IDEAS home Printed from https://ideas.repec.org/e/c/pby2.html
   My authors  Follow this author

Hans Byström
(Hans Bystroem)

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.

Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:
  1. Hans Byström, 2003. "Merton for Dummies: A Flexible Way of Modelling Default Risk," Research Paper Series 112, Quantitative Finance Research Centre, University of Technology, Sydney.

    Mentioned in:

    1. Experts Hate Simplicity (in public)
      by Eric Falkenstein in Falkenblog on 2009-05-05 01:24:00

Working papers

  1. Byström, Hans, 2021. "Credit Risk in a Pandemic," Working Papers 2021:1, Lund University, Department of Economics.

    Cited by:

    1. Alessandra Ortolano & Eugenia Nissi, 2022. "The Volatility of the “Green” Option-Adjusted Spread: Evidence before and during the Pandemic Period," Risks, MDPI, vol. 10(3), pages 1-13, February.

  2. Byström, Hans & Krygier, Dominika, 2018. "What Drives Bitcoin Volatility?," Working Papers 2018:24, Lund University, Department of Economics.

    Cited by:

    1. Ji Ho Kwon, 2021. "On the factors of Bitcoin’s value at risk," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-31, December.
    2. Ahmed M. Khedr & Ifra Arif & Pravija Raj P V & Magdi El‐Bannany & Saadat M. Alhashmi & Meenu Sreedharan, 2021. "Cryptocurrency price prediction using traditional statistical and machine‐learning techniques: A survey," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 28(1), pages 3-34, January.

  3. Byström, Hans, 2016. "Blockchains, Real-Time Accounting and the Future of Credit Risk Modeling," Working Papers 2016:4, Lund University, Department of Economics.

    Cited by:

    1. Nelli AMARFII-RAILEAN, 2020. "Streamlining Management in the Agri-Food Sector through Blockchain Technology," Eastern European Journal for Regional Studies (EEJRS), Center for Studies in European Integration (CSEI), Academy of Economic Studies of Moldova (ASEM), vol. 6(2), pages 92-107, December.

  4. Byström, Hans, 2014. "Language, News and Volatility," Working Papers 2014:41, Lund University, Department of Economics.

    Cited by:

    1. Yen-Ju Hsu & Yang-Cheng Lu & J. Jimmy Yang, 2021. "News sentiment and stock market volatility," Review of Quantitative Finance and Accounting, Springer, vol. 57(3), pages 1093-1122, October.
    2. Ali M. Kutan & Mehmet E. Yaya, 2016. "Armed conflict and financial and economic risk: evidence from Colombia," Risk Management, Palgrave Macmillan, vol. 18(2), pages 159-187, August.
    3. Yi Li & Dehua Shen & Pengfei Wang & Wei Zhang, 2021. "Investor reactions to local and overseas news: Evidence from A‐ and H‐shares in China," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 4190-4225, July.

  5. Byström, Hans, 2014. "Credit-Implied Equity Volatility – Long-Term Forecasts and Alternative Fear Gauges," Working Papers 2014:34, Lund University, Department of Economics.

    Cited by:

    1. Forte, Santiago & Lovreta, Lidija, 2023. "Credit default swaps, the leverage effect, and cross-sectional predictability of equity and firm asset volatility," Journal of Corporate Finance, Elsevier, vol. 79(C).

  6. Byström, Hans, 2013. "The Impact of Currency Movements on Asset Value Correlations," Working Papers 2013:33, Lund University, Department of Economics.

    Cited by:

    1. Byström, Hans, 2016. "The Currency Composition of Firms' Balance Sheets and its Effect on Asset Value Correlations and Capital Requirements," Working Papers 2016:1, Lund University, Department of Economics.

  7. Byström, Hans, 2013. "Stock Prices and Stock Return Volatilities Implied by the Credit Market," Working Papers 2013:25, Lund University, Department of Economics, revised 14 Feb 2014.

    Cited by:

    1. Byström, Hans, 2014. "Credit-Implied Equity Volatility – Long-Term Forecasts and Alternative Fear Gauges," Working Papers 2014:34, Lund University, Department of Economics.
    2. Byström, Hans, 2016. "Credit-implied forward volatility and volatility expectations," Finance Research Letters, Elsevier, vol. 16(C), pages 132-138.

  8. Byström, Hans, 2009. "News Aggregators, Volatility and the Stock Market," Working Papers 2009:11, Lund University, Department of Economics.

    Cited by:

    1. Yang, Xiaolan & Zhu, Yu & Cheng, Teng Yuan, 2020. "How the individual investors took on big data: The effect of panic from the internet stock message boards on stock price crash," Pacific-Basin Finance Journal, Elsevier, vol. 59(C).
    2. Byström, Hans, 2016. "Language, news and volatility," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 42(C), pages 139-154.

  9. Byström, Hans, 2007. "Structured Microfinance in China," Working Papers 2007:18, Lund University, Department of Economics.

    Cited by:

    1. Andreas Pfingsten, 2009. "Das Sub-Prime-Virus: Ursachen und Folgen der Finanzkrise," Vierteljahrshefte zur Wirtschaftsforschung / Quarterly Journal of Economic Research, DIW Berlin, German Institute for Economic Research, vol. 78(1), pages 14-24.
    2. Moulin, Bertrand, 2011. "Microfinance investment vehicles in Sub-Saharan Africa: constraints and potentials," MPRA Paper 32967, University Library of Munich, Germany.
    3. Dorfleitner, G. & Priberny, C., 2013. "A quantitative model for structured microfinance," The Quarterly Review of Economics and Finance, Elsevier, vol. 53(1), pages 12-22.
    4. Eva Terberger, 2009. "Subprime-Krise, strukturierte Finanzierung und die Förderung der Mikrokreditvergabe," Vierteljahrshefte zur Wirtschaftsforschung / Quarterly Journal of Economic Research, DIW Berlin, German Institute for Economic Research, vol. 78(1), pages 40-55.

  10. Byström, Hans, 2006. "The Microfinance Collateralized Debt Obligation: a Modern Robin Hood?," Working Papers 2006:14, Lund University, Department of Economics, revised 21 Aug 2006.

    Cited by:

    1. Dorfleitner, Gregor & Röhe, Michaela & Renier, Noémie, 2017. "The access of microfinance institutions to debt capital: An empirical investigation of microfinance investment vehicles," The Quarterly Review of Economics and Finance, Elsevier, vol. 65(C), pages 1-15.
    2. Andreas Pfingsten, 2009. "Das Sub-Prime-Virus: Ursachen und Folgen der Finanzkrise," Vierteljahrshefte zur Wirtschaftsforschung / Quarterly Journal of Economic Research, DIW Berlin, German Institute for Economic Research, vol. 78(1), pages 14-24.
    3. Byström, Hans, 2007. "Structured Microfinance in China," Working Papers 2007:18, Lund University, Department of Economics.
    4. Dorfleitner, G. & Priberny, C., 2013. "A quantitative model for structured microfinance," The Quarterly Review of Economics and Finance, Elsevier, vol. 53(1), pages 12-22.
    5. Karel Janda & Barbora Svarovska, 2012. "Suitability of Microfinance as an Investment Option," CERGE-EI Working Papers wp470, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    6. Mader, Philip, 2011. "Making the poor pay for public goods via microfinance: Economic and political pitfalls in the case of water and sanitation," MPIfG Discussion Paper 11/14, Max Planck Institute for the Study of Societies.
    7. Eva Terberger, 2009. "Subprime-Krise, strukturierte Finanzierung und die Förderung der Mikrokreditvergabe," Vierteljahrshefte zur Wirtschaftsforschung / Quarterly Journal of Economic Research, DIW Berlin, German Institute for Economic Research, vol. 78(1), pages 40-55.
    8. Kirchstein, Katja & Welvers, Kathleen, 2010. "Will microfinance continue to evolve into a mainstream asset class? Indications in favor and against," Proceedings of the German Development Economics Conference, Hannover 2010 36, Verein für Socialpolitik, Research Committee Development Economics.
    9. Tzu-Kuan Chiu, 2017. "Factors Influencing Microfinance Engagements by Formal Financial Institutions," Journal of Business Ethics, Springer, vol. 143(3), pages 565-587, July.
    10. Philip Mader, 2011. "Attempting the Production of Public Goods through Microfinance," Journal of Infrastructure Development, India Development Foundation, vol. 3(2), pages 153-170, December.
    11. Dorfleitner, Gregor & Oswald, Eva-Maria & Röhe, Michaela, 2020. "The access of microfinance institutions to financing via the worldwide crowd," The Quarterly Review of Economics and Finance, Elsevier, vol. 75(C), pages 133-146.

