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Hans Byström
(Hans Bystroem)

Personal Details

First Name:Hans
Middle Name:
Last Name:Bystroem
Suffix:
RePEc Short-ID:pby2
[This author has chosen not to make the email address public]
http://hansbystrom.weebly.com/
Terminal Degree:2000 Nationalekonomiska Institutionen; Ekonomihögskolan; Lunds Universitet (from RePEc Genealogy)

Affiliation

Nationalekonomiska Institutionen
Ekonomihögskolan
Lunds Universitet

Lund, Sweden
http://www.nek.lu.se/
RePEc:edi:delunse (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Byström, Hans, 2021. "Credit Risk in a Pandemic," Working Papers 2021:1, Lund University, Department of Economics.
  2. Byström, Hans, 2020. "Happiness and Gold Prices," Working Papers 2020:1, Lund University, Department of Economics.
  3. Byström, Hans, 2019. "Internet Searches, Household Sentiment and Credit Spreads," Working Papers 2019:15, Lund University, Department of Economics.
  4. Byström, Hans & Krygier, Dominika, 2018. "What Drives Bitcoin Volatility?," Working Papers 2018:24, Lund University, Department of Economics.
  5. Byström, Hans, 2016. "Stock Return Expectations in the Credit Market," Working Papers 2016:26, Lund University, Department of Economics.
  6. Byström, Hans, 2016. "Blockchains, Real-Time Accounting and the Future of Credit Risk Modeling," Working Papers 2016:4, Lund University, Department of Economics.
  7. 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.
  8. Byström, Hans, 2015. "Credit-Implied Forward Volatility and Volatility Expectations," Working Papers 2015:34, Lund University, Department of Economics.
  9. Byström, Hans, 2014. "Language, News and Volatility," Working Papers 2014:41, Lund University, Department of Economics.
  10. Byström, Hans, 2014. "Credit-Implied Equity Volatility – Long-Term Forecasts and Alternative Fear Gauges," Working Papers 2014:34, Lund University, Department of Economics.
  11. Byström, Hans, 2013. "The Impact of Currency Movements on Asset Value Correlations," Working Papers 2013:33, Lund University, Department of Economics.
  12. 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.
  13. Byström, Hans, 2010. "Executive Compensation Based on Asset Values," Working Papers 2010:9, Lund University, Department of Economics.
  14. Byström, Hans, 2009. "News Aggregators, Volatility and the Stock Market," Working Papers 2009:11, Lund University, Department of Economics.
  15. Byström, Hans, 2008. "The Age of Turbulence - Credit Derivatives Style," Working Papers 2008:16, Lund University, Department of Economics, revised 16 Jun 2010.
  16. Byström, Hans, 2007. "Structured Microfinance in China," Working Papers 2007:18, Lund University, Department of Economics.
  17. 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.
  18. Byström , Hans & Kwon, Oh Kang, 2005. "Default Probabilities According to the Bond Market," Working Papers 2005:7, Lund University, Department of Economics.
  19. 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.
  20. Byström, Hans, 2005. "Using Credit Derivatives to Compute Market-Wide Default Probability Term Structures," Working Papers 2005:44, Lund University, Department of Economics.
  21. Byström, Hans & Olofsdotter , Karin & Söderström, Lars, 2005. "Is China an Optimum Currency Area?," Working Papers 2005:6, Lund University, Department of Economics.
  22. 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.
  23. 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.
  24. 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.
  25. 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.
  26. 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.
  27. Byström, Hans, 2001. "Extreme Value Theory and Extremely Large Electricity Price Changes," Working Papers 2001:19, Lund University, Department of Economics.
  28. 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.
  29. Byström, Hans, 2000. "Using Simulated Currency Rainbow Options to Evaluate Covariance Matrix Forecasts," Working Papers 2000:17, Lund University, Department of Economics.
  30. Byström , Hans, 2000. "Stochastic Volatility and Pricing Bias in the Swedish OMX-Index Call Option Market," Working Papers 2000:16, Lund University, Department of Economics.
  31. Byström , Hans, 2000. "The Hedging Performance of Electricity Futures on the Nordic Power Exchange Nord Pool," Working Papers 2000:15, Lund University, Department of Economics.
  32. Byström, Hans, 2000. "Orthogonal GARCH and Covariance Matrix Forecasting in a Stress Scenario: The Nordic Stock Markets During the Asian Financial Crisis 1997-1998," Working Papers 2000:14, Lund University, Department of Economics.
  33. Amilon , Henrik & Byström , Hans, 2000. "The Compass Rose Pattern of the Stock Market: How Does it Affect Parameter Estimates, Forecasts, and Statistical Tests?," Working Papers 2000:18, Lund University, Department of Economics.
  34. Amilon, Henrik & Byström, Hans, 1998. "The Search for Chaos and Nonlinearities in Swedish Stock Index Returns," Working Papers 1998:6, Lund University, Department of Economics.

