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Modeling the joint dynamic value at risk of the volatility index, oil price, and exchange rate

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  • Peng, Wei
  • Hu, Shichao
  • Chen, Wang
  • Zeng, Yu-feng
  • Yang, Lu

Abstract

In this study, we investigate how the volatility index (VIX) and oil price influence the foreign exchange rate based on a conditional autoregressive value at risk model. We find that the oil price affects the value at risk (VaR) of exchange rates of oil-importing and oil-exporting countries differently. Further, the VIX as a volatility measure can only influence the tail risk of these currencies when the US financial market fluctuates significantly. In addition, we find that there is a significant increase in the volatility of the VaR of these currencies after the financial crisis. Our empirical results would provide useful information for investors.

Suggested Citation

  • Peng, Wei & Hu, Shichao & Chen, Wang & Zeng, Yu-feng & Yang, Lu, 2019. "Modeling the joint dynamic value at risk of the volatility index, oil price, and exchange rate," International Review of Economics & Finance, Elsevier, vol. 59(C), pages 137-149.
    • Handle: RePEc:eee:reveco:v:59:y:2019:i:c:p:137-149
    DOI: 10.1016/j.iref.2018.08.014
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    1. James W. Taylor, 2008. "Using Exponentially Weighted Quantile Regression to Estimate Value at Risk and Expected Shortfall," Journal of Financial Econometrics, Oxford University Press, vol. 6(3), pages 382-406, Summer.
    2. Ding, Liang & Vo, Minh, 2012. "Exchange rates and oil prices: A multivariate stochastic volatility analysis," The Quarterly Review of Economics and Finance, Elsevier, vol. 52(1), pages 15-37.
    3. Della Corte, Pasquale & Ramadorai, Tarun & Sarno, Lucio, 2016. "Volatility risk premia and exchange rate predictability," Journal of Financial Economics, Elsevier, vol. 120(1), pages 21-40.
    4. Keith Kuester & Stefan Mittnik & Marc S. Paolella, 2006. "Value-at-Risk Prediction: A Comparison of Alternative Strategies," Journal of Financial Econometrics, Oxford University Press, vol. 4(1), pages 53-89.
    5. Jooyoung Jeon & James W. Taylor, 2013. "Using CAViaR Models with Implied Volatility for Value‐at‐Risk Estimation," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 32(1), pages 62-74, January.
    6. Xavier Gabaix & Matteo Maggiori, 2015. "International Liquidity and Exchange Rate Dynamics," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 130(3), pages 1369-1420.
    7. Annina Kaltenbrunner, 2015. "Financial integration and exchange rate determination: a Brazilian case study," International Review of Applied Economics, Taylor & Francis Journals, vol. 29(2), pages 129-149, March.
    8. Brahmasrene, Tantatape & Huang, Jui-Chi & Sissoko, Yaya, 2014. "Crude oil prices and exchange rates: Causality, variance decomposition and impulse response," Energy Economics, Elsevier, vol. 44(C), pages 407-412.
    9. Abhay Abhyankar, Bing Xu, and Jiayue Wang, 2013. "Oil Price Shocks and the Stock Market: Evidence from Japan," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
    10. Huang, Dashan & Yu, Baimin & Fabozzi, Frank J. & Fukushima, Masao, 2009. "CAViaR-based forecast for oil price risk," Energy Economics, Elsevier, vol. 31(4), pages 511-518, July.
    11. Philip Yu & Wai Keung Li & Shusong Jin, 2010. "On Some Models for Value-At-Risk," Econometric Reviews, Taylor & Francis Journals, vol. 29(5-6), pages 622-641.
    12. Liu, Ming-Hua & Margaritis, Dimitris & Tourani-Rad, Alireza, 2012. "Risk appetite, carry trade and exchange rates," Global Finance Journal, Elsevier, vol. 23(1), pages 48-63.
    13. Rubén Albeiro Loaiza Maya & Jose Eduardo Gomez-Gonzalez & Luis Fernando Melo Velandia, 2015. "Latin American Exchange Rate Dependencies: A Regular Vine Copula Approach," Contemporary Economic Policy, Western Economic Association International, vol. 33(3), pages 535-549, July.
