Robust regression for capital asset pricing model using Bayesian approach
© 2016 by the Mathematical Association of Thailand. All rights reserved. This study investigate the performance of a portfolio based on capital asset pricing model using a Bayesian statistics approach. We use a hierarchical model robustly to estimate the systematic risk of an asset. We assume that t...
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th-cmuir.6653943832-559842018-09-05T03:07:04Z Robust regression for capital asset pricing model using Bayesian approach K. Autchariyapanitkui K. Kunasri S. Sriboonchitta Mathematics © 2016 by the Mathematical Association of Thailand. All rights reserved. This study investigate the performance of a portfolio based on capital asset pricing model using a Bayesian statistics approach. We use a hierarchical model robustly to estimate the systematic risk of an asset. We assume that the returns follow independent normal distributions. MCMC sampling is applied to calculate all the parameters in the model. Finally, the Bayesian method gives us the probability of every possible asset returns, given the market returns and also the posterior predictions is a clue that the model could be improved. 2018-09-05T03:07:04Z 2018-09-05T03:07:04Z 2016-01-01 Journal 16860209 2-s2.0-85008414362 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85008414362&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/55984 |
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Mathematics K. Autchariyapanitkui K. Kunasri S. Sriboonchitta Robust regression for capital asset pricing model using Bayesian approach |
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© 2016 by the Mathematical Association of Thailand. All rights reserved. This study investigate the performance of a portfolio based on capital asset pricing model using a Bayesian statistics approach. We use a hierarchical model robustly to estimate the systematic risk of an asset. We assume that the returns follow independent normal distributions. MCMC sampling is applied to calculate all the parameters in the model. Finally, the Bayesian method gives us the probability of every possible asset returns, given the market returns and also the posterior predictions is a clue that the model could be improved. |
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K. Autchariyapanitkui K. Kunasri S. Sriboonchitta |
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K. Autchariyapanitkui K. Kunasri S. Sriboonchitta |
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K. Autchariyapanitkui |
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Robust regression for capital asset pricing model using Bayesian approach |
title_short |
Robust regression for capital asset pricing model using Bayesian approach |
title_full |
Robust regression for capital asset pricing model using Bayesian approach |
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Robust regression for capital asset pricing model using Bayesian approach |
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Robust regression for capital asset pricing model using Bayesian approach |
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robust regression for capital asset pricing model using bayesian approach |
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2018 |
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https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85008414362&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/55984 |
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1681424607248121856 |