Estimating informative efficiency in financial market is crucial for investors. They can gain unusual profit when the market is inefficient. As informative efficiency is evolving and undergoing changes in emerging markets such as Iran, classic methods for efficiency est More
Estimating informative efficiency in financial market is crucial for investors. They can gain unusual profit when the market is inefficient. As informative efficiency is evolving and undergoing changes in emerging markets such as Iran, classic methods for efficiency estimation in these kind of financial markets are not suitable. Therefore, in such markets a hybrid method needs to be applied in such a way that the existing status of efficiency (static approach) and the efficiency during time (dynamic approach- in the absence of static efficiency) can be studied. The present study aims to determine the efficiency of Tehran Stock Exchange market by both static and dynamic approach. In order to obtain this goal, a combination of TVPGARCH and Kalman filter methods were applied on weekly total price index data during 2008 to 2017. Results indicate that the performance in Tehran Stock Exchange market in the static form does not have week efficiency. On the other hand, there is no evidence of efficiency dynamicity in Tehran Stock Exchange market performance during the studied period.
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Identifying the important factors of risk and return and optimal resources is one of the most important element to reach the maximum return. This would help individuals and institutions investors searching the best strategy to help them reaching this. This research try More
Identifying the important factors of risk and return and optimal resources is one of the most important element to reach the maximum return. This would help individuals and institutions investors searching the best strategy to help them reaching this. This research try to study the five factor arbitrage pricing model based on the Cerhat four factor model plus stock liquidity and testing the empirical model in Iran Stock ExchangeFor do that we have used the panel data model for the period of 2008-2012 for 173 active unit in Tehran Stock Exchange
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