  11. Byström, Hans N. E., 2005. "Credit Default Swaps and Equity Prices: The Itraxx CDS Index Market," Working Papers 2005:24, Lund University, Department of Economics, revised 15 May 2005.

    Cited by:

    1. William Arrata & Alejandro Bernales & Virginie Coudert, 2013. "The effects of Derivatives on Underlying Financial Markets: Equity Options, Commodity Futures and Credit Default Swaps," Post-Print hal-01410748, HAL.
    2. Haerri, Matthias & Morkoetter, Stefan & Westerfeld, Simone, 2014. "Sovereign Risk and the Pricing of Corporate Credit Default Swaps," Working Papers on Finance 1423, University of St. Gallen, School of Finance, revised Feb 2015.
    3. Niels C. Thygesen & Robert N. McCauley & Guonan Ma & William R. White & Jakob de Haan & Willem van den End & Jon Frost & Christiaan Pattipeilohy & Mostafa Tabbae & Ernest Gnan & Morten Balling & Paul , 2013. "50 Years of Money and Finance: Lessons and Challenges," SUERF 50th Anniversary Volume - 50 Years of Money and Finance: Lessons and Challenges, SUERF - The European Money and Finance Forum, number 1 edited by Morten Balling & Ernest Gnan, March.
    4. Murat EREN, & Selim BAÅžAR, 2016. "Effects Of Credit Default Swaps (Cds) On Bist-100 Index," EcoForum, "Stefan cel Mare" University of Suceava, Romania, Faculty of Economics and Public Administration - Economy, Business Administration and Tourism Department., vol. 5(Special I), pages 1-27, august.
    5. Stephen Zamore & Kwame Ohene Djan & Ilan Alon & Bersant Hobdari, 2018. "Credit Risk Research: Review and Agenda," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 54(4), pages 811-835, March.
    6. Alexander, Carol & Kaeck, Andreas, 2008. "Regime dependent determinants of credit default swap spreads," Journal of Banking & Finance, Elsevier, vol. 32(6), pages 1008-1021, June.
    7. Shahzad, Syed Jawad Hussain & Nor, Safwan Mohd & Hammoudeh, Shawkat & Shahbaz, Muhammad, 2016. "Directional and bidirectional causality between U.S. industry credit and stock markets and their determinants," MPRA Paper 74705, University Library of Munich, Germany, revised 20 Oct 2016.
    8. Virginie Coudert & Mathieu Gex, 2008. "Contagion in the Credit Default Swap Market: the case of the GM and Ford Crisis in 2005," Working Papers 2008-14, CEPII research center.
    9. Wisniewski, Tomasz Piotr & Lambe, Brendan John, 2015. "Does economic policy uncertainty drive CDS spreads?," International Review of Financial Analysis, Elsevier, vol. 42(C), pages 447-458.
    10. Abbassi, Puriya & Linzert, Tobias, 2012. "The effectiveness of monetary policy in steering money market rates during the financial crisis," Journal of Macroeconomics, Elsevier, vol. 34(4), pages 945-954.
    11. William Arrata & Alejandro Bernales & Virginie Coudert, 2013. "The Effects of Derivatives on Underlying Financial Markets: Equity Options, Commodity Derivatives and Credit Default Swaps," SUERF 50th Anniversary Volume Chapters, in: Morten Balling & Ernest Gnan (ed.), 50 Years of Money and Finance: Lessons and Challenges, chapter 13, pages 445-473, SUERF - The European Money and Finance Forum.
    12. Bernardo León & Andrés Mora, 2011. "CDS: relación con índices accionarios y medida de riesgo," Revista ESPE - Ensayos sobre Política Económica, Banco de la Republica de Colombia, vol. 29(64), pages 178-211, July.
    13. Thomas Dimpfl & Franziska J. Peter, 2012. "Using transfer entropy to measure information flows between financial markets," SFB 649 Discussion Papers SFB649DP2012-051, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    14. Trutwein, Patrick & Schiereck, Dirk, 2011. "The fast and the furious--Stock returns and CDS of financial institutions under stress," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 21(2), pages 157-175, April.
    15. Laura Ballester & Ana González-Urteaga, 2020. "Is There a Connection between Sovereign CDS Spreads and the Stock Market? Evidence for European and US Returns and Volatilities," Mathematics, MDPI, vol. 8(10), pages 1-34, September.
    16. Kizys, Renatas & Paltalidis, Nikos & Vergos, Konstantinos, 2016. "The quest for banking stability in the euro area: The role of government interventions," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 40(C), pages 111-133.
    17. Marc Peters & Hugues Pirotte, 2014. "Unveiling Sovereign Effects in European Banks CDS Spreads Variations," Working Papers CEB 14-018, ULB -- Universite Libre de Bruxelles.
    18. Nephil Matangi Maskay, 2010. "Macro-Financial Links and Monetary Policy Management," Research Studies, South East Asian Central Banks (SEACEN) Research and Training Centre, number rp78.
    19. Schreiber, Irene & Müller, Gernot & Klüppelberg, Claudia & Wagner, Niklas, 2012. "Equities, credits and volatilities: A multivariate analysis of the European market during the subprime crisis," International Review of Financial Analysis, Elsevier, vol. 24(C), pages 57-65.
    20. Giacomo Bulfone & Roberto Casarin & Francesco Ravazzolo, 2021. "Corporate CDS spreads from the Eurozone crisis to COVID-19 pandemic: A Bayesian Markov switching model," Working Paper series 21-09, Rimini Centre for Economic Analysis.
    21. Wang, Ping & Moore, Tomoe, 2012. "The integration of the credit default swap markets during the US subprime crisis: Dynamic correlation analysis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 22(1), pages 1-15.
    22. Laura Ballester & Ana Mónica Escrivá & Ana González-Urteaga, 2021. "The Nexus between Sovereign CDS and Stock Market Volatility: New Evidence," Mathematics, MDPI, vol. 9(11), pages 1-23, May.
    23. Colin Turfus & Alexander Shubert, 2017. "ANALYTIC PRICING OF CoCo BONDS," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 20(05), pages 1-26, August.
    24. Nielsen, Caren Yinxia, 2011. "Hidden in the Factors? The Effect of Credit Risk on the Cross-section of Equity Returns," Working Papers 2011:38, Lund University, Department of Economics, revised 01 Oct 2016.
    25. Breitenfellner, Bastian & Wagner, Niklas, 2012. "Explaining aggregate credit default swap spreads," International Review of Financial Analysis, Elsevier, vol. 22(C), pages 18-29.
    26. Byström, Hans, 2013. "Stock Prices and Stock Return Volatilities Implied by the Credit Market," Working Papers 2013:25, Lund University, Department of Economics, revised 14 Feb 2014.
    27. Carol Alexander & Andreas Kaeck, 2006. "Regimes in CDS Spreads: A Markov Switching Model of iTraxx Europe Indices," ICMA Centre Discussion Papers in Finance icma-dp2006-08, Henley Business School, University of Reading.
    28. Benbouzid, Nadia & Mallick, Sushanta & Pilbeam, Keith, 2018. "The housing market and the credit default swap premium in the UK banking sector: A VAR approach," Research in International Business and Finance, Elsevier, vol. 44(C), pages 1-15.
    29. Niţoi, Mihai & Pochea, Maria Miruna, 2016. "Testing financial markets convergence in Central and Eastern Europe: A non-linear single factor model," Economic Systems, Elsevier, vol. 40(2), pages 323-334.
    30. Roshanthi Dias, 2017. "The role of managerial risk-taking in the ‘rise and fall’ of the CDS market," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 57, pages 117-145, April.
    31. Giovanni Calice & Christos Ioannidis & Julian Williams, 2011. "Credit Derivatives and the Default Risk of Large Complex Financial Institutions," CESifo Working Paper Series 3583, CESifo.
    32. Veronika Kajurova & Jana Hvozdenska, 2016. "Linkages between CDS, bond and stock markets: Evidence from Europe," MENDELU Working Papers in Business and Economics 2016-63, Mendel University in Brno, Faculty of Business and Economics.
    33. Hasan Murat Ertugrul & Huseyin Ozturk, 2013. "The Drivers of Credit Default Swap Prices: Evidence from Selected Emerging Market Countries," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 49(S5), pages 228-249, November.
    34. Lamia Bekkour & Thorsten Lehnert & Maria Chiara Amadori, 2011. "The Relative Informational Efficiency of Stocks, Options and Credit Default Swaps," LSF Research Working Paper Series 11-13, Luxembourg School of Finance, University of Luxembourg.

