An Analysis of the Relationship Between Equity and Composite Index in Bursa Malaysia

Authors

  • Fauziah Mahat Department of Accounting and Finance, Faculty of Economics and Management, Universiti Putra Malaysia
  • Aminah Shari Department of Accounting and Finance, Faculty of Economics and Management, Universiti Putra Malaysia
  • Ahmed Mohamed Dahir Department of Accounting and Finance, Faculty of Economics and Management, Universiti Putra Malaysia

DOI:

https://doi.org/10.52962/ipjaf.2020.4.1.95

Keywords:

Co-Movement, Wavelet Analysis, Continuous Wavelet Transform, Portfolio Choice, Investment Decision

Abstract

This paper examines the relationship between sectoral equity and composite index in Bursa Malaysia. The relationship between equity returns and composite index is investigated using correlation-based on Ordinary Least Square (OLS) and signal decomposition techniques based on wavelet analysis. The paper uses daily data from 1999 to 2019. The OLS result indicated that majority of sectoral equity have a higher correlation with the composite index except in tin and mining sector. The wavelet analysis indicates a majority of sectors are strongly co-move. For all indices, there are lead/lag relationships between the indices except for industrial, plantation, tin mining and trade, and services. The findings have important implications for helping individual and institutional investors to understand the co-movement of equity sectors and then formulate policy measures that encourage better portfolio diversification.

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References

Aguiar-Conraria, L., Azevedo, N., & Soares, M. J. (2008). Using wavelets to decompose the time–frequency effects of monetary policy. Physica A: Statistical Mechanics and its Applications, 387(12), 2863-2878.

Ahmed, A. D., & Huo, R. (2018). China–Africa financial markets linkages: Volatility and interdependence. Journal of Policy Modeling, 40(6), 1140–1164. https://doi.org/10.1016/j.jpolmod.2018.05.002

Aloui, C., Hammoudeh, S., & Hamida, H. Ben. (2015). Co-movement between sharia stocks and sukuk in the GCC markets: A time-frequency analysis. Comput Econ, 34, 69–79. https://doi.org/10.1016/j.intfin.2014.11.003

Anand, A., Li, T., Kurosaki, T., & Kim, Y. S. (2016). Foster-Hart optimal portfolios. Journal of Banking and Finance, 68, 117–130. https://doi.org/10.1016/j.jbankfin.2016.03.011

Ben-Salha, O., Hkiri, B., & Aloui, C. (2018). Sectoral energy consumption by source and output in the U.S.: New evidence from wavelet-based approach. Energy Economics, 72, 75–96. https://doi.org/10.1016/j.eneco.2018.03.029

Benlagha, N. (2014). Dependence structure between nominal and index-linked bond returns: A bivariate copula and DCC-GARCH approach. Applied Economics, 46(31), 3849–3860. https://doi.org/10.1080/00036846.2014.943886

Buchanan, B. G., English, P. C., & Gordon, R. (2011). Emerging market benefits, investability and the rule of law. Emerging Markets Review, 12(1), 47–60. https://doi.org/10.1016/j.ememar.2010.09.001

Cascino, S. (2017). Stock?bond return co?movement and accounting information. Journal of Business Finance & Accounting, 44(7-8), 1036-1072. https://doi.org/10.1111/jbfa.12253

Chen, M.-P., Chen, W.-Y., & Tseng, T.-C. (2017). Co-movements of returns in the health care sectors from the US, UK, and Germany stock markets: Evidence from the continuous wavelet analyses. International Review of Economics and Finance, 49(1), 484–498. https://doi.org/10.1016/j.najef.2018.07.008

Chen, M. P., Chen, W. Y., & Tseng, T. C. (2017). Co-movements of returns in the health care sectors from the US, UK, and Germany stock markets: Evidence from the continuous wavelet analyses. International Review of Economics and Finance, 49(July 2015), 484–498. https://doi.org/10.1016/j.iref.2017.02.009

el Alaoui, A. O., Dewandaru, G., Azhar Rosly, S., & Masih, M. (2014). Linkages and co-movement between international stock market return: Case of Dow Jones Islamic Dubai Financial Market index. In Journal of International Financial Markets, Institutions and Money (Vol. 36). https://doi.org/10.1016/j.intfin.2014.12.004

Erdogan, O., Tata, K., Karahasan, B. C., & Sengoz, M. H. (2013). Dynamics of the co-movement between stock and maritime markets. International Review of Economics and Finance, 25(2), 282–290. https://doi.org/10.1016/j.iref.2012.07.007

Faff, R. W., Hillier, D., & Hillier, J. (2000). Time Varying Beta Risk: An Analysis of Alternative Modelling Techniques. Journal of Business Finance & Accounting. https://doi.org/10.1111/1468-5957.00324

Graham, M., & Nikkinen, J. (2011). Co-movement of the Finnish and international stock markets: A wavelet analysis. European Journal of Finance, 17(5–6), 409–425. https://doi.org/10.1080/1351847X.2010.543839

