Backtesting Value-at-Risk: From Dynamic Quantile to Dynamic Binary Tests
Citations
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Cited by:
- Benjamin R. Auer & Benjamin Mögel, 2016. "How Accurate are Modern Value-at-Risk Estimators Derived from Extreme Value Theory?," CESifo Working Paper Series 6288, CESifo.
- Wied, Dominik & Weiß, Gregor N.F. & Ziggel, Daniel, 2016. "Evaluating Value-at-Risk forecasts: A new set of multivariate backtests," Journal of Banking & Finance, Elsevier, vol. 72(C), pages 121-132.
- Katerina Rigana & Ernst C. Wit & Samantha Cook, 2024. "Navigating Market Turbulence: Insights from Causal Network Contagion Value at Risk," Papers 2402.06032, arXiv.org.
- Katja Ahoniemi & Ana-Maria Fuertes & Jose Olmo, 2016. "Overnight News and Daily Equity Trading Risk Limits," Journal of Financial Econometrics, Oxford University Press, vol. 14(3), pages 525-551.
- Emilia Fraszka-Sobczyk & Aleksandra Zakrzewska, 2026. "A new algorithm for the confidence interval construction with Monte Carlo simulation and backtesting validation," Quality & Quantity: International Journal of Methodology, Springer, vol. 60(2), pages 4447-4477, April.
- Manuela Braione & Nicolas K. Scholtes, 2016.
"Forecasting Value-at-Risk under Different Distributional Assumptions,"
Econometrics, MDPI, vol. 4(1), pages 1-27, January.
- BRAIONE, Manuela & SCHOLTES, Nicolas K., 2016. "Forecasting Value-at-Risk under Different Distributional Assumptions," LIDAM Reprints CORE 2733, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Gordy, Michael B. & McNeil, Alexander J., 2020.
"Spectral backtests of forecast distributions with application to risk management,"
Journal of Banking & Finance, Elsevier, vol. 116(C).
- Michael B. Gordy & Alexander J. McNeil, 2017. "Spectral backtests of forecast distributions with application to risk management," Papers 1708.01489, arXiv.org, revised Jul 2019.
- Michael B. Gordy & Alexander J. McNeil, 2018. "Spectral Backtests of Forecast Distributions with Application to Risk Management," Finance and Economics Discussion Series 2018-021, Board of Governors of the Federal Reserve System (U.S.).
- Lyu, Yongjian & Qin, Fanshu & Ke, Rui & Wei, Yu & Kong, Mengzhen, 2024. "Does mixed frequency variables help to forecast value at risk in the crude oil market?," Resources Policy, Elsevier, vol. 88(C).
- Boucher, Christophe M. & Daníelsson, Jón & Kouontchou, Patrick S. & Maillet, Bertrand B., 2014.
"Risk models-at-risk,"
Journal of Banking & Finance, Elsevier, vol. 44(C), pages 72-92.
- Christophe Boucher & Jon Danielsson & Patrick Kouontchou & Bertrand Maillet, 2014. "Risk Model-at-Risk," Post-Print hal-01386003, HAL.
- Boucher, Christophe M. & Danielsson, Jon & Kouontchou, Patrick S. & Maillet, Bertrand B., 2014. "Risk models–at–risk," LSE Research Online Documents on Economics 59299, London School of Economics and Political Science, LSE Library.
- Christophe Boucher & Jón Daníelsson & Patrick Kouontchou & Bertrand Maillet, 2014. "Risk models-at-risk," Post-Print hal-01243413, HAL.
- Ana-Maria Fuertes & Jose Olmo, 2016. "On Setting Day-Ahead Equity Trading Risk Limits: VaR Prediction at Market Close or Open?," JRFM, MDPI, vol. 9(3), pages 1-20, September.
- Uddin, Gazi Salah & Hernandez, Jose Areola & Shahzad, Syed Jawad Hussain & Hedström, Axel, 2018.
"Multivariate dependence and spillover effects across energy commodities and diversification potentials of carbon assets,"
Energy Economics, Elsevier, vol. 71(C), pages 35-46.