  12. Byström, Hans, 2005. "Using Credit Derivatives to Compute Market-Wide Default Probability Term Structures," Working Papers 2005:44, Lund University, Department of Economics.

    Cited by:

    1. Augustin, Patrick & Subrahmanyam, Marti G. & Tang, Dragon Yongjun & Wang, Sarah Qian, 2014. "Credit Default Swaps: A Survey," Foundations and Trends(R) in Finance, now publishers, vol. 9(1-2), pages 1-196, December.

  13. Byström, Hans & Olofsdotter , Karin & Söderström, Lars, 2005. "Is China an Optimum Currency Area?," Working Papers 2005:6, Lund University, Department of Economics.

    Cited by:

    1. Ephrem Habtemichael Redda & Paul-Francois Muzindutsi, 2017. "Feasibility of Monetary Union in the SADC and EAC: Evidence from Business Cycle Synchronisation," EuroEconomica, Danubius University of Galati, issue 2(36), pages 135-144, November.
    2. Fabrizio Carmignani & James S. Laurenceson, 2013. "Provincial business cycles and fiscal policy in China," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 21(2), pages 323-340, April.
    3. Fegheh Majidi , Ali, 2014. "Currency Union and Bilateral Trade: Evidence from OIC Countries," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 9(2), pages 140-166, October.
    4. Dougherty, Sean & Herd, Richard & He, Ping, 2007. "Has a private sector emerged in China's industry? Evidence from a quarter of a million Chinese firms," China Economic Review, Elsevier, vol. 18(3), pages 309-334.

  14. Byström , Hans & Worasinchai , Lugkana & Chongsithipol , Srisuda, 2004. "Default Risk, Systematic Risk and Thai Firms Before, During and After the Asian Crisis," Working Papers 2005:5, Lund University, Department of Economics.

    Cited by:

    1. Suzan Hol, 2006. "The influence of the business cycle on bankruptcy probability," Discussion Papers 466, Statistics Norway, Research Department.
    2. Marjit, Sugata & Das, Pranab Kumar & Bardhan, Samaresh, 2007. "A portfolio based theory of excessive foreign borrowing and capital control in a small open economy," Research in International Business and Finance, Elsevier, vol. 21(2), pages 175-187, June.
    3. Abinzano, Isabel & Gonzalez-Urteaga, Ana & Muga, Luis & Sanchez, Santiago, 2020. "Performance of default-risk measures: the sample matters," Journal of Banking & Finance, Elsevier, vol. 120(C).
    4. Tabak, Benjamin M. & Luduvice, André Victor D. & Cajueiro, Daniel O., 2011. "Modeling default probabilities: The case of Brazil," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 21(4), pages 513-534, October.
    5. Marcelo Yoshio Takami & Benjamin Miranda Tabak, 2006. "Avaliação Do Risco Sistêmico Do Setor Bancário Brasileiro," Anais do XXXIV Encontro Nacional de Economia [Proceedings of the 34th Brazilian Economics Meeting] 96, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    6. Evrensel, Ayse Y. & Kutan, Ali M., 2007. "IMF-related announcements and stock market returns: Evidence from financial and non-financial sectors in Indonesia, Korea, and Thailand," Pacific-Basin Finance Journal, Elsevier, vol. 15(1), pages 80-104, January.
    7. Duc Hong Vo & Binh Vo-Ninh Pham & Trung Vu-Thanh Pham & Michael McAleer, 2019. "Corporate Financial Distress of Industry Level Listings in an Emerging Market," Documentos de Trabajo del ICAE 2019-09, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    8. Isabel Abinzano & Pilar Corredor & Beatriz Martinez, 2021. "Does family ownership always reduce default risk?," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(3), pages 4025-4060, September.
    9. Jacques, Sébastien & Lai, Van Son & Soumaré, Issouf, 2011. "Synthetizing a debt guarantee: Super-replication versus utility approach," International Review of Financial Analysis, Elsevier, vol. 20(1), pages 27-40, January.
    10. Duc Hong Vo & Binh Ninh Vo Pham & Chi Minh Ho & Michael McAleer, 2019. "Corporate Financial Distress of Industry Level Listings in Vietnam," JRFM, MDPI, vol. 12(4), pages 1-17, September.
    11. Tabak, Benjamin M. & Staub, Roberta B., 2007. "Assessing financial instability: The case of Brazil," Research in International Business and Finance, Elsevier, vol. 21(2), pages 188-202, June.
    12. Dinh, Thi Huyen Thanh & Kleimeier, Stefanie, 2007. "A credit scoring model for Vietnam's retail banking market," International Review of Financial Analysis, Elsevier, vol. 16(5), pages 471-495.

  15. Byström, Hans & Kwon, Oh Kang, 2003. "A Simple Continuous Measure of Credit Risk," Working Papers 2003:14, Lund University, Department of Economics, revised 18 Jan 2005.

