This study uses monthly data spanning the period 2000-2011, applies Triples test of Randles et al. (1980) to investigate asymmetric behavior in correlation between eighteen industrial stock index and exchange rate and its form of asymmetry. The empirical result shows no significant evidence under the 30 moving window. Instead, under 60 and 90 moving windows, the result shows significant negative steepness effect in the industry of Textiles and Steel & Iron. It implies that correlation coefficient fall faster in bad news than rise in good news for Textiles and Steel & Iron industries. The results are relevant for investor, modeler and policymaker.