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Showing 9 results for Asymmetric

Dr Mohamad Ali Motafakkerazad, Aidin Ghafarnejad Mehraban, ,
Volume 2, Issue 4 (6-2011)
Abstract

Monetary shocks are one of the control tools in economic systems. A true perception of these shocks on economic systems can lead us to a suitable policy. In this paper, the impact of monetary shocks on output in Iran has been modeled and investigated using artificial neural networks. We investigated positive and negative shocks separately and confirmed asymmetric effect of these shocks. In addition, nonlinear natures of output changes considering magnitude of shocks were obtained. Results show that optimal condition of monetary shocks to gain maximum output growth can be reached using artificial neural network. In other words, symmetric or asymmetric behavior of monetary shocks depends on economic situation in considered year or period. In addition to, investigation of monetary shocks effect (positive or negative impact) on the production changes, depending on the shock value and this shocks do not have an only particular Effect on production changes. Its can be different.
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.
Dr Akbar Komijani, Hossein Tavakoliyanh,
Volume 2, Issue 6 (12-2011)
Abstract

According to Taylor (1993) rule, the monetary authority responds to deviations of output and of inflation from their targets through nominal interest rate fluctuations regarded as policy instrument. Another specification that has received considerable attention is that policymakers may have asymmetric preferences with regard to their objectives during recessions and expansions. Since according to Law for Usury (Interest) Free Banking of Iran, the objective of the central bank is not the control of interest rate, instead it is money growth rate which is used as an instrument, in this study we introduce a money growth rate reaction function and we use it to test the asymmetry in central bank behavior during recessions and expansions. The estimation results of a Markov Switching model for the period 1367:1 to 1387:2 show that the central bank sensitivity toward output is more during the recessions while its sensitivity toward inflation is more during the expansions.
Mehdi Pedram, Shamsollah Shirinbakhsh Masulle, Bahare Rezaei Abyaneh,
Volume 3, Issue 9 (10-2012)
Abstract

A standard assumption in the empirical literature is that exchange rate pass-through is both linear and symmetric. This implies that size (large-versus-small exchange rate changes) and direction (currency appreciations-versus-depreciations) have similar effects. In this paper these assumptions have investigated for Iran's export prices. So, this paper examines the asymmetric exchange rate pass-through to the monthly import price index in Iran during 1997:1–2010:9. Therefore positive and negative exchange rate shocks have been separated using Mork Criteria and large and small exchange rate changes by determining a threshold. The results show that the response of export prices to currency appreciation and depreciation is asymmetric. So, the negative exchange rate shocks have a greater effect on the export prices than the positive exchange rate shocks. According to our estimation results, there is a threshold at 1.3% of monthly changes in exchange rate of Iran and also export prices react asymmetrically to exchange rate at around this threshold. If both direction and size effects are considered, we find that export prices respond asymmetrically to large and small appreciations and depreciations.


Hamed Abdolmaleki, Hossein Asgharpur, Jafar Hghighat,
Volume 8, Issue 28 (7-2017)
Abstract

Money supply and velocity of money are important variables that affect inflation and product. Velocity of money is a key concept for economic policy, and it's getting more important since it is closely related to behavior of the demand for money. In this regard, Friedman believes that the volatility of money growth is the main factor of velocity of money, which in monetary economics literature is known as Friedman’s monetary volatility hypothesis. The purpose of this study is to explore and explain the fluctuations in the velocity of mony from the perspective of Monetarism. In this regard, using Iran’s economic quarterly data for the period 1988(3)-2015(1) and in the framework of causality test, the Friedman hypothesis based on the impact of volatility of money growth on velocity of money is tested for monetary aggregates (M1 and M2). The model used in this paper is extended VARMA, GARCH-M and the estimated method is quasi maximum likelihood (QML). The results support the Friedman hypothesis for the period under study; in other words, there is a causal relationship from money growth volatility to velocity of money.

