نتایج جستجو برای: الگوی garch

تعداد نتایج: 48134  

2007
J. Duan Z. Sun

This paper considers the pricing of options when there are jumps in the pricing kernel and correlated jumps in asset returns and volatilities. Our model nests Duan’s GARCH option models where conditional returns are constrained to being normal, as well as extends Merton’s jump-diffusion model by allowing return volatility to exhibit GARCH-like behavior. Empirical analysis on the S&P 500 index r...

ژورنال: :دانش مالی تحلیل اوراق بهادار 2014
مهدی پدرام شمس اله شیرین بخش ماسوله آمنه روستایی

چکیدهدراین مقاله، به بررسی اثرات نامتقارن تکانه های تورم بر قیمت سهام بورس اوراق بهادار تهران پرداخته میمحاسبه کرده و سپس اثر این تکانه garch شود، به این صورت که ابتدا تکانه های تورم را با استفاده از روشتجزیه و تحلیل (irf) ها بر قیمت سهام بورس اوراق بهادار تهران با استفاده از تکنیک تابع عکس العمل آنی1390 به کار گرفته - بررسی می گردد. برای این بررسی، داده های فصلی طی دوره زمانی 1370 (vdc) واریان...

2014
Melike Bildirici Özgür Ersin

The study has two aims. The first aim is to propose a family of nonlinear GARCH models that incorporate fractional integration and asymmetric power properties to MS-GARCH processes. The second purpose of the study is to augment the MS-GARCH type models with artificial neural networks to benefit from the universal approximation properties to achieve improved forecasting accuracy. Therefore, the ...

2000
Carol Alexander

The skewness in physical distributions of equity index returns and the implied volatility skew in the risk neutral measure are subjects of extensive academic research. Much attention is now being focused on models that are able to capture time-varying conditional skewness and kurtosis. For this reason normal mixture GARCH(1,1) models have become very popular in financial econometrics. We introd...

1997
Steven L. Heston John M. Olin Saikat Nandi

This paper develops a closed-form option pricing formula for a spot asset whose variance follows a GARCH process. The model allows for correlation between returns of the spot asset and variance and also admits multiple lags in the dynamics of the GARCH process. The single-factor (one-lag) version of this model contains Heston’s (1993) stochastic volatility model as a diffusion limit and therefo...

2010
Jibendu Kumar Mantri

The present study aims at applying different methods i.e GARCH, EGARCH, GJRGARCH, IGARCH & ANN models for calculating the volatilities of Indian stock markets. Fourteen years of data of BSE Sensex & NSE Nifty are used to calculate the volatilities. The performance of data exhibits that, there is no difference in the volatilities of Sensex, & Nifty estimated under the GARCH, EGARCH, GJR GARCH, I...

Journal: :Neurocomputing 2016
Jairo Marlon Corrêa Anselmo Chaves Neto Luiz Albino Teixeira Junior Edgar Manoel Careño Álvaro Eduardo Faria

It is well-known that causal forecasting methods that include appropriately chosen Exogenous Variables (EVs) very often present improved forecasting performances over univariate methods. However, in practice, EVs are usually difficult to obtain and in many cases are not available at all. In this paper, a new causal forecasting approach, called Wavelet Auto-Regressive Integrated Moving Average w...

2008
Abdelhakim Aknouche Abdelouahab Bibi

This paper establishes the strong consistency and asymptotic normality of the quasi-maximum likelihood estimator (QMLE) for a GARCH process with periodically time-varying parameters. We first give a necessary and sufficient condition for the existence of a strictly periodically stationary solution for the periodic GARCH (P -GARCH) equation. As a result, it is shown that the moment of some posit...

2003
JEFF FLEMING

We show that, for three common SARV models, fitting a minimum mean square linear filter is equivalent to fitting a GARCH model. This suggests that GARCH models may be useful for filtering, forecasting, and parameter estimation in stochastic volatility settings. To investigate, we use simulations to evaluate how the three SARV models and their associated GARCH filters perform under controlled co...

2006
Henghsiu Tsai

We consider the parameter restrictions that need to be imposed in order to ensure that the conditional variance process of a GARCH(p, q) model remains non-negative. Previously, Nelson and Cao (1992) provided a set of necessary and sufficient conditions for the aforementioned non-negativity property for GARCH(p, q) models with p ≤ 2, and derived a sufficient condition for the general case of GAR...

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