    Cited by:

    1. Aleksandra Wójcicka, 2012. "Calibration of a credit rating scale for Polish companies," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 22(3), pages 63-73.
    2. Su-Lien Lu, 2013. "Measuring credit risk by using a parameterized model under risk-neutral measure," Applied Economics Letters, Taylor & Francis Journals, vol. 20(8), pages 719-723, May.
    3. Mariusz Górajski & Dobromił Serwa & Zuzanna Wośko, 2019. "Measuring expected time to default under stress conditions for corporate loans," Empirical Economics, Springer, vol. 57(1), pages 31-52, July.
    4. Carl Chiarella & Christina Nikitopoulos Sklibosios & Erik Schlögl, 2007. "A Markovian Defaultable Term Structure Model With State Dependent Volatilities," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 10(01), pages 155-202.
    5. Aleksandra Wójcicka-Wójtowicz, 2018. "Credit risk mangement in finance - a review of various approaches," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 28(4), pages 99-106.
    6. Christina Nikitopoulos-Sklibosios, 2005. "A Class of Markovian Models for the Term Structure of Interest Rates Under Jump-Diffusions," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 1-2005.
    7. Baker, H. Kent & Kumar, Satish & Goyal, Kirti & Sharma, Anuj, 2021. "International review of financial analysis: A retrospective evaluation between 1992 and 2020," International Review of Financial Analysis, Elsevier, vol. 78(C).

  16. Byström, Hans, 2003. "Estimating Default Probabilities Using Stock Prices: The Swedish Banking Sector During the 1990s Banking Crisis," Working Papers 2003:1, Lund University, Department of Economics.

    Cited by:

    1. William R. Cline, 2010. "Financial Globalization, Economic Growth, and the Crisis of 2007-09," Peterson Institute Press: All Books, Peterson Institute for International Economics, number 499, July.

  17. Hans Byström, 2003. "Merton for Dummies: A Flexible Way of Modelling Default Risk," Research Paper Series 112, Quantitative Finance Research Centre, University of Technology, Sydney.

    Cited by:

    1. Rodrigo Alfaro A. & Rodrigo Cifuentes S., 2009. "FinanciaL Stability, Monetary Policy and Central Banking: an Overview," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 12(2), pages 5-10, August.
    2. Muhammad Suhail Rizwan & Asifa Obaid & Dawood Ashraf, 2017. "The Impact of Corporate Social Responsibility on Default Risk: Empirical evidence from US Firms," Business & Economic Review, Institute of Management Sciences, Peshawar, Pakistan, vol. 9(3), pages 36-70, September.
    3. Byström, Hans N. E., 2005. "Credit Default Swaps and Equity Prices: The Itraxx CDS Index Market," Working Papers 2005:24, Lund University, Department of Economics, revised 15 May 2005.
    4. Rodrigo A. Alfaro. & Andrés Sagner & Carmen G. Silva, 2011. "Aplicaciones del Modelo Binomial para el Análisis de Riesgo," Working Papers Central Bank of Chile 631, Central Bank of Chile.
    5. Rodrigo Alfaro A. & Natalia Gallardo S. & Camilo Vio G., 2010. "Análisis de Derechos Contingentes: Aplicación a Casas Comerciales," Notas de Investigación Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 13(1), pages 73-82, April.

  18. Byström, Hans, 2003. "The Market’s View on the Probability of Banking Sector Failure: Cross-Country Comparisons," Working Papers 2003:2, Lund University, Department of Economics.

    Cited by:

    1. Apanard P. Prabha & Clas Wihlborg & Thomas D. Willett, 2012. "Market Discipline for Financial Institutions and Markets for Information," Chapters, in: James R. Barth & Chen Lin & Clas Wihlborg (ed.), Research Handbook on International Banking and Governance, chapter 13, Edward Elgar Publishing.
    2. Carlos C. Bautista & Philippe Rous & Amine Tarazi, 2008. "The Determinants of Domestic and Cross Border Bank Contagion Risk in Southeast Asia," Post-Print hal-00838543, HAL.
    3. Tabak, Benjamin M. & Luduvice, André Victor D. & Cajueiro, Daniel O., 2011. "Modeling default probabilities: The case of Brazil," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 21(4), pages 513-534, October.
    4. Byström , Hans & Worasinchai , Lugkana & Chongsithipol , Srisuda, 2004. "Default Risk, Systematic Risk and Thai Firms Before, During and After the Asian Crisis," Working Papers 2005:5, Lund University, Department of Economics.
    5. Fernandez, Ana I. & Gonzalez, Francisco, 2005. "How accounting and auditing systems can counteract risk-shifting of safety-nets in banking: Some international evidence," Journal of Financial Stability, Elsevier, vol. 1(4), pages 466-500, October.
    6. Kamila Tomczak, 2023. "Transmission of the 2007–2008 financial crisis in advanced countries of the European Union," Bulletin of Economic Research, Wiley Blackwell, vol. 75(1), pages 40-64, January.
    7. Hans Degryse & Sanja Jakovljević & Steven Ongena, 2015. "A Review of Empirical Research on the Design and Impact of Regulation in the Banking Sector," Annual Review of Financial Economics, Annual Reviews, vol. 7(1), pages 423-443, December.
    8. Jutasompakorn, Pearpilai & Brooks, Robert & Brown, Christine & Treepongkaruna, Sirimon, 2014. "Banking crises: Identifying dates and determinants," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 32(C), pages 150-166.
    9. Tabak, Benjamin M. & Staub, Roberta B., 2007. "Assessing financial instability: The case of Brazil," Research in International Business and Finance, Elsevier, vol. 21(2), pages 188-202, June.
    10. Angkinand, Apanard P., 2009. "Banking regulation and the output cost of banking crises," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 19(2), pages 240-257, April.
    11. Sarlin, Peter & Peltonen, Tuomas A., 2013. "Mapping the state of financial stability," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 26(C), pages 46-76.
    12. Pasali, Selahattin Selsah, 2013. "Where is the cheese ? synthesizing a giant literature on causes and consequences of financial sector development," Policy Research Working Paper Series 6655, The World Bank.

  19. Byström, Hans, 2001. "Extreme Value Theory and Extremely Large Electricity Price Changes," Working Papers 2001:19, Lund University, Department of Economics.

    Cited by:

