https://orcid.org/0000-0003-0244-8653
References
- Hinich, M. J., and D. M. Patterson. 1985. “Evidence of Nonlinearity in Daily Stock Returns.” Journal of Business & Economic Statistics 3 (1): 69–77. doi:10.1080/07350015.1985.10509428.
- Khediri, K. B., and L. Charfeddine. 2015. “Evolving Efficiency of Spot and Futures Energy Markets: A Rolling Sample Approach.” Journal of Behavioral and Experimental Finance 6: 67–79. doi:10.1016/j.jbef.2015.03.006.
- Lo, A. W. 2004. “The Adaptive Markets Hypothesis: Market Efficiency from an Evolutionary Perspective.” Journal of Portfolio Management 30: 15–29. doi:10.3905/jpm.2004.442611.
- Madhavan, V. 2014. “Investigating the Nature of Nonlinearity in Indian Exchange Traded Funds (Etfs).” Managerial Finance 40 (4): 395–415. doi:10.1108/MF-07-2013-0170.
- Madhavan, V., and R. Arrawatia. 2016. “Relative Efficiency of G8 Sovereign Credit Default Swaps and Bond Scrips: An Adaptive Market Hypothesis Perspective.” Studies in Microeconomics 4 (2): 127–150. doi:10.1177/2321022216649479.
- Patterson, D. M., and R. A. Ashley. 2000. A Nonlinear Time Series Workshop: A Toolkit for Detecting and Identifying Nonlinear Serial Dependence. Vol. 2. Boston: Kluwer Academic Publishers. doi:10.1007/978-1-4419-8688-7.
- Zhang, B. 2013. “Are the Crude Oil Markets Becoming More Efficient over Time? New Evidence from a Generalized Spectral Test.” Energy Economics 40: 875–881. doi:10.1016/j.eneco.2013.10.012.
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