Exchange Rate Dynamics and Foreign Direct Investment in India: Evidence from a Quantile ARDL Approach

This study empirically investigates the impact of exchange rate volatility on foreign direct investment inflows to India from 1990 to 2023, addressing a crucial dimension of macroeconomic stability in emerging economies. Recognizing that currency fluctuations significantly influence multinational corporations’ investment decisions, understanding this impact is vital for effective economic policy. Utilizing annual time series data from the Reserve Bank of India and the World Bank, the study employs the Quantile Autoregressive Distributed Lag (QARDL) modeling framework to capture both short-run and long-run dynamics. Unlike conventional mean-based estimators, the QARDL framework captures heterogeneous effects across different points of the FDI distribution, allowing for a more comprehensive understanding of how macroeconomic factors influence investment under varying economic conditions. The empirical results reveal significant asymmetries in the relationship between exchange rate fluctuations and FDI inflows. In the long run, exchange rate depreciation positively influences FDI inflows, particularly at the median and upper quantiles of the FDI distribution, suggesting that currency competitiveness becomes more important when investment inflows are already moderate or strong. In contrast, the exchange rate effect is statistically insignificant at lower quantiles, indicating that currency movements alone are insufficient to attract foreign investment when inflows are weak. These results offer valuable empirical insights for policymakers seeking to enhance macroeconomic resilience and promote long-term capital inflows in developing countries.