The Behavior of Indonesian Stock Market: Structural Breaks and Nonlinearity

Rahmat Heru Setianto, Turkhan Ali Abdul Manap
(Submitted 1 December 2014)
(Published 12 September 2011)

Abstract


This study empirically examines the behaviour of Indonesian stock market under the efficient market hypothesis framework by emphasizing on the random walk behaviour and nonlinearity over the period of April 1983 - December 2010. In the first step, the standard linear unit root test, namely the augmented Dickey-Fuller (ADF) test, Phillip-Perron (PP) test and Kwiatkowski-Philllips-Schmidt-Shin (KPSS) test identify the random walk behaviour in the indices. In order to take account the possible breaks in the index series Zivot and Adrews (1992) one break and Lumsdaine and Papell (1997) two breaks unit root test are employed to observe whether the presence of breaks in the data series will prevent the stocks from randomly pricing or vice versa. In the third step, we employ Harvey et al. (2008) test to examine the presence of nonlinear behaviour in Indonesian stock indices. The evidence of nonlinear behaviour in the indices, motivate us to use nonlinear unit root test procedure recently developed by Kapetanios et al. (2003) and Kruse (2010). In general, the results from standard linear unit root test, Zivot and Adrews (ZA) test and Lumsdaine and Papell (LP) test provide evidence that Jakarta Composite Index characterized by a unit root. In addition, structural breaks identified by ZA and LP test are corresponded to the events of financial market liberalization and financial crisis. The nonlinear unit root test procedure fail to rejects the null hypothesis of unit root for all indices, suggesting that Jakarta Composite Index characterized by random walk process supporting the theory of efficient market hypothesis.     

Full Text: PDF

DOI: 10.22146/gamaijb.5480

References


Abadir, K. M., and W. Distaso. 2007. Testing joint hypotheses when one of the alternatives is one-sided. Journal of Economic 140: 695–718.

Abrosimova, N., G. Dissanaike, and D. Linowski. 2005. Testing the weak-form efficiency of the Russian Stock Market. Social Science Research Network (SSRN) Working Paper. http://papers.ssrn.com/ sol3/papers.cfm?abstract_id=302287.

Balke, N. S., and T. B. Fomby. 1997. Threshold Cointegration. International Economic Review 38 (3): 627-45.

Brock, W. A., and B. D. LeBaron. 1996. A dynamic structural model for stock return volatility and trading volume. The Review of Economics and Statistics 78 (1) (February): 94-110. MIT Press.

Brock, W. A., and C. H. Hommes. 1998. Heterogeneous beliefs and routes to chaos in a simple asset pricing model. Journal of Economic Dynamics and Control 22: 1235–74.

Caner, M., and B. E. Hansen. 2001. Threshold Auto regression with a Unit Root. Econometrica, Econometric Society 69 (6) (November): 1555-1596.

Chaudhuri, K., and Y. Wu. 2003. Random walk versus breaking trend in stock prices: evidence from emerging markets. Journal of Banking and Finance 27: 575–92.

Daiki, M. 2005. The term structure of interest rates with nonlinear adjustment: Evidence from a unit root test in the nonlinear STAR framework. Economics bulletin 5: 1-7.

Daiki, M. 2006. Non-linear adjustment in the term structure of interest rates: a cointegration analysis in the non-linear STAR framework. Applied Financial Economics 11: 1301-1307.

Dickey, D., and W. Fuller. 1979. Distribution of the estimators for autoregressive time series with a unit root. Journal of the American Statistical Association 74: 427–431.

Dumas, B. 1992. Dynamic equilibrium and the real exchange rate in a spatially separated world. Review of Financial Studies 5: 153–180.

Fama, E. F. 1970. Efficient capital markets: a review of theory and empirical work. Journal of Finance 25: 383–417.

Fama, E. F. 1995. Random walks in stock market prices. Finance Analyste Journal 21: 55-59. http://www.jstor.org/stable/4469865.

Fama, E. F., and K. R. French. 1988. Permanent and temporary components of stock prices. Journal of Political Economy 96 (2) (April): 246-273.

