International economic policy uncertainty and stock market returns of Bangladesh: evidence from linear and nonlinear model

Md Akther Uddin; Mohammad Enamul Hoque; Md Hakim Ali; Md Akther Uddin; Mohammad Enamul Hoque; Md Hakim Ali

doi:10.3934/QFE.2020011

Quantitative Finance and Economics

2020, Volume 4, Issue 2: 236-251. doi: 10.3934/QFE.2020011

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Research article

International economic policy uncertainty and stock market returns of Bangladesh: evidence from linear and nonlinear model

1.
School of Business, University of Creative Technology, Chittagong, Bangladesh
2.
Graduate School of Business, Universiti Kebangsaan Malaysia, Bangi, Malaysia
3.
Taylor’s Business School, Taylor’s University, Subang Jaya, Malaysia

Received: 06 February 2020 Accepted: 08 April 2020 Published: 13 April 2020
JEL Codes: C58, E32, E37, E44, E52, E62, F50, F65, G10

This paper explores the relationship between international economic policy uncertainty (EPU) and stock market return of Bangladesh. The study considers economic policy uncertainty of six big trading partners of Bangladesh: US, Canada, EU, China, Russia, and India. We apply time-varying linear (Break-least Square) and non-linear (Markov-Switching) regression approaches by using monthly data from January 2003 to April 2019. Our findings indicate the following. Firstly, The break-least square captured four structural breaks in the capital market of Bangladesh. Secondly, economic policy uncertainty from major importing countries (China and India) affect stock market returns of Bangladesh more significantly than major exporting countries (US and EU). Thirdly, EPU has a greater negative influence on stock returns during high volatility than low volatility regime. A number of policy measures have been recommended.
- economic policy uncertainty (EPU),
- emerging stock market,
- contagion,
- non-linear time-series econometrics
Citation: Md Akther Uddin, Mohammad Enamul Hoque, Md Hakim Ali. International economic policy uncertainty and stock market returns of Bangladesh: evidence from linear and nonlinear model[J]. Quantitative Finance and Economics, 2020, 4(2): 236-251. doi: 10.3934/QFE.2020011

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Abstract

This paper explores the relationship between international economic policy uncertainty (EPU) and stock market return of Bangladesh. The study considers economic policy uncertainty of six big trading partners of Bangladesh: US, Canada, EU, China, Russia, and India. We apply time-varying linear (Break-least Square) and non-linear (Markov-Switching) regression approaches by using monthly data from January 2003 to April 2019. Our findings indicate the following. Firstly, The break-least square captured four structural breaks in the capital market of Bangladesh. Secondly, economic policy uncertainty from major importing countries (China and India) affect stock market returns of Bangladesh more significantly than major exporting countries (US and EU). Thirdly, EPU has a greater negative influence on stock returns during high volatility than low volatility regime. A number of policy measures have been recommended.