Articles

  1. Byström, Hans, 2020. "Happiness and Gold Prices," Finance Research Letters, Elsevier, vol. 35(C).
  2. Byström, Hans, 2018. "Stock return expectations in the credit market," International Review of Financial Analysis, Elsevier, vol. 56(C), pages 85-92.
  3. Byström, Hans, 2017. "The currency composition of firms' balance sheets, asset value correlations, and capital requirements," Global Finance Journal, Elsevier, vol. 34(C), pages 89-99.
  4. Byström, Hans, 2016. "Language, news and volatility," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 42(C), pages 139-154.
  5. Byström, Hans, 2016. "Credit-implied forward volatility and volatility expectations," Finance Research Letters, Elsevier, vol. 16(C), pages 132-138.
  6. 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.
  7. 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.
  8. Hans Bystrom, 2012. "Executive compensation based on asset values," Economics Bulletin, AccessEcon, vol. 32(2), pages 1504-1508.
  9. 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.
  10. Hans Bystrom, 2011. "An index to evaluate fund and fund manager performance," Applied Economics Letters, Taylor & Francis Journals, vol. 18(14), pages 1311-1314.
  11. Hans Byström, 2009. "News aggregators, volatility and the stock market," Economics Bulletin, AccessEcon, vol. 29(4), pages 2673-2682.
  12. Byström, Hans N.E., 2008. "The Microfinance Collateralized Debt Obligation: A Modern Robin Hood?," World Development, Elsevier, vol. 36(11), pages 2109-2126, November.
  13. Hans Byström, 2008. "Credit risk management in Greater China," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 28(6), pages 582-597, June.
  14. 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.
  15. 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.
  16. 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.
  17. 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.
  18. 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.
  19. 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.
  20. 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.
  21. 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.
  22. 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.
  23. 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.
  24. 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.

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

    Cited by:

    1. 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.
    2. 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. 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.

  3. 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. 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.
    2. Byström, Hans, 2015. "Credit-Implied Forward Volatility and Volatility Expectations," Working Papers 2015:34, Lund University, Department of Economics.

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

    Cited by:

    1. Byström, Hans, 2016. "Language, news and volatility," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 42(C), pages 139-154.

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

    Cited by:

    1. Moulin, Bertrand, 2011. "Microfinance investment vehicles in Sub-Saharan Africa: constraints and potentials," MPRA Paper 32967, University Library of Munich, Germany.
    2. 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.

  6. 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. Byström, Hans, 2007. "Structured Microfinance in China," Working Papers 2007:18, Lund University, Department of Economics.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.

  7. 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. Abbassi, Puriya & Linzert, Tobias, 2012. "The effectiveness of monetary policy in steering money market rates during the financial crisis," Discussion Papers 14/2012, Deutsche Bundesbank.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. Giovanni Calice & Christos Ioannidis & Julian Williams, 2011. "Credit Derivatives and the Default Risk of Large Complex Financial Institutions," CESifo Working Paper Series 3583, CESifo.
    7. 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.
    8. 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.
    9. 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.
    10. 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.

  8. 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.

  9. 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. 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.
    4. 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.

  10. 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. 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.
    2. 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].
    3. Suzan Hol, 2006. "The influence of the business cycle on bankruptcy probability," Discussion Papers 466, Statistics Norway, Research Department.
    4. 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.
    5. 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).
    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. 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.
    8. 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.
    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. 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.

  11. 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-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.
    2. Carl Chiarella & Erik Schlögl & Christina Nikitopoulos-Sklibosios, 2004. "A Markovian Defaultable Term Structure Model with State Dependent Volatilities," Research Paper Series 135, Quantitative Finance Research Centre, University of Technology, Sydney.
    3. 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, March.
    4. 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.
    5. 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.
    6. 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.
    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).

  12. 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.

  13. 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. & 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.
    2. Rodrigo Alfaro A. & Rodrigo Cifuentes S., 2009. "Financial Stability, Monetary Policy and Central Banking: An Overview," Working Papers Central Bank of Chile 554, Central Bank of Chile.
    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. 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.
    5. 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.

  14. 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. 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.
    2. Peltonen, Tuomas A. & Sarlin, Peter, 2011. "Mapping the state of financial stability," Working Paper Series 1382, European Central Bank.
    3. Carlos Bautista & Philippe Rous & Amine Tarazi, 2008. "The Determinants of Domestic and Cross Border Bank Contagion Risk in Southeast Asia," Revue économique, Presses de Sciences-Po, vol. 59(6), pages 1215-1242.
    4. 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.
    5. 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.
    6. Sarlin, Peter & Peltonen, Tuomas A., 2011. "Mapping the state of financial stability," BOFIT Discussion Papers 18/2011, Bank of Finland, Institute for Economies in Transition.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.

