Markov Switching Heteroscadasticity Model of Stock Return: A Test

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Amaresh Das
Amaresh Das
1 University of New Orleans

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This paper applies the Markov switching heteroscedasticity model to stock return for India. The Markov switching model in our study takes into account the chance of regime shift, a possibility outside the purview of the GARCH model. Our finding tells us that the high variance of the transitory component tends to be short lived.

14 Cites in Articles

References

  1. Andrew Ang,Geert Bekaert (2007). Stock Return Predictability: Is it There?.
  2. D Backus,A Gregory (1993). Theoretical Relations between Risk Premium and Conditional Variancres.
  3. A Goyal,I Welch (2008). A Cmprehensive Look at the Empirical Performance of Equity Premium Prediction.
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  7. C Kim,C Neslson (1999). State-Space Models with Markov Switching and Gibbs-Sampling.
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  9. A Rossi,A Timmermann (2011). What is the Shape of the Risk-Return Relation? Working paper.
  10. L Spierdijk,J Bikker,P Van Den Hoek (2012). Mean Reversion in InternationalStock Markets: An Empirical Analysis of the 20th Century.
  11. Lawrence Summers (1986). Does the Stock Market Rationally Reflect Fundamental Values?.
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  14. R Whiteli (2000). Stock Market Risk and Return: An Equilibrium Approach.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

Amaresh Das. 2016. \u201cMarkov Switching Heteroscadasticity Model of Stock Return: A Test\u201d. Global Journal of Science Frontier Research - I: Interdisciplinary GJSFR-I Volume 16 (GJSFR Volume 16 Issue I2): .

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Journal Specifications

Crossref Journal DOI 10.17406/GJSFR

Print ISSN 0975-5896

e-ISSN 2249-4626

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GJSFR-I Classification: FOR Code: 140399
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v1.2

Issue date

November 6, 2016

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English

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This paper applies the Markov switching heteroscedasticity model to stock return for India. The Markov switching model in our study takes into account the chance of regime shift, a possibility outside the purview of the GARCH model. Our finding tells us that the high variance of the transitory component tends to be short lived.

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Markov Switching Heteroscadasticity Model of Stock Return: A Test

Amaresh Das
Amaresh Das University of New Orleans

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