Enhancing portfolio resilience during crisis periods: Lessons from BRICS indices and multi asset strategies
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DOIhttp://dx.doi.org/10.21511/imfi.20(4).2023.09
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Article InfoVolume 20 2023, Issue #4, pp. 99-111
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This paper uses Markowitz’s mean-variance model to construct an investment portfolio incorporating multiple assets – BRICS equity indices, Gold, crude oil, bonds, and cryptocurrencies. The optimally created risky portfolios outperform alternative portfolio optimization methods – the naive portfolio and the equal risk contribution portfolio; and established indices – the S&P 500 and the MSCI Emerging Equity Index in terms of metrics – adjusted Sharpe ratio, modified Sharpe ratio, and the modified Value at Risk. The findings are validated across different periods, including the COVID-19 period and the Russian invasion of Ukraine, including various in and out of sample periods. The findings highlight the benefits of portfolio diversity, mainly using BRICS indices, Gold, and Brent Crude oil, and challenge the notion of limited diversification benefits in BRICS indices found in previous studies. This paper further suggests the potential of emerging market bonds ETF as a diversification option during turbulent economic periods and highlights the limitations of cryptocurrencies in optimizing multi asset portfolios. By adopting the recommended multi asset portfolios, investors can enhance their risk-return trade-offs and achieve superior performance compared to the S&P500 and MSCI emerging indices. Lastly, the paper recommends future research opportunities in measuring portfolio performance and hedging strategies considering risk-adjusted return measurements, transaction expenses, and dynamic rebalancing techniques.
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JEL Classification (Paper profile tab)G11, G12, F21
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References49
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Tables9
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Figures0
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- Table 1. Variables used in the study
- Table 2. Test of normality using Jarque-Bera test results: Period: 3/1/2018 to 14/6/2018
- Table 3. Extract of descriptive statistics
- Table 4. Yield of 10-year U.S. Treasury bond
- Table 5. Recommended optimal risky portfolios
- Table 6. Recommended equal risk contribution portfolios
- Table 7. Portfolio evaluation as per Adjusted Sharpe Ratio
- Table 8. Portfolio evaluation as per Modified Sharpe Ratio
- Table 9. Portfolio evaluation as expected shortfall using modified Value at Risk (MVaR)
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- Aboura, S., Chevallier, J., Jammazi, R., & Tiwari, A. K. (2016). The place of Gold in the cross–market dependencies. Studies in Nonlinear Dynamics and Econometrics, 20(5), 567-586.
- Akyildirim, E., Aysan, A. F., Cepni, O., & Darendeli, S. P. C. (2021). Do Investor Sentiments Drive Cryptocurrency Prices? Economics Letters, 206, 109980.
- Alquist, Ron, & Olivier Gervais. (2013). The Role of Financial Speculation in Driving the Price of Crude Oil. The Energy Journal, 34, 35-54.
- Artzner, P., Delbaen, F., Eber, J., & Heath, D. (1999). Coherent Measures of Risk. Mathematical Finance, 9(3), 203-228.
- Batista, D., & Alves, C. (2021). Analysis of Bitcoin’s Impact on the Efficiency of a Diversified Portfolio for Brazilian Investors. Revista Brasileira de Gestão de Negócios, 23(2), 353-369.
- Benartzi, S., & Thaler, R. H. (2001). Naive Diversification Strategies in Defined Contribution Saving Plans. The American Economic Review, 91(1), 79-98.
- Bessler, W., & Wolff, D. (2015). Do Commodities Add Value in Multiasset Portfolios? An Out-of-Sample Analysis for Different Investment Strategies. Journal of Banking & Finance, 60.
- Bredin, D. , Conlon, T & Poti, V. (2015). Does gold glitter in the long run? Gold as a hedge and safe haven across time and investment horizon. International Review of Financial Analysis, 41, 320-328.
- Brinson, G. P., Singer, B. C. J., & Beebower, G. L. (1991). Determinants of Portfolio Performance II: An Update. Financial Analysts Journal, 47(3), 40-48.
- Brown, J. R., Liang, N., & Weisbenner, S. J. (2007). Individual account investment options and portfolio choice: Behavioral lessons from 401(k) plans. Journal of Public Economics, 91(10), 1992-2013.
- Buchanan, B., English, P., & Gordon, R. A. (2011). Emerging market benefits, instability, and the rule of law. Emerging Markets Review, 12(1), 47-60.
- Burdorf, T., & Van Vuuren, G. (2018). An evaluation and comparison of Value at Risk and Expected Shortfall. Investment Management & Financial Innovations, 15(4),17-34.
- Clark, S. L., Dickson, M., & Neale, F. R. (2016). Portfolio Diversification Effects of Catastrophe Bonds. Social Science Research Network.
- Corbet, S., Meegan, A., Larkin, C., Lucey, B., & Yarovaya, L. (2018). Exploring the dynamic relationships between cryptocurrencies and other financial assets. Economics Letters, 165, 28-34.
- Dong, X., Li., C & Yoon, S. (2021). How can investors build a better portfolio in small open economies? Evidence from Asia’s Four Little Dragons. North American Journal of Economics and Finance, 58.
- Drobetz, W., Schröder, H., & Tegtmeier, L. (2020). The role of catastrophe bonds in an international multiasset portfolio: Diversifier, hedge, or haven? Finance Research Letters, 33, 101198.
- Favre, L., & Galeano, J. (2002). Mean-Modified Value-at-Risk Optimization with Hedge Funds. The Journal of Alternative Investments, 5(2), 21-25.
- Gupta, N., Mitra, P., & Banerjee, D. (2023). Cryptocurrencies and traditional assets: Decoding the analogy from emerging economies with crypto usage. Investment Management and Financial Innovations, 20(1), 1-13.