    1. Erzgräber, Hartmut & Strozzi, Fernanda & Zaldívar, José-Manuel & Touchette, Hugo & Gutiérrez, Eugénio & Arrowsmith, David K., 2008. "Time series analysis and long range correlations of Nordic spot electricity market data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(26), pages 6567-6574.
    2. M. Angeles Carnero & Siem Jan Koopman & Marius Ooms, 2003. "Periodic Heteroskedastic RegARFIMA Models for Daily Electricity Spot Prices," Tinbergen Institute Discussion Papers 03-071/4, Tinbergen Institute.
    3. Clements, A.E. & Hurn, A.S. & Li, Z., 2016. "Strategic bidding and rebidding in electricity markets," Energy Economics, Elsevier, vol. 59(C), pages 24-36.
    4. Herrera, Rodrigo & González, Nicolás, 2014. "The modeling and forecasting of extreme events in electricity spot markets," International Journal of Forecasting, Elsevier, vol. 30(3), pages 477-490.
    5. Karmakar, Madhusudan & Shukla, Girja K., 2015. "Managing extreme risk in some major stock markets: An extreme value approach," International Review of Economics & Finance, Elsevier, vol. 35(C), pages 1-25.
    6. Bottazzi, G. & Sapio, S. & Secchi, A., 2005. "Some statistical investigations on the nature and dynamics of electricity prices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 355(1), pages 54-61.
    7. Rafał Weron, 2009. "Heavy-tails and regime-switching in electricity prices," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 69(3), pages 457-473, July.
    8. 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.
    9. Sandro Sapio, 2012. "Modeling the distribution of day-ahead electricity returns: a comparison," Quantitative Finance, Taylor & Francis Journals, vol. 12(12), pages 1935-1949, December.
    10. 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.
    11. Sophie Chemarin & Andreas Heinen & Eric Strobl, 2008. "Electricity, carbon and weather in France: where do we stand ?," Working Papers hal-00340171, HAL.
    12. Sandro Sapio, 2006. "An Empirically Based Model of the Supply Schedule in Day-Ahead Electricity Markets," LEM Papers Series 2006/12, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    13. 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.
    14. Fong Chan, Kam & Gray, Philip, 2006. "Using extreme value theory to measure value-at-risk for daily electricity spot prices," International Journal of Forecasting, Elsevier, vol. 22(2), pages 283-300.
    15. Mario Domingues de Paula Simões & Marcelo Cabus Klotzle & Antonio Carlos Figueiredo Pinto & Leonardo Lima Gomes, 2016. "Electricity prices forecast analysis using the extreme value theory," International Journal of Financial Markets and Derivatives, Inderscience Enterprises Ltd, vol. 5(1), pages 1-22.
    16. Tafakori, Laleh & Pourkhanali, Armin & Fard, Farzad Alavi, 2018. "Forecasting spikes in electricity return innovations," Energy, Elsevier, vol. 150(C), pages 508-526.
    17. Halkos, George & Tsirivis, Apostolos, 2019. "Using Value-at-Risk for effective energy portfolio risk management," MPRA Paper 91674, University Library of Munich, Germany.
    18. T M Christensen & A S Hurn & K A Lindsay, 2008. "It never rains but it pours: Modelling the persistence of spikes in electricity prices," NCER Working Paper Series 25, National Centre for Econometric Research.
    19. A. Stan Hurn & Annastiina Silvennoinen & Timo Teräsvirta, 2016. "A Smooth Transition Logit Model of The Effects of Deregulation in the Electricity Market," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(4), pages 707-733, June.
    20. Lucia, Julio J. & Torró, Hipòlit, 2011. "On the risk premium in Nordic electricity futures prices," International Review of Economics & Finance, Elsevier, vol. 20(4), pages 750-763, October.
    21. Karakatsani Nektaria V & Bunn Derek W., 2010. "Fundamental and Behavioural Drivers of Electricity Price Volatility," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 14(4), pages 1-42, September.
    22. Chan, Kam Fong & Gray, Philip & van Campen, Bart, 2008. "A new approach to characterizing and forecasting electricity price volatility," International Journal of Forecasting, Elsevier, vol. 24(4), pages 728-743.
    23. Sandro Sapio, 2004. "Market Design, Bidding Rules, and Long Memory in Electricity Prices," LEM Papers Series 2004/07, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    24. Kao, Lie-Jane & Wu, Po-Cheng & Lee, Cheng-Few, 2012. "Time-changed GARCH versus the GARJI model for prediction of extreme news events: An empirical study," International Review of Economics & Finance, Elsevier, vol. 21(1), pages 115-129.
    25. Peter Julian A Cayton & Dennis S Mapa & Mary Therese A Lising, 2010. "Estimating Value At Risk Var Using Tivex Pot Models," Journal of Advanced Studies in Finance, ASERS Publishing, vol. 1(2), pages 152-170.
    26. G. Papaioannou & P. Papaioannou & N. Parliaris, 2014. "Modeling the stylized facts of wholesale system marginal price (SMP) and the impacts of regulatory reforms on the Greek Electricity Market," Papers 1401.5452, arXiv.org.
    27. Eduardo Martínez Chombo, 2005. "Decomposing electricity prices with jumps," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, vol. 20(1), pages 27-52.
    28. Francesca Di Pillo & Vito Introna & Nathan Levialdi & Laura Marchegiani, 2018. "Regulatory Response to Self-production of Energy: A Risk for the Development of Renewable Sources and Combined Heat and Power," International Journal of Energy Economics and Policy, Econjournals, vol. 8(3), pages 121-130.
    29. Rafal Weron, 2006. "Modeling and Forecasting Electricity Loads and Prices: A Statistical Approach," HSC Books, Hugo Steinhaus Center, Wroclaw University of Technology, number hsbook0601.
    30. Grossi, Luigi & Nan, Fany, 2019. "Robust forecasting of electricity prices: Simulations, models and the impact of renewable sources," Technological Forecasting and Social Change, Elsevier, vol. 141(C), pages 305-318.
    31. Marimoutou, Velayoudoum & Raggad, Bechir & Trabelsi, Abdelwahed, 2009. "Extreme Value Theory and Value at Risk: Application to oil market," Energy Economics, Elsevier, vol. 31(4), pages 519-530, July.
    32. Lundgren, Jens & Hellström, Jörgen & Rudholm, Niklas, 2008. "Multinational Electricity Market Integration and Electricity Price Dynamics," HUI Working Papers 16, HUI Research.
    33. T M Christensen & A. S. Hurn & K A Lindsay, 2008. "Discrete time-series models when counts are unobservable," NCER Working Paper Series 35, National Centre for Econometric Research.
    34. Manel Youssef & Lotfi Belkacem & Khaled Mokni, 2015. "Extreme Value Theory and long-memory-GARCH Framework: Application to Stock Market," International Journal of Economics and Empirical Research (IJEER), The Economics and Social Development Organization (TESDO), vol. 3(8), pages 371-388, August.
    35. Rubin, Ofir David, 2010. "Equilibrium pricing in electricity markets with wind power," ISU General Staff Papers 201001010800002361, Iowa State University, Department of Economics.
    36. Bunn, Derek W. & Gianfreda, Angelica, 2010. "Integration and shock transmissions across European electricity forward markets," Energy Economics, Elsevier, vol. 32(2), pages 278-291, March.
    37. Paraschiv, Florentina, 2013. "Price Dynamics in Electricity Markets," Working Papers on Finance 1314, University of St. Gallen, School of Finance.
    38. Hagfors, Lars Ivar & Kamperud , Hilde Horthe & Paraschiv, Florentina & Prokopczuk, Marcel & Sator, Alma & Westgaard, Sjur, 2016. "Prediction of Extreme Price Occurrences in the German Day-ahead Electricity Market," Working Papers on Finance 1622, University of St. Gallen, School of Finance.
    39. Clements, A.E. & Herrera, R. & Hurn, A.S., 2015. "Modelling interregional links in electricity price spikes," Energy Economics, Elsevier, vol. 51(C), pages 383-393.
    40. Liu, Hung-Chun & Chiang, Shu-Mei & Cheng, Nick Ying-Pin, 2012. "Forecasting the volatility of S&P depositary receipts using GARCH-type models under intraday range-based and return-based proxy measures," International Review of Economics & Finance, Elsevier, vol. 22(1), pages 78-91.
    41. Paraschiv, Florentina & Mudry, Pierre-Antoine & Andries, Alin Marius, 2015. "Stress-testing for portfolios of commodity futures," Economic Modelling, Elsevier, vol. 50(C), pages 9-18.
    42. Olga Y. Uritskaya & Vadim M. Uritsky, 2015. "Predictability of price movements in deregulated electricity markets," Papers 1505.08117, arXiv.org.
    43. Christensen, T.M. & Hurn, A.S. & Lindsay, K.A., 2012. "Forecasting spikes in electricity prices," International Journal of Forecasting, Elsevier, vol. 28(2), pages 400-411.
    44. Frömmel, Michael & Han, Xing & Kratochvil, Stepan, 2014. "Modeling the daily electricity price volatility with realized measures," Energy Economics, Elsevier, vol. 44(C), pages 492-502.
    45. Luigi Grossi & Fany Nan, 2017. "Forecasting electricity prices through robust nonlinear models," Working Papers 06/2017, University of Verona, Department of Economics.
    46. Panagiotelis, Anastasios & Smith, Michael, 2008. "Bayesian density forecasting of intraday electricity prices using multivariate skew t distributions," International Journal of Forecasting, Elsevier, vol. 24(4), pages 710-727.
    47. Uritskaya, Olga Y. & Uritsky, Vadim M., 2015. "Predictability of price movements in deregulated electricity markets," Energy Economics, Elsevier, vol. 49(C), pages 72-81.
    48. Stuart Thomas & Vikash Ramiah & Heather Mitchell & Richard Heaney, 2011. "Seasonal factors and outlier effects in rate of return on electricity spot prices in Australia's National Electricity Market," Applied Economics, Taylor & Francis Journals, vol. 43(3), pages 355-369.
    49. Adam Clements & Joanne Fuller & Stan Hurn, 2013. "Semi-parametric Forecasting of Spikes in Electricity Prices," The Economic Record, The Economic Society of Australia, vol. 89(287), pages 508-521, December.
    50. Bruno Bosco & Lucia Parisio & Matteo Pelagatti & Fabio Baldi, 2010. "Long-run relations in european electricity prices," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(5), pages 805-832.
    51. Luigi Grossi & Fany Nan, 2018. "The influence of renewables on electricity price forecasting: a robust approach," Working Papers 2018/10, Institut d'Economia de Barcelona (IEB).
    52. Youssef, Manel & Belkacem, Lotfi & Mokni, Khaled, 2015. "Value-at-Risk estimation of energy commodities: A long-memory GARCH–EVT approach," Energy Economics, Elsevier, vol. 51(C), pages 99-110.
    53. Halkos, George E. & Tsirivis, Apostolos S., 2019. "Value-at-risk methodologies for effective energy portfolio risk management," Economic Analysis and Policy, Elsevier, vol. 62(C), pages 197-212.
    54. Hellström, Jörgen & Lundgren, Jens & Yu, Haishan, 2012. "Why do electricity prices jump? Empirical evidence from the Nordic electricity market," Energy Economics, Elsevier, vol. 34(6), pages 1774-1781.
    55. Bruno Bosco & Lucia Parisio & Matteo Pelagatti, 2007. "Deregulated Wholesale Electricity Prices in Italy: An Empirical Analysis," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 13(4), pages 415-432, November.
    56. Stéphane Goutte & David Guerreiro & Bilel Sanhaji & Sophie Saglio & Julien Chevallier, 2019. "International Financial Markets," Post-Print halshs-02183053, HAL.

