Presenting a model for predicting currency crises in Iran

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Davari Mehdi; Hasannejad Mohammad; Fadayinejad Mohammad Esmaeel

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Journal Paper

Paper Information

Journal: JOURNAL OF FINANCIAL MANAGEMENT PERSPECTIVE Year:2022 | Volume:12 | Issue:37 Page(s): 147-173

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Information Journal Paper

Title

Presenting a model for predicting currency crises in Iran

Author(s)

Davari Mehdi | Hasannejad Mohammad | Fadayinejad Mohammad Esmaeel | Issue Writer Certificate

Keywords

Markov Switching Model

Currency Crisis

Foreign Exchange Rate System

Exchange Rate Pattern

Abstract

Identifying the pattern of exchange rate fluctuations makes it easier to predict currency crises and can help prevent or reduce their harmful consequences. The present study seeks to provide a model to better identify the pattern of exchange rate fluctuations and also predict the likelihood of a Currency Crisis in Iran in the future. The degree of government intervention in the foreign exchange market affects how this variable fluctuates,therefore, exchange rate fluctuations in Iran (managed floating exchange rate system) can’t be similar to exchange rate fluctuations in developed countries (floating exchange rate system). Despite the large differences in the exchange rate fluctuations of Iran and developed countries, domestic researchers have used Markov's 2-regime model to identify the pattern of Rial changes. using 3 criteria: maximum likelihood, Akaik, and Hanan Quinn, we show that for detecting the pattern of rial changes, the Markov switching 3-regime model is better than Markov switching 2-regime model. The results also show that 2-regime model fits better with euro and pound fluctuations. Forecasts show that the probability of Iran’s presence in the Currency Crisis Regime in the next one or two years is decreasing and the probability of Relative Stable Regime is increasing. Therefore, we predict that in the coming years, Iran will enter a new period of Relative Stable Regime. The present study has been conducted in the period of 1387 to 1400.

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