References

[1]	Alqahtani A, Miguel M (2020) US Economic Policy Uncertainty and GCC Stock Market. Asia-Paci Financ Markets, 1-11.
[2]	Anagnostidis P, Emmanouilides CJ (2015) Nonlinearity in high-frequency stock returns: Evidence from the Athens Stock Exchange. Phys A 421: 473-487. doi: 10.1016/j.physa.2014.11.056
[3]	Andreou E, Ghysels E (2002) Detecting multiple breaks in financial market volatility dynamics. J Appl Econometrics 17: 579-600. doi: 10.1002/jae.684
[4]	Andrews DW, Ploberger W (1994) Optimal tests when a nuisance parameter is present only under the alternative. Econometrica J Econometric Society, 1383-1414. doi: 10.2307/2951753
[5]	Andrews DW (1993) Tests for parameter instability and structural change with unknown change point. Econometrica J Econometric Society, 821-856. doi: 10.2307/2951764
[6]	Apergis N, Bonato M, Gupta R, et al. (2018) Does geopolitical risks predict stock returns and volatility of leading defense companies? Evidence from a nonparametric approach. Def Peace Econ 29: 684-696.
[7]	Arouri M, Estay C, Rault C, et al. (2016) Economic policy uncertainty and stock markets: Long-run evidence from the US. Financ Res Lett 18: 136-141. doi: 10.1016/j.frl.2016.04.011
[8]	Arouri M, Roubaud D (2016) On the determinants of stock market dynamics in emerging countries: the role of economic policy uncertainty in China and India. Econ Bull 36: 760-770.
[9]	Bahmani-Oskooee M, Saha S (2019) On the Effects of Policy Uncertainty on Stock Prices. J Econ Financ. [In press].
[10]	Bahmani-Oskooee M, Sujata S (2019) On the effects of policy uncertainty on stock prices: an asymmetric analysis. Quant Financ Econ 3: 412-424. doi: 10.3934/QFE.2019.2.412
[11]	Bai J, Perron P (1998) Estimating and testing linear models with multiple structural changes. Econometrica, 47-78. doi: 10.2307/2998540
[12]	Bai J, Perron P (2003) Computation and analysis of multiple structural change models. J Appl Econometrics 18: 1-22. doi: 10.1002/jae.659
[13]	Baker SR, Bloom N, Canes-Wrone B, et al. (2014) Why has US policy uncertainty risen since 1960? Am Econ Rev 104: 56-60. doi: 10.1257/aer.104.5.56
[14]	Baker SR, Bloom N, Davis SJ (2016) Measuring economic policy uncertainty. Q J Econ 131: 1593-1636. doi: 10.1093/qje/qjw024
[15]	Balcilar M, Bekiros S, Gupta R (2017) The role of news-based uncertainty indices in predicting oil markets: a hybrid nonparametric quantile causality method. Empirica Econ 53: 879-889. doi: 10.1007/s00181-016-1150-0
[16]	Balcilar M, Gupta R, Kyei C, et al. (2016) Does economic policy uncertainty predict exchange rate returns and volatility? Evidence from a nonparametric causality-in-quantiles test. Open Econ Rev 27: 229-250.
[17]	Banerjee PK, Ahmed MN, Hossain MM (2017) Bank, stock market and economic growth: Bangladesh perspective. J Dev Areas 51: 17-29. doi: 10.1353/jda.2017.0028
[18]	Barberis N, Shleifer A, Vishny R (1998) A model of investor sentiment. J Financ Econ 49: 307-343. doi: 10.1016/S0304-405X(98)00027-0
[19]	Basher SA, Hassan MK, Islam AM (2007) Time-varying volatility and equity returns in Bangladesh stock market. Appl Financ Econ 17: 1393-1407. doi: 10.1080/09603100600771034
[20]	Basher SA, Haug AA, Sadorsky P (2018) The impact of oil-market shocks on stock returns in major oil-exporting countries. J Int Money Financ 86: 264-280. doi: 10.1016/j.jimonfin.2018.05.003
[21]	Bekaert G, Ehrmann M, Fratzscher M, et al. (2014) The global crisis and equity market contagion. J Financ 69: 2597-2649. doi: 10.1111/jofi.12203
[22]	Bekaert G, Harvey CR, Lundblad CT (2003) Equity market liberalization in emerging markets. J Financ Res 26: 275-299. doi: 10.1111/1475-6803.00059
[23]	Blanchard O, Dell'Ariccia G, Mauro P (2010) Rethinking macroeconomic policy. J Money Credit Bank 42: 199-215. doi: 10.1111/j.1538-4616.2010.00334.x
[24]	Choi S, Furceri D (2019) Uncertainty and cross-border banking flows. J In Money Financ 93: 260-274. doi: 10.1016/j.jimonfin.2019.01.012
[25]	Chung KH, Chuwonganant C (2018) Market volatility and stock returns: The role of liquidity providers. J Financ Markets 37: 17-34. doi: 10.1016/j.finmar.2017.07.002
[26]	Guo P, Zhu H, You W (2018) Asymmetric dependence between economic policy uncertainty and stock market returns in G7 and BRIC: A quantile regression approach. Financ Res Lett 25: 251-258. doi: 10.1016/j.frl.2017.11.001
