Is a correlation-based investment strategy beneficial for long-term international portfolio investors?

Financial Innovation - Tập 9 - Trang 1-26 - 2023
Seema Wati Narayan1, Mobeen Ur Rehman2,3, Yi-Shuai Ren4,5,6,7, Chaoqun Ma5,6,8
1Asia Pacific Applied Economics Association, Melbourne, Australia
2Shaheed Zulfikar Ali Bhutto Institute of Science and Technology (SZABIST), Islamabad, Pakistan
3South Ural State University, Chelyabinsk, Russian Federation
4School of Public Administration, Hunan University, Changsha, China
5Research Institute of Digital Society and Blockchain, Hunan University, Changsha, China
6Centre for Resource and Environmental Management, Hunan University, Changsha, China
7The Energy Centre, University of Auckland, Auckland, New Zealand
8Business School, Hunan University, Changsha, China

Tóm tắt

Using negative to low-correlated assets to manage short-term portfolio risk is not uncommon among investors, although the long-term benefits of this strategy remain unclear. This study examines the long-term benefits of the correlation strategy for portfolios based on the stock market in Asia, Central and Eastern Europe, the Middle East and North Africa, and Latin America from 2000 to 2016. Our strategy is as follows. We develop five portfolios based on the average unconditional correlation between domestic and foreign assets from 2000 to 2016. This yields five regional portfolios based on low to high correlations. In the presence of selected economic and financial conditions, long-term diversification gains for each regional portfolio are evaluated using a panel cointegration-based testing method. Consistent across all portfolios and regions, our key cointegration results suggest that selecting a low-correlated portfolio to maximize diversification gains does not necessarily result in long-term diversification gains. Our empirical method, which also permits the estimation of cointegrating regressions, provides the opportunity to evaluate the impact of oil prices, U.S. stock market fluctuations, and investor sentiments on regional portfolios, as well as to hedge against these fluctuations. Finally, we extend our data to cover the years 2017–2022 and find that our main findings are robust.

