Global and regional sources of risk in equity markets: Evidence from factor models with time-varying conditional skewness
We examine the influence of global and regional factors on the conditional distribution of stock returns from six Asian markets, using factor models in which unexpected returns comprise global, regional and local shocks. The models allow for conditional heteroskedasticity and time-varying conditiona...
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sg-smu-ink.soe_research-12392017-01-26T09:25:15Z Global and regional sources of risk in equity markets: Evidence from factor models with time-varying conditional skewness Hashmi, Aamir R. Tay, Anthony S. We examine the influence of global and regional factors on the conditional distribution of stock returns from six Asian markets, using factor models in which unexpected returns comprise global, regional and local shocks. The models allow for conditional heteroskedasticity and time-varying conditional skewness, and are used to measure mean, variance, and skewness spillovers. We find that incorporating time-varying conditional skewness improves the fit of our spillover models, and can alter measurements of variance spillovers. However, time-varying conditional skewness is mostly a local phenomenon; with exceptions, there is little spillover in skewness from global and regional factors. 2007-04-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/soe_research/240 info:doi/10.1016/j.jimonfin.2007.01.003 https://ink.library.smu.edu.sg/context/soe_research/article/1239/viewcontent/Hashmi_Tay_GlobalRegionsalSourceRiskEquity_15May2005.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Economics eng Institutional Knowledge at Singapore Management University Asymmetries Skewness Volatility Spillover Stock returns Asia Asian Studies Econometrics Finance |
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Asymmetries Skewness Volatility Spillover Stock returns Asia Asian Studies Econometrics Finance Hashmi, Aamir R. Tay, Anthony S. Global and regional sources of risk in equity markets: Evidence from factor models with time-varying conditional skewness |
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We examine the influence of global and regional factors on the conditional distribution of stock returns from six Asian markets, using factor models in which unexpected returns comprise global, regional and local shocks. The models allow for conditional heteroskedasticity and time-varying conditional skewness, and are used to measure mean, variance, and skewness spillovers. We find that incorporating time-varying conditional skewness improves the fit of our spillover models, and can alter measurements of variance spillovers. However, time-varying conditional skewness is mostly a local phenomenon; with exceptions, there is little spillover in skewness from global and regional factors. |
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text |
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Hashmi, Aamir R. Tay, Anthony S. |
author_facet |
Hashmi, Aamir R. Tay, Anthony S. |
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Hashmi, Aamir R. |
title |
Global and regional sources of risk in equity markets: Evidence from factor models with time-varying conditional skewness |
title_short |
Global and regional sources of risk in equity markets: Evidence from factor models with time-varying conditional skewness |
title_full |
Global and regional sources of risk in equity markets: Evidence from factor models with time-varying conditional skewness |
title_fullStr |
Global and regional sources of risk in equity markets: Evidence from factor models with time-varying conditional skewness |
title_full_unstemmed |
Global and regional sources of risk in equity markets: Evidence from factor models with time-varying conditional skewness |
title_sort |
global and regional sources of risk in equity markets: evidence from factor models with time-varying conditional skewness |
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Institutional Knowledge at Singapore Management University |
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2007 |
url |
https://ink.library.smu.edu.sg/soe_research/240 https://ink.library.smu.edu.sg/context/soe_research/article/1239/viewcontent/Hashmi_Tay_GlobalRegionsalSourceRiskEquity_15May2005.pdf |
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