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Showing 2 results for Asgharpur
Dr Hossein Asgharpur, Dr Behzad Salmani, Majid Feshari, Ali Dehghani,
Volume 1, Issue 3 (6-2011)
Abstract
The investigation of determinants in Gross National Saving behavior especially effect of corruption, is one of the important issues in macroeconomics literature.
For this purpose, we use the corruption perception index in dynamic panel data approach (Arellano and Bond Method). The Empirical results indicate that the corruption perception index (reduction of corruption) has positive and significant effect on the gross national saving. The main results of model estimation for two groups of oil and non-oil countries of MENA, shows that in oil countries the elasticity of gross national saving is more than of non-oil countries and reduction of corruption can be increase the national saving in oil countries.
Moreover the results of model estimation shows that the inflation rate has negative effect and real per capita income and terms of trade variables have positive and significant effects on the gross national of saving in these countries.
Hossein Asgharpur, Firouz Fallahi, Naser Sanoubar, Ali Rezazadeh,
Volume 5, Issue 17 (12-2014)
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.
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