1149, September.
    45. Dieppe, Alistair & Ortega, Eva & D'Agostino, Antonello & Karlsson, Tohmas & Benkovskis, Konstantins & Caivano, Michele & Hurtado, Samuel & Várnai, Tímea, 2011. "Assessing the sensitivity of inflation to economic activity," Working Paper Series 1357, European Central Bank.
    46. Ahrens, Steffen & Hartmann, Matthias, 2014. "State-dependence vs. timedependence: An empirical multi-country investigation of price sluggishness," Kiel Working Papers 1907, Kiel Institute for the World Economy (IfW Kiel).
    47. Le Bihan, Hervé, 2008. "1958-2008, avatars et enjeux de la courbe de Phillips [The Phillips curve at fifty]," MPRA Paper 12119, University Library of Munich, Germany.
    48. Sevim Kosem Alp, 2010. "Optimal Monetary Policy under Sectoral Heterogeneity in Inflation Persistence (Sektorel Enflasyon Ataleti Farkliligi Altinda Optimal Para Politikasi)," Working Papers 1004, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    49. Ichiro Muto, 2009. "Estimating A New Keynesian Phillips Curve With A Corrected Measure Of Real Marginal Cost: Evidence In Japan," Economic Inquiry, Western Economic Association International, vol. 47(4), pages 667-684, October.
    50. Fabrice Orlandi & Werner Roeger & Anna Thum-Thysen, 2018. "The Return of the European Wage Phillips Curve," European Economy - Discussion Papers 085, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    51. Kushal Banik Chowdhury & Nityananda Sarkar, 2017. "Is the Hybrid New Keynesian Phillips Curve Stable? Evidence from Some Emerging Economies," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 15(3), pages 427-449, September.
    52. Hondroyiannis, George & Swamy, P.A.V.B. & Tavlas, George S., 2008. "Inflation dynamics in the euro area and in new EU members: Implications for monetary policy," Economic Modelling, Elsevier, vol. 25(6), pages 1116-1127, November.
    53. Borek Vasicek, 2009. "Inflation dynamics and the New Keynesian Phillips curve in EU-4," William Davidson Institute Working Papers Series wp971, William Davidson Institute at the University of Michigan.
    54. Jérôme Hericourt, 2005. "And if One Size Fit All after All? A Counterfactual Examination of the ECB Monetary Policy under Duisenberg Presidency," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-03280963, HAL.
    55. Christopher Tsoukis & George Kapetanios & Joseph Pearlman, 2011. "Elusive Persistence: Wage And Price Rigidities, The New Keynesian Phillips Curve And Inflation Dynamics," Journal of Economic Surveys, Wiley Blackwell, vol. 25(4), pages 737-768, September.
    56. Johanna Amberger & Ralf Fendel, 2017. "Understanding inflation dynamics in the Euro Area: deviants and commonalities across member countries," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 44(2), pages 261-293, May.
    57. Fabio Rumler, 2006. "The New Keynesian Phillips Curve for Austria – An Extension for the Open Economy," Monetary Policy & the Economy, Oesterreichische Nationalbank (Austrian Central Bank), issue 4, pages 55-69.
    58. Tillmann, Peter, 2005. "The New Keynesian Phillips Curve in Europe: does it fit or does it fail?," Discussion Paper Series 1: Economic Studies 2005,04, Deutsche Bundesbank.
    59. Paloviita, Maritta, 2008. "Dynamics of inflation expectations in the euro area," Bank of Finland Scientific Monographs, Bank of Finland, volume 0, number sm2008_040, July.
    60. Séverine Menguy, 2009. "Heterogeneity in Inflation Persistence and Monetary Policy in a Monetary Union," Brussels Economic Review, ULB -- Universite Libre de Bruxelles, vol. 52(2), pages 121-141.
    61. Kurmann, Andre, 2007. "VAR-based estimation of Euler equations with an application to New Keynesian pricing," Journal of Economic Dynamics and Control, Elsevier, vol. 31(3), pages 767-796, March.

  20. Jondeau E. & Le Bihan H. & Galles C., 2004. "Assessing Generalized Method-of-Moments Estimates of the Federal Reserve Reaction Function," Journal of Business & Economic Statistics, American Statistical Association, vol. 22, pages 225-239, April.

    Cited by:

    1. Pierre L. Siklos & Diana N. Weymark, 2008. "Data Revisions, Gradualism, and US Inflation Pressure in Real Time," Vanderbilt University Department of Economics Working Papers 0816, Vanderbilt University Department of Economics.
    2. Finocchiaro, Daria & Queijo von Heideken, Virginia, 2007. "Do Central Banks React to House Prices?," Working Paper Series 217, Sveriges Riksbank (Central Bank of Sweden), revised 01 Aug 2009.
    3. Luís Francisco Aguiar-Conraria & Manuel M. F. Martins & Maria Joana Soares, 2014. "Analyzing the Taylor Rule with Wavelet Lenses," NIPE Working Papers 18/2014, NIPE - Universidade do Minho.
    4. Moons, Cindy & Hellinckx, Kevin, 2019. "Did monetary policy fuel the housing bubble? An application to Ireland," Journal of Policy Modeling, Elsevier, vol. 41(2), pages 294-315.
    5. Jondeau, Eric & Le Bihan, Herve, 2005. "Testing for the New Keynesian Phillips Curve. Additional international evidence," Economic Modelling, Elsevier, vol. 22(3), pages 521-550, May.
    6. Chengsi Zhang & Denise R. Osborn & Dong Heon Kim, 2006. "Observed Inflation Forecasts and the New Keynesian Phillips Curve," Economics Discussion Paper Series 0632, Economics, The University of Manchester.
    7. Partouche, H., 2007. "Time-Varying Coefficients in a GMM Framework: Estimation of a Forward Looking Taylor Rule for the Federal Reserve," Working papers 177, Banque de France.
    8. Rageh, Rania, 2010. "Interest rate rule for the conduct of monetary policy: analysis for Egypt (1997:2007)," MPRA Paper 26639, University Library of Munich, Germany.
    9. Davies, Ceri & Gillman, Max & Kejak, Michal, 2012. "Deriving the Taylor Principle when the Central Bank Supplies Money," Cardiff Economics Working Papers E2012/20, Cardiff University, Cardiff Business School, Economics Section.
    10. Luís Aguiar-Conraria & Manuel M. F. Martins & Maria Joana Soares, 2018. "Estimating the Taylor Rule in the Time-Frequency Domain," NIPE Working Papers 04/2018, NIPE - Universidade do Minho.
    11. Seojeong Lee, 2013. "Asymptotic Refinements of a Misspecification-Robust Bootstrap for Generalized Method of Moments Estimators," Discussion Papers 2013-09, School of Economics, The University of New South Wales.
    12. Ida Wolden Bache & Øistein Røislanda & Kjersti Næss Torstensen, 2011. "Interest Rate Smoothing and "Calvo-Type" Interest Rate Rules: A Comment on Levine, McAdam, and Pearlman (2007)," International Journal of Central Banking, International Journal of Central Banking, vol. 7(3), pages 79-90, September.
    13. Jondeau, Eric & Le Bihan, Hervé, 2008. "Examining bias in estimators of linear rational expectations models under misspecification," Journal of Econometrics, Elsevier, vol. 143(2), pages 375-395, April.
    14. Robert Tchaidze & Alina Carare, 2004. "The Use and Abuse of Taylor Rules: How precisely can we estimate them?," Econometric Society 2004 Latin American Meetings 132, Econometric Society.
    15. P. Siklos & M. Bohl, 2006. "Asset Prices as Indicators of Euro Area Monetary Policy: An Empirical Assessment of Their Role in a Taylor Rule," Working Papers eg0053, Wilfrid Laurier University, Department of Economics, revised 2006.
    16. Katrin Woelfel & Christoph S. Weber, 2014. "Searching for the FED's Reaction Function," Working Papers 154, Bavarian Graduate Program in Economics (BGPE).
    17. Rodrigo De-Losso, 2012. "Questioning The Taylor Rule," Working Papers, Department of Economics 2012_22, University of São Paulo (FEA-USP).
    18. Igor Goncharov & Vasso Ioannidou & Martin C. Schmalz, 2017. "(Why) Do Central Banks Care About Their Profits?," CESifo Working Paper Series 6546, CESifo.
    19. Brooks, Robert & Harris, Mark & Spencer, Christopher, 2007. "An Inflated Ordered Probit Model of Monetary Policy: Evidence from MPC Voting Data," MPRA Paper 8509, University Library of Munich, Germany.
    20. David Vera, 2009. "How robust is the Fed reaction function to changes in the output-gap specification?," Applied Economics, Taylor & Francis Journals, vol. 43(9), pages 1059-1065.
    21. Rodrigo De-Losso, 2012. "Did The Taylor Rule Stabilize Inflation in Brazil?," Working Papers, Department of Economics 2012_21, University of São Paulo (FEA-USP).
    22. Mr. Robert Tchaidze & Ms. Alina Carare, 2005. "The Use and Abuse of Taylor Rules: How Precisely Can We Estimate Them?," IMF Working Papers 2005/148, International Monetary Fund.
    23. Maciej Ryczkowski, 2016. "Poland as an inflation nutter:The story of successful output stabilization," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 34(2), pages 363-392.
    24. Nikolay Iskrev, 2013. "On the distribution of information in the moment structure of DSGE models," 2013 Meeting Papers 339, Society for Economic Dynamics.

  21. Éric Jondeau, 2004. "Gestion institutionnelle et volatilité des marchés financiers," Revue d'Économie Financière, Programme National Persée, vol. 74(1), pages 157-175.

    Cited by:

    1. Anne LAVIGNE, 2006. "Gouvernance et investissement des fonds de pension privés aux Etats-Unis," LEO Working Papers / DR LEO 690, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.

  22. Jondeau, Eric & Rockinger, Michael, 2003. "Testing for differences in the tails of stock-market returns," Journal of Empirical Finance, Elsevier, vol. 10(5), pages 559-581, December.
    See citations under working paper version above.
  23. Jondeau, Eric & Rockinger, Michael, 2003. "User's guide," Journal of Economic Dynamics and Control, Elsevier, vol. 27(10), pages 1739-1742, August.

    Cited by:

    1. Wagner, Joachim, 2004. "Are Young and Small Firms Hothouses for Nascent Entrepreneurs? Evidence from German Micro Data," IZA Discussion Papers 989, Institute of Labor Economics (IZA).
    2. Jondeau, Eric & Rockinger, Michael, 2006. "The Copula-GARCH model of conditional dependencies: An international stock market application," Journal of International Money and Finance, Elsevier, vol. 25(5), pages 827-853, August.

  24. Jondeau, Eric & Rockinger, Michael, 2003. "Conditional volatility, skewness, and kurtosis: existence, persistence, and comovements," Journal of Economic Dynamics and Control, Elsevier, vol. 27(10), pages 1699-1737, August.