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

    Cited by:

    1. 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.
    2. Paraschiv, Florentina, 2013. "Price Dynamics in Electricity Markets," Working Papers on Finance 1314, University of St. Gallen, School of Finance.
    3. 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.
    4. Marius Ooms & M. Angeles Carnero & Siem Jan Koopman, 2004. "Periodic Heteroskedastic RegARFIMA models for daily electricity spot prices," Econometric Society 2004 Australasian Meetings 158, Econometric Society.
    5. 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.
    6. 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.
    7. Yannick LE PEN & Benoît SEVI, 2008. "Volatility transmission and volatility impulse response functions in European electricity forward markets," Cahiers du CREDEN (CREDEN Working Papers) 08.09.77, CREDEN (Centre de Recherche en Economie et Droit de l'Energie), Faculty of Economics, University of Montpellier 1.
    8. 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.
    9. 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.
    10. 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).
    11. 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.
    12. 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.
    13. 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.
    14. Montero, José M. & García-Centeno, Maria C. & Fernández-Avilés, Gema, 2011. "Modelling the Volatility of the Spanish Wholesale Electricity Spot Market. Asymmetric GARCH Models vs. Threshold ARSV model/Modelización de la volatilidad en el mercado eléctrico español. Modelos GARC," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 29, pages 597-616, Agosto.
    15. Bruno Bosco & Lucia Parisio & Matteo Pelagatti & Fabio Baldi, 2006. "Deregulated Wholesale Electricity Prices in Europe," Working Papers 20061001, Università degli Studi di Milano-Bicocca, Dipartimento di Statistica.
    16. 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.
    17. 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.
    18. Olga Y. Uritskaya & Vadim M. Uritsky, 2015. "Predictability of price movements in deregulated electricity markets," Papers 1505.08117, arXiv.org.
    19. 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.
    20. 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.
    21. 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.
    22. A.S. Hurn & Annastiina Silvennoinen & Timo Teräsvirta, 2014. "A Smooth Transition Logit Model of the Effects of Deregulation in the Electricity Market," CREATES Research Papers 2014-09, Department of Economics and Business Economics, Aarhus University.
    23. 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.
    24. 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.
    25. 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.
    26. 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.
    27. 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.
    28. Sophie Chemarin & Andreas Heinen & Eric Strobl, 2008. "Electricity, carbon and weather in France: where do we stand ?," Working Papers hal-00340171, HAL.
    29. 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.
    30. 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.
    31. Matteo Pelagatti & Bruno Bosco & Lucia Parisio & Fabio Baldi, 2007. "A Robust Multivariate Long Run Analysis of European Electricity Prices," Working Papers 2007.103, Fondazione Eni Enrico Mattei.
    32. Rafal Weron, 2006. "Modeling and Forecasting Electricity Loads and Prices: A Statistical Approach," HSC Books, Hugo Steinhaus Center, Wroclaw University of Technology, number hsbook0601, December.
    33. Luigi Grossi & Fany Nan, 2017. "Forecasting electricity prices through robust nonlinear models," Working Papers 06/2017, University of Verona, Department of Economics.
    34. 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.
    35. 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.
    36. 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.
    37. 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.
    38. Uritskaya, Olga Y. & Uritsky, Vadim M., 2015. "Predictability of price movements in deregulated electricity markets," Energy Economics, Elsevier, vol. 49(C), pages 72-81.
    39. 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.
    40. 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.
    41. Lundgren, Jens & Hellström, Jörgen & Rudholm, Niklas, 2008. "Multinational Electricity Market Integration and Electricity Price Dynamics," HUI Working Papers 16, HUI Research.
    42. 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.
    43. 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.
    44. 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.
    45. 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.
    46. 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.
    47. Rubin, Ofir David, 2010. "Equilibrium pricing in electricity markets with wind power," ISU General Staff Papers 201001010800002361, Iowa State University, Department of Economics.
    48. 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.
    49. 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.
    50. Stéphane Goutte & David Guerreiro & Bilel Sanhaji & Sophie Saglio & Julien Chevallier, 2019. "International Financial Markets," Post-Print halshs-02183053, HAL.

  16. 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. 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.
    2. Dissanayake, Pushpa & Flock, Teresa & Meier, Johanna & Sibbertsen, Philipp, 2021. "Modelling Short- and Long-Term Dependencies of Clustered High-Threshold Exceedances in Significant Wave Heights," Hannover Economic Papers (HEP) dp-690, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    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. 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.
    10. 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.
    11. 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.
    12. 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".
    13. Raúl de Jesús-Gutiérrez & Roberto J. Santillán-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.
    14. 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.

  17. 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. 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.
    2. 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.

