On The Forecastability Of Asean-5 Stock Markets Returns Using Time Series Models
AbstractThis study examines the forecastability of ASEAN-5 stock market returns using linear and non-linear time series models. Time series models with GARCH errors are also considered. Based on formal econometrics tests, this study shows that the behaviour of these returns do not follow random walk movement. Results of this study also reveal that all the estimated time series models, both linear and non-linear, have smaller out-of-sample forecast errors than the random walk model. These two findings robustly indicate that returns of ASEAN-5 stock markets do not follow random walk movement and are forecastable. Thus, this study can be taken as providing justification for the work of technical analysts.
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Bibliographic InfoPaper provided by EconWPA in its series Finance with number 0307012.
Date of creation: 23 Jul 2003
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Random walk; Time series models; Autoregressive; Smooth Transition Autoregressive; GARCH; Forecasting; ASEAN-5 stock markets.;
Find related papers by JEL classification:
- G - Financial Economics
This paper has been announced in the following NEP Reports:
- NEP-ALL-2003-07-29 (All new papers)
- NEP-CFN-2003-07-29 (Corporate Finance)
- NEP-ECM-2003-08-01 (Econometrics)
- NEP-ETS-2003-07-29 (Econometric Time Series)
- NEP-FIN-2003-07-29 (Finance)
- NEP-FMK-2003-07-29 (Financial Markets)
- NEP-RMG-2003-07-29 (Risk Management)
- NEP-SEA-2003-07-29 (South East Asia)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Zhen Zhu, 1998. "The random walk of stock prices: evidence from a panel of G-7 countries," Applied Economics Letters, Taylor and Francis Journals, vol. 5(7), pages 411-413.
- Nelson, Daniel B, 1991. "Conditional Heteroskedasticity in Asset Returns: A New Approach," Econometrica, Econometric Society, vol. 59(2), pages 347-70, March.
- Terasvirta, T & Anderson, H M, 1992. "Characterizing Nonlinearities in Business Cycles Using Smooth Transition Autoregressive Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 7(S), pages S119-36, Suppl. De.
- Baillie, Richard T. & Bollerslev, Tim & Mikkelsen, Hans Ole, 1996.
"Fractionally integrated generalized autoregressive conditional heteroskedasticity,"
Journal of Econometrics,
Elsevier, vol. 74(1), pages 3-30, September.
- Tom Doan, . "RATS programs to replicate Baillie, Bollerslev, Mikkelson FIGARCH results," Statistical Software Components RTZ00009, Boston College Department of Economics.
- E. Dockery & M. G. Kavussanos, 1996. "Testing the efficient market hypothesis using panel data, with application to the Athens stock market," Applied Economics Letters, Taylor and Francis Journals, vol. 3(2), pages 121-123.
- Fama, Eugene F & French, Kenneth R, 1988. "Permanent and Temporary Components of Stock Prices," Journal of Political Economy, University of Chicago Press, vol. 96(2), pages 246-73, April.
- Glosten, Lawrence R & Jagannathan, Ravi & Runkle, David E, 1993.
" On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks,"
Journal of Finance,
American Finance Association, vol. 48(5), pages 1779-1801, December.
- Lawrence R. Glosten & Ravi Jagannathan & David E. Runkle, 1993. "On the relation between the expected value and the volatility of the nominal excess return on stocks," Staff Report 157, Federal Reserve Bank of Minneapolis.
- Yokuma, J. Thomas & Armstrong, J. Scott, 1995. "Beyond accuracy: Comparison of criteria used to select forecasting methods," International Journal of Forecasting, Elsevier, vol. 11(4), pages 591-597, December.
- Taylor, Mark P. & Allen, Helen, 1992. "The use of technical analysis in the foreign exchange market," Journal of International Money and Finance, Elsevier, vol. 11(3), pages 304-314, June.
- Christopher F. Baum & Mustafa Caglayan & John Barkoulas, 1998.
"Nonlinear Adjustment to Purchasing Power Parity in the post-Bretton Woods Era,"
Boston College Working Papers in Economics
404., Boston College Department of Economics, revised 16 Nov 1999.
- Baum, Christopher F. & Barkoulas, John T. & Caglayan, Mustafa, 2001. "Nonlinear adjustment to purchasing power parity in the post-Bretton Woods era," Journal of International Money and Finance, Elsevier, vol. 20(3), pages 379-399, June.
- Zakoian, Jean-Michel, 1994. "Threshold heteroskedastic models," Journal of Economic Dynamics and Control, Elsevier, vol. 18(5), pages 931-955, September.
- Brock, William & Lakonishok, Josef & LeBaron, Blake, 1992.
" Simple Technical Trading Rules and the Stochastic Properties of Stock Returns,"
Journal of Finance,
American Finance Association, vol. 47(5), pages 1731-64, December.
- Brock, W. & Lakonishok, J. & Lebaron, B., 1991. "Simple Technical Trading Rules And The Stochastic Properties Of Stock Returns," Working papers 90-22, Wisconsin Madison - Social Systems.
- Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
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