Investigating adaptive behavior in the foreign exchange market: ZAR versus USD and CNY
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DOIhttp://dx.doi.org/10.21511/imfi.18(2).2021.31
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Article InfoVolume 18 2021, Issue #2, pp. 391-401
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This study examines the adaptive behavior of South African Rand (ZAR) exchange rate against its major trading partners, the US Dollar (USD) and the Chinese Yuan (CNY) over the period 1999-2020. The study uses a rolling parametric linear variance ratio (VR) test, nonparametric linear runs test, and non-linear Brock, Dechert and Scheinkman (BDS) test to determine time-varying predictability and regression analyses to assess the effect of market conditions. The results show that the foreign exchange market was found to be inefficient based on the VR tests, but efficient with very few windows of inefficiency based on the runs test and BDS test. In addition, apart from the GDP, none of the market conditions studied is associated with non-parametric linear and nonlinear predictabilities. The study draws two main conclusions. Firstly, the South African foreign exchange market is adaptively efficient. Secondly, foreign exchange market efficiency is primarily driven by the level of economic growth. Practically, it will be difficult for investors to exploit the few windows of predictability in the South African foreign exchange market by focusing mainly on the market conditions studied.
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JEL Classification (Paper profile tab)G14, G15, N27
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References56
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Tables1
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Figures2
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- Figure 1. ZARUSD VR, runs and BDS p-values (2-year window, rolled by 1-month)
- Figure 2. ZARCNY VR, runs and BDS p-values (2-year window, rolled by 1-month)
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- Table 1. Regression results
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- Abounoori, E., Shahrazi, M., & Rasekhi, S. (2012). An investigation of Forex market efficiency based on detrended fluctuation analysis: A case study for Iran. Physica A: Statistical Mechanics and its Application, 391(11), 3170-3179.
- Adeyeye, P. O., Aluko, O. A., & Migiro, S. O. (2017). The nexus between stock price and foreign exchange rate: validating the portfolio-balance model in Nigeria. Afro-Asian Journal of Finance and Accounting, 7(4), 363-377.
- Ahmad, K. M., Ashraf, S., & Ahmed, S. (2007). Efficiency of Foreign Exchange Markets: Evidence from South Asian Countries. The India Journal of Economics, 88(348), 17-33.
- Alexander C. O., & Johnson, A. (1992). Are foreign exchange markets really efficient? Economics Letters, 40, 449-453.
- Banco Santander, S. A (2020). South African foreign trade in figures.
- Brock, W. A., Dechert, D. W., & Scheinkman, J. A. (1987). A Test for Independence Based on the Correlation Dimension. Department of Economics, University of Wisconsin at Madison, University of Houston and University of Chicago.
- Brock, W. A., Dechert, D. W., & Scheinkman, J. A. (1996). A test for independence based on the correlation dimension. Econometric Reviews, 15, 197-235.
- Bussinesstech (2019). South Africa is leading the FX industry in Africa – Report.
- Charles, A., Darne, O., & Kim, J. H. (2012). Exchange-rate return predictability and the adaptive markets hypothesis: Evidence from major foreign exchange rates. Journal of International Money and Finance, 31(6), 1607-1626.
- Ching, K. S., Munir, Q., & Bahron, A. (2014). Technical Anomalies: A Theoretical Review. Malaysian Journal of Business and Economics, 1(1), 103-110.
- Chipunza, K. J., Mugutho, H. T., Mugutho, L., & Muzindutsi, P-F. (2020) Stock Returns and Valuation Ratios at Sector Level in South Africa: The Regime-switch Modelling Approach. Global Business Review, 1-16.
- Chu, J., Zhang, Y., & Chan, S. (2019). The adaptive market hypothesis in the high frequency cryptocurrency market. International Review of Financial Analysis, 64, 221-231.