Articles

  1. 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.
  2. 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. 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.
  4. 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.
  5. 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.

  6. 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.
  7. 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.

  8. 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.

  9. 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.
  10. 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.
  11. 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.
  12. 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.
  13. 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.

  14. 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.
  15. 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. 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.
    3. 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.
    4. 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.
    5. 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).
    6. Martínez, Beatriz & Torró, Hipòlit, 2015. "European Natural Gas Seasonal Effects on Futures Hedging," Energy: Resources and Markets 198462, Fondazione Eni Enrico Mattei (FEEM).
    7. 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).
    8. Saphores, Jean-Daniel & Gravel, Éric & Bernard, Jean-Thomas, 2003. "Environmental Impact Assessment and Investment under Uncertainty. An Application to Power Grid Interconnection," Cahiers de recherche 0303, GREEN.
    9. 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.
    10. Alexei Kolokolov, 2011. "Futures hedging: Multivariate GARCH with dynamic conditional correlations (in Russian)," Quantile, Quantile, issue 9, pages 61-75, July.
    11. 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.
    12. 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.
    13. 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.
    14. Torro, Hipolit, 2009. "Assessing the influence of spot price predictability on electricity futures hedging," MPRA Paper 18892, University Library of Munich, Germany.
    15. 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.
    16. Liu, Xiaochun & Jacobsen, Brian, 2011. "The Dynamic International Optimal Hedge Ratio," MPRA Paper 35260, University Library of Munich, Germany.
    17. Frestad, Dennis, 2012. "Liquidity and dirty hedging in the Nordic electricity market," Energy Economics, Elsevier, vol. 34(5), pages 1341-1355.
    18. 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 Biltoki;2012-04, Universidad del País Vasco - Departamento de Economía Aplicada III (Econometría y Estadística).
    19. 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.
    20. Lee, Hsiang-Tai, 2009. "Optimal futures hedging under jump switching dynamics," Journal of Empirical Finance, Elsevier, vol. 16(3), pages 446-456, June.
    21. 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).
    22. 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).
    23. 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.

  16. 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.

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NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 31 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-FMK: Financial Markets (19) 2000-11-14 2000-11-14 2000-11-14 2000-11-14 2000-11-14 2001-04-11 2001-10-22 2003-03-19 2003-03-19 2003-11-09 2005-02-01 2005-03-20 2005-12-01 2006-07-02 2009-08-30 2013-09-28 2014-11-12 2016-10-16 2021-01-18. Author is listed
  2. NEP-RMG: Risk Management (10) 2003-03-19 2003-03-19 2003-11-09 2005-12-01 2006-07-02 2008-12-07 2013-09-28 2016-03-29 2020-03-02 2021-01-18. Author is listed
  3. NEP-CFN: Corporate Finance (6) 2003-03-19 2003-11-09 2005-02-01 2010-08-21 2016-02-17 2021-01-18. Author is listed
  4. NEP-BAN: Banking (4) 2010-08-21 2016-02-17 2016-03-29 2021-01-18
  5. NEP-ECM: Econometrics (3) 2000-11-14 2001-10-22 2001-10-22
  6. NEP-SEA: South East Asia (3) 2004-06-02 2005-02-01 2005-02-01
  7. NEP-TRA: Transition Economics (3) 2005-02-01 2007-12-08 2015-01-03
  8. NEP-CNA: China (2) 2007-12-08 2015-01-03
  9. NEP-DEV: Development (2) 2006-07-02 2007-12-08
  10. NEP-EEC: European Economics (2) 2003-03-19 2005-12-01
  11. NEP-IAS: Insurance Economics (2) 2001-10-22 2001-10-22
  12. NEP-MFD: Microfinance (2) 2006-07-02 2007-12-08
  13. NEP-BEC: Business Economics (1) 2010-08-21
  14. NEP-CWA: Central & Western Asia (1) 2021-01-18
  15. NEP-ENE: Energy Economics (1) 2000-11-20
  16. NEP-ENT: Entrepreneurship (1) 2006-07-02
  17. NEP-ETS: Econometric Time Series (1) 2001-04-11
  18. NEP-FOR: Forecasting (1) 2014-11-12
  19. NEP-HAP: Economics of Happiness (1) 2020-03-02
  20. NEP-ICT: Information & Communication Technologies (1) 2018-10-15
  21. NEP-IFN: International Finance (1) 2004-06-02
  22. NEP-LAB: Labour Economics (1) 2010-08-21
  23. NEP-MIC: Microeconomics (1) 2001-10-22
  24. NEP-MON: Monetary Economics (1) 2005-02-01
  25. NEP-PAY: Payment Systems & Financial Technology (1) 2018-10-15
  26. NEP-URE: Urban & Real Estate Economics (1) 2008-12-07

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IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.