Pei Pei
Personal Details
First Name: | Pei |
Middle Name: | |
Last Name: | Pei |
Suffix: | |
RePEc Short-ID: | ppe577 |
[This author has chosen not to make the email address public] | |
Affiliation
Chinese Academy of Finance and Development
Central University of Finance and Economics (CUFE)
Beijing, Chinahttp://cafd.cufe.edu.cn/
RePEc:edi:fdcufcn (more details at EDIRC)
Research output
Jump to: Working papers ArticlesWorking papers
- Li, Bing & Pei, Pei & Tan, Fei, 2018. "Credit Risk and Fiscal Inflation," MPRA Paper 90486, University Library of Munich, Germany.
- Juan Carlos Escanciano & Pei Pei, 2012.
"Pitfalls in Backtesting Historical Simulation VaR Models,"
CAEPR Working Papers
2012-003, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
- Escanciano, Juan Carlos & Pei, Pei, 2012. "Pitfalls in backtesting Historical Simulation VaR models," Journal of Banking & Finance, Elsevier, vol. 36(8), pages 2233-2244.
- Pei Pei, 2010. "Backtesting Portfolio Value-at-Risk with Estimated Portfolio Weights," CAEPR Working Papers 2010-010, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
Articles
- Escanciano, Juan Carlos & Pei, Pei, 2012.
"Pitfalls in backtesting Historical Simulation VaR models,"
Journal of Banking & Finance, Elsevier, vol. 36(8), pages 2233-2244.
- Juan Carlos Escanciano & Pei Pei, 2012. "Pitfalls in Backtesting Historical Simulation VaR Models," CAEPR Working Papers 2012-003, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
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.Working papers
- Li, Bing & Pei, Pei & Tan, Fei, 2018.
"Credit Risk and Fiscal Inflation,"
MPRA Paper
90486, University Library of Munich, Germany.
Cited by:
- Timothy C. Irwin, 2020. "Accrual Accounting and the Government's Intertemporal Budget Constraint," Public Budgeting & Finance, Wiley Blackwell, vol. 40(4), pages 128-141, December.
- Juan Carlos Escanciano & Pei Pei, 2012.
"Pitfalls in Backtesting Historical Simulation VaR Models,"
CAEPR Working Papers
2012-003, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
- Escanciano, Juan Carlos & Pei, Pei, 2012. "Pitfalls in backtesting Historical Simulation VaR models," Journal of Banking & Finance, Elsevier, vol. 36(8), pages 2233-2244.
Cited by:
- Juan Carlos Escanciano & Zaichao Du, 2015. "Backtesting Expected Shortfall: Accounting for Tail Risk," CAEPR Working Papers 2015-001, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
- Onder Buberkoku, 2018. "Examining the Value-at-risk Performance of Fractionally Integrated GARCH Models: Evidence from Energy Commodities," International Journal of Economics and Financial Issues, Econjournals, vol. 8(3), pages 36-50.
- Yun-Tao Shi & Xiang Xiang & Li Wang & Yuan Zhang & De-Hui Sun, 2018. "Stochastic Model Predictive Fault Tolerant Control Based on Conditional Value at Risk for Wind Energy Conversion System," Energies, MDPI, vol. 11(1), pages 1-20, January.
- Emese Lazar & Ning Zhang, 2017.
"Model Risk of Expected Shortfall,"
ICMA Centre Discussion Papers in Finance
icma-dp2017-10, Henley Business School, University of Reading.
- Lazar, Emese & Zhang, Ning, 2019. "Model risk of expected shortfall," Journal of Banking & Finance, Elsevier, vol. 105(C), pages 74-93.
- Christophe Boucher & Jon Danielsson & Patrick Kouontchou & Bertrand Maillet, 2014.
"Risk models-at-risk,"
Post-Print
hal-02312332, HAL.
- 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.
- 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 & Jon Danielsson & Patrick Kouontchou & Bertrand Maillet, 2014. "Risk Model-at-Risk," Post-Print hal-01386003, HAL.