  20. Byström, Hans, 2001. "Managing Extreme Risks in Tranquil and Volatile Markets Using Conditional Extreme Value Theory," Working Papers 2001:18, Lund University, Department of Economics.

    Cited by:

    1. Brännäs, Kurt & Quoreshi, Shahiduzzaman & Simonsen, Ola, 2002. "Extreme-Value Characteristics in Daily Time Series of Swedish Stock Returns," Umeå Economic Studies 597, Umeå University, Department of Economics.
    2. Samit Paul & Madhusudan Karmakar, 2017. "Relative Efficiency of Component GARCH-EVT Approach in Managing Intraday Market Risk," Multinational Finance Journal, Multinational Finance Journal, vol. 21(4), pages 247-283, December.
    3. Jimenez-Martin, Juan-Angel & McAleer, Michael & Pérez-Amaral, Teodosio & Santos, Paulo Araújo, 2013. "GFC-robust risk management under the Basel Accord using extreme value methodologies," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 94(C), pages 223-237.
    4. Szubzda Filip & Chlebus Marcin, 2019. "Comparison of Block Maxima and Peaks Over Threshold Value-at-Risk models for market risk in various economic conditions," Central European Economic Journal, Sciendo, vol. 6(53), pages 70-85, January.
    5. Pushpa Dissanayake & Teresa Flock & Johanna Meier & Philipp Sibbertsen, 2021. "Modelling Short- and Long-Term Dependencies of Clustered High-Threshold Exceedances in Significant Wave Heights," Mathematics, MDPI, vol. 9(21), pages 1-33, November.
    6. Marco Rocco, 2011. "Extreme value theory for finance: a survey," Questioni di Economia e Finanza (Occasional Papers) 99, Bank of Italy, Economic Research and International Relations Area.
    7. 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.
    8. Fong Chan, Kam & Gray, Philip, 2006. "Using extreme value theory to measure value-at-risk for daily electricity spot prices," International Journal of Forecasting, Elsevier, vol. 22(2), pages 283-300.
    9. Halkos, George & Tsirivis, Apostolos, 2019. "Using Value-at-Risk for effective energy portfolio risk management," MPRA Paper 91674, University Library of Munich, Germany.
    10. Lin, Chu-Hsiung & Changchien, Chang-Cheng & Kao, Tzu-Chuan & Kao, Wei-Shun, 2014. "High-order moments and extreme value approach for value-at-risk," Journal of Empirical Finance, Elsevier, vol. 29(C), pages 421-434.
    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. Hautsch, Nikolaus & Herrera, Rodrigo, 2015. "Multivariate dynamic intensity peaks-over-threshold models," CFS Working Paper Series 516, Center for Financial Studies (CFS).
    13. Antonio Díaz & Gonzalo García-Donato & Andrés Mora-Valencia, 2017. "Risk quantification in turmoil markets," Risk Management, Palgrave Macmillan, vol. 19(3), pages 202-224, August.
    14. Marimoutou, Velayoudoum & Raggad, Bechir & Trabelsi, Abdelwahed, 2009. "Extreme Value Theory and Value at Risk: Application to oil market," Energy Economics, Elsevier, vol. 31(4), pages 519-530, July.
    15. Manel Youssef & Lotfi Belkacem & Khaled Mokni, 2015. "Extreme Value Theory and long-memory-GARCH Framework: Application to Stock Market," International Journal of Economics and Empirical Research (IJEER), The Economics and Social Development Organization (TESDO), vol. 3(8), pages 371-388, August.
    16. Louzis, Dimitrios P. & Xanthopoulos-Sisinis, Spyros & Refenes, Apostolos P., 2011. "Are realized volatility models good candidates for alternative Value at Risk prediction strategies?," MPRA Paper 30364, University Library of Munich, Germany.
    17. Herrera, Rodrigo & Rodriguez, Alejandro & Pino, Gabriel, 2017. "Modeling and forecasting extreme commodity prices: A Markov-Switching based extreme value model," Energy Economics, Elsevier, vol. 63(C), pages 129-143.
    18. Louzis, Dimitrios P. & Xanthopoulos-Sisinis, Spyros & Refenes, Apostolos P., 2014. "Realized volatility models and alternative Value-at-Risk prediction strategies," Economic Modelling, Elsevier, vol. 40(C), pages 101-116.
    19. Youssef, Manel & Belkacem, Lotfi & Mokni, Khaled, 2015. "Value-at-Risk estimation of energy commodities: A long-memory GARCH–EVT approach," Energy Economics, Elsevier, vol. 51(C), pages 99-110.
    20. Halkos, George E. & Tsirivis, Apostolos S., 2019. "Value-at-risk methodologies for effective energy portfolio risk management," Economic Analysis and Policy, Elsevier, vol. 62(C), pages 197-212.
    21. Degiannakis, Stavros & Floros, Christos & Livada, Alexandra, 2012. "Evaluating Value-at-Risk Models before and after the Financial Crisis of 2008: International Evidence," MPRA Paper 80463, University Library of Munich, Germany.
    22. Bertrand B. Maillet & Jean-Philippe R. M�decin, 2010. "Extreme Volatilities, Financial Crises and L-moment Estimations of Tail-indexes," Working Papers 2010_10, Department of Economics, University of Venice "Ca' Foscari".
    23. Ian Laker & Chun-Kai Huang & Allan Ernest Clark, 2017. "Dependent bootstrapping for value-at-risk and expected shortfall," Risk Management, Palgrave Macmillan, vol. 19(4), pages 301-322, November.
    24. Ra l de Jes s-Guti rrez & Roberto J. Santill n-Salgado, 2019. "Conditional Extreme Values Theory and Tail-related Risk Measures: Evidence from Latin American Stock Markets," International Journal of Economics and Financial Issues, Econjournals, vol. 9(3), pages 127-141.
    25. 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.