Fuss, R. 2005. Financial liberalization and stock price behaviour in Asian emerging market. Economic Change and Restructuring 38: 37-62.

Grieb, T. A., and M. G. Reyes. 1999. Random walk tests for Latin American equity indexes and individual firms. Journal of Financial Research 22: 371–83.

Groenewold, N., and M. Ariff. 1998. The Effects of de-regulation on share market efficiency in the Asia Pacific. International Economic Journal 12 (4): 23-47.

Harvey, D. I., S. J. Leybourne, and B. Xiao. 2008. A powerful test for linearity when the order of integration is unknown. Studies in Nonlinear Dynamics and Econometrics 12 (2).

Hasanov, M. 2009. Is South Korea’s Stock Market efficient? Evidence from a nonlinear unit root test. Applied Economics Letters 16: 163-167.

Hasanov, M., and T. Omay. 2007. Are the Transition Stock Markets Efficient? Evidence from Non-Linear Unit Root Tests. Central Bank Review. Central Bank of the Republic of Turkey.

Hong, H., and J. C. Stein. 1999. A unified theory of under reaction, momentum trading, and overreaction in asset markets. Journal of Finance 54: 2143–84.

Hoque, H. A. A. B., J. H. Kim, and C. S. Pyun. 2006. A Comparison of variance ratio tets of random walk: A case of Asian emerging markets. International Review of Economics and Finance.

Huang, B-N. 1995. Do Asian stock market prices follow random walks? Evidence from the variance ratio test. Applied Financial Economics 5: 251-6.

Huang, B. N., and C. W. Yang. 1995. The Fractal Structure in Multinational Stock Returns. Applied Economics Letters 2: 67-71.

Huber, P. 1997. Stock market returns in thin markets: evidence from the Vienna stock Exchange. Applied Financial Economics 7: 493-498.

Islam, A., and M. Khaled. 2005. Tests of weak-form efficiency of the Dhaka Stock Exchange. Journal of Business Finance and Accounting 32: 1613-1624.

Kapetanios, G., Y. Shin, and A. Snell. 2003. Testing for a unit root in the nonlinear STAR framework. Journal of Econometrics 112: 359–79.

Karamera, D., K. Ojah, and J. A. Cole. 1999. Random walks and market efficiency tests: Evidence from emerging equity market. Review of Quantitative Finance and Accounting 13: 171-188.

Kim, J. H., and A. Shamsuddin. 2007. Are Asian Stock Markets efficient? Evidence from new multiple variance ratio tests. Journal of Empirical Finance 15: 518 – 532.

Kruse, R., 2010. A new unit root test against ESTAR based on a class of modified statistics. Statistical Papers. DOI: 10.1007/s00362-009-0204-1.

Kwiatkowski, D., P.C.B. Phillips, P. Schmidt, and Y. Shin. 1992. Testing the null hypothesis of stationarity against the alternative of a unit root: How sure are we that economic time series have a unit root? Journal of Econometrics 54: 159 -178.

Lean, H. H., and R. Smyth. 2007. Do Asian Stock Markets follow a random walk? Evidence from LM unit root tests with one and two structural breaks. Review of Pacific Basin Financial Markets and Policies 10: 15-31.

Lee, C. C., J. D Lee, and C. C. Lee. 2010. Stock prices and the efficient market hypothesis: Evidence from a panel stationary test with structural breaks. Japan and the World Economy 22 (1) (January): 49-58.

Lee, U. 1992. Do stock prices follow random walk? Some international evidence. International Review of Economics and Finance 1 (4): 315-27.

Lo, A. W., and A. C. MacKinlay. 1988. Stock market prices do not follow random walks: Evidence from a simple specification test. The Review of Financial Studies 1 (1): 41-66.

Luukkonen, R., P. Saikkonen, and T. Terasvirta. 1988. Testing linearity against smooth transition autoregressive models. Biometrika 75: 491–9.

Lumsdaine, R., and D. Papell. 1997. Multiple trend breaks and the unit-root hypothesis. Review of Economics and Statistics 79: 212–218.

