Investigating causal relationship between stock return with respect to exchange rate and FII: evidence from India

Kumar Sundaram

MPRA Paper from University Library of Munich, Germany

Abstract: The purpose of this paper is to investigate the relationship between macroeconomic parameters like Exchange rate and foreign institutional investment with stock returns in India, in particular at National Stock Exchange. I find that both stock returns and exchange rate are integrated of order one. The Engle–Granger Cointegration test is then performed, suggesting that there is not a long-run equilibrium relationship between stock returns and exchange rates at 5% significance level. Moreover, there is no evidence suggesting that there is any causality relationship from the nominal exchange rate to the stock returns. Furthermore, FII data is found to be I(0) i.e. It doesn’t have a unit root at conventional level. It also gives positive unidirectional Granger causality results i.e. stock returns Granger cause FII. No reverse causality is seen even after inserting a structural break in 2003, as some of the researchers suggest.

Keywords: Unit root test; Cointegration; Granger causality; Exchange rate; Stock return; FII (search for similar items in EconPapers)
JEL-codes: C0 C22 C52 (search for similar items in EconPapers)
Date: 2009-05-01
New Economics Papers: this item is included in nep-cwa
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
https://mpra.ub.uni-muenchen.de/15793/1/MPRA_paper_15793.pdf original version (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:15793

Access Statistics for this paper

More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().