Evolving Efficiency of Dually-Listed Indian Stocks: A Nonlinear Perspective

This paper examines the degree of efficiency of Indian ADRs and their underlying stocks trading in NSE/BSE from an adaptive markets hypothesis (AMH) perspective that is theoretically grounded in nonlinear serial dependence. For this purpose, the authors employ the windowed as well as the rolling hinich bicorrelation test procedures on ADRs and the underlying stocks issued by Indian firms such as, and limited to, Dr. Reddy’s Laboratories, HDFC Bank, ICICI Bank, Infosys, Wipro, Tata Motors, and Sterlite Industries. The study’s findings indicate that the degree of market efficiency witnessed at the level of individual scrips (ADRs or underlying domestic stocks) differs considerably from the degree of efficiency of the broader stock market in which such scrips trade. Further, the degree of efficiency witnessed amidst all US and Indian scrips considered for this study was found to be heterogeneous in nature and in-turn warrants a ranking approach. Lastly, the degree of efficiency witnessed in certain (not all) dually-listed Indian scrips was found to be homogenous across trading locations. However, this does not happen to be the case for all other dually-listed scrips considered for this study. The study’s findings bring to light the need for disaggregated, firm level market efficiency studies aimed at examining firm-level market efficiency at different trading locations and in-turn identifying the antecedents behind homogeneity (or lack-thereof) in firm-level market efficiency across multiple trading locations.