Intertemporal portfolio allocation and hedging demand: An application to South Africa
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Other versions of this item:
- Esti Van Wyk de Vries & Rangan Gupta & ReneÃ© Van Eyden, 2014. "Intertemporal portfolio allocation and hedging demand: an application to South Africa," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 15(4), pages 744-775, September.
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- Ali Babikir & Henry Mwambi, 2016. "Evaluating the combined forecasts of the dynamic factor model and the artificial neural network model using linear and nonlinear combining methods," Empirical Economics, Springer, vol. 51(4), pages 1541-1556, December.
- Spierdijk, Laura & Umar, Zaghum, 2014. "Stocks for the long run? Evidence from emerging markets," Journal of International Money and Finance, Elsevier, vol. 47(C), pages 217-238.
More about this item
KeywordsIntertemporal hedging demand; Multi-period portfolio choice problem; Parametric bootstrap; Return predictability; South Africa;
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
- G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
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