Hargis, K., & Jianping, M. (2006). Is Country Diversification Still Better Than Sector Diversification? European Financial Management, 33(2), 319–340 Is. https://doi.org/10.2469/dig.v33.n2.1279

Hiang Liow, K. (2012). Co-movements and Correlations Across Asian Securitized Real Estate and Stock Markets. Real Estate Economics, 40(1), 97–129. https://doi.org/10.1111/j.1540-6229.2011.00314.x

Kallberg, J., & Pasquariello, P. (2008). Time-series and cross-sectional excess comovement in stock indexes. Journal of Empirical Finance, 15(3), 481–502. https://doi.org/10.1016/j.jempfin.2007.06.002

Liow, K. H., & Angela, S. Y. (2017). Return and co-movement of major public real estate markets during global financial crisis: A frequency domain approach. Journal of Property Investment and Finance, 35(5), 489–508. https://doi.org/10.1108/JPIF-01-2017-0002

Marfatia, H. A. (2017). A fresh look at integration of risks in the international stock markets: A wavelet approach. Review of Financial Economics, 34(1), 33–49. https://doi.org/10.1016/j.rfe.2017.07.003

Mensah, J. O., & Premaratne, G. (2017). Dependence patterns among Asian banking sector stocks: A copula approach. Research in International Business and Finance, 41(April), 516–546. https://doi.org/10.1016/j.ribaf.2017.05.001

Mensi, W., Hammoudeh, S., Al-Jarrah, I. M. W., Sensoy, A., & Kang, S. H. (2017). Dynamic risk spillovers between gold, oil prices and conventional, sustainability and Islamic equity aggregates and sectors with portfolio implications. Energy Economics, 67, 454–475. https://doi.org/10.1016/j.eneco.2017.08.031

Mensi, W., Hammoudeh, S., & Kang, S. H. (2017). Risk spillovers and portfolio management between developed and BRICS stock markets. North American Journal of Economics and Finance, 41, 133–155. https://doi.org/10.1016/j.najef.2017.03.006

Mimouni, K., Charfeddine, L., & Al-Azzam, M. (2016). Do oil producing countries offer international diversification benefits? Evidence from GCC countries. Economic Modelling, 57, 263–280. https://doi.org/10.1016/j.econmod.2016.05.001

Mohamed Dahir, A., Mahat, F., Ab Razak, N. H., & Bany-Ariffin, A. N. (2018). Revisiting the dynamic relationship between exchange rates and stock prices in BRICS countries: A wavelet analysis. Borsa Istanbul Review, 18(2), 101–113. https://doi.org/10.1016/j.bir.2017.10.001

Pal, D., & Mitra, S. K. (2019). Oil price and automobile stock return co-movement: A wavelet coherence analysis. Economic Modelling, 76(July 2018), 172–181. https://doi.org/10.1016/j.econmod.2018.07.028

Poynter, J. G., Winder, J. P., & Tai, T. (2013). An analysis of co-movements in industrial sector indices over the last 30 years. Review of Quantitative Finance and Accounting, 44(1), 69–88. https://doi.org/10.1007/s11156-013-0399-z

Reboredo, J. C., & Uddin, G. S. (2016). Do financial stress and policy uncertainty have an impact on the energy and metals markets? A quantile regression approach. International Review of Economics and Finance, 43, 284–298. https://doi.org/10.1016/j.iref.2015.10.043

Rehman, M. U., & Shah, S. M. A. (2016). Determinants of Return’s Co-Movement for Effective Portfolio Diversification Among Regional Stock Markets. Revista Evidenciação Contábil & Finanças, 4(1), 84–96. https://doi.org/10.18405/recfin20160106

Sakemoto, R. (2018). Co-movement between equity and bond markets. International Review of Economics and Finance, 53(October 2017), 25–38. https://doi.org/10.1016/j.iref.2017.10.013

Shahzad, S. J. H., Ferrer, R., Hammoudeh, S., & Jammazi, R. (2018). Industry-level determinants of the linkage between credit and stock markets. Applied Economics, 50(49), 5277–5301. https://doi.org/10.1080/00036846.2018.1486986

Shahzad, S. J. H., Nor, S. M., Sanusi, N. A., & Kumar, R. R. (2017). The lead-lag relationship between US industry-level credit and stock markets. Journal of Economic Studies, 44(4), 518–539. https://doi.org/10.1108/JES-03-2016-0053

Sou?ek, M. (2013). Crude oil, equity and gold futures open interest co-movements. Energy Economics, 40, 306–315. https://doi.org/10.1016/j.eneco.2013.07.010

Vacha, L., & Barunik, J. (2012). Co-movement of energy commodities revisited: Evidence from wavelet coherence analysis. Energy Economics, 34(1), 241–247. https://doi.org/10.1016/j.eneco.2011.10.007

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Published

2020-01-01

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Section

Main Section

How to Cite

An Analysis of the Relationship Between Equity and Composite Index in Bursa Malaysia. (2020). Indian-Pacific Journal of Accounting and Finance, 4(1), 4-14. https://doi.org/10.52962/ipjaf.2020.4.1.95

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