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Tail risk analysis, evolving efficiency and relative predictability of the African stock markets

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References

  • Adjasi, C. K., and C. A. Yartey. 2007. “Stock Market Development in Sub-Saharan Africa: Critical Issues and Challenges.” IMF Working Paper No. 7–209, International Monetary Fund.
  • Alonso, A. M., P. de Zea Bermudez, and M. G. Scotto. 2014. “Comparing Generalized Pareto Models Fitted to Extreme Observations: An Application to the Largest Temperatures in Spain.” Stochastic Environmental Research and Risk Assessment 28 (5):1221–33. doi: 10.1007/s00477-013-0809-8.
  • Andrianaivo, M., and C. A. Yartey. 2010. “Understanding the Growth of African Financial Markets.” African Development Review 22 (3):394–418. doi: 10.1111/j.1467-8268.2010.00253.x.
  • Appiah-Kusi, J., and K. Menyah. 2003. “Return Predictability in African Stock Markets.” Review of Financial Economics 12 (3):247–70. doi: 10.1016/S1058-3300(02)00073-3.
  • Baige, D. 2012. “The Application of Extreme Value Theory in Modeling Old-Age Mortality Rate.” The Journal of Quantitative & Technical Economics 7.
  • Bi, G., and D. E. Giles. 2009. “Modelling the Financial Risk Associated with US Movie Box Office Earnings.” Mathematics and Computers in Simulation 79 (9):2759–66. doi: 10.1016/j.matcom.2008.04.014.
  • Brockwell, P. J. and R. A. Davis. 2002. Introduction to Time Series and Forecasting. 2nd ed. London: Springer.
  • Cebrián, A. C., M. Denuit, and P. Lambert. 2003. “Generalized Pareto Fit to the Society of Actuaries Large Claims Database.” North American Actuarial Journal 7 (3):18–36. doi: 10.1080/10920277.2003.10596098.
  • Charles, A., O. Darné, and J. H. Kim. 2011. “Small Sample Properties of Alternative Tests for Martingale Difference Hypothesis.” Economics Letters 110 (2):151–54. doi: 10.1016/j.econlet.2010.11.018.
  • Charles, A., O. Darné, and J. H. Kim. 2012. “Exchange-Rate Return Predictability and the Adaptive Markets Hypothesis: Evidence From Major Foreign Exchange Rates.” Journal of International Money and Finance 31 (6):1607–26. doi: 10.1016/j.jimonfin.2012.03.003.
  • Chen, Q., and D. E. Giles. 2015. “Risk Analysis for Three Precious Metals: An Application of Extreme Value Theory.” Econometrics Working Paper EWP1402.
  • Choi, I. 1999. “Testing the Random Walk Hypothesis for Real Exchange Rates.” Journal of Applied Econometrics 14 (3):293–308. doi: 10.1002/(SICI)1099-1255(199905/06)14:3<293::AID-JAE503>3.0.CO;2-5.
  • Christoffersen, P. F. 1998. “Evaluating Interval Forecasts.” International Economic Review 39 (4):841–62. doi: 10.2307/2527341.
  • Chu, J., Y. Zhang, and S. Chan. 2019. “The Adaptive Market Hypothesis in the High Frequency Cryptocurrency Market.” International Review of Financial Analysis 64:221–31. doi: 10.1016/j.irfa.2019.05.008.
  • Coles, S. 2001. An Introduction to Statistical Modeling of Extreme Values. London: Springer.
  • D’Amico, G., F. Petroni, and F. Prattico. 2015. “Wind Speed Prediction for Wind Farm Applications by Extreme Value Theory and Copulas.” Journal of Wind Engineering and Industrial Aerodynamics 145:229–36. doi: 10.1016/j.jweia.2015.06.018.
  • De Haan, L., and A. Ferreira. 2007. Extreme Value Theory: An Introduction. New York: Springer-Verlag.
