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Option pricing using EGARCH models [PDF]

open access: possible, 1996
Various empirical studies have shown that the time-varying volatility of asset returns can be described by GARCH (generalised autoregressive conditional heteroskedasticity) models. The corresponding GARCH option pricing model of Duan (1995) is capable of depicting the smile-effect which often can be found in option prices.
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Modeling interest rate volatility: an extended EGARCH approach

Managerial Finance, 2012
Purpose – This paper aims to propose a general, yet simple model to estimate interest rate volatility.Design/methodology/approach – The methodology is based on an extended Exponential Generalized ARCH (EGARCH) model that incorporates both interest rate levels as well as past information shocks in the volatility function.
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Forecasting Volatility: A Google Trends Augmented EGARCH Model

SSRN Electronic Journal, 2018
Accurately forecasting volatility is key in many financial applications. In this study, I suggest that individuals gather information online before implementing their trading decisions. In periods of higher investor concern, online information seeking intensifies.
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Revisiting natural resources volatility via TGARCH and EGARCH

Resources Policy, 2022
Yunpeng Luan   +4 more
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Forecasting VIX using two-component realized EGARCH model

The North American Journal of Economics and Finance, 2023
Xinyu Wu, An Zhao, Li Liu
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Analyzing CBRT's FOREX interventions using EGARCH (2001-2006) [PDF]

open access: possible, 2007
The post-2001 period in the Turkish economy witnessed many stabilization efforts and regulations applied by policy makers so as to eliminate the effects of the economic crisis on the economy. Dealing with the monetary policy, these policies were conducted in favor of just-in-time interventions when the volatilities in some main monetary aggregates were
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Forecasting Volatilities and Correlations with EGARCH Models

The Journal of Derivatives, 1993
Robert Cumby   +2 more
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Pemodelan Volatilitas Harian Menggunakan Pendekatan Realized EGARCH-CJ

This study compares the performance of Realized Exponential GARCH (REGARCH) and REGARCH with Continuous and Jump components (REGARCH-CJ) models in modeling the volatility of financial assets based on daily data from Tokyo Stock Prince Index (TOPIX) over the period January 2004 to December 2011.
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