نتایج جستجو برای: using a multivariate garch models full

تعداد نتایج: 14262135  

Journal: :تحقیقات اقتصاد و توسعه کشاورزی ایران 0
حبیبه شرافتمند دانشجوی دکتری اقتصاد کشاورزی دانشگاه آزاد اسلامی، واحد علوم و تحقیقات تهران سعید یزدانی استاد گروه اقتصاد کشاورزی، پردیس کشاورزی و منابع طبیعی دانشگاه تهران رضا مقدسی دانشیار گروه اقتصاد کشاورزی دانشگاه آزاد اسلامی، واحد علوم و تحقیقات تهران

agricultural activities are risky activities. in these activities, various natural, social and economic risks have created fragile and vulnerable situation for producers. price risk in agricultural products has caused financial problems for many producers and farmers. to deal with these price risks and price fluctuations, there are varieties of tools. this paper focused on futures markets instr...

Journal: :تحقیقات اقتصادی 0
سعید صمدی دانشیار رشتة اقتصاد، دانشگاه اصفهان علی خرمی پور دانشجوی کارشناسی ارشد علوم اقتصادی، دانشگاه اصفهان انسیه مصدقی دانشجوی کارشناسی ارشد علوم اقتصادی، دانشگاه اصفهان سیده اکرم میرمهدی دانشجوی کارشناسی ارشد علوم اقتصادی، دانشگاه اصفهان

oil-exporting economies largely dependent on oil revenues and oil income fluctuation are one of the most important factors that influence sectors of the economy specially the stock market. this paper investigate the relationship between oil markets and stock return volatility and transmission in a selection of opec countries, using a multivariate garch models (full-vech) over the period may 201...

Journal: Iranian Economic Review 2020

H igh price volatility and the risk are the main features of commodity markets. One way to reduce this risk is to apply the hedging policy by future contracts. In this regard, in this paper, we will calculate the optimal hedging ratios for OPEC oil. In this study, besides the multivariate GARCH models, for the first time we use conditional copula models for modelling dependence struc...

2011
Sébastien Laurent Jeroen V.K. Rombouts Francesco Violante

This paper addresses the question of the selection of multivariate GARCH models in terms of variance matrix forecasting accuracy with a particular focus on relatively large scale problems. We consider 10 assets from the NYSE and compare 125 model based one, five and twenty-day ahead conditional variance forecasts over a period of 10 years using the Model Confidence Set (MCS) and the Superior Pr...

2008
Kun Zhang Laiwan Chan

We reveal that in the estimation of univariate GARCH or multivariate generalized orthogonal GARCH (GO-GARCH) models, maximizing the likelihood is equivalent to making the standardized residuals as independent as possible. Based on that, we propose three factor GARCH models in the framework of GO-GARCH: independent-factor GARCH exploits factors that are statistically as independent as possible; ...

2004
Christian M. Hafner Helmut Herwartz

Tests of causality in variance in multiple time series have been proposed recently, based on residuals of estimated univariate models. Although such tests are applied frequently little is known about their power properties. In this paper we show that a convenient alternative to residual based testing is to specify a multivariate volatility model, such as multivariate GARCH (or BEKK), and constr...

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