Tài liệu tham khảo

Abid I, Kaabia O, Guesmi K (2014) Stock market integration and risk premium: empirical evidence for emerging economies of South Asia. Econ Model 37:408–416. https://doi.org/10.1016/j.econmod.2013.11.015 Baker M, Wurgler J (2006) Investor sentiment and the cross-section of stock returns. J Financ 61(4):1645–1680. https://doi.org/10.1111/j.1540-6261.2006.00885.x Batareddy M, Gopalaswamy AK, Huang CH (2012) The stability of long-term relationships: a study on Asian emerging and developed stock markets (Japan and U.S.). Int J Emerg Mark 7(1):31–48. https://doi.org/10.1108/17468801211197888 Bieńkowski W, Gawrońska-Nowak B, Grabowski W (2014) Comovements of stock markets in the CEE-3 countries during the global financial crisis. East Eur Econ 52(5):32–55. https://doi.org/10.1080/00128775.2014.1004907 Candelon B, Piplack J, Straetmans S (2008) On measuring synchronization of bulls and bears: the case of East Asia. J Bank Financ 32(6):1022–1035. https://doi.org/10.1016/j.jbankfin.2007.08.003 Caporale GM, Spagnolo N (2012) Stock market integration between three CEECs. J Econ Integr 27(1):115–122 Chen GM, Firth M, Rui OM (2002) Stock market linkages: evidence from Latin America. J Bank Financ 26(6):1113–1141. https://doi.org/10.1016/S0378-4266(01)00160-1 Chlibi S, Jawadi F, Sellami M (2016) Analyzing heterogeneous stock price comovement through hybrid approaches. Open Econ Rev 27:541–559. https://doi.org/10.1007/s11079-015-9381-9 Chortareas G, Cipollini A, Eissa MA (2011) Exchange rates and stock prices in the MENA countries: what role for oil? Rev Dev Econ 15(4):758–774. https://doi.org/10.1111/j.1467-9361.2011.00641.x Choudry T (1997) Stochastic trends in stock prices, evidence from Latin American markets. J Macroecon 19:285–304. https://doi.org/10.1016/S0164-0704(97)00016-5 Demian CV (2011) Cointegration in Central and East European markets in light of E.U. accession. J Int Financ Mark Inst Money 21(1):144–155. https://doi.org/10.1016/j.intfin.2010.10.002 Diamandis PF (2009) International stock market linkages: evidence from Latin America. Glob Financ J 20(1):13–30. https://doi.org/10.1016/j.gfj.2009.03.005 Dooley M, Hutchison M (2009) Transmission of the U.S. subprime crisis to emerging markets: evidence on the decoupling-recoupling hypothesis. J Int Money Financ 28(8):1331–1349. https://doi.org/10.1016/j.jimonfin.2009.08.004 Engle RF, Granger WJ (1987) Cointegration and error correction: representation, estimation and testing. Econom J Econom Soc 55(2):251–276. https://doi.org/10.2307/1913236 Fisher RA (1992) Statistical methods for research workers. Springer, New York, pp 66–70 Gilmore CG, McManus GM (2002) International portfolio diversification: U.S. and Central European equity markets. Emerg Mark Rev 3(1):69–83. https://doi.org/10.1016/S1566-0141(01)00031-0 Gündüz L, Omran M (2001) Stochastic trends and stock prices in emerging markets: the case of Middle East and North Africa region. ISE Q Rev Econ Financ 5(17):1–21 Gupta R, Guidi F (2012) Cointegration relationship and time varying comovements among Indian and Asian developed stock markets. Int Rev Financ Anal 21:10–22. https://doi.org/10.1016/j.irfa.2011.09.001 Im KS, Pesaran MH, Shin Y (2003) Testing for unit roots in heterogeneous panels. J Econom 115(1):53–74. https://doi.org/10.1016/S0304-4076(03)00092-7 Johansen S (1988) Statistical analysis of cointegration vectors. J Econ Dyn Control 12(2–3):231–254. https://doi.org/10.1016/0165-1889(88)90041-3 Kao C (1999) Spurious regression and residual-based tests for cointegration in panel data. J Econom 90:1–44. https://doi.org/10.1016/S0304-4076(98)00023-2 Kou G, Olgu Akdeniz Ö, Dinçer H, Yüksel S (2021) Fintech investments in European banks: a hybrid IT2 fuzzy multidimensional decision-making approach. Financ. Innov 7(1):39. https://doi.org/10.1186/s40854-021-00256-y Levin A, Lin CF, Chu CSJ (2002) Unit root tests in panel data: asymptotic and finite-sample properties. J Econom 108:1–24. https://doi.org/10.1016/S0304-4076(01)00098-7 Li T, Kou G, Peng Y, Philip SY (2021) An integrated cluster detection, optimization, and interpretation approach for financial data. IEEE Trans Cybern 52(12):13848–13861. https://doi.org/10.1109/TCYB.2021.3109066 Lin L, Lin WY (2018) Does the major market influence transfer? alternative effect on Asian stock markets. Rev Quant Financ Account 50(4):1169–1200. https://doi.org/10.1007/s11156-017-0658-5 Linne T (1998) The integration of the Central and Eastern European equity markets into the international capital markets: a cointegration analysis. Working Paper, IWH (Halle) 1/1998 Maddala GS, Wu S (1999) A comparative study of unit root tests with panel data and a new simple test. Oxf Bull Econ Stat 61(S1):631–652. https://doi.org/10.1111/1468-0084.0610s1631 Manning N (2002) Common trends and convergence? South East Asian equity markets, 1988–1999. J Int Money Financ 21(2):183–202. https://doi.org/10.1016/S0261-5606(01)00038-9 Markowitz HM (1952) Portfolio selection. J Financ 7(1):77–91 Mukherjee P, Bose S (2008) Does the stock market in India move with Asia? a multivariate cointegration-vector autoregression approach. Emerg Mark Financ Trade 44(5):5–22. https://doi.org/10.2753/REE1540-496X440501 Narayan S, Rehman MU (2017) Diversification opportunities between emerging and frontier Asian (EFA) and developed stock markets. Financ Res Lett 23:223–232. https://doi.org/10.1016/j.frl.2017.06.007 Narayan S, Rehman MU (2018) Portfolio diversification opportunities within emerging and frontier stock markets: evidence from ten Asian countries. Bull Monet Econ Bank 21(1):1–21. https://doi.org/10.21098/bemp.v21i1.893 Narayan S, Rehman MU (2020) International portfolio strategies and opportunities: the case of the U.S., Japan and Asia. Financ Res Lett 37:101358. https://doi.org/10.1016/j.frl.2019.101358 Narayan S, Rehman MU (2021) Can home-biased investors diversify inter-regionally in the long run? Econ Model 37:1–14. https://doi.org/10.1016/j.econmod.2021.01.016 Narayan S, Srianathakumar S, Islam SZ (2014) Stock market integration of emerging Asian economies: patterns and causes. Econ Model 39:19–31. https://doi.org/10.1016/j.econmod.2014.02.012 Narayan S, Sriananthakumar S, Maheshwari G, Rehman M (2020) Diversification opportunities for a home biased investor in the emerging and frontier equity markets. Under submission Pedroni P (1999) Critical values for cointegration tests in heterogeneous panels with multiple regressors. Oxf Bull Econ Stat 61:653–670. https://doi.org/10.1111/1468-0084.0610s1653 Pedroni P (2004) Panel cointegration: asymptotic and finite sample properties of pooled time series with an application to the PPP hypothesis. Econom Theory 20:597–625. https://doi.org/10.1017/S0266466604203073 Röckinger M, Urga G (2001) The evolution of stock markets in transition economies. J Comp Econ 28(3):456–472. https://doi.org/10.1006/jcec.2000.1669 Scheicher M (2001) The comovements of stock markets in Hungary, Poland and the Czech Republic. Int J Financ Econ 6:27–39. https://doi.org/10.1002/ijfe.141 Wen F, Xu L, Ouyang G, Kou G (2019) Retail investor attention and stock price crash risk: evidence from China. Int Rev Financ Anal 65:101376. https://doi.org/10.1016/j.irfa.2019.101376 Yu JS, Hassan MK (2008) Global and regional integration of the Middle East and North African (MENA) stock markets. Q Rev Econ Financ 48(3):482–504. https://doi.org/10.1016/j.qref.2006.06.003 Zhu HM, Li R, Li S (2014) Modelling dynamic dependence between crude oil prices and Asia-Pacific stock market returns. Int Rev Econ Financ 29:208–223. https://doi.org/10.1016/j.iref.2013.05.015