MacKinnon, J. 1991. Critical values for cointegration tests. In: Engle R,Granger C. (eds) Long-Run Economic Relationships: Readings in Cointegration. Oxford University Press, Oxford: 267–276.

Michael, P., R. A. Nobay, and D. A. Peel. 1997. Transaction costs and nonlinear adjustment in real exchange rates: an empirical investigation. Journal of Political Economy 105: 862–79.

Mishkin, F. S. 2004. The Economics of Money, Banking, and Financial Market (7th ed.). USA: The Addison-Wesley series in economics.

Mobarek, A., and K. Keasey. 2002. Weak-form market efficiency of and emerging market: Evidence from Dhaka Stock Market of Bangladesh. E-document. Retrieved October 26, from: http://www.bath.ac.uk/centers/ CDS/Enbs-papers/Mobarek_new.htm.

Moustafa, M. A. 2004. Testing the weak-form efûciency of the United Arab Emirates Stock Market. International Journal of Business 9 (3).

Munir, Q., and K. Mansur. 2009. Is Malaysian Stock Market efficient? Evidence from threshold unit root tests. Economics Bulletin 29 (2): 1359-1370.

Narayan, P. K. 2005. Are the Australian and New Zealand stock prices nonlinear with a unit root? Applied Economics 37: 2161-2166.

Narayan, P. K. 2008. Do shocks to G7 stock prices have a permanent effect? Evidence from panel unit root tests with structural change. Mathematics and Computers in Simulation 77: 369-373.

Narayan, P. K., and R. Smyth. 2004. Is South Korea’s stock market efficient? Applied Economics Letters 11: 707-710.

Narayan, P. K., and R. Smyth. 2005. Exchange rates and stock prices in South Asia: Evidence from Granger causality tests. ICFAI Journal of Applied Finance 11: 31-37.

Nelmida., N., M. Annuar, and T. Hassan. 2009. The impact of new information regime on the Jakarta Stock Exchange. International Research Journal of Finance and Economics (3). ISSN 1450-2887.

Ojah, K., and D. Karemera. 1999. Random walk and market efficiency tests of Latin American emerging equity markets: A revisit. The Financial Review (34) (2): 57-72.

Ozdemir, Z. A. 2008. Efficient market hypothesis: evidence from a small open-economy. Applied Economics 40: 633–641.

Perron, P. 1989. The great crash, the oil price shock and the unit root hypothesis. Econometrica 57: 1361–401.

Peters, E. E. 1994. Fractal Market Analysis: Applying Chaos Theory to Investment and Economics. John Wiley and Sons.

Phillips, P. C.B., and P. Perron. 1988. Testing for a unit root in time series regression. Biometrika 75: 335-346.

Poshakwale, S. 1996. Evidence on weak form efficiency and day of the week effect in the Indian Stock Market. Finance India X (3): 605-616.

Poterba, J. M., and L. H. Summers. 1988. Mean reversion in stock prices: Evidence and implications. Journal of Financial Economics 22 (1): 27-59.

Qian, X. Y., F. T. Song, and W. X. Zhou. 2008. Nonlinear behaviour of the Chinese SSEC index with a unit root: Evidence from threshold unit root tests. Physica A (387): 503-510.

Shively, P. A. 2003. The nonlinear dynamics of stock prices. The Quarterly Review of Economics and Finance 43: 505–517.

Shleifer, A. 2000. Inefficient Markets. An Introduction to Behavioural Finance, Clarendon Lectures in Economics. Oxford: Oxford University Press.

TerSasvirta, T. 1994. Specifcation, estimation and evaluation of smooth transition autoregressive models. Journal of the American Statistical Association 89: 208–218.

Urrutia, J. L. 1995. Test of random walk and market efficiency for Latin American emerging equity markets. Journal of Financial Research 18: 299-309.

Zivot, E., and D.W. K. Andrews. 1992. Further evidence on the great crash, the oil-price shock and the unit root hypothesis. Journal of Business and Economic Statistics 10: 251-70.

Zulfadin, R. 2008. Random walk hypothesis test: An aplication of linear and non-linear test on Indonesia Stock Market indices. Jurnal Keuangan dan Moneter 11 (1).


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