Showing 2 results for Rezazadeh
Dr Alireza Kazerooni, Ali Rezazadeh, Siavash Mohammadpoor,
Volume 2, Issue 5 (10-2011)
Abstract
The main purpose of this article is to investigate the asymmetric effects of the real exchange rate shocks on the non-oil exports of Iran in the period of 1974-2007. For this purpose, using nonlinear Markov-Switching approach, positive and negative shocks of the real exchange rate have been extracted. Based on the results of the Log Likelihood Function and Akaike Information Criterion, the best Markov- Switching model has been specified as MSIH with three regimes for estimating the exchange rate shocks. After extracting the exchange rate shocks, in the next step, the main model of the research has been estimated by using the Johansen-Juselius and DOLS co-integration approaches. Results show that the impact of some explanatory variables (GDP of home country, GDP of Foreign country, Terms of Trade and Openness) on the non-oil exports of Iran has been positive and statistically significant at 95% level of confidence. However, the impact of both positive and negative shocks on the non-oil exports has been negative. Overall, the main hypothesis of symmetrical impacts of the exchange rate shocks has been rejected.
Hossein Asgharpur, Firouz Fallahi, Naser Sanoubar, Ali Rezazadeh,
Volume 5, Issue 17 (10-2014)
Abstract
The main goal of this research is to calculate VaR index with parametric Markov-Switching GARCH approach for accepted companies in Tehran Stock Exchange and also selecting the optimal portfolio of their stocks. To calculate the index, data and information of weekly stock price of 10 representative firms during the period 2008-2014 has been used which account for 332 working weeks.
The results from estimation of VaR and determination of optimal stock portfolio in the non-linear programming framework showed that optimal portfolio of food-industry companies stock, in the context of VaR has higher returns and risk in the first regime (Boom period) compared to the second regime ( recession period). On the other hand, it has had lower weight in both stock portfolios that had lower average returns compared to the rest of the stocks and compared to the stocks which had lower VaR relative to other stocks that has higher weights.
The Kupiec and Lopez back testing using 10 future week data, showed that both of approaches is valid but the parametric approach has better rank. Therefore the optimal portfolios of stocks under parametric VaR will be accepted as final optimal portfolio.
