Modelling the conditional variance and asymmetric response to past shocks in the Malaysian bond market
The exercise of modelling the risk and volatility of corporate bonds is undertaken through credit spreads analysis, a practice normally used in bond pricing and risk management. Despite the rapid growth of the Malaysian bond market, very few studies on the behaviour of credit spreads, and whether it...
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University of Malaya
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iium-436142017-05-24T07:23:45Z http://irep.iium.edu.my/43614/ Modelling the conditional variance and asymmetric response to past shocks in the Malaysian bond market Rahman, Maya Puspa Omar, Mohd. Azmi Kassim, Salina HG4501 Stocks, investment, speculation The exercise of modelling the risk and volatility of corporate bonds is undertaken through credit spreads analysis, a practice normally used in bond pricing and risk management. Despite the rapid growth of the Malaysian bond market, very few studies on the behaviour of credit spreads, and whether its volatility is influenced by external shocks have been conducted. This paper aims to unveil the trends and behaviour of credit spreads during the 2007/2008 global financial crisis. It examines the credit spreads of the Malaysian bond market by modelling the conditional variance and asymmetric response to past shocks of the long and short term investment and non-investment grade papers. A generalised autoregressive conditional heteroscedasticity (GARCH) is applied to 10 different ratings and maturity over the period ranging from 1 August 2005 to 31 December 2011. More specifically, modelling the asymmetry via the threshold GARCH (TARCH) and exponential GARCH (EGARCH) models meets the aim of this paper which examines the asymmetric response to past shocks of the Malaysian bond market during the 2007/2008 global financial crisis. The empirical analysis of this paper provides evidence of strong time-varying conditional variance of the Malaysian bond credit spreads with the expectation of future rate being the main determinant for credit spreads. Additionally, the evidence also indicates that past news or shocks as well as forecast variance are important in explaining the volatility of the spreads. The insignificant TARCH and EGARCH coefficients, nonetheless, indicate that there is no evidence of asymmetric response to past shocks in the volatility of bond spreads. University of Malaya 2015 Article PeerReviewed application/pdf en cc_by http://irep.iium.edu.my/43614/1/Rahman_et_al._%282015%29._Modelling_the_conditional_variance_and_asymmetric_response_to_past_shocks_in_the_Malaysia_bond_market._AJBA%2881%29%2C_1-37..pdf application/pdf en http://irep.iium.edu.my/43614/4/43614_modelling_the_conditional_variance_Scopus.pdf Rahman, Maya Puspa and Omar, Mohd. Azmi and Kassim, Salina (2015) Modelling the conditional variance and asymmetric response to past shocks in the Malaysian bond market. Asian Journal of Business and Accounting, 8 (1). pp. 1-37. ISSN 1985-4064 http://ajba.um.edu.my/ |
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HG4501 Stocks, investment, speculation Rahman, Maya Puspa Omar, Mohd. Azmi Kassim, Salina Modelling the conditional variance and asymmetric response to past shocks in the Malaysian bond market |
description |
The exercise of modelling the risk and volatility of corporate bonds is undertaken through credit spreads analysis, a practice normally used in bond pricing and risk management. Despite the rapid growth of the Malaysian bond market, very few studies on the behaviour of credit spreads, and whether its volatility is influenced by external shocks have been conducted. This paper aims to unveil the trends and behaviour of credit spreads during the 2007/2008 global financial crisis. It examines the credit spreads of the Malaysian bond market by modelling the conditional variance and asymmetric response to past shocks of the long and short term investment and non-investment grade papers. A generalised autoregressive conditional heteroscedasticity (GARCH) is applied to 10 different ratings and maturity over the period ranging from 1 August 2005 to 31 December 2011. More specifically, modelling the asymmetry via the threshold GARCH (TARCH) and exponential GARCH (EGARCH) models meets the aim of this paper which examines the asymmetric response to past shocks of the Malaysian bond market during the 2007/2008 global financial crisis. The empirical analysis of this paper provides evidence of strong time-varying conditional variance of the Malaysian bond credit spreads with the expectation of future rate being the main determinant for credit spreads. Additionally, the evidence also indicates that past news or shocks as well as forecast variance are important in explaining the volatility of the spreads. The insignificant TARCH and EGARCH coefficients, nonetheless, indicate that there is no evidence of asymmetric response to past shocks in the volatility of bond spreads. |
format |
Article |
author |
Rahman, Maya Puspa Omar, Mohd. Azmi Kassim, Salina |
author_facet |
Rahman, Maya Puspa Omar, Mohd. Azmi Kassim, Salina |
author_sort |
Rahman, Maya Puspa |
title |
Modelling the conditional variance and asymmetric response to past shocks in the Malaysian bond market |
title_short |
Modelling the conditional variance and asymmetric response to past shocks in the Malaysian bond market |
title_full |
Modelling the conditional variance and asymmetric response to past shocks in the Malaysian bond market |
title_fullStr |
Modelling the conditional variance and asymmetric response to past shocks in the Malaysian bond market |
title_full_unstemmed |
Modelling the conditional variance and asymmetric response to past shocks in the Malaysian bond market |
title_sort |
modelling the conditional variance and asymmetric response to past shocks in the malaysian bond market |
publisher |
University of Malaya |
publishDate |
2015 |
url |
http://irep.iium.edu.my/43614/ http://irep.iium.edu.my/43614/ http://irep.iium.edu.my/43614/1/Rahman_et_al._%282015%29._Modelling_the_conditional_variance_and_asymmetric_response_to_past_shocks_in_the_Malaysia_bond_market._AJBA%2881%29%2C_1-37..pdf http://irep.iium.edu.my/43614/4/43614_modelling_the_conditional_variance_Scopus.pdf |
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2023-09-18T21:02:08Z |
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2023-09-18T21:02:08Z |
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