  21. Byström, Hans, 2000. "Using Simulated Currency Rainbow Options to Evaluate Covariance Matrix Forecasts," Working Papers 2000:17, Lund University, Department of Economics.

    Cited by:

    1. Chong, James, 2005. "The forecasting abilities of implied and econometric variance-covariance models across financial measures," Journal of Economics and Business, Elsevier, vol. 57(5), pages 463-490.
    2. Majdoub, Jihed & Mansour, Walid, 2014. "Islamic equity market integration and volatility spillover between emerging and US stock markets," The North American Journal of Economics and Finance, Elsevier, vol. 29(C), pages 452-470.

Articles

  1. Byström, Hans, 2016. "Language, news and volatility," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 42(C), pages 139-154.
    See citations under working paper version above.
  2. Hans Byström, 2015. "Credit‐Implied Equity Volatility—Long‐Term Forecasts and Alternative Fear Gauges," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 35(8), pages 753-775, August.
    See citations under working paper version above.
  3. Byström, Hans, 2014. "The impact of currency movements on asset value correlations," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 31(C), pages 178-186.
    See citations under working paper version above.
  4. Hans Byström, 2011. "Does the Chinese stock market react to global news?," Journal of the Asia Pacific Economy, Taylor & Francis Journals, vol. 16(3), pages 448-455.

    Cited by:

    1. Shailesh Rastogi, 2013. "Long-term Association of Stock Markets of Different Nations: An Empirical Study," Vision, , vol. 17(4), pages 303-313, December.
    2. Imlak Shaikh & Puja Padhi, 2013. "RBI’s Monetary Policy and Macroeconomic Announcements: Impact on S&P CNX Nifty VIX," Transition Studies Review, Springer;Central Eastern European University Network (CEEUN), vol. 19(4), pages 445-460, March.
    3. Byström, Hans, 2016. "Language, news and volatility," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 42(C), pages 139-154.

  5. Hans Byström, 2009. "News aggregators, volatility and the stock market," Economics Bulletin, AccessEcon, vol. 29(4), pages 2673-2682.
    See citations under working paper version above.
  6. Byström, Hans N.E., 2008. "The Microfinance Collateralized Debt Obligation: A Modern Robin Hood?," World Development, Elsevier, vol. 36(11), pages 2109-2126, November.
    See citations under working paper version above.
  7. Hans Byström, 2008. "Credit risk management in Greater China," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 28(6), pages 582-597, June.

    Cited by:

    1. Atilgan, Yigit & Demirtas, K. Ozgur & Simsek, Koray D., 2016. "Derivative markets in emerging economies: A survey," International Review of Economics & Finance, Elsevier, vol. 42(C), pages 88-102.

  8. Bystrom, Hans & Kwon, Oh Kang, 2007. "A simple continuous measure of credit risk," International Review of Financial Analysis, Elsevier, vol. 16(5), pages 508-523.
    See citations under working paper version above.
  9. Hans N. E. Byström, 2007. "Back to the future: Futures margins in a future credit default swap index futures market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 27(1), pages 85-104, January.

    Cited by:

    1. Augustin, Patrick & Subrahmanyam, Marti G. & Tang, Dragon Yongjun & Wang, Sarah Qian, 2014. "Credit Default Swaps: A Survey," Foundations and Trends(R) in Finance, now publishers, vol. 9(1-2), pages 1-196, December.

  10. Hans Bystrom, 2006. "Using extreme value theory to estimate the likelihood of banking sector failure," The European Journal of Finance, Taylor & Francis Journals, vol. 12(4), pages 303-312.

    Cited by:

    1. 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.

  11. Bystrom, Hans N.E. & Olofsdotter, Karin & Soderstrom, Lars, 2005. "Is China an optimum currency area?," Journal of Asian Economics, Elsevier, vol. 16(4), pages 612-634, August.
    See citations under working paper version above.
  12. Bystrom, Hans N. E., 2005. "Extreme value theory and extremely large electricity price changes," International Review of Economics & Finance, Elsevier, vol. 14(1), pages 41-55.
    See citations under working paper version above.
  13. Bystrom, Hans & Worasinchai, Lugkana & Chongsithipol, Srisuda, 2005. "Default risk, systematic risk and Thai firms before, during and after the Asian crisis," Research in International Business and Finance, Elsevier, vol. 19(1), pages 95-110, March.
    See citations under working paper version above.
  14. Bystrom, Hans N. E., 2004. "Managing extreme risks in tranquil and volatile markets using conditional extreme value theory," International Review of Financial Analysis, Elsevier, vol. 13(2), pages 133-152.
    See citations under working paper version above.
  15. Hans Bystrom, 2004. "Orthogonal GARCH and covariance matrix forecasting: The Nordic stock markets during the Asian financial crisis 1997-1998," The European Journal of Finance, Taylor & Francis Journals, vol. 10(1), pages 44-67.

    Cited by:

    1. Lillie Lam & Laurence Fung & Ip-wing Yu, 2009. "Forecasting a Large Dimensional Covariance Matrix of a Portfolio of Different Asset Classes," Working Papers 0901, Hong Kong Monetary Authority.
    2. Alessandro Cardinali, 2012. "An Out-of-sample Analysis of Mean-Variance Portfolios with Orthogonal GARCH Factors," International Econometric Review (IER), Econometric Research Association, vol. 4(1), pages 1-16, April.
    3. Wolfgang Karl Härdle & Sergey Nasekin & David Lee Kuo Chuen & Phoon Kok Fai, 2014. "TEDAS - Tail Event Driven ASset Allocation," SFB 649 Discussion Papers SFB649DP2014-032, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    4. Chong, James, 2005. "The forecasting abilities of implied and econometric variance-covariance models across financial measures," Journal of Economics and Business, Elsevier, vol. 57(5), pages 463-490.
    5. Marcelo Scherer Perlin & Mauro Mastella & Daniel Francisco Vancin & Henrique Pinto Ramos, 2021. "A GARCH Tutorial with R," RAC - Revista de Administração Contemporânea (Journal of Contemporary Administration), ANPAD - Associação Nacional de Pós-Graduação e Pesquisa em Administração, vol. 25(1), pages 200088-2000.

  16. Bystrom, Hans N. E., 2004. "The market's view on the probability of banking sector failure: cross-country comparisons," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 14(5), pages 419-438, December.
    See citations under working paper version above.
  17. H. N. E. BystrOm, 2003. "The hedging performance of electricity futures on the Nordic power exchange," Applied Economics, Taylor & Francis Journals, vol. 35(1), pages 1-11.