  • de Zea Bermudez, P., and S. Kotz. 2010. “Parameter Estimation of the Generalized Pareto Distribution—Part I.” Journal of Statistical Planning and Inference 140 (6):1353–73. doi: 10.1016/j.jspi.2008.11.019.
  • Diriba, T. A., L. K. Debusho, and J. Botai. (2015). “Modeling Extreme Daily Temperature Using Generalized Pareto Distribution at Port Elizabeth, South Africa.” In Annual Proceedings of the South African Statistical Association Conference, vol. 2015, no. Congress 1, 41–48. South African Statistical Association (SASA).
  • Domínguez, M. A., and I. N. Lobato. 2003. “Testing the Martingale Difference Hypothesis.” Econometric Reviews 22 (4):351–77. doi: 10.1081/ETC-120025895.
  • Embrechts, P., C. Kluppelberg, and T. Mikosch. 1999. “Modelling Extremal Events.” British Actuarial Journal 5 (2):465.
  • Escanciano, J. C., and C. Velasco. 2006. “Generalized Spectral Tests for the Martingale Difference Hypothesis.” Journal of Econometrics 134 (1):151–85. doi: 10.1016/j.jeconom.2005.06.019.
  • Fama, E. F. 1970. “Efficient capital markets: A review of theory and empirical work.” The Journal of Finance 25 (2):383–417. doi: 10.2307/2325486.
  • Ferreira, P., A. Dionisio, and J. Correia. 2018. “Non-Linear Dependencies in African Stock Markets: Was Subprime Crisis an Important Factor?” Physica A: Statistical Mechanics and Its Applications 505:680–87. doi: 10.1016/j.physa.2018.03.060.
  • Folpmers, M. 2010. “Default Modeling of Funds Using the Generalized Pareto Distribution.” Journal of Derivatives & Hedge Funds 16 (2):116–22. doi: 10.1057/jdhf.2010.9.
  • Ghazani, M. M., and M. K. Araghi. 2014. “Evaluation of the Adaptive Market Hypothesis as an Evolutionary Perspective on Market Efficiency: Evidence from the Tehran Stock Exchange.” Research in International Business and Finance 32:50–59.
  • Gyamfi, N. E., K. A. Kyei, and R. Gill. 2016. “African Stock Markets and Return Predictability.” Journal of Economics and Behavioral Studies 8 (5):91–99. doi: 10.22610/jebs.v8i5(J).1434.
  • Jefferis, K., and G. Smith. 2005. “The Changing Efficiency of African Stock Markets.” South African Journal of Economics 73 (1):54–67. doi: 10.1111/j.1813-6982.2005.00004.x.
  • Jorion, P. 2001. Value at Risk. 2nd ed. New York: McGraw-Hill.
  • Khuntia, S., and J. K. Pattanayak. 2018. “Adaptive Market Hypothesis and Evolving Predictability of Bitcoin.” Economics Letters 167:26–28. doi: 10.1016/j.econlet.2018.03.005.
  • Kohers, G., N. Kohers, and T. Kohers. 2006. “The Risk and Return Characteristics of Developed and Emerging Stock Markets: The Recent Evidence.” Applied Economics Letters 13 (11):737–43. doi: 10.1080/13504850500407210.
  • Koima, J. K., P. N. Mwita, and D. K. Nassiuma. 2013. “Application of Extreme Value Theory in the Estimation of Value at Risk in Kenyan Stock Market.” International Journal of Current Trends in Research 2 (1):276–84.
  • Lee, W. C. 2012. “Fitting the Generalized Pareto Distribution to Commercial Fire Loss Severity: Evidence from Taiwan.” The Journal of Risk 14 (3):63. doi: 10.21314/JOR.2012.244.
  • Lenz, R. 2015. “Generalized Pareto Distributions—Application to Autofocus in Automated Microscopy.” IEEE Journal of Selected Topics in Signal Processing 10 (1):92–98. doi: 10.1109/JSTSP.2015.2482949.
