An approximate entropy approach to examine the non-linear dependence in daily Indian exchange rates
AbstractThe purpose of the study is to examine whether the returns and volatility for Indian exchange rates possess non-linear dependence. Furthermore, an attempt is made through a rolling-window approach to check whether non-linear dependence is time-varying. The study employs approximate entropy statistics to examine the non-linear dependence. We also estimate the Tsay statistics to test for non-linearity. The empirical results provide the evidence of strong non-linear dependence in the Indian exchange rate returns and volatility and also that is time-varying. The results also suggest that the GARCH model, which has been used in the study, is misspecified. The evidence of non-linearity has serious implications for asset pricing, risk management and policy making.
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Bibliographic InfoArticle provided by Inderscience Enterprises Ltd in its journal Int. J. of Monetary Economics and Finance.
Volume (Year): 4 (2011)
Issue (Month): 3 ()
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Web page: http://www.inderscience.com/browse/index.php?journalID=218
exchange rates; ARIMA; GARCH; nonlinearity; approximate entropy; India; nonlinear dependence; asset pricing; risk management; policy making.;
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