    14. Engle, Robert F & Manganelli, Simone, 1999. "CAViaR: Conditional Autoregressive Value at Risk by Regression Quantiles," University of California at San Diego, Economics Working Paper Series qt06m3d6nv, Department of Economics, UC San Diego.
    15. Bernal, Oscar & Gnabo, Jean-Yves & Guilmin, Grégory, 2014. "Assessing the contribution of banks, insurance and other financial services to systemic risk," Journal of Banking & Finance, Elsevier, vol. 47(C), pages 270-287.
    16. Wang, Yudong & Wu, Chongfeng & Yang, Li, 2013. "Oil price shocks and stock market activities: Evidence from oil-importing and oil-exporting countries," Journal of Comparative Economics, Elsevier, vol. 41(4), pages 1220-1239.
    17. Robert F. Engle & Simone Manganelli, 2004. "CAViaR: Conditional Autoregressive Value at Risk by Regression Quantiles," Journal of Business & Economic Statistics, American Statistical Association, vol. 22, pages 367-381, October.
    18. Luca Antonio Ricci & Gian Maria Milesi‐Ferretti & Jaewoo Lee, 2013. "Real Exchange Rates and Fundamentals: A Cross‐Country Perspective," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 45(5), pages 845-865, August.
    19. Aloui, Riadh & Ben Aïssa, Mohamed Safouane & Nguyen, Duc Khuong, 2013. "Conditional dependence structure between oil prices and exchange rates: A copula-GARCH approach," Journal of International Money and Finance, Elsevier, vol. 32(C), pages 719-738.
    20. Shakill Hassan & Félix Simione, 2013. "Exchange Rate Determination Under Monetary Policy Rules In A Financially Underdeveloped Economy: A Simple Model And Application To Mozambique," Journal of International Development, John Wiley & Sons, Ltd., vol. 25(4), pages 502-519, May.
    21. Alsakka, Rasha & ap Gwilym, Owain, 2012. "Foreign exchange market reactions to sovereign credit news," Journal of International Money and Finance, Elsevier, vol. 31(4), pages 845-864.
    22. Chen, Cathy W.S. & Gerlach, Richard & Hwang, Bruce B.K. & McAleer, Michael, 2012. "Forecasting Value-at-Risk using nonlinear regression quantiles and the intra-day range," International Journal of Forecasting, Elsevier, vol. 28(3), pages 557-574.
    23. André Mollick & Tibebe Assefa, 2013. "Carry-trades on the yen and the Swiss franc: are they different?," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 37(3), pages 402-423, July.
    24. Lu Yang & Shigeyuki Hamori, 2014. "Gold prices and exchange rates: a time-varying copula analysis," Applied Financial Economics, Taylor & Francis Journals, vol. 24(1), pages 41-50, January.
    25. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    26. 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.
    27. James W. Taylor, 2005. "Generating Volatility Forecasts from Value at Risk Estimates," Management Science, INFORMS, vol. 51(5), pages 712-725, May.
    28. Su, Jung-Bin, 2015. "Value-at-risk estimates of the stock indices in developed and emerging markets including the spillover effects of currency market," Economic Modelling, Elsevier, vol. 46(C), pages 204-224.
    29. Mr. Peter Isard, 2007. "Equilibrium Exchange Rates: Assessment Methodologies," IMF Working Papers 2007/296, International Monetary Fund.
    30. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    31. Narayan, Paresh Kumar & Narayan, Seema & Prasad, Arti, 2008. "Understanding the oil price-exchange rate nexus for the Fiji islands," Energy Economics, Elsevier, vol. 30(5), pages 2686-2696, September.
    32. D. E. Allen & A. K. Singh & R. Powell, 2012. "A Gourmet's delight: CAViaR and the Australian stock market," Applied Economics Letters, Taylor & Francis Journals, vol. 19(15), pages 1493-1498, October.
    33. Anderson, John & Sutherland, Dylan, 2015. "Entry mode and emerging market MNEs: An analysis of Chinese greenfield and acquisition FDI in the United States," Research in International Business and Finance, Elsevier, vol. 35(C), pages 88-103.