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    1. Grigory Franguridi, 2014. "Higher order conditional moment dynamics and forecasting value-at-risk (in Russian)," Quantile, Quantile, issue 12, pages 69-82, February.
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    5. Jonas Rothfuss & Fabio Ferreira & Simon Walther & Maxim Ulrich, 2019. "Conditional Density Estimation with Neural Networks: Best Practices and Benchmarks," Papers 1903.00954, arXiv.org, revised Apr 2019.
    6. Carlos Escanciano, J., 2008. "Joint and marginal specification tests for conditional mean and variance models," Journal of Econometrics, Elsevier, vol. 143(1), pages 74-87, March.
    7. Xuan Vinh Vo & Thi Tuan Anh Tran, 2021. "Higher-order comoments and asset returns: evidence from emerging equity markets," Annals of Operations Research, Springer, vol. 297(1), pages 323-340, February.
    8. Jondeau, E. & Rockinger, M., 2004. "Optimal Portfolio Allocation Under Higher Moments," Working papers 108, Banque de France.
    9. Alex Huang, 2013. "Value at risk estimation by quantile regression and kernel estimator," Review of Quantitative Finance and Accounting, Springer, vol. 41(2), pages 225-251, August.
    10. Jaehun Chung & Yongmiao Hong, 2007. "Model-free evaluation of directional predictability in foreign exchange markets," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(5), pages 855-889.
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    12. Chavas, Jean-Paul & Li, Jian & Wang, Linjie, 2024. "Option pricing revisited: The role of price volatility and dynamics," Journal of Commodity Markets, Elsevier, vol. 33(C).
    13. Eric Jondeau & Michael Rockinger, 2014. "Systemic Risk in Europe," World Scientific Book Chapters, in: Risk Management Institute (ed.), Global Credit Review, chapter 1, pages 1-6, World Scientific Publishing Co. Pte. Ltd..
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    33. Eric Beutner & Julia Schaumburg & Barend Spanjers, 2024. "Bootstrapping GARCH Models Under Dependent Innovations," Tinbergen Institute Discussion Papers 24-008/III, Tinbergen Institute.
    34. Chorro, Christophe & Ielpo, Florian & Sévi, Benoît, 2020. "The contribution of intraday jumps to forecasting the density of returns," Journal of Economic Dynamics and Control, Elsevier, vol. 113(C).
    35. Kiss, Tamás & Mazur, Stepan & Nguyen, Hoang, 2022. "Predicting returns and dividend growth — The role of non-Gaussian innovations," Finance Research Letters, Elsevier, vol. 46(PA).
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    37. Philippe Lambert & Sébastien Laurent, 2008. "Testing Conditional Dynamics in Asymmetry. A Residual-Based Approach," Working Papers ECARES 2008_009, ULB -- Universite Libre de Bruxelles.
    38. Kristiaan Kerstens & Paolo Mazza & Tiantian Ren & Ignace van de Woestyne, 2022. "Multi-Time and Multi-Moment Nonparametric Frontier-Based Fund Rating: Proposal and Buy-and-Hold Backtesting Strategy," Post-Print hal-03833261, HAL.
    39. Sylvia J. Soltyk & Felix Chan, 2023. "Modeling time‐varying higher‐order conditional moments: A survey," Journal of Economic Surveys, Wiley Blackwell, vol. 37(1), pages 33-57, February.
    40. Srikanth Potharla & Neeraj Kumar & Pooja Choudhary & Surya Kumari Turubilli, 2024. "Is ESG Data Financially Viable? A Case of Stock Price Synchronicity," Management and Labour Studies, XLRI Jamshedpur, School of Business Management & Human Resources, vol. 49(1), pages 62-81, February.
    41. Shackleton, Mark B. & Taylor, Stephen J. & Yu, Peng, 2010. "A multi-horizon comparison of density forecasts for the S&P 500 using index returns and option prices," Journal of Banking & Finance, Elsevier, vol. 34(11), pages 2678-2693, November.
    42. Patton, Andrew J. & Ziegel, Johanna F. & Chen, Rui, 2019. "Dynamic semiparametric models for expected shortfall (and Value-at-Risk)," Journal of Econometrics, Elsevier, vol. 211(2), pages 388-413.
    43. Bertholon, H. & Monfort, A. & Pegoraro, F., 2007. "Pricing and Inference with Mixtures of Conditionally Normal Processes," Working papers 188, Banque de France.
    44. Ergun A. Tolga & Jun Jongbyung, 2010. "Conditional Skewness, Kurtosis, and Density Specification Testing: Moment-Based versus Nonparametric Tests," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 14(3), pages 1-21, September.
    45. Nalpas, Nicolas & Simar, Leopold & Vanhems, Anne, 2016. "Portfolio Selection in a Multi-Input Multi-Output Setting:a Simple Monte-Carlo-FDH Algorithm," LIDAM Discussion Papers ISBA 2016022, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    46. Brian M Lucey, Valerio Poti, Edel Tully, 2006. "International Portfolio Formation, Skewness & the Role of Gold," Frontiers in Finance and Economics, SKEMA Business School, vol. 3(1), pages 49-68, June.
    47. Boubaker, Heni & Sghaier, Nadia, 2013. "Portfolio optimization in the presence of dependent financial returns with long memory: A copula based approach," Journal of Banking & Finance, Elsevier, vol. 37(2), pages 361-377.
    48. Jiang, Chonghui & Ma, Yongkai & An, Yunbi, 2016. "Portfolio selection with a systematic skewness constraint," The North American Journal of Economics and Finance, Elsevier, vol. 37(C), pages 393-405.
    49. 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).
    50. Walter Briec & Kristiaan Kerstens, 2009. "Portfolio Selection in Multidimensional General and Partial Moment Space," Working Papers 2009-ECO-08, IESEG School of Management.
    51. Narayan, Paresh Kumar & Liu, Ruipeng, 2018. "A new GARCH model with higher moments for stock return predictability," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 56(C), pages 93-103.
    52. Kausik Chaudhuri & Matthew Greenwood‐Nimmo & Minjoo Kim & Yongcheol Shin, 2013. "On the Asymmetric U‐Shaped Relationship between Inflation, Inflation Uncertainty, and Relative Price Skewness in the UK," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 45(7), pages 1431-1449, October.
    53. A. Gabrielsen & P. Zagaglia & A. Kirchner & Z. Liu, 2012. "Forecasting Value-at-Risk with Time-Varying Variance, Skewnessn and Kurtosis in an Exponential Weighted Moving Average Framework," Working Papers wp831, Dipartimento Scienze Economiche, Universita' di Bologna.
    54. Fahim Afzal & Pan Haiying & Farman Afzal & Asif Mahmood & Amir Ikram, 2021. "Value-at-Risk Analysis for Measuring Stochastic Volatility of Stock Returns: Using GARCH-Based Dynamic Conditional Correlation Model," SAGE Open, , vol. 11(1), pages 21582440211, March.
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    56. Hamidi Sahneh, Mehdi, 2015. "Are the shocks obtained from SVAR fundamental?," MPRA Paper 65126, University Library of Munich, Germany.
    57. Wu, Xinyu & Xie, Haibin, 2021. "A realized EGARCH-MIDAS model with higher moments," Finance Research Letters, Elsevier, vol. 38(C).
    58. Georges Dionne & Jingyuan Li & Cédric Okou, 2024. "An alternative representation of the C-CAPM with higher-order risks," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 49(2), pages 194-233, September.
    59. Papantonis, Ioannis & Rompolis, Leonidas & Tzavalis, Elias, 2023. "Improving variance forecasts: The role of Realized Variance features," International Journal of Forecasting, Elsevier, vol. 39(3), pages 1221-1237.
    60. Jahan-Parvar, Mohammad R. & Mohammadi, Hassan, 2013. "Risk and return in the Tehran stock exchange," The Quarterly Review of Economics and Finance, Elsevier, vol. 53(3), pages 238-256.
    61. Alizadeh, Amir H. & Gabrielsen, Alexandros, 2013. "Dynamics of credit spread moments of European corporate bond indexes," Journal of Banking & Finance, Elsevier, vol. 37(8), pages 3125-3144.
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    63. Bali, Turan G. & Mo, Hengyong & Tang, Yi, 2008. "The role of autoregressive conditional skewness and kurtosis in the estimation of conditional VaR," Journal of Banking & Finance, Elsevier, vol. 32(2), pages 269-282, February.
    64. Duy Duong & Toan Luu Duc Huynh, 2020. "Tail dependence in emerging ASEAN-6 equity markets: empirical evidence from quantitative approaches," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-26, December.
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    88. 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.
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    Cited by:

    1. Durré Alain, 2006. "The Liquidity Premium in the Money Market: A Comparison of the German Mark Period and the Euro Area," German Economic Review, De Gruyter, vol. 7(2), pages 163-187, May.
    2. Nicolas Rautureau, 2004. "Modèles à changement de régime et test de la théorie des anticipations rationnelles de la structure par terme des taux dintérêt en France," Économie et Prévision, Programme National Persée, vol. 163(2), pages 117-129.
    3. Durré, Alain & Evjen, Snorre & Pilegaard, Rasmus, 2003. "Estimating risk premia in money market rates," Working Paper Series 221, European Central Bank.

  28. Jondeau, Eric & Rockinger, Michael, 2001. "Gram-Charlier densities," Journal of Economic Dynamics and Control, Elsevier, vol. 25(10), pages 1457-1483, October.

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    1. Christodoulakis, George A., 2005. "Financial forecasts in the presence of asymmetric loss aversion, skewness and excess kurtosis," Finance Research Letters, Elsevier, vol. 2(4), pages 227-233, December.
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    13. Erik Schlögl & Lutz Schlögl, 2007. "Factor Distributions Implied by Quoted CDO Spreads Tranche Pricing," Research Paper Series 190, Quantitative Finance Research Centre, University of Technology, Sydney.
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    19. Ornelas, José Renato Haas & Barbachan, José Santiago Fajardo & Farias, Aquiles Rocha de, 2012. "Estimating relative risk aversion, risk-neutral and real-world densities using brazilian real currency options," EBAPE Working Papers 1, FGV EBAPE - Escola Brasileira de Administração Pública e de Empresas (Brazil).
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    21. Baule, Rainer & Korn, Olaf & Kuntz, Laura-Chloé, 2019. "Markowitz with regret," Journal of Economic Dynamics and Control, Elsevier, vol. 103(C), pages 1-24.
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    24. Cheng, Xixin & Li, W.K. & Yu, Philip L.H. & Zhou, Xuan & Wang, Chao & Lo, P.H., 2011. "Modeling threshold conditional heteroscedasticity with regime-dependent skewness and kurtosis," Computational Statistics & Data Analysis, Elsevier, vol. 55(9), pages 2590-2604, September.
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    27. Zhu, Ke & Li, Wai Keung, 2014. "A new Pearson-type QMLE for conditionally heteroskedastic models," MPRA Paper 52732, University Library of Munich, Germany.
    28. Alexander Zeitlberger & Alexander Brauneis, 2016. "Modeling carbon spot and futures price returns with GARCH and Markov switching GARCH models," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 24(1), pages 149-176, March.
    29. Arnold Polanski & Evarist Stoja, 2010. "Incorporating higher moments into value-at-risk forecasting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 29(6), pages 523-535.
    30. Andrea Barletta & Paolo Santucci de Magistris & Francesco Violante, 2016. "Retrieving Risk-Neutral Densities Embedded in VIX Options: a Non-Structural Approach," CREATES Research Papers 2016-20, Department of Economics and Business Economics, Aarhus University.
    31. Del Brio, Esther B. & Perote, Javier, 2012. "Gram–Charlier densities: Maximum likelihood versus the method of moments," Insurance: Mathematics and Economics, Elsevier, vol. 51(3), pages 531-537.
    32. Schlögl, Erik, 2013. "Option pricing where the underlying assets follow a Gram/Charlier density of arbitrary order," Journal of Economic Dynamics and Control, Elsevier, vol. 37(3), pages 611-632.
    33. Ryan Janicki & Tucker S. McElroy, 2016. "Hermite expansion and estimation of monotonic transformations of Gaussian data," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 28(1), pages 207-234, March.
    34. Peter Julian Cayton & Dennis Mapa, 2015. "Time-varying conditional Johnson Su density in Value-at-Risk methodology," Philippine Review of Economics, University of the Philippines School of Economics and Philippine Economic Society, vol. 51(1), pages 23-44, June.
    35. Maria Grazia Zoia & Gianmarco Vacca & Laura Barbieri, 2020. "Modeling Multivariate Financial Series and Computing Risk Measures via Gram–Charlier-Like Expansions," Risks, MDPI, vol. 8(4), pages 1-21, November.
    36. José Renato Haas Ornelas & Marcelo Yoshio Takami, 2011. "Recovering Risk-Neutral Densities from Brazilian Interest Rate Options," Brazilian Review of Finance, Brazilian Society of Finance, vol. 9(1), pages 9-26.
    37. Lina Cortés & Juan M. Lozada & Javier Perote, 2019. "Firm size and concentration inequality: A flexible extension of Gibrat’s law," Documentos de Trabajo de Valor Público 17205, Universidad EAFIT.
    38. Chateau, Jean-Pierre D., 2011. "Contribution à la réglementation de Bâle-3 : de la consistance interne du continuum du crédit commercial en marquant à la « valeur de modèle » le risque de crédit des engagements de crédit," L'Actualité Economique, Société Canadienne de Science Economique, vol. 87(4), pages 445-479, décembre.
    39. 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.
    40. Barletta, Andrea & Santucci de Magistris, Paolo & Violante, Francesco, 2019. "A non-structural investigation of VIX risk neutral density," Journal of Banking & Finance, Elsevier, vol. 99(C), pages 1-20.
    41. Rockinger, M. & Jondeau, E., 2001. "Entropy Densities: with an Application to Autoregressive Conditional Skewness and Kurtosis," Working papers 79, Banque de France.
    42. Ulyah, Siti Maghfirotul & Lin, Xenos Chang-Shuo & Miao, Daniel Wei-Chung, 2018. "Pricing short-dated foreign equity options with a bivariate jump-diffusion model with correlated fat-tailed jumps," Finance Research Letters, Elsevier, vol. 24(C), pages 113-128.
    43. Lina Cortés & Andrés Mora-Valencia & Javier Perote, 2017. "Measuring firm size distribution with semi-nonparametric densities," Documentos de Trabajo de Valor Público 15300, Universidad EAFIT.
    44. Alfredo Trespalacios & Lina M. Cortés & Javier Perote, 2020. "Modeling electricity price and quantity uncertainty: An application for hedging with forward contracts," Documentos de Trabajo de Valor Público 18186, Universidad EAFIT.
    45. Galati, Gabriele & Melick, William & Micu, Marian, 2005. "Foreign exchange market intervention and expectations: The yen/dollar exchange rate," Journal of International Money and Finance, Elsevier, vol. 24(6), pages 982-1011, October.
    46. Ñíguez, Trino-Manuel & Perote, Javier, 2016. "Multivariate moments expansion density: Application of the dynamic equicorrelation model," Journal of Banking & Finance, Elsevier, vol. 72(S), pages 216-232.
    47. Cayton, Peter Julian A. & Mapa, Dennis S., 2012. "Time-varying conditional Johnson SU density in value-at-risk (VaR) methodology," MPRA Paper 36206, University Library of Munich, Germany.
