Predicting stock returns in the capital asset pricing model using quantile regression and belief functions
© Springer International Publishing Switzerland 2014. We consider an inference method for prediction based on belief functions in quantile regression with an asymmetric Laplace distribution. Specifically, we apply this method to the capital asset pricing model to estimate the beta coefficient and me...
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th-cmuir.6653943832-534372018-09-04T09:56:03Z Predicting stock returns in the capital asset pricing model using quantile regression and belief functions Kittawit Autchariyapanitkul Somsak Chanaim Songsak Sriboonchitta Thierry Denoeux Computer Science Mathematics © Springer International Publishing Switzerland 2014. We consider an inference method for prediction based on belief functions in quantile regression with an asymmetric Laplace distribution. Specifically, we apply this method to the capital asset pricing model to estimate the beta coefficient and measure volatility under various market conditions at given levels of quantile. Likelihood-based belief functions are calculated from historical data of the securities in the S&P500 market. The results give us evidence on the systematic risk, in the form of a consonant belief function specified from the asymmetric Laplace distribution likelihood function given recorded data. Finally, we use the method to forecast the return of an individual stock. 2018-09-04T09:49:10Z 2018-09-04T09:49:10Z 2014-01-01 Book Series 16113349 03029743 2-s2.0-84921642441 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84921642441&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/53437 |
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Computer Science Mathematics Kittawit Autchariyapanitkul Somsak Chanaim Songsak Sriboonchitta Thierry Denoeux Predicting stock returns in the capital asset pricing model using quantile regression and belief functions |
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© Springer International Publishing Switzerland 2014. We consider an inference method for prediction based on belief functions in quantile regression with an asymmetric Laplace distribution. Specifically, we apply this method to the capital asset pricing model to estimate the beta coefficient and measure volatility under various market conditions at given levels of quantile. Likelihood-based belief functions are calculated from historical data of the securities in the S&P500 market. The results give us evidence on the systematic risk, in the form of a consonant belief function specified from the asymmetric Laplace distribution likelihood function given recorded data. Finally, we use the method to forecast the return of an individual stock. |
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Book Series |
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Kittawit Autchariyapanitkul Somsak Chanaim Songsak Sriboonchitta Thierry Denoeux |
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Kittawit Autchariyapanitkul Somsak Chanaim Songsak Sriboonchitta Thierry Denoeux |
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Kittawit Autchariyapanitkul |
title |
Predicting stock returns in the capital asset pricing model using quantile regression and belief functions |
title_short |
Predicting stock returns in the capital asset pricing model using quantile regression and belief functions |
title_full |
Predicting stock returns in the capital asset pricing model using quantile regression and belief functions |
title_fullStr |
Predicting stock returns in the capital asset pricing model using quantile regression and belief functions |
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Predicting stock returns in the capital asset pricing model using quantile regression and belief functions |
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predicting stock returns in the capital asset pricing model using quantile regression and belief functions |
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2018 |
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https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84921642441&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/53437 |
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