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Ali Rezazadeh; Roghayeh Mohseninia
Abstract
This study provides a comprehensive and different sight at the theoretical literature of the relationship between financial stress index and financial markets and presents a new method in order to investigate the nonlinear relationship between the financial stress index and financial markets for Iran's ...
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This study provides a comprehensive and different sight at the theoretical literature of the relationship between financial stress index and financial markets and presents a new method in order to investigate the nonlinear relationship between the financial stress index and financial markets for Iran's financial system. To that end, the time-varying Granger-causality tests were used. After calculating the financial stress index, the causality between these variable and other variables (gold price, exchange rate, and stock price index) was evaluated. The time-varying causality tests included forward, rolling, and recursive estimators from April 2005 to December 2019. All results were recalculated regarding time series variance heterogeneity for sensitivity assessment. The estimation findings were more credible in terms of variance heterogeneity due to the monthly nature of the data employed and the high probability of variance heterogeneity. The estimation results with variance heterogeneity and time-varying Granger-causality variable test used to investigate the relationship between financial stress and the stock market also revealed no evidence of causality between financial stress and the stock price index using forward and rolling algorithms. Findings indicate that the financial stress is the source of variations in the Iranian gold market, it does not affect the currency or stock markets.
Amir T. Payandeh Najafabadi; Marjan Qazvini; Reza Ofoghi
Abstract
There are several researches that deal with the behavior of SEs and their relationships with different economical factors. These range from papers dealing with this subject through econometrical procedures to statistical methods known as copula. This article considers the impact of oil and gold price ...
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There are several researches that deal with the behavior of SEs and their relationships with different economical factors. These range from papers dealing with this subject through econometrical procedures to statistical methods known as copula. This article considers the impact of oil and gold price on Tehran Stock Exchange market (TSE). Oil and gold are two factors that are essential for the economy of Iran and their price are determined in the global market. The model used in this study is ARIMA-Copula. We used data from January 1998 to January 2011 as training data to find the appropriate model. The cross validation of model is measured by data from January 2011 to June 2011. We conclude that: (i) there is no significant direct relationship between gold price and the TSE index, but the TSE is indirectly influenced by gold price through other factors such as oil; and (ii) the TSE is not independent of the volatility in oil price and Clayton copula can describe such dependence structure between TSE and the oil price. Based on the property of Clayton copula, which has lower tail dependency, as the oil price drops, stock index falls. This means that decrease in oil price has an adverse effect on Iranian economy.