    34. Wong, Hock Tsen, 2017. "Real exchange rate returns and real stock price returns," International Review of Economics & Finance, Elsevier, vol. 49(C), pages 340-352.
    35. Wu, Chih-Chiang & Chung, Huimin & Chang, Yu-Hsien, 2012. "The economic value of co-movement between oil price and exchange rate using copula-based GARCH models," Energy Economics, Elsevier, vol. 34(1), pages 270-282.
    36. Philip K Verleger, 2011. "The Margin, Currency, and the Price of Oil," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 46(2), pages 71-82, April.
    37. Shih-Jui Yang & Ai-Chi Hsu & Show-Yen Lai & Chien-Chiang Lee, 2015. "Empirical Investigation of Herding Behavior in East Asian Stock Markets Toward the U.S. Market," The International Journal of Business and Finance Research, The Institute for Business and Finance Research, vol. 9(1), pages 19-32.
    38. Osvaldo C. Silva Filho & Flavio A. Ziegelmann & Michael J. Dueker, 2014. "Assessing dependence between financial market indexes using conditional time-varying copulas: applications to Value at Risk (VaR)," Quantitative Finance, Taylor & Francis Journals, vol. 14(12), pages 2155-2170, December.
    39. Joseph, Nathan Lael & Lambertides, Neophytos & Savva, Christos S., 2015. "Short-horizon excess returns and exchange rate and interest rate effects," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 37(C), pages 54-76.
    40. Drakos, Anastassios A. & Kouretas, Georgios P., 2015. "Bank ownership, financial segments and the measurement of systemic risk: An application of CoVaR," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 127-140.
    41. James W. Taylor, 2008. "Estimating Value at Risk and Expected Shortfall Using Expectiles," Journal of Financial Econometrics, Oxford University Press, vol. 6(2), pages 231-252, Spring.
    42. Ahmed, Jameel & Straetmans, Stefan, 2015. "Predicting exchange rate cycles utilizing risk factors," Journal of Empirical Finance, Elsevier, vol. 34(C), pages 112-130.
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    4. Seyed Mohammad Sina Seyfi & Azin Sharifi & Hamidreza Arian, 2020. "Portfolio Risk Measurement Using a Mixture Simulation Approach," Papers 2011.07994, arXiv.org.
    5. Hong Eun Moon & Si Won Choi & Yoon Hee Ha, 2024. "Prioritizing factors for the sustainable growth of Vietnam's solar photovoltaic power market," Energy & Environment, , vol. 35(4), pages 2151-2177, June.
    6. Maud Korley & Evangelos Giouvris, 2022. "The Impact of Oil Price and Oil Volatility Index (OVX) on the Exchange Rate in Sub-Saharan Africa: Evidence from Oil Importing/Exporting Countries," Economies, MDPI, vol. 10(11), pages 1-29, November.
    7. Seyfi, Seyed Mohammad Sina & Sharifi, Azin & Arian, Hamidreza, 2021. "Portfolio Value-at-Risk and expected-shortfall using an efficient simulation approach based on Gaussian Mixture Model," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 190(C), pages 1056-1079.
    8. Lu Yang & Shigeyuki Hamori, 2020. "Forecasts of Value-at-Risk and Expected Shortfall in the Crude Oil Market: A Wavelet-Based Semiparametric Approach," Energies, MDPI, vol. 13(14), pages 1-27, July.
    9. Yang, Lu & Cui, Xue & Yang, Lei & Hamori, Shigeyuki & Cai, Xiaojing, 2023. "Risk spillover from international financial markets and China's macro-economy: A MIDAS-CoVaR-QR model," International Review of Economics & Finance, Elsevier, vol. 84(C), pages 55-69.
    10. Konstantinos N. Konstantakis & Ioannis G. Melissaropoulos & Theodoros Daglis & Panayotis G. Michaelides, 2023. "The euro to dollar exchange rate in the Covid‐19 era: Evidence from spectral causality and Markov‐switching estimation," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(2), pages 2037-2055, April.

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    More about this item

    Keywords

    Conditional autoregressive value at risk; Value at risk; Volatility index; Oil price; Exchange rate;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)

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