Evaluating density forecasts with applications to financial risk management
We propose methods for evaluating density forecasts. We focus primarily on methods that are applicable regardless of the particular user’s loss function. We illustrate the methods with a detailed simulation example, and then we present an application to density forecasting of daily stock market retu...
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1998
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sg-smu-ink.soe_research-10682017-01-26T08:42:22Z Evaluating density forecasts with applications to financial risk management Diebold, Francis X. Gunther, Todd A. TAY, Anthony S. We propose methods for evaluating density forecasts. We focus primarily on methods that are applicable regardless of the particular user’s loss function. We illustrate the methods with a detailed simulation example, and then we present an application to density forecasting of daily stock market returns. We discuss extensions for improving suboptimal density forecasts, multi-step-ahead density forecast evaluation, multivariate density forecast evaluation, monitoring for structural change and its relationship to density forecasting, and density forecast evaluation with known loss function. 1998-11-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/soe_research/69 info:doi/10.2307/2527342 https://ink.library.smu.edu.sg/context/soe_research/article/1068/viewcontent/EvaluatingDensityForecastsFinRiskMgt_1998_IEA_afv.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Economics eng Institutional Knowledge at Singapore Management University Analytical forecasting Density estimation Histograms Autocorrelation Probabilities Finance International economics Probability forecasts Forecasting models Economic statistics Econometrics Economics Finance |
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Analytical forecasting Density estimation Histograms Autocorrelation Probabilities Finance International economics Probability forecasts Forecasting models Economic statistics Econometrics Economics Finance Diebold, Francis X. Gunther, Todd A. TAY, Anthony S. Evaluating density forecasts with applications to financial risk management |
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We propose methods for evaluating density forecasts. We focus primarily on methods that are applicable regardless of the particular user’s loss function. We illustrate the methods with a detailed simulation example, and then we present an application to density forecasting of daily stock market returns. We discuss extensions for improving suboptimal density forecasts, multi-step-ahead density forecast evaluation, multivariate density forecast evaluation, monitoring for structural change and its relationship to density forecasting, and density forecast evaluation with known loss function. |
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Diebold, Francis X. Gunther, Todd A. TAY, Anthony S. |
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Diebold, Francis X. Gunther, Todd A. TAY, Anthony S. |
author_sort |
Diebold, Francis X. |
title |
Evaluating density forecasts with applications to financial risk management |
title_short |
Evaluating density forecasts with applications to financial risk management |
title_full |
Evaluating density forecasts with applications to financial risk management |
title_fullStr |
Evaluating density forecasts with applications to financial risk management |
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Evaluating density forecasts with applications to financial risk management |
title_sort |
evaluating density forecasts with applications to financial risk management |
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Institutional Knowledge at Singapore Management University |
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1998 |
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https://ink.library.smu.edu.sg/soe_research/69 https://ink.library.smu.edu.sg/context/soe_research/article/1068/viewcontent/EvaluatingDensityForecastsFinRiskMgt_1998_IEA_afv.pdf |
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