Interquantile Expectation Regression
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Citations
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Cited by:
- Sander Barendse & Erik Kole & Dick van Dijk, 2023.
"Backtesting Value-at-Risk and Expected Shortfall in the Presence of Estimation Error,"
Journal of Financial Econometrics, Oxford University Press, vol. 21(2), pages 528-568.
- Sander Barendse & Erik Kole & Dick van Dijk, 2019. "Backtesting Value-at-Risk and Expected Shortfall in the Presence of Estimation Error," Tinbergen Institute Discussion Papers 19-058/III, Tinbergen Institute.
- Sebastian Bayer & Timo Dimitriadis, 2018. "Regression Based Expected Shortfall Backtesting," Papers 1801.04112, arXiv.org, revised Sep 2019.
- Tobias Fissler & Johanna F. Ziegel, 2019. "Evaluating Range Value at Risk Forecasts," Papers 1902.04489, arXiv.org, revised Nov 2020.
- Patton, Andrew J. & Ziegel, Johanna F. & Chen, Rui, 2019.
"Dynamic semiparametric models for expected shortfall (and Value-at-Risk),"
Journal of Econometrics, Elsevier, vol. 211(2), pages 388-413.
- Andrew J. Patton & Johanna F. Ziegel & Rui Chen, 2017. "Dynamic Semiparametric Models for Expected Shortfall (and Value-at-Risk)," Papers 1707.05108, arXiv.org.
- Timo Dimitriadis & Andrew J. Patton & Patrick W. Schmidt, 2019.
"Testing Forecast Rationality for Measures of Central Tendency,"
Papers
1910.12545, arXiv.org, revised Jul 2024.
- Dimitriadis, Timo & Patton, Andrew J. & Schmidt, Patrick W., 2020. "Testing forecast rationality for measures of central tendency," Hohenheim Discussion Papers in Business, Economics and Social Sciences 12-2020, University of Hohenheim, Faculty of Business, Economics and Social Sciences.
- Caporale, Guglielmo Maria & Zekokh, Timur, 2019.
"Modelling volatility of cryptocurrencies using Markov-Switching GARCH models,"
Research in International Business and Finance, Elsevier, vol. 48(C), pages 143-155.
- Guglielmo Maria Caporale & Timur Zekokh, 2018. "Modelling Volatility of Cryptocurrencies Using Markov-Switching Garch Models," CESifo Working Paper Series 7167, CESifo.
- Timo Dimitriadis & Julie Schnaitmann, 2019. "Forecast Encompassing Tests for the Expected Shortfall," Papers 1908.04569, arXiv.org, revised Aug 2020.
- Müller, Fernanda Maria & Santos, Samuel Solgon & Gössling, Thalles Weber & Righi, Marcelo Brutti, 2022. "Comparison of risk forecasts for cryptocurrencies: A focus on Range Value at Risk," Finance Research Letters, Elsevier, vol. 48(C).
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More about this item
Keywords
quantile; interquantile expectation; regression; generalized method of moments; risk management; expected shortfall;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
- C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
- G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
NEP fields
This paper has been announced in the following NEP Reports:- NEP-ECM-2017-03-26 (Econometrics)
- NEP-RMG-2017-03-26 (Risk Management)
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