- Fabozzi, F. J., & Francis, J. C. (1977). Stability Tests for Alphas and Betas Over Bull and Bear Market Conditions. The Journal of Finance, 32(4), 1093-1099.
- Fama, E. F. (1965). The Behaviour of Stock Market Prices. Journal of Business, 38(1), 34-105.
- Fama, E. F. (1970). Random Walks in Stock Market Prices. The Journal of Finance, 25(2), 383-417.
- Grassberger, P., & Procaccia, I. (1983). Characterization of Strange Attractor. Physical Review Letter, 50(5), 346-349.
- Hiremath, G. S., & Kumari, J. (2014). Stock returns predictability and the adaptive market hypothesis in emerging markets: evidence from India.
- Ibrahim, J., Long, Y., Ghani, H. A., & Salleh, S. I. M. (2011). Weak-form efficiency of foreign exchange market in the Organisation for Economic Cooperation and Development Countries: Unit root test. International Journal of Business and Management, 6(6), 53-65.
- Kallianiotis, L. N. (2017). Exchange Rate Movement: Efficiency in the Foreign Exchange Market. International Research Journal of Applied Finance, 8(4), 195-213.
- Katusiime, L, Shamsuddin, A., & Agbola, F. W. (2015). Macroeconomic and market microstructure modeling of Ugandan exchange rate. Economic Modeling, 45, 175-186.
- Khuntia, S., & Pattanayak, J. K. (2018). Adaptive market hypothesis and evolving predictability of bitcoin. Economics Letters, 167, 26-28.
- Khuntia, S., Pattanayak, J. K., & Hiremath, G. S. (2018). Is the Foreign Exchange Market Efficiency Adaptive? The Empirical Evidence from India. Journal of Asia-Pacific Business, 19(4), 261-285.
- Kim, J. (2006). Wild bootstrapping variance ratio tests. Economics Letters, 92, 38-43.
- Kim, J. H., Lim, K. P., & Shamsuddin, A. (2011). Stock return predictability and the adaptive markets hypothesis: Evidence from century-long US data. Journal of Empirical Finance, 18(5), 868-879.
- Kisto, M., & Ummersingh, S. (2015). Efficiency of the Foreign Exchange Market in Mauritius. Research Journal of Science and IT Management, 4(7), 47-53.
- Klein, A., & Rosenfeld, J. (1987). The Influence of Market Conditions on Event-Study Residuals. The Journal of Financial and Quantitative Analysis, 22(3), 345-351.
- Kumar, A. S., & Anandarao, S. (2020). Efficient or adaptive? Evidence from Indonesian forex market. Journal of Public Affairs.
- Kumar, D. (2018). Market Efficiency in Indian Exchange Rates: Adaptive Market Hypothesis. Theoretical Economics Letters, 8(9), 1582-1598.
- Lim, K. P., & Hooy, C. W. (2012). Non-Linear Predictability in G7 Stock Index Returns. The Manchester School.
- Lim, K-P., & Brooks, R. D. (2006). The Evolving and Relative Efficiencies of Stock Markets: Empirical Evidence from Rolling Bicorrelation Test Statistics (June 2006).
- Lo, A. W. (2004). The adaptive markets hypothesis: market efficiency from an evolutionary perspective.
- Lo, A. W. (2005). Reconciling efficient markets with behavioural finance: the adaptive markets hypothesis. Journal of Investment Consulting, 7(2), 21-44.
- Lo, A. W. (2017). Adaptive markets: Financial Evolution at the Speed of Thought (1st ed.). Princeton, New Jersey: Princeton University Press.
- Lo, A. W., & MacKinlay, A. C. (1988). Stock Market Prices do not Follow Random Walks: Evidence from a Simple Specification Test. The Review of Financial Studies, 1(1), 41-66.
- Mabakeng, M. E. P., & Sheefeni, J. P. S. (2014). Examining the weak form efficiency in foreign exchange market in Namibia. International Review of Research in Emerging Markets and the Global Economy (IRREM), 1(4), 174-187.
