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Stream/Area:
-
Subject:
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Paper ID:
IJSREM66858
Volume:
10 |
8 |
Aug 2026
Pages:
1-11
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Management Studies
Central University of Kashmir,J&K
Management Studies
Central University of Kashmir,J&K
This paper empirically investigates the impact of Foreign Direct Investment (FDI), Foreign Institutional Investment (FII), and the USD/INR exchange rate on the Bombay Stock Exchange (BSE) Sensex using monthly data from April 1995 to May 2026 (259 observations after cleaning). The study employs a comprehen-sive econometric framework including: (1) Unit Root Tests (ADF and KPSS) for stationarity analysis, (2) Autoregressive Distributed Lag (ARDL) Bounds Test for co-integration, (3) Error Correction Model (ECM) for short-run dynamics, and (4) Granger Causality Tests for directional relationships. The empirical results reveal that FDI, FII, and exchange rate collectively explain approximately 90.4% of the variation in Sensex movements in the long-run. The ARDL Bounds Test shows no co-integration with an F-statistic of 3.087 falling below the lower bound at 10% significance. However, the long-run OLS model shows strong relationships: a 1% increase in FDI is associated with a 0.28% increase in Sensex, while a 1% increase in FII leads to a 0.18% increase in Sensex. The exchange rate shows a strong positive coefficient (1.82), indicating that INR depreciation is associated with higher Sensex levels. The ECM results show that approximately 2.96% of short-run disequilibrium is corrected monthly,confirming slow adjustment to long-run equilibrium. Granger causality tests reveal bidirectional causality between FII and Sensex, and between FDI and FII. Sensex Granger-causes FDI, FII, and USD unidirectionally. Diagnostic tests indicate the model has no serial correlation but exhibits heteroscedasticity and non-normality. These findings have important implications for policymakers and investors in emerging markets, suggesting that foreign capital flows play a crucial role in deter-mining stock market movements. The strong bidirectional relationships highlight the interconnected nature of foreign investment flows and stock market performance.
KEYWORDS
Despite the absence of formal cointegration, the strong long-run relationships, signif-icant error correction mechanism, and extensive causal relationships suggest that FDI, FII, and exchange rates play crucial roles in determining BSE Sensex movements. The interconnected nature of these markets has important implications for policymakers and investors in emerging economies.
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Publication Date
8/26/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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