- Christophe Boucher & Jón Daníelsson & Patrick Kouontchou & Bertrand Maillet, 2014. "Risk models-at-risk," Post-Print hal-01243413, HAL.
- Bei, Shuhua & Yang, Aijun & Pei, Haotian & Si, Xiaoli, 2023. "Price Risk Analysis using GARCH Family Models: Evidence from Shanghai Crude Oil Futures Market," Economic Modelling, Elsevier, vol. 125(C).
- 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).
- Nieto, Maria Rosa & Ruiz, Esther, 2016. "Frontiers in VaR forecasting and backtesting," International Journal of Forecasting, Elsevier, vol. 32(2), pages 475-501.
- Taras Bodnar & Vilhelm Niklasson & Erik Thors'en, 2022. "Volatility Sensitive Bayesian Estimation of Portfolio VaR and CVaR," Papers 2205.01444, arXiv.org.
- 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).
- James Ming Chen, 2018. "On Exactitude in Financial Regulation: Value-at-Risk, Expected Shortfall, and Expectiles," Risks, MDPI, vol. 6(2), pages 1-28, June.
- Radu Tunaru, 2015. "Model Risk in Financial Markets:From Financial Engineering to Risk Management," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 9524.
- 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.
- Durán Santomil, Pablo & Otero González, Luís & Martorell Cunill, Onofre & Merigó Lindahl, José M., 2018. "Backtesting an equity risk model under Solvency II," Journal of Business Research, Elsevier, vol. 89(C), pages 216-222.
- D. Th. Vezeris & C. J. Schinas & Th. S. Kyrgos & V. A. Bizergianidou & I. P. Karkanis, 2020. "Optimization of Backtesting Techniques in Automated High Frequency Trading Systems Using the d-Backtest PS Method," Computational Economics, Springer;Society for Computational Economics, vol. 56(4), pages 975-1054, December.
- Murphy, David, 2023. "What can we expect from a good margin model? Observations from whole-distribution tests of risk-based initial margin models," LSE Research Online Documents on Economics 118281, London School of Economics and Political Science, LSE Library.
- 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.
- Ilhami KARAHANOGLU, 2020. "The VaR comparison of the fresh investment toolBITCOIN with other conventional investment tools, gold, stock exchange (BIST100) and foreign currencies (EUR/USD VS TRL)," Eastern Journal of European Studies, Centre for European Studies, Alexandru Ioan Cuza University, vol. 11, pages 160-181, December.
- Christian Brownlees & Giuseppe Cavaliere & Alice Monti, 2018. "Evaluating The Accuracy Of Tail Risk Forecasts For Systemic Risk Measurement," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 13(02), pages 1-25, June.
- Guillén, Montserrat & Sarabia, José María & Prieto, Faustino, 2013. "Simple risk measure calculations for sums of positive random variables," Insurance: Mathematics and Economics, Elsevier, vol. 53(1), pages 273-280.
- Gregor Wei{ss} & Marcus Scheffer, 2012. "Smooth Nonparametric Bernstein Vine Copulas," Papers 1210.2043, arXiv.org.
Articles
- Escanciano, Juan Carlos & Pei, Pei, 2012.
"Pitfalls in backtesting Historical Simulation VaR models,"
Journal of Banking & Finance, Elsevier, vol. 36(8), pages 2233-2244.
See citations under working paper version above.Sorry, no citations of articles recorded.
- Juan Carlos Escanciano & Pei Pei, 2012. "Pitfalls in Backtesting Historical Simulation VaR Models," CAEPR Working Papers 2012-003, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
More information
Research fields, statistics, top rankings, if available.Statistics
Access and download statistics for all items
Co-authorship network on CollEc
NEP Fields
NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 1 paper 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.- NEP-CBA: Central Banking (1) 2018-12-24
- NEP-DGE: Dynamic General Equilibrium (1) 2018-12-24
- NEP-MAC: Macroeconomics (1) 2018-12-24
- NEP-MON: Monetary Economics (1) 2018-12-24
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