نتایج جستجو برای: garch model jel classification
تعداد نتایج: 2504327 فیلتر نتایج به سال:
â â â â â â â â abstract: â up to now, the impact of real exchange rate on the non-oil exports of iran has been mainly on focus. however, the more important aspect of the fluctuations in exchange rate is its degree of volatility which can have profound effect on the non-oil exports. hence, the main objective of this paper is to investigate the linkage between non-oil exports and the real exc...
In this paper we focus on the impact of additive level outliers on the calculation of risk measures such as minimum capital risk requirements and four possible alternatives of reducing these measures’ estimation biases. The first and second alternatives are based on wavelets while the third is based on the traditional proposals in the literature and the three are based on the detection and corr...
The contribution of this paper is twofold. First, we exploit copula methodology, with two threshold GARCH models as marginals, to construct a bivariate copula-threshold-GARCH model, simultaneously capturing asymmetric nonlinear behaviour in univariate stock returns of spot and futures markets and bivariate dependency, in a flexible manner. Two elliptical copulas (Gaussian and Student’s-t) and t...
the major challenge facing iranian economy is its overwhelming dependence on the oil exports. however, the world oil price has been subject to a lot of shocks, which have destabilized the iranian terms of trade. hence, this paper empirically examines the effect of terms of trade volatility on iran’s economic growth over 1967-2006. for this purpose, based on a garch model, a proxy for the terms ...
t he relationship between the price of oil and the level of economic activity is a fundamental empirical issue in macroeconomics. in this research, by using a multivariate garch-in-mean var, we try to investigate direct effects of uncertainty of oil price on macroeconomics of iran by using annually data from 1965 to 2013.results show that uncertainty about oil prices had a negative and signific...
risk prediction plays an increasing role in financial risk management. this study aims to investigate existence of asymmetry and long memory volatility in tehran stock exchange index daily data over period of 1998-2006. 1467 daily index returns are used for volatility modeling via garch (long & short memory) processes for both normal and t-student innovations. the specification and forecasting ...
Up to now, the impact of real exchange rate on the non-oil exports of Iran has been mainly on focus. However, the more important aspect of the fluctuations in exchange rate is its degree of volatility which can have profound effect on the non-oil exports. Hence, the main objective of this paper is to investigate the linkage between non-oil exports and the real exchange rate volatility for Iran...
In this study a regime switching approach is applied to estimate the chartist and fundamentalist (c&f) exchange rate model originally proposed by Frankel and Froot (1986). The empirical results suggest that this model does successfully explain daily DM/Dollar forward exchange rate dynamics from 1982 to 1998. Moreover, our findings turned out to be relative robust by estimating the model in subs...
In this paper we propose a feasible way to price American options in a model with time varying volatility and conditional skewness and leptokurtosis using GARCH processes and the Normal Inverse Gaussian distribution. We show how the risk neutral dynamics can be obtained in this model using the Generalized Local Risk Neutral Valuation Relationship of Duan (1999) and we derive approximation proce...
Exponential models of Autoregressive Conditional Heteroscedasticity (ARCH) are of special interest, since they enable richer dynamics (e.g. contrarian or cyclical), provide greater robustness to jumps and outliers, and guarantee the positivity of volatility. The latter is not guaranteed in ordinary ARCH models, in particular when additional exogenous and/or predetermined variables (“X”) are inc...
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