Asymmetry dynamic volatility forecast evaluations using interday and intraday data

The accuracy of financial time series forecasts often rely on the model precision and the availability of actual observations for forecast evaluations. This study aimed to tackle these issues in order to obtain a suitable asymmetric time-varying volatility model that outperformed in the forecast...

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Main Authors: Chin, Wen Cheong, Ng, Sew Lai, Zaidi Isa, Abu Hassan Shaari Mohd Nor
Format: Article
Language:English
Published: Universiti Kebangsaan Malaysia 2012
Online Access:http://journalarticle.ukm.my/5536/
http://journalarticle.ukm.my/5536/
http://journalarticle.ukm.my/5536/1/16%2520Chin%2520Wen%2520Cheong.pdf
id ukm-5536
recordtype eprints
spelling ukm-55362016-12-14T06:38:45Z http://journalarticle.ukm.my/5536/ Asymmetry dynamic volatility forecast evaluations using interday and intraday data Chin, Wen Cheong Ng, Sew Lai Zaidi Isa, Abu Hassan Shaari Mohd Nor, The accuracy of financial time series forecasts often rely on the model precision and the availability of actual observations for forecast evaluations. This study aimed to tackle these issues in order to obtain a suitable asymmetric time-varying volatility model that outperformed in the forecast evaluations based on interday and intraday data. The model precision was examined based on the most appropriate time-varying volatility representation under the autoregressive conditional heteroscedascity framework. For forecast precision, the evaluations were conducted under three loss functions using the volatility proxies and realized volatility. The empirical studies were implemented on two major financial markets and the estimated results are applied in quantifying their market risks. Empirical results indicated that Zakoian model provided the best in-sample forecasts whereas DGE on the other hand indicated better out-of-sample forecasts. For the type of volatility proxy selection, the implementation of intraday data in the latent volatility indicated significant improvement in all the time horizon forecasts. Universiti Kebangsaan Malaysia 2012-10 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/5536/1/16%2520Chin%2520Wen%2520Cheong.pdf Chin, Wen Cheong and Ng, Sew Lai and Zaidi Isa, and Abu Hassan Shaari Mohd Nor, (2012) Asymmetry dynamic volatility forecast evaluations using interday and intraday data. Sains Malaysiana, 41 (10). pp. 1287-1299. ISSN 0126-6039 http://www.ukm.my/jsm/contents.html
repository_type Digital Repository
institution_category Local University
institution Universiti Kebangasaan Malaysia
building UKM Institutional Repository
collection Online Access
language English
description The accuracy of financial time series forecasts often rely on the model precision and the availability of actual observations for forecast evaluations. This study aimed to tackle these issues in order to obtain a suitable asymmetric time-varying volatility model that outperformed in the forecast evaluations based on interday and intraday data. The model precision was examined based on the most appropriate time-varying volatility representation under the autoregressive conditional heteroscedascity framework. For forecast precision, the evaluations were conducted under three loss functions using the volatility proxies and realized volatility. The empirical studies were implemented on two major financial markets and the estimated results are applied in quantifying their market risks. Empirical results indicated that Zakoian model provided the best in-sample forecasts whereas DGE on the other hand indicated better out-of-sample forecasts. For the type of volatility proxy selection, the implementation of intraday data in the latent volatility indicated significant improvement in all the time horizon forecasts.
format Article
author Chin, Wen Cheong
Ng, Sew Lai
Zaidi Isa,
Abu Hassan Shaari Mohd Nor,
spellingShingle Chin, Wen Cheong
Ng, Sew Lai
Zaidi Isa,
Abu Hassan Shaari Mohd Nor,
Asymmetry dynamic volatility forecast evaluations using interday and intraday data
author_facet Chin, Wen Cheong
Ng, Sew Lai
Zaidi Isa,
Abu Hassan Shaari Mohd Nor,
author_sort Chin, Wen Cheong
title Asymmetry dynamic volatility forecast evaluations using interday and intraday data
title_short Asymmetry dynamic volatility forecast evaluations using interday and intraday data
title_full Asymmetry dynamic volatility forecast evaluations using interday and intraday data
title_fullStr Asymmetry dynamic volatility forecast evaluations using interday and intraday data
title_full_unstemmed Asymmetry dynamic volatility forecast evaluations using interday and intraday data
title_sort asymmetry dynamic volatility forecast evaluations using interday and intraday data
publisher Universiti Kebangsaan Malaysia
publishDate 2012
url http://journalarticle.ukm.my/5536/
http://journalarticle.ukm.my/5536/
http://journalarticle.ukm.my/5536/1/16%2520Chin%2520Wen%2520Cheong.pdf
first_indexed 2023-09-18T19:44:24Z
last_indexed 2023-09-18T19:44:24Z
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