Journal of Finance and Economics
ISSN (Print): 2328-7284 ISSN (Online): 2328-7276 Website: http://www.sciepub.com/journal/jfe Editor-in-chief: Suman Banerjee
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Journal of Finance and Economics. 2017, 5(3), 105-117
DOI: 10.12691/jfe-5-3-3
Open AccessArticle

Modelling Co-movement of Different Sectors in Dhaka Stock Exchange (DSE) Using Asymmetric BVAR-GARCH Models

Abdul Hannan Chowdhury1, and Mohammad Kamrul Arefin1

1Faculty of Business Administration, Eastern University, Dhaka, Bangladesh

Pub. Date: April 19, 2017

Cite this paper:
Abdul Hannan Chowdhury and Mohammad Kamrul Arefin. Modelling Co-movement of Different Sectors in Dhaka Stock Exchange (DSE) Using Asymmetric BVAR-GARCH Models. Journal of Finance and Economics. 2017; 5(3):105-117. doi: 10.12691/jfe-5-3-3

Abstract

This paper tries to investigate the financial shock transmission dynamics using daily return data under different sectors traded in Dhaka Stock Exchange (DSE). Bayesian VAR model was used as conditional mean in GJR-GARCH, scalar-diagonal VECH and BEKK GARCH models to test return and volatility spillover effects. Lagged squared residuals and lagged conditional variances were used as variance regressors in conditional variance of GJR-GARCH to test the spillover effects. Finding reveals a highly significant memory effect on all sector returns except one. Asymmetric versions of GARCH, VECH and BEKK identified significant effect of news about volatility, past memory and differential effect of bad news on conditional volatility of almost all series. GJR-GARCH results identified pharmaceutical sector spillover free yet all other pairs were found to be unidirectional or in some cases bidirectional. Co-volatility among almost all sectors is also observed from VECH and BEKK output.

Keywords:
volatility spillover return spillover Bayesian VAR GJR-GARCH VECH BEKK DSE

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References:

[1]  Agren, M., “Does Oil Price Uncertainty Transmit To Stock Markets?” Working Paper No.23: Department of Economics, Uppsala University, 2006.
 
[2]  Alam, M. Z., Siddikee, M. N., and Masukujjaman, M, “Forecasting Volatility of Stock Indices with ARCH Model,” International Journal of Financial Research, 4(2). 126-143. Apr. 2013.
 
[3]  Aziz, M. S. I., and Uddin, M. N, “Volatility Estimation in the Dhaka Stock Exchange (DSE) returns by GARCH models,” Asian Business Review, 4(1). 41-49. Feb. 2015.
 
[4]  Baba, Y., Engle, R. F., Kraft, D. F. and Kroner, K. F, “Mulitvariate Simultaneous Generalized ARCH,” MIMEO, Department of Economics, University of California, San Diego, 1990.
 
[5]  Basher, S. A., Hassan, M. K. and Islam, A. M, “Time-varying Volatility and Equity Returns in Bangladesh Stock Market,” Applied Financial Economics, 17(17). 1393-1407. Nov. 2007.
 
[6]  Bhar, R., and Nikolova, B, “Oil Prices and Equity Returns in the BRIC Countries,” The World Economy, 32(7). 1036-1054. Jul. 2009.
 
[7]  Bollerslev, T., Chou, R. Y., and Kroner, K. F, “ARCH Modelling in Finance,” Journal of Econometrics, 52(1-2). 5-59. Apr. 1992.
 
[8]  Bollerslev, T., Engle, R.F. and Wooldridge, J. M, “A Capital Asset Pricing Model with Time Varying Covariances,” Journal of Political Economy, 96(1). 116-131. Feb. 1988.
 
[9]  Brooks, C., Introductory Econometrics for Finance, Cambridge University Press, Second edition, 2008.
 
[10]  Dickey, D. A. and Fuller, W. A, “Distribution of the Estimators for Autoregressive Time Series with a Unit Root,” Journal of the American Statistical Association, 74(366a). 427-431. 1979.
 
[11]  Dickey, D. A. and Fuller, W. A,“ Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root,” Econometrica: Journal of the Econometric Society, 1057-1072. Jul. 1981.
 
[12]  Gatfaoui, H., “Translating Financial Integration into Correlation Risk: A Weekly Reporting's Viewpoint for the Volatility Behavior of Stock Markets,” Economic Modelling, 30. 776-791. Jan. 2013.
 
[13]  Glosten, L. R., Jagannathan, R., and Runkle, D. E, “On the Relation Between the Expected Value and the Global Volatility of the Nominal Excess Return on Stocks,” The Journal of Finance, 48(5). 1779-1801. Dec. 1993.
 