Bahram Sahabi, Hossein Asgharpur, Saeed Qorbani,
Volume 8, Issue 29 (10-2017)
Abstract


In this study, using Dynamic Stochastic General Equilibrium Model (DSGE model) the hypothesis of asymmetry of monetary shocks in the Iranian business cycle during the period of 1979-2012 is tested on macroeconomic variables. The designed model broadens the analytical framework of dynamic equilibrium models with respect to the economic characteristics of an oil-exporting country. To extract business cycles, the Hodrick-Prescott filtering process has been used. The results of the research indicate that the effects of positive and negative monetary shocks during ascendancy and economic prosperity are asymmetric, so that the effect of positive shock during the recession period in the Iranian economy during the studied period was stronger than the negative shock level. On the other hand, the results show that the effect of positive shocks during the boom period in the Iranian economy on the price level changes its size in proportion to the size of the shock; however, the effect of negative shocks during the boom on the level of prices initially reduced inflation and then after a short time Inflation increases again. Therefore, it can be stated that in the economy of Iran both inflation and economic boom will increase. In the case of production and investment, this asymmetry is in a way that results in a broader expansionary policy in a recession and, in economic prosperity, the optimal political policy is contractionary.
Moloud Rahmaniani, Reza Taleblo,
Volume 8, Issue 29 (10-2017)
Abstract

The level of asymmetric information in financial markets is important for its impact on the market formation, price levels and its interaction with investment risk. Also, determining the optimal rules by policy makers and determining the trading strategy by investors is done according to the level of information symmetry in the market. In financial literature, many metrics have been developed to measure the asymmetry of market information. In recent years, another measure known as probability of informed trading (PIN) has been introduced to measure the level of asymmetric information, based on the framework of market microstructure. Larger PINs from 0 to 1 range indicate higher information asymmetry levels. In this study, using the Easley, O'Hara (1992) approach, the probability informed trading as a measure of the level of market information asymmetry for the 12 selected companies from listed companies in Tehran Stock Exchange is estimated. We used maximum likelihood to estimate parameters with R package. The results show that average of PIN varies from 0.35 to 0.4 for different companies.

Mohammad Sarrafi Zanjani, Nader Mehregan,
Volume 9, Issue 33 (10-2018)
Abstract

Studying currency shocks impact on the stock market could be beneficial regarding to exchange rate fluctuations caused by various exchange policies in recent years. Therefore symmetrical or asymmetrical impacts of negative and positive dollar shockwaves in the market on indexes of chemical and basic metals industry are under investigation by weekly data collected since 2006 up to 2016 as these two industries have the most non-oil exports of Iran. First existence of long-term equilibrium relationship was examined by Pesaran Bound test and confirmed. Afterwards in addition to admitting asymmetric effect of positive and negative foreign exchange shocks on the indexes using WALD test, based on the results of the main model of the research which is the Nonlinear Autoregressive Distributed Lag (NARDL), effects of increasing in dollar rate on both indexes are positive and meaningful and the effect of its decreasing is meaningless. In addition the extracted coefficients indicates deeper effects of free dollar rate on the chemical index in comparison with index of the basic metals. OPEC crude oil, which is the control variable considered in this article has a direct and significant effects on both indicators on the short and long term.

Mojtaba Rostami, Seyed Nezamuddin Makiyan,
Volume 11, Issue 41 (10-2020)
Abstract

Volatility is a measure of uncertainty that plays a central role in financial theory, risk management, and pricing authority. Turbulence is the conditional variance of changes in asset prices that is not directly observable and is considered a hidden variable that is indirectly calculated using some approximations. To do this, two general approaches are presented in the literature of financial economics for modeling and calculating volatility. In the first approach, conditional variance is modeled as a function of the square of the past shocks of return on assets. Models of the GARCH type fall into this category. In the alternative approach, volatility is assumed to be a random variable, which evolves using nonlinear patterns of Gaussian state space. This type of model is known as Stochastic Volatility (SV).  Because, SV models include two kinds of noise processes, one for observations and another for hidden, volatility, thus, they are more realistic and more flexible in calculating volatility than GARCH type.  This study attempts to analyze the volatility in stock returns of 50 companies, which are active in Tehran Stock Market using symmetric and asymmetric methods of Stochastic Volatility, which is different in the presence of leverage effect. The empirical comparison of these two models by calculating the posterior probability of accuracy of each model using the MCMC Bayesian method represents a significant advantage of the ASV model. The results in both symmetric and asymmetric methods represent the very high stability of the volatility generated by the shocks on stock returns; therefore, the Tehran Stock market changes in returns due to this high sustainability will be predictable.


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