نتایج جستجو برای: panel garch model jel classification e44

تعداد نتایج: 2569111  

2006
A. Gregoriou R. MacDonald A. Montagnoli

This paper examines the impact of anticipated and unanticipated monetary policy announcements, of the Bank of England’s Monetary Policy Committee on UK sectoral stock returns. The monetary policy shock is generated from the change in the three-month sterling LIBOR futures contract. Using a panel GMM estimator we find that both the expected and unexpected components of monetary changes are signi...

2004
Lars Stentoft

As extensions to the Black-Scholes model with constant volatility, option pricing models with time-varying volatility have been suggested within the framework of generalized autoregressive conditional heteroskedasticity (GARCH). However, application of the GARCH option pricing model has been hampered by the lack of simulation techniques able to incorporate early exercise features. In the presen...

Journal: :تحقیقات اقتصادی 0
جعفر عبادی دانشیار دانشکده ی اقتصاد دانشگاه تهران هاجر جهانگرد دانشجوی دوره ی دکترای اقتصاد دانشگاه تهران

the paper examines for the first time the foreign exchange intervention policy in foreign exchange market of iran. and in this framework, the study designs and simulates the foreign exchange intervention model in iran. in the first section, the paper shows that the injection of oil revenues directly to economy and also the absence of potent structure of output are inclusively caused the central...

2002
John M. Maheu

This paper investigates if component GARCH models introduced by Engle and Lee (1999) and Ding and Granger (1996) can capture the long-range dependence observed in measures of time-series volatility. Long-range dependence is assessed through the sample autocorrelations, two popular semiparametric estimators of the long-memory parameter, and the parametric fractionally integrated GARCH (FIGARCH) ...

2008

We develop a multivariate generalization of the Markov–switching GARCH model introduced by Haas, Mittnik, and Paolella (2004b) and derive its fourth– moment structure. An application to international stock markets illustrates the relevance of accounting for volatility regimes from both a statistical and economic perspective, including out–of–sample portfolio selection and computation of Value– ...

2005
Kevin X.D. Huang Zheng Liu Qi Zhu

This paper empirically estimates a balanced-growth consistent, dynamic, structural model of intertemporal consumption and asset pricing that allows for, but does not assume, the GulPesendorfer preferences of temptation and self-control, using synthetic panel data constructed from the Consumer Expenditure Survey. One novelty of our model is that the cross-sectional distribution of wealth-consump...

Forecasting crude oil price volatility is an important issues in risk management. The historical course of oil price volatility indicates the existence of a cluster pattern. Therefore, GARCH models are used to model and more accurately predict oil price fluctuations. The purpose of this study is to identify the best GARCH model with the best performance in different time horizons. To achieve th...

Journal: :تحقیقات اقتصادی 0
عزت اله عباسیان استادیار گروه اقتصاد دانشگاه بوعلی سینا همدان الهام فرزانگان دانشجوی دوره‎ی دکترای اقتصاد دانشگاه بوعلی سینا همدان

economic stabilization is one of the main government objectives in the economy. one of the most destructive and devastating factors that could damage financial markets, are price bubble formations. thus, bubble creation in stock markets can be considered as a result of investor behaviors, because the market prices mainly reflect investor expectations from firm’s future perspectives. the aim of ...

2015
Andreas Fuest Stefan Mittnik

We introduce a new semiparametric model, GARCH with Functional EX ogeneous Liquidity (GARCH-FunXL), to capture the impact of liquidity, as implied by a stock exchange’s complete electronic limit order book (LOB), on asset price volatility. LOB-implied liquidity can be viewed as a functional rather than scalar or vectorial stochastic process. We adopt recent ideas from the functional data analys...

2000
Amit Goyal

This paper focuses on the performance of various GARCH models in terms of their ability of delivering volatility forecasts for stock return data. Volatility forecasts obtained from a variety of mean and variance specifications in GARCH models are compared to a proxy of actual volatility calculated using daily data. In-sample tests suggest that a regression of volatility estimates on actual vola...

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