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Co-integration and Causality Analysis on Developed Asian Markets For Risk Management & Portfolio Selection

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  • Herwany, Aldrin
  • Febrian, Erie

Abstract

Both practitioners and academicians demand a linkage model across financial markets, particularly among regional capital markets, for both risk management and portfolio selection purposes. Researchers frequently use co-integration and causality analysis in investigating the dependence or co-movement of three or more stock markets in different countries. However, they conducted the causality in mean tests but not the causality in variance tests. This study assesses the co-integration and causal relations among seven developed Asian markets, i.e Tokyo, Hongkong, Korea, Taiwan, Shanghai, Singapore, and Kuala Lumpur stock exchanges, using more frequent time series data. It employs the recently developed techniques for investigating unit roots, co-integration, time-varying volatility, and causality in variance. For estimating portfolio market risk, this study employs Value-at-Risk with delta-normal approach. The results show whether fund managers would be able to diversify their portfolio in these developed stock markets either in long run or short run.

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Bibliographic Info

Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 10259.

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Date of creation: 27 Aug 2008
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Handle: RePEc:pra:mprapa:10259

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Keywords: Risk Management; Causality; Co-integration; Asian Stock Markets;

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Cited by:
  1. Canegrati, Emanuele, 2008. "In Search of Market Index Leaders: Evidence from World Financial Markets," MPRA Paper 11292, University Library of Munich, Germany.
  2. Canegrati, Emanuele, 2008. "In Search of Market Index Leaders: Evidence from Asian Markets," MPRA Paper 11246, University Library of Munich, Germany.

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