[27]	Hamilton JD (1989) A new approach to the economic analysis of nonstationary time series and the business cycle. Econometrica: J Econometric Society, 357-384. doi: 10.2307/1912559
[28]	Hamilton JD (2010) Regime switching models, In Macroeconometrics and time series analysis, Palgrave Macmillan UK, 202-209.
[29]	Hassan MK, Chowdhury SSH (2008) Efficiency of Bangladesh stock market: evidence from monthly index and individual firm data. Appl Financ Econ 18: 749-758. doi: 10.1080/09603100701320178
[30]	Hoque ME, Zaidi AS (2020) Impacts of Global Economic Policy Uncertainty 0n Emerging Stock Markets: Evidence From Linear and Non-Linear Models. Prague Econ Pap, 1-12.
[31]	Hoque ME, Zaidi MAS (2019) The impacts of global economic policy uncertainty on stock market returns in regime switching environment: Evidence from sectoral perspectives. Int J Financ Econ 24: 991-1016. doi: 10.1002/ijfe.1702
[32]	Islam KM, Ahmed SF (2015) Stock market crash and stock return volatility: empirical evidence from Dhaka stock exchange. Bangladesh Dev Stud 38: 25-34.
[33]	Islam MS (2012) China-Bangladesh relations: contemporary convergence. Daily Star 25.
[34]	Islam MS, Islam MR (2011) Demutualization: Pros and Cons for Dhaka Stock Exchange (DSE). Eur J Bus Manage 3: 24-33.
[35]	Janina E, Markus W, Rudi Z (2018) Forecasting turbulence in the Asian and European stock market using regime-switching models. Quant Financ Econ 2: 388-406. doi: 10.3934/QFE.2018.2.388
[36]	JulioB, Yook Y (2016) Policy uncertainty, irreversibility, and cross-border flows of capital. J Int Econ 103: 13-26. doi: 10.1016/j.jinteco.2016.08.004
[37]	Li R, Sufang L, Di Yuan, et al. (2020) Does economic policy uncertainty in the US influence stock markets in China and India? Time-frequency evidence. Appl Econ, 1-17.
[38]	Li X, Mehmet B, Rangan G, et al. (2016) The causal relationship between economic policy uncertainty and stock returns in China and India: evidence from a bootstrap rolling window approach. Emerging Markets Financ Trade 52: 674-689. doi: 10.1080/1540496X.2014.998564
[39]	Mahmud N (2019) Chinese consortium in DSE: Performance not as per expectation after a year. Dhaka Tribune. Retrieved on 5^th October, 2019 . Available from: https://www.dhakatribune.com/business/stock/2019/05/13/chinese-consortium-in-dse-performance-not-as-per-expectation-after-a-year
[40]	Manni UH, Afzal MNI (2012) Effect of trade liberalization on economic growth of developing countries: A case of Bangladesh economy. J Bus Econ 1: 37-44.
[41]	Mollah S (2011) Do emerging market firms follow different dividend policies? Empirical investigation on the pre-and post-reform dividend policy and behaviour of Dhaka Stock Exchange listed firms. Stud Econ Financ 28: 118-135.
[42]	Murshid KAS, Zohir SC, Ahmed M, et al. (2009) The global financial crisis implications for Bangladesh. BIDS-PRP Working Paper Series, 1.
[43]	Pastor L, Veronesi P (2012) Uncertainty about government policy and stock prices. J Financ 67: 1219-1264. doi: 10.1111/j.1540-6261.2012.01746.x
[44]	Phan DHB, Sharma SS, Tran VT (2018) Can economic policy uncertainty predict stock returns? Global evidence. J Int Financ Markets Inst Money 55, 134-150. doi: 10.1016/j.intfin.2018.04.004
[45]	Portes R, Rey H (2005) The determinants of cross-border equity flows. J Int Econ 65: 269-296. doi: 10.1016/j.jinteco.2004.05.002
[46]	Rahman T, Hossain S, Habibullah M (2017) Stock market crash in Bangladesh: The moneymaking psychology of domestic investors. Am J Theor Appl Bus 3: 43-53. doi: 10.11648/j.ajtab.20170303.12
[47]	Rey H (2015) Dilemma not trilemma: the global financial cycle and monetary policy independence. National Bureau of Economic Research (No. w21162).
[48]	Tsai I (2017) The source of global stock market risk: A viewpoint of economic policy uncertainty. Econ Model 60: 122-131. doi: 10.1016/j.econmod.2016.09.002
[49]	Ullah N, Uddin MA (2018) Does Indian Economic Growth Affect Bangladesh? An Application of ARDL. J South Asian Stud 6: 69-84.
[50]	Zhang D, Lei L, Ji Q, et al. (2019) Economic policy uncertainty in the US and China and their impact on the global markets. Econ Model 79: 47-56. doi: 10.1016/j.econmod.2018.09.028

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