Volume 7, Issue 25 (10-2016)                   jemr 2016, 7(25): 69-90 | Back to browse issues page


XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Soleyman S, Falahati A, Rostami A. Permanent and Temporary Components of Stock Returns: an Application of State-Space Models with Markov Switching Heteroskedasticity. jemr 2016; 7 (25) :69-90
URL: http://jemr.khu.ac.ir/article-1-885-en.html
1- , Alifalahati@yahoo.com
Abstract:   (6802 Views)

In this study by using Markov Regime Switching Heteroscedasticity Models (MRSH) in the form of state-space model the behavior of stock returns is examined. This approach endogenously permits the volatility to switch as the date and regime change and allows us to decompose the permanent and transitory component of stock returns. The period of the study is the fourth month of 2000 to the seventh month of 2013. The durations of the high-variance regimes for permanent components short-lived and revert to normal levels quickly and low variance regime for this components is more lasting, but durations of high-variance regime for transitory component is reverse. Also, in during periods of study low variance regime is dominant by a permanent component of stock returns but for the transitory component the high variance state is true captured.

Full-Text [PDF 3180 kb]   (2792 Downloads)    
Type of Study: بنیادی | Subject: پولی و مالی
Received: 2013/12/1 | Accepted: 2016/11/16 | Published: 2016/12/19

References
1.  Andersen, T.G. and Bollerslev, T., 1997, Heterogeneous information arrivals and return volatility dynamics: uncovering the long-run in high frequency returns, Journal of Finance 52, 3, 975–1005.
2.  Bhar, R. and Hamori, S. 2004. Empirical characteristics of the permanent and transitory components of stock returns: Analysis in a Markov - switching heteroscedasticity framework. Economic letters, forthcoming.
3.  Campbell, J. Y and Mankiew, N. G. 1987.Are output fluctuation transitory? Quarterly Journal of Economics102, 857- 880.
4. ♣ Chen, S-W, and Shen, C-H. 2012. Examining the stochastic behavior of REIT returns: Evidence from the regime switching approach. Economic Modelling 29 (2012) 291–298.
5.  Clark, P. K. 1987.The cyclical component of the US economic activity, Quarterly Journal of conomics102, 797- 814.
6.  De L ond, J. B., Shleifer, A. , L. H., Summes, L. H. and Waldmann, R. J., 1990. Noise trader risk in financial markets. Journal of political economy , 98, 703- 738.
7.  Engle, R. F., and Lee, G., 1993, A Permanent and Transitory Component Model of Stock Return Volatility, Discussion Paper 92-44, University of California, San Diego, Dept. of Economics.
8.  Fama, E. F. and French, K. R. 1988. Permanent and temporary components of stock prices. Journal of political economy , 96, 246- 273.
9.  Fattahi, Sh. et al., (2012), "Reviewing Random Walk Hypothesis in Tehran Stock Exchange variance ratio test-based approach " , Journal of Accounting and Auditing Reviews, Vol 19, Issue 3, pp 98-79.
10.  Fadaei, N., I. et al., (2009), "Non-linear mean reversion in stock prices", Journal of Management perspective , No 33, pp. 158-143 .
11.  Goudarzi, A.,H., (2008), "Using the Kalman filter to predict the currency market", master's thesis, Tehran University, Faculty of Economics.
12.  Friedman, B., Laibson, D., 1989, Economic implications of extraordinary movements in stock prices, Brookings Paperson Economic Activity, 2, 137–189.
13.  Lashgari, Z. & Jadidi, A.,Sh (2010), "Investigation the relationship between accounting variables and stock returns based on classify of industry in companies listed on Tehran Stock Exchange ", Financial Accounting and Auditing Journal, Vol 2, Issue 5, pp. 40-1.
14.  Hammoudeh, S., Choi, K., 2007. Characteristics of permanent and transitory returns in oil-senstitive emerging stock markets: the case of GCC countries. Journal of International Financial Markets, Institutions and Money 17, 231–245.
15.  Karunaratne, N.D., Bhar, R. 2011.Regime-shifts and post-float inflation dynamics of Australia. Economic Modelling28 , 1941–1949
16.  Kim, C. J. 1993. Unobserved- component time series models with Markov - switching: Changes in regime and the link between inflation rates and inflation uncertainty. Journal of Business and Economic Statistics 11, 341- 349.
17.  Kim, C.J., and Kim, M. J. 1996.Transient fads and the crash of '87. Journal of Applied Econometrics 11, 41- 58.
18.  Kim, C. J., and Nelson, C. R. 1999. State Space Models with Regime Switching, Classical and Gibbs Sampling Approach with Application. The MIT Press, Cambridge, MA.
19.  Maheu, J.M. and McCurdy, T.H, 2004, News Arrival, Jump Dynamics, and Volatility Components for Individual Stock Returns, Journal of Finance, American Finance Association, 59, 2, 755-793.
20.  Muller U. A., Dacorogna M. M., Dave R. D., Olsen R. B., Pictet O. V. and von Weizsacker J. E., 1997, Volatilities of different time: Resolutions-analyzing the dynamics of market components, Journal of Empirical Finance, 4, 213-239.
21.  Nelsson, C. R., and Plosser, C. I. 1982.Trends and Random walks in macroeconomic time series: some evidence and implications. Journal of Monetary Economics 10, 139-162.
22.  Park, J-H, Nam, S-K, and Eom, K S, 2007, Market efficiency in KOSDAQ: A volatility comparison between main boards and new markets using a permanent and transitory component model, Asia-Pacific Journal of Financial Studies
23.  Tauchen, G., 2004, Stochastic Volatility in General Equilibrium, Working Paper, Duke University.
24.  Tehrani, R. et al., (2008), "Reviewing the existence of mean-reversion phenomenon in TSE using the variance ratio test", Journal of Accounting and Auditing Reviews, Vol 54, pp 17-32.

Add your comments about this article : Your username or Email:
CAPTCHA

Send email to the article author


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2024 CC BY-NC 4.0 | Journal of Economic Modeling Research

Designed & Developed by : Yektaweb