    48. Eva Ferreira & Mónica Gago & Angel León & Gonzalo Rubio, 2005. "An empirical comparison of the performance of alternative option pricing models," Investigaciones Economicas, Fundación SEPI, vol. 29(3), pages 483-523, September.
    49. Fengler, Matthias & Hin, Lin-Yee, 2011. "Semi-nonparametric estimation of the call price surface under strike and time-to-expiry no-arbitrage constraints," Economics Working Paper Series 1136, University of St. Gallen, School of Economics and Political Science, revised May 2013.
    50. Li, Yifan & Nolte, Ingmar & Pham, Manh Cuong, 2024. "Parametric risk-neutral density estimation via finite lognormal-Weibull mixtures," Journal of Econometrics, Elsevier, vol. 241(2).
    51. Vijverberg, Chu-Ping C. & Vijverberg, Wim P.M. & Taşpınar, Süleyman, 2016. "Linking Tukey’s legacy to financial risk measurement," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 595-615.
    52. León, Ángel & Ñíguez, Trino-Manuel, 2020. "Modeling asset returns under time-varying semi-nonparametric distributions," Journal of Banking & Finance, Elsevier, vol. 118(C).
    53. León, Angel & Moreno, Manuel, 2017. "One-sided performance measures under Gram-Charlier distributions," Journal of Banking & Finance, Elsevier, vol. 74(C), pages 38-50.
    54. Hallam, Mark & Olmo, Jose, 2014. "Forecasting daily return densities from intraday data: A multifractal approach," International Journal of Forecasting, Elsevier, vol. 30(4), pages 863-881.
    55. Barletta, Andrea & Santucci de Magistris, Paolo & Sloth, David, 2019. "It only takes a few moments to hedge options," Journal of Economic Dynamics and Control, Elsevier, vol. 100(C), pages 251-269.
    56. Tae-Hwy Lee & Yong Bao & Burak Saltoğlu, 2007. "Comparing density forecast models Previous versions of this paper have been circulated with the title, 'A Test for Density Forecast Comparison with Applications to Risk Management' since October 2003;," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 26(3), pages 203-225.
    57. J. C. Arismendi & Marcel Prokopczuk, 2016. "A moment-based analytic approximation of the risk-neutral density of American options," Applied Mathematical Finance, Taylor & Francis Journals, vol. 23(6), pages 409-444, November.
    58. Ángel León & Gonzalo Rubio & Gregorio Serna, 2004. "Autoregressive Conditional Volatility, Skewness And Kurtosis," Working Papers. Serie AD 2004-13, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    59. Fengler, Matthias R. & Hin, Lin-Yee, 2015. "Semi-nonparametric estimation of the call-option price surface under strike and time-to-expiry no-arbitrage constraints," Journal of Econometrics, Elsevier, vol. 184(2), pages 242-261.
    60. Trino-Manuel Ñíguez & Javier Perote, 2012. "Forecasting Heavy-Tailed Densities with Positive Edgeworth and Gram-Charlier Expansions," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 74(4), pages 600-627, August.
    61. Hainaut, Donatien, 2016. "Impact of volatility clustering on equity indexed annuities," Insurance: Mathematics and Economics, Elsevier, vol. 71(C), pages 367-381.
    62. Andrés Mora-Valencia & Trino-Manuel Ñíguez & Javier Perote, 2017. "Multivariate approximations to portfolio return distribution," Computational and Mathematical Organization Theory, Springer, vol. 23(3), pages 347-361, September.
    63. Choi, ByoungSeon & Kim, Chansoo & Kang, Hyuk & Choi, M.Y., 2020. "General solutions of the heat equation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 539(C).
    64. Damir Filipovi'c & Sander Willems, 2018. "A Term Structure Model for Dividends and Interest Rates," Papers 1803.02249, arXiv.org, revised May 2020.
    65. Leccadito, Arturo & Paletta, Tommaso & Tunaru, Radu, 2016. "Pricing and hedging basket options with exact moment matching," Insurance: Mathematics and Economics, Elsevier, vol. 69(C), pages 59-69.
    66. Del Brio, Esther B. & Ñíguez, Trino-Manuel & Perote, Javier, 2008. "Multivariate Gram-Charlier Densities," MPRA Paper 29073, University Library of Munich, Germany.
    67. Del Brio, Esther B. & Mora-Valencia, Andrés & Perote, Javier, 2014. "Semi-nonparametric VaR forecasts for hedge funds during the recent crisis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 401(C), pages 330-343.
    68. Tsionas, Efthymios G., 2013. "Bayesian inference in regression with Pearson disturbances," Economics Letters, Elsevier, vol. 118(1), pages 177-181.
    69. Alfredo Trespalacios & Lina M. Cortés & Javier Perote, 2019. "Modeling the electricity spot price with switching regime semi-nonparametric distributions," Documentos de Trabajo de Valor Público 17618, Universidad EAFIT.
    70. Bhattacharyya, Malay & Chaudhary, Abhishek & Yadav, Gaurav, 2008. "Conditional VaR estimation using Pearson's type IV distribution," European Journal of Operational Research, Elsevier, vol. 191(2), pages 386-397, December.
    71. Trino-Manuel Niguez & Ivan Paya & David Peel & Javier Perote, 2013. "Higher-order moments in the theory of diversification and portfolio composition," Working Papers 18297128, Lancaster University Management School, Economics Department.
    72. Ardia, David & Boudt, Kris, 2015. "Testing equality of modified Sharpe ratios," Finance Research Letters, Elsevier, vol. 13(C), pages 97-104.
    73. Trespalacios, Alfredo & Cortés, Lina M. & Perote, Javier, 2020. "Uncertainty in electricity markets from a semi-nonparametric approach," Energy Policy, Elsevier, vol. 137(C).
    74. Rihab Bedoui & Haykel Hamdi, 2010. "Implied Risk-Neutral probability Density functions from options prices : A comparison of estimation methods," EconomiX Working Papers 2010-16, University of Paris Nanterre, EconomiX.
    75. Kwamie Dunbar, 2009. "Solving the Non-Linear Dynamic Asset Allocation Problem: Effects of Arbitrary Stochastic Processes and Unsystematic Risk on the Super Efficient Portfolio Space," Working papers 2009-04, University of Connecticut, Department of Economics.
    76. Del Brio, Esther B. & Mora-Valencia, Andrés & Perote, Javier, 2020. "Risk quantification for commodity ETFs: Backtesting value-at-risk and expected shortfall," International Review of Financial Analysis, Elsevier, vol. 70(C).
    77. Degiannakis, Stavros & Xekalaki, Evdokia, 2004. "Autoregressive Conditional Heteroskedasticity (ARCH) Models: A Review," MPRA Paper 80487, University Library of Munich, Germany.
    78. Carnero, M. Angeles & León, Angel & Ñíguez, Trino-Manuel, 2023. "Skewness in energy returns: estimation, testing and retain-->implications for tail risk," The Quarterly Review of Economics and Finance, Elsevier, vol. 90(C), pages 178-189.

