Results 61 to 70 of about 13,849,659 (169)
Spillovers Into the German Electricity Market From the Gas, Coal, and CO2 Emissions Markets
Journal of Futures Markets, Volume 45, Issue 9, Page 1253-1277, September 2025.ABSTRACT This paper investigates the mean, volatility, skewness, and kurtosis of price spillovers from the natural gas, coal, and CO2 emissions markets into the German electricity market from 2010 to July 2023, segmented into three periods: pre‐Russo‐Ukrainian war, war‐triggered price rise, and postwar adjustment. Utilizing a flexible probability model
Filippos Ioannidis +2 more
wiley +1 more source
This study is aimed at investigating the asymmetric and time-frequency co-movements and the hedge or safe-haven properties of carbon efficient indices, the MSCI ACWI Sustainable Impact, and MSCI World EGS indices, in relation to technology and innovation-
Chunhui Huo (4849138) +2 more
core +1 more source
Extended Multivariate EGARCH Model: A Model for Zero‐Return and Negative Spillovers
Journal of Forecasting, Volume 44, Issue 4, Page 1266-1279, July 2025.ABSTRACT This paper introduces an extended multivariate EGARCH model that overcomes the zero‐return problem and allows for negative news and volatility spillover effects, making it an attractive tool for multivariate volatility modeling. Despite limitations, such as noninvertibility and unclear asymptotic properties of the QML estimator, our Monte ...
Yongdeng Xu
wiley +1 more source
Seize the Moments: Approximating American Option Prices in the GARCH Framework [PDF]
This paper proposes an efficient approach to compute the prices of American style options in the GARCH framework. Rubinstein's (1998) Edgeworth tree idea is combined with the analytical formulas for moments of the cumulative return under GARCH developed ...
Caroline Sasseville +3 more
core
MathematicsThis study examines the modelling and forecasting of South African macroeconomic and financial time series using a comparative framework based on Vector Autoregressive (VAR), Vector Autoregressive Moving Average (VARMA), and GARCH-type models.
Thatoyaone Johannes Modise +2 more
doaj +1 more source
, 2007 This paper investigates the forecasting ability of four different GARCH models and the Kalman filtermethod. The four GARCH models applied are the bivariate GARCH, BEKK GARCH, GARCH-GJRand the GARCH-X model. The paper also compares the forecasting ability
Wu, Hao, Choudhry, Taufiq
core +1 more source
Empirical analysis of stock asymmetric volatility based on EGARCH and GJR-GARCH model [PDF]
, 2014 학위논문 (석사)-- 서울대학교 대학원 : 통계학과, 2014. 2. 임요한.This paper investigate the time series behavior of stock returns for KOSDAQ, KOSPI daily index. The Volatility effects in financial time series vary according to the signs of the return rates.
정현석
core
Theory and Inference for a Markov-Switching GARCH Model [PDF]
We develop a Markov-switching GARCH model (MS-GARCH) wherein the conditional mean and variance switch in time from one GARCH process to another. The switching is governed by a hidden Markov chain. We provide sufficient conditions for geometric ergodicity
Jeroen V.K. Rombouts +2 more
core +6 more sources
Green Hydrogen Market and Green Cryptocurrencies: A Dynamic Correlation Analysis
CommoditiesThe urgent need to mitigate climate change has elevated green hydrogen as a sustainable alternative to fossil fuels, while green cryptocurrencies have emerged to address the environmental concerns of traditional cryptocurrency mining.
Eder J. A. L. Pereira +2 more
doaj +1 more source
Time‐varying volatility modelling of Baltic stock markets
Journal of Business Economics and Management, 2010 As time‐varying volatility has found applications in roughly all time series modelling in economics, it largely draws attention in the areas of financial markets.
Bora Aktan +2 more
doaj +1 more source