[14]  Huq, M. M., Rahman, M. M., Rahman, M. S., Shahin, M. A. and Ali, M. A, “Analysis of Volatility and Forecasting General Index of Dhaka Stock Exchange,” American Journal of Economics, 3(5). 229-242. 2013.
 
[15]  Islam, M. A., Islam, M. R., and Siddiqui, M. H, “Stock Market Volatility: Comparison between Dhaka Stock Exchange and Chittagong Stock Exchange,” International Journal of Economics Finance and Management Sciences, 2(1). 43-52. 2014.
 
[16]  Islam, M., Munira, S., Roy, R., and Khan, M. S, “Performance Measurement of Some Selected Companies of Dhaka Stock Exchange by GARCH Family,” Journal of Mathematics and Informatics, 5. 57-61. 2016.
 
[17]  Iwatsubo, K., Inagaki, K., “Measuring Financial Market Contagion using Dually-Trade Stocks of Asian Firms,” Journal of Asian Economics, 18(1). 217-236. Feb. 2007.
 
[18]  Jarque, C. M., and Bera, A. K, “A Test for Normality of Observations and Regression Residuals,” International Statistical Review, 55(2). 163-172. Aug. 1987.
 
[19]  Joshi, P, “Return and Volatility Spillovers Among Asian Stock Markets,” Sage Open Journal, 1(1). Jun. 2011.
 
[20]  Kang, S. H. and Yoon, S. M, “The Global Financial Crisis and the Integration of Emerging Stock Markets in Asia,” Journal of East Asian Economic Integration, 15(4). 49-71. 2011.
 
[21]  Koop, G., Poirer, D. J., and Tobias, J. L, Bayesian Econometric Methods, Cambridge University Press, 2007.
 
[22]  Kroner, K. F. and Ng, V. K, “Modelling Asymmetric Comovements of Asset Returns,” Review of Financial Studies, 11(4), 817-844. Oct. 1998.
 
[23]  Litterman, R. B, “Techniques of Forecasting using Vector Autoregressions,” Working Paper-Federal Reserve Bank of Minneapolis, 115. 1979.
 
[24]  Litterman, R. B, “A Bayesian Procedure for Forecasting with Vector Autoregression,” Working Paper- Massachusetts Institute of Technology, Department of Economics. 1980.
 
[25]  Liu, H. C. and Hung, J. C, “Forecasting S&P-100 Stock Index Volatility: The Role of Volatility Asymmetry and Distributional Assumption in GARCH Models,” Expert Systems With Applications, 37(7). 4928-4934. Jul. 2010.
 
[26]  Miah, M. and Rahman, A, “Modelling Volatility of Daily Stock Returns: Is GARCH(1,1) Enough?” American Scientific Research Journal for Engineering, Technology, and Sciences (ASRJETS), 18(1), 29-39. Mar. 2016.
 
[27]  Mollik, A. T and Bepari, M. K, “Feedback Trading Behavior in Dhaka Stock Exchange (DSE), Bangladesh,” International Review of Business Research Papers, 9(5). 154-168. Sep. 2013.
 
[28]  Morales, L. and Gassie, E, “Structural Breaks and Financial Volatility: Lessons from BRIC Countries,” Unpublished. 2011.
 
[29]  Nekhili, R. and Muhammad, N, “Volatility Spillovers among the Gulf Arab Emerging Markets,” China-USA Business Review, 9(4). 25-32. Apr. 2010.
 
[30]  Rahman, M. M., Zhu, J. P., and Rahman, M. S, “Impact Study of Volatility Modeling of Bangladesh Stock Index using Non-normal Density,” Journal of Applied Statistics, 35(11). 1277-1292. Nov. 2008.
 
[31]  Rayhan, M. A., Sarker, S. A. M. E., and Sayem, S. M, “The Volatility of Dhaka Stock Exchange (DSE) Returns: Evidence and Implications,” ASA University Review, 5(2). 87-99. Jul. 2011.
 
[32]  Saleem, K., Collan, M., Ahmed, S., and Gyasi, A. K, “Market Integration, Return and Volatility Dynamics: Empirical Evidence from African Stock Markets,” International Business Research, 7(9), 30-44. Aug. 2014.
 
[33]  Sharpe, W. F, “Capital Asset Prices: A Theory of Market Equilibrium under Conditions of Risk,” The Journal of Finance, 19(3). 425-442. Sep. 1964.
 
[34]  Siddikee, M. N. and Begum, N. N, “Volatility of Dhaka Stock Exchange,” International Journal of Economics and Finance, 8(5). 220-229. Apr. 2016.