  29. Coutant, Sophie & Jondeau, Eric & Rockinger, Michael, 2001. "Reading PIBOR futures options smiles: The 1997 snap election," Journal of Banking & Finance, Elsevier, vol. 25(11), pages 1957-1987, November.

    Cited by:

    1. Jukka Sihvonen & Sami Vähämaa, 2014. "Forward‐Looking Monetary Policy Rules and Option‐Implied Interest Rate Expectations," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 34(4), pages 346-373, April.
    2. Peter Christoffersen & Kris Jacobs & Bo Young Chang, 2011. "Forecasting with Option Implied Information," CREATES Research Papers 2011-46, Department of Economics and Business Economics, Aarhus University.
    3. Breugem, Matthijs & Corvino, Raffaele & Marfè, Roberto & Schönleber, Lorenzo, 2024. "Pandemic tail risk," Journal of Banking & Finance, Elsevier, vol. 167(C).
    4. Abderrahmen Aloulou & Younes Boujelbene, 2019. "Dynamic analysis of implied risk neutral density," International Journal of Monetary Economics and Finance, Inderscience Enterprises Ltd, vol. 12(1), pages 39-58.
    5. Kostakis, Alexandros & Mu, Liangyi & Otsubo, Yoichi, 2023. "Detecting political event risk in the option market," Journal of Banking & Finance, Elsevier, vol. 146(C).
    6. Vahamaa, Sami, 2005. "Option-implied asymmetries in bond market expectations around monetary policy actions of the ECB," Journal of Economics and Business, Elsevier, vol. 57(1), pages 23-38.
    7. Andrea Barletta & Paolo Santucci de Magistris, 2018. "Analyzing the Risks Embedded in Option Prices with rndfittool," Risks, MDPI, vol. 6(2), pages 1-15, March.
    8. Andrea Barletta & Paolo Santucci de Magistris & Francesco Violante, 2016. "Retrieving Risk-Neutral Densities Embedded in VIX Options: a Non-Structural Approach," CREATES Research Papers 2016-20, Department of Economics and Business Economics, Aarhus University.
    9. Luiz Vitiello & Ser-Huang Poon, 2014. "Non-monotonic pricing kernel and an extended class of mixture of distributions for option pricing," Review of Derivatives Research, Springer, vol. 17(2), pages 241-259, July.
    10. Panigirtzoglou, Nikolaos & Skiadopoulos, George, 2004. "A new approach to modeling the dynamics of implied distributions: Theory and evidence from the S&P 500 options," Journal of Banking & Finance, Elsevier, vol. 28(7), pages 1499-1520, July.
    11. José Renato Haas Ornelas & Marcelo Yoshio Takami, 2011. "Recovering Risk-Neutral Densities from Brazilian Interest Rate Options," Brazilian Review of Finance, Brazilian Society of Finance, vol. 9(1), pages 9-26.
    12. Barletta, Andrea & Santucci de Magistris, Paolo & Violante, Francesco, 2019. "A non-structural investigation of VIX risk neutral density," Journal of Banking & Finance, Elsevier, vol. 99(C), pages 1-20.
    13. Äijö, Janne, 2008. "Impact of US and UK macroeconomic news announcements on the return distribution implied by FTSE-100 index options," International Review of Financial Analysis, Elsevier, vol. 17(2), pages 242-258.
    14. Barletta, Andrea & Santucci de Magistris, Paolo & Sloth, David, 2019. "It only takes a few moments to hedge options," Journal of Economic Dynamics and Control, Elsevier, vol. 100(C), pages 251-269.
    15. Vladimir Zdorovenin & Jacques Pézier, 2011. "Does Information Content of Option Prices Add Value for Asset Allocation?," ICMA Centre Discussion Papers in Finance icma-dp2011-03, Henley Business School, University of Reading.
    16. Nessim Souissi, 2017. "The Implied Risk Neutral Density Dynamics: Evidence from the S&P TSX 60 Index," Journal of Applied Mathematics, Hindawi, vol. 2017, pages 1-10, June.
    17. Rihab Bedoui & Haykel Hamdi, 2010. "Implied Risk-Neutral probability Density functions from options prices: A comparison of estimation methods," Working Papers hal-04140913, HAL.

  30. Francois Chesnay & Eric Jondeau, 2001. "Does Correlation Between Stock Returns Really Increase During Turbulent Periods?," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 30(1), pages 53-80, February.
    See citations under working paper version above.
  31. Jondeau, Eric & Rockinger, Michael, 2000. "Reading the smile: the message conveyed by methods which infer risk neutral densities," Journal of International Money and Finance, Elsevier, vol. 19(6), pages 885-915, December.
    See citations under working paper version above.
  32. Jondeau, Eric & Ricart, Roland, 1999. "The expectations hypothesis of the term structure: tests on US, German, French, and UK Euro-rates," Journal of International Money and Finance, Elsevier, vol. 18(5), pages 725-750, October.