- Jeribi, A., Jena, S.K. & Lahiani, A. (2021). Are cryptocurrencies a backstop for the stock market in a COVID-19-led financial crisis? Evidence from the NARDL approach. International Journal of Financial Studies, 9(3), Article 33.
- Jorion, P. (2007). Value at Risk: The New Benchmark for Managing Financial Risk (Vol. 3). New York: McGraw-Hill.
- Kish, R. J. (2016). Catastrophe bonds: risk offsets with diversification and high returns. Financial Services Review, 25(3), 303-329.
- Koziuk, V. (2022). What do cross-country Bitcoin holdings tell us? Monetary and institutional discontent vs. financial development. Investment Management and Financial Innovations, 19(1), 168-185.
- Kryzanowski, L., Zhang, J., & Zhong, R. (2018). Currency Hedging of International Bond Portfolios: Effects of Unconventional Monetary Policy Regimes. Social Science Research Network.
- Litzenberger, R. H., Beaglehole, D. R., & Reynolds, C. E. (1996). Assessing catastrophe reinsurance-linked securities as a new asset class. Journal of Portfolio Management, 23(5), 76-86.
- Ma, Y., Qiang J., & Jiaofeng, P. (2019). Oil financialisation and volatility forecast: Evidence from multidimensional predictors. Journal of Forecasting, 38, 564-581.
- Maillard, D. (2018). Adjusted Sharpe Ratio: Some Caveats. Social Science Research Network.
- Maillard, S., Roncalli, T., & Teiletche, J. (2010). The Properties of Equally Weighted Risk Contribution Portfolios. The Journal of Portfolio Management, 36(4), 60-70.
- Majumder, D. (2012). When the market becomes inefficient: Comparing BRIC markets with markets in the USA. International Review of Financial Analysis, 24, 84-92.
- Markowitz, H. (1952). Portfolio selection. Journal of Finance, 7(1), 77-91.
- Markowitz, H. M. (1959). Portfolio Selection: Efficient Diversification of Investments. New York: John Wiley & Sons.
- Mausser, H., & Romanko, O. (2014). Computing equal risk contribution portfolios. IBM Journal of Research and Development, 58(4), 5:1-5:12.
- Moulya, V. H., Mohammadi, A., & Mallikarjunappa, T. (2019). Optimal Vs. 1/N Diversification and Portfolio Evaluation: A study on Indian Stock Market. Asian Journal of Management.
- Naeem, M., Pham, L., Senthilkumar, A., & Karim, S. A. (2022). Oil shocks and BRIC markets: Evidence from extreme quantile approach. Energy Economics, 108, 105932.
- Namita Rajput and Sufiya (2022). Impact of COVID-19 on financial integration: Study on BRICS. Investment Management and Financial Innovations, 19(2), 119-129.
- Nissanke, M. (2012). Commodity Market Linkages in the Global Financial Crisis: Excess Volatility and Development Impacts. Journal of Development Studies, 48(6), 732-750.
- Núñez-Mora, J. A., & Sánchez-Ruenes, E. (2020). Generalised hyperbolic distribution and portfolio efficiency in energy and stock markets of BRIC countries. International Journal of Financial Studies, 8(4), 1-14.
- Peskin, S. K. (2018). Evaluating Multiasset Strategies. The Journal of Portfolio Management, Multiasset special issue, 44(2), 40-49.
- Pézier, J., & White, A. R. (2008). The Relative Merits of Alternative Investments in Passive Portfolios. The Journal of Alternative Investments, 10(4), 37-49.
- Qu, B., Zhou, Q., Xiao, J. Q., Liang, J., & Suganthan, P. N. (2017). Large-Scale Portfolio Optimization Using Multiobjective Evolutionary Algorithms and Preselection Methods. Mathematical Problems in Engineering, 1-14.
- Ren, X., Wang, R., Duan, K., & Chen, J. (2021). Dynamics of the sheltering role of Bitcoin against crude oil market crash with varying severity of the COVID-19: A comparison with Gold. Research in International Business and Finance, 62, 101672.
- Shahzad, S. J. H., Bouri, E., Rehman, M. U., & Roubaud, D. (2021). The hedge asset for BRICS stock markets: Bitcoin, Gold, or VIX. The World Economy, 45(1), 292-316.
- Sterge, A. J., & Van Der Stichele, B. (2016). Understanding Cat Bonds. The Journal of Alternative Investments, 19(1), 27-40.
- Vidal-García, J., & Vidal, M. (2022). Modified Sharpe Ratio. Social Science Research Network.
- Vo, X. V., & Chu, T. M. C. (2019). Do foreign shareholders improve corporate earnings quality in emerging markets? Evidence from Vietnam. Cogent Economics & Finance, 7(1), 1698940.
- Vo, X. V., & Tran, T. H. (2020). Modelling volatility spillovers from the U.S. equity market to ASEAN stock markets. Pacific-Basin Finance Journal, 59, 101246.
- Wang, Lu, Feng Ma, Tianjiao Niu, & Chengting He. (2020). Crude oil and BRICS stock markets under extreme shocks: New evidence. Economic Modelling 86, 54-68.
- Wang L, Ahmad F, Luo GL, Umar M, Kirikkaleli D. (2022). Portfolio optimisation of financial commodities with energy futures. Annals of Operations Research, 313(1), 401-439.
- Wu, C. & Pandey, V. (2014). The value of Bitcoin in enhancing the efficiency of an investor’s portfolio. Journal of Financial Planning, 27, 44-52.
- Zhang, Y., & Jing Wang. (2015). Exploring the WTI crude oil price bubble process using the Markov regime-switching model. Physica A: Statistical Mechanics and its Applications, 421, 377-87.