Interpreting Value at Risk (VaR) forecasts
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- Jeremy Berkowitz & James O'Brien, 2002. "How Accurate Are Value‐at‐Risk Models at Commercial Banks?," Journal of Finance, American Finance Association, vol. 57(3), pages 1093-1111, June.
- Paul H. Kupiec, 1995. "Techniques for verifying the accuracy of risk measurement models," Finance and Economics Discussion Series 95-24, Board of Governors of the Federal Reserve System (U.S.).
- Berger, Allen N. & Herring, Richard J. & Szego, Giorgio P., 1995.
"The role of capital in financial institutions,"
Journal of Banking & Finance, Elsevier, vol. 19(3-4), pages 393-430, June.
- Allen N. Berger & Richard J. Herring & Giorgio P. Szegö, 1995. "The Role of Capital in Financial Institutions," Center for Financial Institutions Working Papers 95-01, Wharton School Center for Financial Institutions, University of Pennsylvania.
- Allen N. Berger & Richard J. Herring & Giorgio P. Szego, 1995. "The role of capital in financial institutions," Finance and Economics Discussion Series 95-23, Board of Governors of the Federal Reserve System (U.S.).
- M.J.B. Hall, 1996.
"The amendment to the capital accord to incorporate market risk,"
Banca Nazionale del Lavoro Quarterly Review, Banca Nazionale del Lavoro, vol. 49(197), pages 271-277.
- M.J.B. Hall, 1996. "The amendment to the capital accord to incorporate market risk," BNL Quarterly Review, Banca Nazionale del Lavoro, vol. 49(197), pages 271-277.
- 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.
- 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.
- Robert Engle & Simone Manganelli, 2000. "CAViaR: Conditional Autoregressive Value at Risk by Regression Quantiles," Econometric Society World Congress 2000 Contributed Papers 0841, Econometric Society.
- Peter F. Christoffersen & Francis X. Diebold & Til Schuermann, 1998.
"Horizon problems and extreme events in financial risk management,"
Economic Policy Review, Federal Reserve Bank of New York, vol. 4(Oct), pages 109-118.
- Peter F. Christoffersen & Francis X. Diebold & Til Schuermann, 1998. "Horizon Problems and Extreme Events in Financial Risk Management," Center for Financial Institutions Working Papers 98-16, Wharton School Center for Financial Institutions, University of Pennsylvania.
- Danielsson, Jon, 2002.
"The emperor has no clothes: Limits to risk modelling,"
Journal of Banking & Finance, Elsevier, vol. 26(7), pages 1273-1296, July.
- Jon Danielsson, 2000. "The Emperor has no Clothes: Limits to Risk Modelling," FMG Special Papers sp126, Financial Markets Group.
- Christoffersen, Peter F, 1998. "Evaluating Interval Forecasts," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(4), pages 841-862, November.
- Bradley, Michael G. & Wambeke, Carol A. & Whidbee, David A., 1991. "Risk weights, risk-based capital and deposit insurance," Journal of Banking & Finance, Elsevier, vol. 15(4-5), pages 875-893, September.
- Darryll Hendricks, 1996. "Evaluation of value-at-risk models using historical data," Economic Policy Review, Federal Reserve Bank of New York, vol. 2(Apr), pages 39-69.
- Pagan, Adrian, 1996. "The econometrics of financial markets," Journal of Empirical Finance, Elsevier, vol. 3(1), pages 15-102, May.
- Consigli, Giorgio, 2002. "Tail estimation and mean-VaR portfolio selection in markets subject to financial instability," Journal of Banking & Finance, Elsevier, vol. 26(7), pages 1355-1382, July.
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- Gordon Rausser & William Balson & Reid Stevens, 2010.
"Centralized clearing for over‐the‐counter derivatives,"
Journal of Financial Economic Policy, Emerald Group Publishing Limited, vol. 2(4), pages 346-359, November.
- Rausser, Gordon C. & Balson, William & Stevens, Reid, 2009. "Centralized Clearing for Over-the-Counter Derivatives," CUDARE Working Papers 120533, University of California, Berkeley, Department of Agricultural and Resource Economics.
- Rausser, Gordon C. & Balson, William & Stevens, Reid, 2009. "Centralized Clearing for Over-the-Counter Derivatives," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt494976mk, Department of Agricultural & Resource Economics, UC Berkeley.
- Stefano Ferretti, 2023. "On the Modeling and Simulation of Portfolio Allocation Schemes: an Approach Based on Network Community Detection," Computational Economics, Springer;Society for Computational Economics, vol. 62(3), pages 969-1005, October.
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