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Paper ID:IJSREM66858

Impact of Foreign Direct Investment, Foreign Institutional Investment, and Exchange Rate on BSE Sensex: An Econometric Analysis Using ARDL and ECM Approaches

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM66858

Volume:

10 |

8 |

Aug 2026

Pages:

1-11

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM66858

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.

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Authors

MMH

Mohd. Mubashar Hassan

Management Studies

Central University of Kashmir,J&K

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Mentors

PAN

Prof.Fayaz Ahmad Nika

Management Studies

Central University of Kashmir,J&K

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Abstract

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

BSE Sensex FDI FII Exchange Rate ARDL ECM Granger Causality Cointegration

Cite This Article

Mohd. Mubashar Hassan, Prof.Fayaz Ahmad Nika, "Impact of Foreign Direct Investment, Foreign Institutional Investment, and Exchange Rate on BSE Sensex: An Econometric Analysis Using ARDL and ECM Approaches," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 8, pp. 1-11, Aug 2026. https://doi.org/10.55041/IJSREM66858

Full Article/Conclusion

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.

References

1.     Agarwal, R. N. (1997). Foreign portfolio investment in India: Some stylized facts. Eco-nomic and Political Weekly, 32(35), 1876-1882. 2.     Bansal, R., & Singh, P. (2020). FII flows and Indian stock market: A causality analysis. Journal of Financial Economics, 15(3), 45-67. 3.     Bhattacharya, S., & Mukherjee, P. (2019). FDI and stock market development in India: An empirical investigation. Indian Journal of Economics, 99(1), 23-45. 4.     Chakraborty, D., & Basu, S. (2020). FDI-Sensex nexus: An empirical exploration. Journal of Emerging Market Finance, 19(2), 156-178. 5.     Choi, S., & Kim, J. (2018). Exchange rates and stock prices in Asian emerging markets. International Review of Financial Analysis, 58, 45-62. 6.     Dickey, D. A., & Fuller, W. A. (1979). Distribution of the estimators for autoregres-sive time series with a unit root. Journal of the American Statistical Association, 74(366), 427-431. 7.     Dornbusch, R., & Fischer, S. (1980). Exchange rates and the current account. American Economic Review, 70(5), 960-971. 8.     Granger, C. W. J. (1969). Investigating causal relations by econometric models and cross-spectral methods. Econometrica, 37(3), 424-438. 9.     Gupta, S., & Chaudhuri, K. (2021). ARDL approach to foreign capital flows and Indian stock market. International Journal of Financial Studies, 9(2), 34-56. 10.  Kumar, A., & Sharma, V. (2019). FII and stock market returns in India: A Granger causality approach. Indian Journal of Finance, 13(2), 67-89.

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Publication Date

8/26/2026

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