    Cited by:

    1. Dayong Zhang & Marco R. Barassi & Jijun Tan, 2015. "Residual-Based Tests for Fractional Cointegration: Testing the Term Structure of Interest Rates," Econometric Reviews, Taylor & Francis Journals, vol. 34(6-10), pages 1118-1140, December.
    2. Jelena Zubkova, 2003. "Interest Rate Term Structure in Latvia in the Monetary Policy Context," Working Papers 2003/03, Latvijas Banka.
    3. Bams, Dennis & Wolff, Christian C. P., 2003. "Risk premia in the term structure of interest rates: a panel data approach," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 13(3), pages 211-236, July.
    4. Durré Alain, 2006. "The Liquidity Premium in the Money Market: A Comparison of the German Mark Period and the Euro Area," German Economic Review, De Gruyter, vol. 7(2), pages 163-187, May.
    5. Refet S. Gürkaynak & Jonathan H. Wright, 2012. "Macroeconomics and the Term Structure," Journal of Economic Literature, American Economic Association, vol. 50(2), pages 331-367, June.
    6. Silva Lopes, Artur C. B. da & Monteiro, Olga Susana, 2008. "Short and long run tests of the expectations hypothesis: the Portuguese case," MPRA Paper 12001, University Library of Munich, Germany.
    7. Davig, Troy & Leeper, Eric M. & Walker, Todd B., 2011. "Inflation and the fiscal limit," European Economic Review, Elsevier, vol. 55(1), pages 31-47, January.
    8. Koukouritakis, Minoas, 2013. "Expectations hypothesis in the context of debt crisis: Evidence from five major EU countries," Research in Economics, Elsevier, vol. 67(3), pages 243-258.
    9. Osmani T. Guillen & Benjamin M. Tabak, 2008. "Characterizing the Brazilian Term Structure of Interest Rates," Working Papers Series 158, Central Bank of Brazil, Research Department.
    10. Nicolas Rautureau, 2004. "Modèles à changement de régime et test de la théorie des anticipations rationnelles de la structure par terme des taux dintérêt en France," Économie et Prévision, Programme National Persée, vol. 163(2), pages 117-129.
    11. Panagiotis T. Konstantinou, 2005. "The Expectations Hypothesis of the Term Structure : A Look at the Polish Interbank Market," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 41(3), pages 70-91, May.
    12. Markku Lanne, 2003. "Testing the Expectations Hypothesis of the Term Structure of Interest Rates in the Presence of a Potential Regime Shift," Manchester School, University of Manchester, vol. 71(s1), pages 54-67, September.
    13. Christian Wolff & Ron Jongen & Willem F.C. Verschoor, 2009. "Time-Variation in Term Permia: International Survey-Based Evidence," LSF Research Working Paper Series 09-02, Luxembourg School of Finance, University of Luxembourg.
    14. van Bergeijk, Peter A. G. & Berk, Jan Marc, 2000. "Is the yield curve a useful Information variable for the Eurosystem?," Working Paper Series 11, European Central Bank.
    15. Benjamin Miranda Tabak & Sandro Canesso de Andrade, 2001. "Testing the Expectations Hypothesis in the Brazilian Term Structure of Interest Rates," Working Papers Series 30, Central Bank of Brazil, Research Department.
    16. Tabak, Benjamin M. & Serra, Thiago R. & Cajueiro, Daniel O., 2009. "The expectation hypothesis of interest rates and network theory: The case of Brazil," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(7), pages 1137-1149.
    17. Rajnish Mehra & Arunima Sinha, 2016. "The Term Structure of Interest Rates in India," NBER Working Papers 22020, National Bureau of Economic Research, Inc.
    18. K. Balcombe, 2006. "Bayesian estimation of cointegrating thresholds in the term structure of interest rates," Empirical Economics, Springer, vol. 31(2), pages 277-289, June.
    19. Wolff, Christian & Verschoor, Willem F C & Jongen, Ron, 2005. "Time Variation in Term Premia: International Evidence," CEPR Discussion Papers 4959, C.E.P.R. Discussion Papers.
    20. Minoas Koukouritakis & Leo Michelis, 2006. "The Term Structure of Interest Rates in the European Union," Working Papers 0611, University of Crete, Department of Economics.
    21. Minoas Koukouritakis & Leo Michelis, 2005. "The Term Structures of Interest Rates in the New and Prospective EU Countries," Working Papers 0505, University of Crete, Department of Economics.
    22. Konstantinou, Panagiotis, 2004. "Term Structure Dynamics: A Daily View from the Hungarian Foreign Currency Deposits Markets," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 57(3), pages 315-331.
    23. Jondeau, E. & Ricart, R., 1997. "La théorie des anticipations de la structure par terme : test à partir des titres publics français," Working papers 45, Banque de France.
    24. Benjamin Tabak, 2009. "Testing the expectations hypothesis in the Brazilian term structure of interest rates: a cointegration analysis," Applied Economics, Taylor & Francis Journals, vol. 41(21), pages 2681-2689.
    25. Silva Lopes, Artur C. & Monteiro, Olga Susana, 2007. "The Expectations Hypothesis of the Term Structure: Some Empirical Evidence for Portugal," MPRA Paper 6310, University Library of Munich, Germany, revised 14 Dec 2007.
    26. Nicholas Addai Boamah, 2016. "Testing the expectations hypothesis of the term structure of interest rate: the case of Ghana," Journal of African Business, Taylor & Francis Journals, vol. 17(1), pages 1-15, January.
    27. Vicente Esteve & Manuel Navarro-Ibáñez & Maria A. Prats, 2010. "The Spanish term structure of interest rates revisited: cointegration with multiple structural breaks, 1974-2010," Working Papers 1001, Department of Applied Economics II, Universidad de Valencia.
    28. Minoas Koukouritakis, 2010. "Structural breaks and the expectations hypothesis of the term structure: evidence from Central European countries," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 145(4), pages 757-774, January.
    29. Drakos, Konstantinos, 2001. "Monetary policy and the yield curve in an emerging market: the Greek case," Emerging Markets Review, Elsevier, vol. 2(3), pages 244-262, September.
    30. Durré, Alain & Evjen, Snorre & Pilegaard, Rasmus, 2003. "Estimating risk premia in money market rates," Working Paper Series 221, European Central Bank.
    31. Harrathi Nizar & Alhoshan Hamed M., 2020. "Validity of the Expectations Hypothesis of the Term Structure of Interest Rates: The Case of Saudi Arabia," Review of Middle East Economics and Finance, De Gruyter, vol. 16(1), pages 1-18, April.
    32. Drakos, Konstantinos, 2003. "The term structure of deviations from the interest parity," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 13(1), pages 57-67, February.
    33. Smant, David / D.J.C., 2010. "Direct tests of the expectations theory of the term structure: Survey expectations, the term premium and coefficient biases," MPRA Paper 19815, University Library of Munich, Germany.
    34. Gianna Boero & Costanza Torricelli, 2002. "The information in the term structure of German interest rates," The European Journal of Finance, Taylor & Francis Journals, vol. 8(1), pages 21-45.
    35. Kelvin Balcombe & Richard Tiffin, 2002. "Bootstrap testing of the expectations hypothesis with the term structure of interest rates," Applied Economics Letters, Taylor & Francis Journals, vol. 9(9), pages 563-566.
    36. Jondeau, E. & Ricart, R., 1997. "Le contenu en information de la pente des taux : application au cas des titres publics français," Working papers 43, Banque de France.
    37. Minoas Koukouritakis & Leo Michelis, 2005. "Term Structure Linkages Among the New EU Countries and the EMU," Working Papers 0515, University of Crete, Department of Economics.
    38. Musti, Silvana & D'Ecclesia, Rita Laura, 2008. "Term structure of interest rates and the expectation hypothesis: The euro area," European Journal of Operational Research, Elsevier, vol. 185(3), pages 1596-1606, March.
    39. Mohamed Z. M. Aazim & Nawalage S. Cooray, 2010. "Monetary Policy and Yield Curve Dynamics in an Emerging Market: Sri Lankan Perspectives," Working Papers EMS_2010_11, Research Institute, International University of Japan.

