Risk valuation of precious metal returns by histogram valued time series

© Springer International Publishing AG 2018. The price of precious metals is highly volatile and it can bring both risk and fortune to traders and investors, and therefore should be examined. In this paper, we introduce an approach to fitting a Copula-GARCH to valued time series and apply this metho...

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Main Authors: Pichayakone Rakpho, Woraphon Yamaka, Roengchai Tansuchat
Format: Book Series
Published: 2018
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Online Access:https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85037837990&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/58537
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Institution: Chiang Mai University
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spelling th-cmuir.6653943832-585372018-09-05T04:26:02Z Risk valuation of precious metal returns by histogram valued time series Pichayakone Rakpho Woraphon Yamaka Roengchai Tansuchat Computer Science © Springer International Publishing AG 2018. The price of precious metals is highly volatile and it can bring both risk and fortune to traders and investors, and therefore should be examined. In this paper, we introduce an approach to fitting a Copula-GARCH to valued time series and apply this methodology to the daily histogram returns of precious metals consisting of gold, silver, and platinum. The study also conducts a simulation study to confirm the accuracy of the model and the result shows that our model performs well. In the empirical study, our results suggest investing on gold and platinum in high proportion while silver is not recommended for inclusion in the precious metal portfolio. Moreover, precious metal portfolio of the intraday 30-min returns gives lower risk when compared with portfolio of the intraday 60-min returns. Therefore, investors should not hold assets for long period of time because the long-term holding is likely to face a higher risk. 2018-09-05T04:26:02Z 2018-09-05T04:26:02Z 2018-01-01 Book Series 1860949X 2-s2.0-85037837990 10.1007/978-3-319-70942-0_39 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85037837990&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/58537
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
topic Computer Science
spellingShingle Computer Science
Pichayakone Rakpho
Woraphon Yamaka
Roengchai Tansuchat
Risk valuation of precious metal returns by histogram valued time series
description © Springer International Publishing AG 2018. The price of precious metals is highly volatile and it can bring both risk and fortune to traders and investors, and therefore should be examined. In this paper, we introduce an approach to fitting a Copula-GARCH to valued time series and apply this methodology to the daily histogram returns of precious metals consisting of gold, silver, and platinum. The study also conducts a simulation study to confirm the accuracy of the model and the result shows that our model performs well. In the empirical study, our results suggest investing on gold and platinum in high proportion while silver is not recommended for inclusion in the precious metal portfolio. Moreover, precious metal portfolio of the intraday 30-min returns gives lower risk when compared with portfolio of the intraday 60-min returns. Therefore, investors should not hold assets for long period of time because the long-term holding is likely to face a higher risk.
format Book Series
author Pichayakone Rakpho
Woraphon Yamaka
Roengchai Tansuchat
author_facet Pichayakone Rakpho
Woraphon Yamaka
Roengchai Tansuchat
author_sort Pichayakone Rakpho
title Risk valuation of precious metal returns by histogram valued time series
title_short Risk valuation of precious metal returns by histogram valued time series
title_full Risk valuation of precious metal returns by histogram valued time series
title_fullStr Risk valuation of precious metal returns by histogram valued time series
title_full_unstemmed Risk valuation of precious metal returns by histogram valued time series
title_sort risk valuation of precious metal returns by histogram valued time series
publishDate 2018
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85037837990&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/58537
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