Using the daily data on SENSEX and NASDAQ from January to October of 2000, the paper attempts to find out to what extent the “news” on NASDAQ helps price formation at the beginning and at the end of a trading day at the Indian bourses. The possible impact of NASDAQ on SENSEX is analyzed through OLS equations under cointegration and error correction framework. The results indicate that the “news” on NASDAQ plays an important role in price formation at the beginning of a trading day at the Indian bourses. However, as the impact of NASDAQ fades a lot during the trading hours when the Indian market remains open and the US market remains closed, the closing figures at SENSEX could not be predicted well with this information.
相似文献This empirical study deals with the changing weak-form informational efficiency of Indian stock market in recent years. The data cover daily information on BSE-100 index for a period of nine years from January 4, 1993 to December 31, 2001. In order to assess the evolving weak-form efficiency over time, entire data period is partitioned into 18 sub-periods and spectral shape tests are carried out separately in each sub-period. Based on empirical results it is seen that the extent of informational efficiency (weak form) of Indian stock market fluctuated substantially from sub-period to sub-period. The market was considerably inefficient during each sub-period till June 1996, achieved high level of efficiency during July 1996 to December 1999 and showed efficiency at relatively lower level thereafter except little aberration during 2000.
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