Analyzing the demand side of commonality liquidity in the Tehran Stock Exchange market: a non-linear autoregressive approach with NARDL distribution breaks.
In the last few decades, market participants have given considerable attention to the of liquidity in financial markets. Commonality liquidity and shared movements in transaction costs associated with such a phenomenon have significant consequences in the microstructure of the market. The analysis and identification of such commonalities enables the investor and the policy maker to discover the evidence related to inventory risk and asymmetric information in increasing the liquidity of the stock market. From the non-linear autoregression method with NARDL distribution breaks between the seasonal periods of 2008:01 to 2020:12. The asymmetric long-term results show a negative and significant relationship between the positive rate of return shock and Commonality liquidity and a positive and significant relationship between the negative market return shock and commonality liquidity. The variables of monthly investment by institutional investors, commonality liquidity and exchange rate of return have a positive and significant relationship with commonality liquidity. Export logarithm has a negative and significant relationship with, uncommonality liquidity.
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Modeling non-life insurance risks and capital requirements in Iran's insurance company: Coppola's approach
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