Impact of exchange rate on uncertainty in stock market: Evidence from Markov regime-switching GARCH family models

Mehdi Zolfaghari, Saeid Hoseinzade and Numan Ulku

Cogent Economics & Finance, 2020, vol. 8, issue 1, 1802806

Abstract: We employ the Markov Regime-Switching GARCH (MRS- GARCH) family models under the normal, Student’s t-, and GED distributions to measure the uncertainty of the industry index returns (IIR) of Tehran Stock Exchange over the period of 2013–2019. The models distinguish between two different regimes in both conditional mean and conditional variance. The results show that the MRS-EGARCH-in-mean (MRS-EGARCH-M) models under GED and Student’s t-distributions have the best performance to model the IIR volatility. We find evidence of regime-switching behaviour in Iran’s stock market. After removing the forecastable component (expected variation) from the best fitted models, we measure the time series of the IIR uncertainty (unforecastable component) and estimate the impact of exchange rate fluctuations on them using an autoregressive distributed lag (ARDL) model. We find that foreign exchange rate fluctuations have a significant and distinct impact on the IIR uncertainty across various regimes. The results show that the exchange rate generally has a negative and positive impact on the IIR uncertainty for export and import-oriented industries, respectively, under both regimes.

Date: 2020
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DOI: 10.1080/23322039.2020.1802806

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