بررسی رفتار غیرخطی بی ثباتی مالی در ایران: رهیافت خودرگرسیون برداری ساختاری آستانه ای

Examining the Nonlinear Behavior of Financial Instability in Iran: A Threshold Structural Vector Autoregression Approach

Soheil Roudari, Pegah Zarei and Amirmansour Tehranchian

MPRA Paper from University Library of Munich, Germany

Abstract: This study investigates the role of positive and negative shocks to the exchange rate, stock market index, and oil prices in the upper and lower threshold regimes of stock market index growth, using a Threshold Structural Vector Autoregression (TSVAR) model. The analysis employs monthly data for the period 2009:01–2018:11. The findings indicate that financial instability in Iran exhibits nonlinear behavior. Based on the impulse response functions, when stock market index growth is above the estimated threshold (6.8 percent), positive and negative shocks to oil prices, the exchange rate, and the stock index have asymmetric effects on the financial instability index. However, below the threshold, positive and negative shocks to these variables display asymmetric effects on financial instability only in certain periods. According to the results, institutional support for the stock market does not necessarily reduce financial instability under all circumstances. When stock market growth exceeds the 6.8 percent threshold, positive shocks to the stock index increase financial instability; yet below the threshold, they may contribute to reducing financial instability. Furthermore, exchange rate stability is essential to prevent positive exchange rate shocks from increasing financial instability.

Keywords: Financial instability; Stock market threshold; MIMIC model; THSVAR model (search for similar items in EconPapers)
JEL-codes: C22 C33 F31 G32 (search for similar items in EconPapers)
Date: 2020-08-06, Revised 2021-01-30
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Published in Macroeconomics Research Letter 30.15(2021): pp. 168-192

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