Showing 4 results for Ebrahimi
Sajad Ebrahimi,
Volume 2, Issue 3 (3-2011)
Abstract
This study investigates the effects of terms of trade shocks and international reserves on the real effective exchange rate. For this purpose is used panel data technique and data related to 20 countries for 1980- 2008 period. Estimation results show that international reserves have buffer effect in terms of trade shocks and cause terms of trade shocks have less effect on real exchange rate. Of course this result confirms in developing countries, but don’t confirm in developed countries. In addition according to results, reserve effect in reduction terms of trade shocks effect in oil exporting countries is more than other countries. Also, according to estimations in this study, increase in financial development reduces buffer role of international reserves.
Sajad Ebrahimi,
Volume 3, Issue 7 (3-2012)
Abstract
This study examines the theoretical and empirical aspects of the effect of capital inflow on exchange rate in 14 developing countries for the period 1980-2009. We developed an empirical model to investigate the effects of term of trade, real per capita output and trade openness on real exchange rate using d ynamic and heterogeneous panel and Pool Mean Group (PMG) methods. Estimation results show that various capital inflow channels have different effect on real exchange rate. For non-oil countries, only foreign aid inflow causes exchange rate appreciation in long-run and short-run and creates Dutch disease. In oil exporting countries, oil revenues and foreign direct investment cause exchange rate appreciation and create Dutch disease problems in the long-run. However, an increase in oil revenues in oil exporting countries causes more exchange rate appreciation than an increase in foreign direct investment.
Aliakbar Gholizadeh, Mohsen Ebrahimi, Behnaz Kamyab,
Volume 6, Issue 21 (10-2015)
Abstract
In this study, by applyig a combination of Autoregressive Conditional Heteroskedasticity and stochastic differential equations Models with Markowitz model we estimate the optimal portfolio investment in the housing market are discussed. For this purpose, use of assets, stock prices, housing prices, the price of coins and bonds during the period 1999-2013 with the monthly data. Autoregressive Conditional Heteroskedasticity Models and stochastic differential equations results as input variables used to estimate the optimal portfolio Markowitz. Mean-variance analysis shows that during the real estate boom, housing as the dominant assets in risky assets and the largest share of funds to be allocated. During recent periods of recession as the housing sector, the housing of the optimal portfolio investment abroad and instead of stocks and investment coins in the basket of assets is considered dominant. Generally, bonds as risk-free assets in all periods as a reliable asset in the portfolio is considered optimal investor.
Nasrin Ebrahimi, Mehdi Pedram, Mirhossein Mousavi,
Volume 10, Issue 36 (6-2019)
Abstract
The inflation rate, which measured using consumer price index, can be separated into a combination of two persistent and temporary components. This separating is particularly important in analyzing inflation rate and policies to control it. In fact, without knowing the persistent component of inflation, called core inflation, quantitative targeting of inflation may not be accurate. Core inflation as a more persistent component can be measured stripping out the transitory movements in prices. The understanding of the behavior of the national core inflation rate series needs to understand provincial core inflation since the construction of the former is based on the provincial series. So, the purpose of this paper is the estimation of provincial and national core inflation in Iran. Core inflation is unobservable variable, so it estimated using Space State Model and Kalman Filter. Results show that average core inflation in all of the provinces, as well as Iran, is less than average underlying inflation. The standard deviation of core inflation in some provinces is more than underlying inflation. While core inflation in other provinces, as well as Iran, has more standard deviation as compared to underlying inflation.
