Random or Deterministic? Evidence from Indian Stock Market

Ivani Bora, Naliniprava Tripathy

Abstract


This study investigates the presence of long memory and non-linear dynamics in Indian stock market returns for a period of 19 years from May 1997 to May 2016 by using Rescaled Range (R/S) method and V-statistics. The empirical findings suggest that Indian stock market shows a high degree of long-range persistence and future stock price can be predicted. The study also finds the presence of multiple non-periodic cycles in the data generating process, with a maximum cycle length of 3.7 years. This study is quite helpful to the participants of the capital markets to improve their portfolio performance by taking efficient strategy before making investment decision

Keywords: R/S Analysis, V-Statistic, Non-linear Dynamics

JEL Classifications: C22, C53, G14


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