  33. Catherine Bruneau & Eric Jondeau, 1999. "Long‐run Causality, with an Application to International Links Between Long‐term Interest Rates," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(4), pages 545-568, November.
    See citations under working paper version above.
  34. Éric Jondeau & Roland Ricart, 1999. "Le contenu en information de la pente des taux : application au cas des titres publics français," Économie et Prévision, Programme National Persée, vol. 140(4), pages 1-20.
    See citations under working paper version above.
  35. Eric Jondeau & Franck Sédillot, 1999. "Forecasting French and German long-term rates using a rational expectations model," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 135(3), pages 413-436, September.

    Cited by:

    1. Pami Dua & Nishita Raje & Satyananda Sahoo, 2004. "Interest Rate Modeling and Forecasting in India," Occasional papers 3, Centre for Development Economics, Delhi School of Economics.
    2. Rautureau, Nicolas, 2004. "Measuring the long-term perception of monetary policy and the term structure," Bank of Finland Research Discussion Papers 12/2004, Bank of Finland.
    3. Pami Dua & Nishita Raje & Satyananda Sahoo, 2008. "Forecasting Interest Rates in India," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 2(1), pages 1-41, March.

  36. Éric Jondeau & Roland Ricart, 1998. "La théorie des anticipations de la structure par terme : test à partir de titres publics français," Annals of Economics and Statistics, GENES, issue 52, pages 1-22.
    See citations under working paper version above.
  37. Patrick Jacq & Eric Jondeau & Frank Sédillot, 1993. "Les politiques monétaires au sein du SME," Économie et Prévision, Programme National Persée, vol. 109(3), pages 57-74.
    See citations under working paper version above.
  38. Eric Jondeau, 1992. "La soutenabilité de la politique budgétaire," Économie et Prévision, Programme National Persée, vol. 104(3), pages 1-17.

    Cited by:

    1. Jérôme Creel & Henri Sterdyniak, 1995. "Les déficits publics en Europe. Causes, conséquences ou remèdes à la crise ?," Revue Économique, Programme National Persée, vol. 46(3), pages 645-656.
    2. Carlos Vieira, 2004. "Unsustainable Fiscal Policies in the EU, A Legacy of the 1970s?," Economics Working Papers 1_2004, University of Évora, Department of Economics (Portugal).
    3. James E. Payne, 2003. "A Survey of the International Empirical Evidence on the Tax-Spend Debate," Public Finance Review, , vol. 31(3), pages 302-324, May.
    4. Crettez, B. & Michel, P. & Wigniolle, B., 2000. "Jusqu'ou l'Etat peut-il s'endetter ? Une approche par des modeles à generations imbriquees d'agents," Papiers d'Economie Mathématique et Applications 2000.96, Université Panthéon-Sorbonne (Paris 1).
    5. Pierre-Yves Hénin, 1997. "Soutenabilité des déficits et ajustements budgétaires," Revue Économique, Programme National Persée, vol. 48(3), pages 371-395.

  39. Damien Girardot & Eric Jondeau, 1990. "La substitution entre capital et travail : une évaluation sur données d'entreprises," Économie et Statistique, Programme National Persée, vol. 237(1), pages 135-142.

    Cited by:

    1. Brigitte Dormont, 1994. "Quelle est l'influence du coût du travail sur l'emploi ?," Revue Économique, Programme National Persée, vol. 45(3), pages 399-414.
    2. Boyer, Robert, 1998. "Le lien salaire-emploi dans la théorie de la régulation. Autant de relations que de configurations institutionnelles," CEPREMAP Working Papers (Couverture Orange) 9814, CEPREMAP.
    3. Robert Boyer, 1999. "Le lien salaire-emploi dans la théorie de la régulation. Autant de relations que de configurations institutionnelles," Cahiers d'Économie Politique, Programme National Persée, vol. 34(1), pages 101-161.
    4. Brigitte Dormont, 1997. "L'influence du coût salarial sur la demande de travail," Économie et Statistique, Programme National Persée, vol. 301(1), pages 95-109.

Chapters

  1. Eric Jondeau & Michael Rockinger, 2014. "Systemic Risk in Europe," World Scientific Book Chapters, in: Risk Management Institute (ed.), Global Credit Review, chapter 1, pages 1-6, World Scientific Publishing Co. Pte. Ltd..
    See citations under working paper version above.Sorry, no citations of chapters recorded.
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