  • Liu, H. Z., and L. Gu. 2006. “Fitting Generalized Pareto Distribution to Extreme Daily Return in Financial Market.” Application of Statistics and Management 6.
  • Lo, A. W. 2004. “The Adaptive Markets Hypothesis.” The Journal of Portfolio Management 30 (5):15–29. doi: 10.3905/jpm.2004.442611.
  • Magnusson, M., and B. Wydick. 2002. “How Efficient Are Africa’s Emerging Stock Markets?” Journal of Development Studies 38 (4):141–56. doi: 10.1080/00220380412331322441.
  • Mateus, A. and F. Caeiro. 2013. “Comparing Several Tests of Randomness Based on the Difference of Observations.” In AIP Conference Proceedings, edited by T. Simos, G. Psihoyios, and Ch. Tsitouras, vol. 1558, 809–12.
  • Moore, G. H. and W. A. Wallis. 1943. “Time Series Significance Tests Based on Signs of Differences.” Journal of the American Statistical Association 38:153–54. doi: 10.1080/01621459.1943.10501791.
  • Nortey, E. N., K. Asare, and F. O. Mettle. 2015. “Extreme Value Modelling of Ghana Stock Exchange Index.” SpringerPlus 4 (1):696. doi: 10.1186/s40064-015-1306-y.
  • Nwosu, E. O., A. Orji, and O. Anagwu. 2013. “African Emerging Equity Markets Re-Examined: Testing the Weak Form Efficiency Theory.” African Development Review 25 (4):485–98. doi: 10.1111/1467-8268.12044.
  • Okorie, I. E., and S. Nadarajah. 2019. “A Note on ‘Non-Linear Dependencies in African Stock Markets: Was Subprime Crisis an Important Factor?”Economics Notes. doi: 10.1111/ecno.12137.
  • Olowe, R. A. 1999. “Weak Form Efficiency of the Nigerian Stock Market: Further Evidence.” African Development Review 11 (1):54–68. doi: 10.1111/1467-8268.00003.
  • Pickands, J., III. 1975. “Statistical Inference Using Extreme Order Statistics.” The Annals of Statistics 3 (1):119–31. doi: 10.1214/aos/1176343003.
  • R Core Team. 2014. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing. http://www.R-project.org/.
  • Senbet, L., and I. Otchere. 2008. “African Stock Markets, African Finance for the 21st Century.” High-Level Seminar Organized by the IMF Institute in Collaboration with the Joint Africa Institute, Tunis, Tunisia.
  • Simons, D., and S. A. Laryea. 2006. “The Efficiency of Selected African Stock Markets.” Finance India 20 (2):553.
  • Smith, G., and A. Dyakova. 2014. “African Stock Markets: Efficiency and Relative Predictability.” South African Journal of Economics 82 (2):258–75. doi: 10.1111/saje.12009.
  • Smith, G., K. Jefferis, and H. J. Ryoo. 2002. “African Stock Markets: Multiple Variance Ratio Tests of Random Walks.” Applied Financial Economics 12 (7):475–84. doi: 10.1080/09603100010009957.
  • van Zyl, J. M. 2013. “The Generalized Pareto Distribution Fitted to Research Outputs of Countries.” Scientometrics 94 (3):1099–109. doi: 10.1007/s11192-012-0798-2.
  • Wang, J., and S. Song. 2010. “Application of Generalized Pareto Distribution in POT Flood Series Frequency Analysis.” Journal of Northwest A & F University-Natural Science Edition 38 (2):191–96.
  • Xiu-Min, L., and Fa-Chao, L. 2006. “Extreme Value Theory: An Empirical Analysis of Equity Risk for Shanghai Stock Market.” In 2006 International Conference on Service Systems and Service Management, vol. 2, 1073–77. IEEE. doi: 10.1109/ICSSSM.2006.320657.
  • Zivot, E., and J. Wang. 2007. Modeling Financial Time Series with S-PLUS®, vol. 191. New York: Springer.

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