- Matebejana, G., Motlaleng, G., & Juana, J. (2017). Foreign Exchange Market Efficiency in Botswana. Review of Economic and Business Studies, 10(1), 103-125.
- Mi, A. (2016). Efficiency of Foreign Exchange Markets: The Case of Nigeria. Journal of Global Economics, 4(4), 1-12.
- Mlambo, C., Maredza, A., & Sibanda, K. (2013). Effects of Exchange Rate Volatility on the Stock Market: A Case Study of South Africa. Mediterranean Journal of Social Sciences, 4(14), 561-570.
- Neely, C. J., & Weller, P. A. (2013). Lessons from the evolution of foreign exchange trading strategies. Journal of Banking and Finance, 37(10), 3783-3798.
- Neely, C. Weller, A., & Ulrich, M. (2009). The Adaptive Markets Hypothesis: Evidence from the Foreign Exchange Market. The Journal of Financial and Quantitative Analysis, 44(2), 467-488.
- Noman, A. M., & Ahmed, M. U. (2008). Efficiency of the foreign exchange markets in South Asian Countries (AIUB Bus Econ Working Paper Series, No 2008-18).
- Obalade, A. A., & Muzindutsi, P. F. (2020b). Are African stock market efficient or adaptive? A critical review of empirical literature. Book Chapter. Emerging Markets.
- Obalade, A. A., & Muzindutsi, P-F. (2018). Are there Cycles of Efficiency and Inefficiency? Adaptive Market Hypothesis in Three African Stock Markets. Frontiers in Finance and Economics, 15(1), 185-202.
- Obalade, A. A., & Muzindutsi, P-F. (2020a). Validating the Adaptive Market Hypothesis in the Tunisian Stock Market. International Journal of Trade and Global Markets, 13(1), 42-51.
- Obalade, A. A. (2019). Adaptive market hypothesis and calendar anomalies in selected African stock markets (Doctoral dissertation). University of KwaZulu-Natal.
- Oh, G., Kim, S., & Eom, C. (2007). Market efficiency in foreign exchange markets. Physica A: Statistical Mechanics and its Applications, 382(1), 209-212.
- Patterson, D. M., & Ashley, R. A. (2000) A Nonlinear Time Series Workshop: A Toolkit for Detecting and Identifying Nonlinear Serial Dependence. Boston, MA: Kluwer Academic.
- Poshakwale, S. (1996). Evidence on Weak Form Efficiency and Day of the Week Effect in the Indian Stock Market. Finance India, 10(3), 605-616.
- Seetharam, Y. (2016). The dynamics of market efficiency: Testing the Adaptive Market Hypothesis in South Africa (PhD Dissertation). School of Economic and Business Sciences University of the Witwatersrand Johannesburg South Africa.
- Sewel, M. (2011). History of the Efficient Market Hypothesis. Research Note RN/11/04.
- Siegel, J. (1956) Nonparametric Statistics for the Behavioural Sciences. New York: McGraw-Hill.
- Urquhart A. (2017). How predictable are precious metal returns? The European Journal of Finance. 23(14), 1390-1413.
- Urquhart, A. (2013). An Empirical Analysis of the Adaptive Market Hypothesis and Investor Sentiment in Extreme Circumstances (PhD Dissertation). Department of Economics Newcastle University Business School Newcastle University.
- Verheyden, T., De Moor, L., & Van den Bossche, F. (2013). A Tale of Market efficiency (M.Sc. Thesis). Hoge school – Universiteit Brussel Faculty of Economics & Managment).
- Wright, J. (2000). Alternative variance-ratio tests using ranks and signs. Journal of Business and Economic Statistics, 18, 1-9.
- Zhou, J., & Lee, J. M. (2013). Adaptive market hypothesis: evidence from the REIT market. Applied Financial Economics, 23(21), 1649-16.