    Cited by:

    1. Beatriz Martínez Martínez & Hipolit Torro Enguix, 2017. "Hedging spark spread risk with futures," Working Papers. Serie EC 2017-01, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    2. Alizadeh, Amir H. & Huang, Chih-Yueh & van Dellen, Stefan, 2015. "A regime switching approach for hedging tanker shipping freight rates," Energy Economics, Elsevier, vol. 49(C), pages 44-59.
    3. A Ciarreta and A Zarraga, 2015. "Analysis of mean and volatility price transmissions in the MIBEL and EPEX electricity spot markets," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    4. Martínez, Beatriz & Torró, Hipòlit, 2015. "European Natural Gas Seasonal Effects on Futures Hedging," Energy: Resources and Markets 198462, Fondazione Eni Enrico Mattei (FEEM).
    5. Mara Madaleno & Carlos Pinho, 2010. "Hedging Performance and Multiscale Relationships in the German Electricity Spot and Futures Markets," JRFM, MDPI, vol. 3(1), pages 1-37, December.
    6. Alexei Kolokolov, 2011. "Futures hedging: Multivariate GARCH with dynamic conditional correlations (in Russian)," Quantile, Quantile, issue 9, pages 61-75, July.
    7. Fu, Junhui, 2014. "Multi-objective hedging model with the third central moment and the capital budget," Economic Modelling, Elsevier, vol. 36(C), pages 213-219.
    8. Zanotti, Giovanna & Gabbi, Giampaolo & Geranio, Manuela, 2010. "Hedging with futures: Efficacy of GARCH correlation models to European electricity markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 20(2), pages 135-148, April.
    9. Bessler, Wolfgang & Wolff, Dominik, 2014. "Hedging European government bond portfolios during the recent sovereign debt crisis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 33(C), pages 379-399.
    10. Capitán Herráiz, Álvaro & Rodríguez Monroy, Carlos, 2009. "Analysis of the efficiency of the Iberian power futures market," Energy Policy, Elsevier, vol. 37(9), pages 3566-3579, September.
    11. Theodorou, Petros & Karyampas, Dimitrios, 2008. "Modeling the return and volatility of the Greek electricity marginal system price," Energy Policy, Elsevier, vol. 36(7), pages 2601-2609, July.
    12. John Hua Fan & Eduardo Roca & Alexandr Akimov, 2014. "Estimation and performance evaluation of optimal hedge ratios in the carbon market of the European Union Emissions Trading Scheme," Australian Journal of Management, Australian School of Business, vol. 39(1), pages 73-91, February.
    13. Hsiang-Tai Lee & Jonathan Yoder, 2005. "A Bivariate Markov Regime Switching GARCH Approach to Estimate Time Varying Minimum Variance Hedge Ratios," Econometrics 0506009, University Library of Munich, Germany.
    14. Jean-Daniel Saphores & Éric Gravel & Jean-Thomas Bernard, 2003. "Environmental Impact Assessment and Investment under Uncertainty: An Application to Power Grid Interconnection," CIRANO Working Papers 2003s-29, CIRANO.
    15. Ciarreta Antuñano, Aitor & Zárraga Alonso, Ainhoa, 2012. "Analysis of volatility transmissions in integrated and interconnected markets: The case of the Iberian and French markets," BILTOKI 1134-8984, Universidad del País Vasco - Departamento de Economía Aplicada III (Econometría y Estadística).
    16. Chang, Chiao-Yi & Lai, Jing-Yi & Chuang, I-Yuan, 2010. "Futures hedging effectiveness under the segmentation of bear/bull energy markets," Energy Economics, Elsevier, vol. 32(2), pages 442-449, March.
    17. Abdulnasser Hatemi-J & Eduardo Roca, 2006. "Calculating the optimal hedge ratio: constant, time varying and the Kalman Filter approach," Applied Economics Letters, Taylor & Francis Journals, vol. 13(5), pages 293-299.
    18. Dungey, Mardi & Henry, Olan T & Hvodzdyk, Lyudmyla, 2013. "The impact of jumps and thin trading on realized hedge ratios," Working Papers 2013-02, University of Tasmania, Tasmanian School of Business and Economics, revised 28 Mar 2013.
    19. Liu, Xiaochun & Jacobsen, Brian, 2011. "The Dynamic International Optimal Hedge Ratio," MPRA Paper 35260, University Library of Munich, Germany.
    20. Malo, Pekka, 2009. "Modeling electricity spot and futures price dependence: A multifrequency approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(22), pages 4763-4779.
    21. Bessler, Wolfgang & Leonhardt, Alexander & Wolff, Dominik, 2016. "Analyzing hedging strategies for fixed income portfolios: A Bayesian approach for model selection," International Review of Financial Analysis, Elsevier, vol. 46(C), pages 239-256.
    22. Ángel León & Antonio Rubia, 2002. "Forecasting Time-Varying Covariance Matrices In Intradaily Electricity Spot Prices," Working Papers. Serie AD 2002-10, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    23. Hung, Jui-Cheng & Yi-Hsien Wang, & Chang, Matthew C. & Shih, Kuang-Hsun & Hsiu-Hsueh Kao,, 2011. "Minimum variance hedging with bivariate regime-switching model for WTI crude oil," Energy, Elsevier, vol. 36(5), pages 3050-3057.
    24. Charalampous, Georgios & Madlener, Reinhard, 2013. "Risk Management and Portfolio Optimization for Gas- and Coal-fired Power Plants in Germany: A Multivariate GARCH Approach," FCN Working Papers 23/2013, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    25. Peña, Juan Ignacio, 2023. "The hedging effectiveness of electricity futures in the Spanish market," Finance Research Letters, Elsevier, vol. 53(C).
    26. Habibeh Sherafatmand & Saeed Yazdani, 2014. "The management of price risk in Iranian dates: An application of futures instruments," Cogent Economics & Finance, Taylor & Francis Journals, vol. 2(1), pages 1-12, December.
    27. Per B. Solibakke, 2022. "Step‐ahead spot price densities using daily synchronously reported prices and wind forecasts," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(1), pages 17-42, January.
    28. Torro, Hipolit, 2009. "Assessing the influence of spot price predictability on electricity futures hedging," MPRA Paper 18892, University Library of Munich, Germany.
    29. Ama Agyeiwaa Abrokwah, 2018. "Price and Volatility Spillovers in the Electricity Reliability Council of Texas Day-Ahead Electricity Market," International Journal of Energy Economics and Policy, Econjournals, vol. 8(6), pages 322-330.
    30. Frestad, Dennis, 2012. "Liquidity and dirty hedging in the Nordic electricity market," Energy Economics, Elsevier, vol. 34(5), pages 1341-1355.
    31. Lee, Hsiang-Tai, 2009. "Optimal futures hedging under jump switching dynamics," Journal of Empirical Finance, Elsevier, vol. 16(3), pages 446-456, June.
    32. Wen-Chung Hsu & Hsiang-Tai Lee, 2018. "Cross Hedging Stock Sector Risk with Index Futures by Considering the Global Equity Systematic Risk," IJFS, MDPI, vol. 6(2), pages 1-17, April.
    33. Debbie Dupuis, Geneviève Gauthier, and Fréderic Godin, 2016. "Short-term Hedging for an Electricity Retailer," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).

  18. Bystrom, Hans N. E., 2002. "Using simulated currency rainbow options to evaluate covariance matrix forecasts," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 12(3), pages 216-230, July.
    See citations under working paper version above.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.