Assessing Market Risk During Financial Crises - An Applicable Method Of Using Value At Risk And Expected Shortfall In Investments
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Lu, Xinjie & Ma, Feng & Wang, Jiqian & Zhu, Bo, 2021. "Oil shocks and stock market volatility: New evidence," Energy Economics, Elsevier, vol. 103(C).
- Brooks, Chris & Burke, Simon P. & Persand, Gita, 2001. "Benchmarks and the accuracy of GARCH model estimation," International Journal of Forecasting, Elsevier, vol. 17(1), pages 45-56.
- Izzeldin, Marwan & Muradoğlu, Yaz Gülnur & Pappas, Vasileios & Sivaprasad, Sheeja, 2021. "The impact of Covid-19 on G7 stock markets volatility: Evidence from a ST-HAR model," International Review of Financial Analysis, Elsevier, vol. 74(C).
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Ma, Feng & Lu, Xinjie & Liu, Jia & Huang, Dengshi, 2022. "Macroeconomic attention and stock market return predictability," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 79(C).
- Liu, Shan & Li, Ziwei, 2023. "Macroeconomic attention and oil futures volatility prediction," Finance Research Letters, Elsevier, vol. 57(C).
- Greta Keliuotyte-Staniuleniene & Julius Kviklis, 2021. "Assessing the reaction of the Baltic stock market to the spread of the COVID-19 pandemic," Technium Social Sciences Journal, Technium Science, vol. 25(1), pages 260-272, November.
- Song, Huiling & Wang, Chang & Lei, Xiaojie & Zhang, Hongwei, 2022. "Dynamic dependence between main-byproduct metals and the role of clean energy market," Energy Economics, Elsevier, vol. 108(C).
- Gita Persand & Chris Brooks & Simon P. Burke, 2003.
"Multivariate GARCH models: software choice and estimation issues,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(6), pages 725-734.
- Chris Brooks & Simon Burke & Gita Persand, 2003. "Multivariate GARCH Models: Software Choice and Estimation Issues," ICMA Centre Discussion Papers in Finance icma-dp2003-07, Henley Business School, University of Reading.
- Li, Dengjia & Ma, Chaoqun & Yang, Jinglan & Li, Hao, 2024. "ESG performance and corporate fraud," Finance Research Letters, Elsevier, vol. 62(PB).
- Doyle, John R. & Chen, Catherine Huirong, 2012. "A multidimensional classification of market anomalies: Evidence from 76 price indices," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 22(5), pages 1237-1257.
- Wang, Jiqian & Ma, Feng & Bouri, Elie & Zhong, Juandan, 2022. "Volatility of clean energy and natural gas, uncertainty indices, and global economic conditions," Energy Economics, Elsevier, vol. 108(C).
- Liu, Guangqiang & Guo, Xiaozhu, 2022. "Forecasting stock market volatility using commodity futures volatility information," Resources Policy, Elsevier, vol. 75(C).
- Xu, Jiaqi & Zhao, Jingfeng & Liu, Wen, 2023. "A comparative study of renewable and fossil fuels energy impacts on green development in Asian countries with divergent income inequality," Resources Policy, Elsevier, vol. 85(PA).
- Wei, Xiaoyun & Han, Liyan, 2021. "The impact of COVID-19 pandemic on transmission of monetary policy to financial markets," International Review of Financial Analysis, Elsevier, vol. 74(C).
- Emre BULUT & Ahmed İhsan ŞİMŞEK, 2023. "The Relationship Between the Stock Market Volatility, Liquidity, Exchange Rate Return, and Stock Return During the COVID-19 Period: The case of the BIST 100 Index," Bingol University Journal of Economics and Administrative Sciences, Bingol University, Faculty of Economics and Administrative Sciences, vol. 7(1), pages 121-135, June.
- Paolella, Marc S. & Polak, Paweł, 2015. "ALRIGHT: Asymmetric LaRge-scale (I)GARCH with Hetero-Tails," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 282-297.
- Chalabi, Yohan / Y. & Wuertz, Diethelm, 2010. "Weighted trimmed likelihood estimator for GARCH models," MPRA Paper 26536, University Library of Munich, Germany.
- A. Yalta & A. Yalta, 2010.
"Should Economists Use Open Source Software for Doing Research?,"
Computational Economics, Springer;Society for Computational Economics, vol. 35(4), pages 371-394, April.
- A. Talha Yalta & A. Yasemin Yalta, 2010. "Should Economists Use Open Source Software for Doing Research?," Working Papers 1007, TOBB University of Economics and Technology, Department of Economics.
- A. Talha Yalta & A. Yasemin Yalta, 2012. "Should Economists Use Open Source Software for Doing Research?," Hacettepe University Department of Economics Working Papers 20127, Hacettepe University, Department of Economics.
- Andrew Gordon Wilson & David A. Knowles & Zoubin Ghahramani, 2011. "Gaussian Process Regression Networks," Papers 1110.4411, arXiv.org.
- Thorbecke, Willem, 2022.
"Understanding the transmission of COVID-19 news to French financial markets in early 2020,"
International Economics, Elsevier, vol. 170(C), pages 103-114.
- Willem Thorbecke, 2022. "Understanding the transmission of COVID-19 news to French financial markets in early 2020," International Economics, CEPII research center, issue 170, pages 103-114.
- Yarovaya, Larisa & Brzeszczyński, Janusz & Goodell, John W. & Lucey, Brian & Lau, Chi Keung Marco, 2022. "Rethinking financial contagion: Information transmission mechanism during the COVID-19 pandemic," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 79(C).
- Gu, Tiantian & Venkateswaran, Anand & Erath, Marc, 2023. "Impact of fiscal stimulus on volatility: A cross-country analysis," Research in International Business and Finance, Elsevier, vol. 65(C).
- Ghani, Usman & Zhu, Bo & Qin, Quande & Ghani, Maria, 2024. "Forecasting US Stock Market Volatility: Evidence from ESG and CPU indices," Finance Research Letters, Elsevier, vol. 59(C).
More about this item
Keywords
VaR; ES; market risk; student t distribution; GARCH;All these keywords.
JEL classification:
- G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:blg:reveco:v:73:y:2021:i:3:p:51-74. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Eduard Alexandru Stoica (email available below). General contact details of provider: https://edirc.repec.org/data/feulbro.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.