- Gazi Salah Uddin & Jose Areola Hernandez & Syed Jawad Hussain Shahzad & Axel Hedström, 2018. "Multivariate dependence and spillover effects across energy commodities and diversification potentials of carbon assets," Post-Print hal-01996386, HAL.
- Lyu, Yongjian & Qin, Fanshu & Ke, Rui & Yang, Mo & Chang, Jianing, 2024. "Forecasting the VaR of the crude oil market: A combination of mixed data sampling and extreme value theory," Energy Economics, Elsevier, vol. 133(C).
- Lyu, Yongjian & Wang, Peng & Wei, Yu & Ke, Rui, 2017. "Forecasting the VaR of crude oil market: Do alternative distributions help?," Energy Economics, Elsevier, vol. 66(C), pages 523-534.
- Jean-Paul Laurent & Hassan Omidi Firouzi, 2022. "Market Risk and Volatility Weighted Historical Simulation After Basel III," Working Papers hal-03679434, HAL.
- Lin, Weidong & Taamouti, Abderrahim, 2024.
"Portfolio selection under non-gaussianity and systemic risk: A machine learning based forecasting approach,"
International Journal of Forecasting, Elsevier, vol. 40(3), pages 1179-1188.
- Weidong Lin & Abderrahim Taamouti, 2023. "Portfolio Selection Under Non-Gaussianity And Systemic Risk: A Machine Learning Based Forecasting Approach," Working Papers 202310, University of Liverpool, Department of Economics.
- Benjamin Mögel & Benjamin R. Auer, 2018. "How accurate are modern Value-at-Risk estimators derived from extreme value theory?," Review of Quantitative Finance and Accounting, Springer, vol. 50(4), pages 979-1030, May.
- Tihana Skrinjaric & Maja Sabol, 2024.
"Easier Said than Done: Predicting Downside Risks to House Prices in Croatia,"
Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 74(1), pages 43-72, March.
- Tihana Škrinjarić & Maja Sabol, 2023. "Easier said than done: Predicting downside risks to house prices in Croatia," Working Papers 73, The Croatian National Bank, Croatia.
- Argyropoulos, Christos & Panopoulou, Ekaterini, 2019. "Backtesting VaR and ES under the magnifying glass," International Review of Financial Analysis, Elsevier, vol. 64(C), pages 22-37.
- Ming Qi & Jing Xu & Nnenna Bridget Amuji & Shumingrui Wang & Fengqian Xu & Huan Zhou, 2022. "The Nexus among Energy Consumption, Economic Growth and Trade Openness: Evidence from West Africa," Sustainability, MDPI, vol. 14(6), pages 1-22, March.
- Tihana Škrinjarić, 2023. "Macroprudential stance assessment: problems of measurement, literature review and some comments for the case of Croatia," Working Papers 72, The Croatian National Bank, Croatia.
- Ziggel, Daniel & Berens, Tobias & Weiß, Gregor N.F. & Wied, Dominik, 2014. "A new set of improved Value-at-Risk backtests," Journal of Banking & Finance, Elsevier, vol. 48(C), pages 29-41.
- Rachida Hennani, 2015. "Can the Lasota(1977)’s model compete with the Mackey-Glass(1977)’s model in nonlinear modelling of financial time series?," Working Papers 15-09, LAMETA, Universtiy of Montpellier, revised Jun 2015.
- Emrah Altun & Huseyin Tatlidil & Gamze Ozel & Saralees Nadarajah, 2018. "Does the Assumption on Innovation Process Play an Important Role for Filtered Historical Simulation Model?," JRFM, MDPI, vol. 11(1), pages 1-13, January.
- Denis Pelletier & Wei Wei, 2016. "The Geometric-VaR Backtesting Method," Journal of Financial Econometrics, Oxford University Press, vol. 14(4), pages 725-745.
- G. Gallo & O. Okhrin & G. Storti, 2024.
"Dynamic tail risk forecasting: what do realized skewness and kurtosis add?,"
Working Paper CRENoS
202416, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
- Giampiero Gallo & Ostap Okhrin & Giuseppe Storti, 2024. "Dynamic tail risk forecasting: what do realized skewness and kurtosis add?," Papers 2409.13516, arXiv.org.
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