analyzing central bank responses to exchange rate volatility in iran
نویسندگان
چکیده
in this paper, based on a new keynesian structure, we have analyzed monetary policy response to exchange rate volatilities in iran. for this purpose, first, exchange rate derived from equilibrium condition in exchange market and then two different models have been estimated. assumption on the first model is that central bank responses to exchange rate volatilities and the assumption on the second model is that central bank does not response. to opt proper model, bayes factor and likelihood ratio tests have been used. the results show that, first model is a better model in describing central bank’s behaviour. in other words, central bank has responded to exchange rate volatilities its coefficient in the monetary rule is -0.12. so, when central bank faces with an exchange rate shock, chooses contractionary monetary policy. this result is consistent with the results from model simulations.
منابع مشابه
The effect of central bank interventions on exchange rate instability using the quantile method in Iran
The purpose of this study is to investigate the effect of central bank interventions in the foreign exchange market on exchange rate instability in Iran. Multiple regression method has been used to estimate the research model. The GARCH model (1, 1) has also been used to estimate exchange rate volatility. The Stavarek index was used to calculate the central bank intervention index. The closer t...
متن کاملSimulating Exchange Rate Volatility in Iran Using Stochastic Differential Equations
The main purpose of this paper is to analyze the exchange rate volatility in Iran in the time period between 2011/11/27 and 2017/02/25 on a daily basis. As a tradable asset and as an important and effective economic variable, exchange rate plays a decisive role in the economy of a country. In a successful economic management, the modeling and prediction of the exchange rate volatility is esse...
متن کاملan appropriate model for exchange rate predictability in iran: comparing potential forecastability
nowadays in trade and economic issues, prediction is proposed as the most important branch of science. existence of effective variables, caused various sectors of the economic and business executives to prefer having mechanisms which can be used in their decisions. in recent years, several advances have led to various challenges in the science of forecasting. economical managers in various fi...
Exchange rate volatility and its effect on stock market volatility
This paper investigates empirically the effect of volatility of the exchange rate of the U.S. dollar vis-à-vis the euro on U.S. stock market volatility while controlling for a number of drivers of stock return volatility. Using a GARCH(1, 1) model and using weekly data covering the period from the week of January 1, 1999 through the week of January 25, 2010, it is found that the 9/11 terrorist ...
متن کاملanalyzing patterns of classroom interaction in efl classrooms in iran
با به کار گیری روش گفتما ن شنا سی در تحقیق حا ضر گفتا ر میا ن آموزگا را ن و زبا ن آموزا ن در کلا سهای زبا ن انگلیسی در ایرا ن مورد بررسی قرار گرفت. ا هداف تحقیق عبا رت بودند از: الف) شنا سا ئی سا ختارهای ارتبا ط گفتا ری میا ن معلمین و زبا ن آموزا ن ب) بررسی تا ثیر نقش جنسیت دبیرا ن و زبا ن آموزان بر سا ختا رهای ارتبا ط گفتا ری میا ن آنها پ) مشخص کردن اینکه آ یا آموزگاران غا لب بر این ارتبا ط گف...
Modelling exchange rate volatility
Two types of statistical models are empirically applied to test the pattern of volatility in the exchange rate markets. One considers the autoregressive models and tests the random walk hypothesis. The other considers the conditional variance process and tests the hypothesis of chaotic dynamics. Empirical results mostly support the random walk hypothesis and also the existence of Lorenz-type ch...
متن کاملمنابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
تحقیقات اقتصادیجلد ۴۹، شماره ۱، صفحات ۱۳۷-۱۵۴
کلمات کلیدی
میزبانی شده توسط پلتفرم ابری doprax.com
copyright © 2015-2023