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On a GJR-GARCH Model with the Standardized Pearson Type IV Distribution

SSRN Electronic Journal, 2013
We examine the efficiency of a GJR-GARCH model where the residuals follow the standardize Pearson type-IV distribution. As a case study we consider the historical daily close price of the Standard and Poor’s index. The model is tested with a variety of loss functions and the efficiency is examined by application of several Value-at-Risk tests and ...
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BAYESIAN ESTIMATION OF THE GJR-GARCH (p, q) MODEL WITH STUDENT-T PRIOR DISTRIBUTION

SDSSU MULTIDISCIPLINARY RESEARCH JOURNAL, 2023
The presence of volatility in many financial time series data is one of the problems that cause the variance to be non-constant. The GJR-GARCH (p, q) is a model that takes into account time-varying volatility, allowing positive and negative shocks to have distinct effects.
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Pricing VIX Futures under the GJR–GARCH Process: An Analytical Approximation Method

The Journal of Derivatives, 2020
This article investigates the performance of GJR-GARCH in pricing VIX futures. We first establish a theoretical relationship between VIX futures price and the model implied VIX, from which an analytical approximation pricing formula is then obtained. We compare the pricing performance of the GJR-GARCH model with the Heston-Nandi model. The results show
Haibin Xie, Mo Zhou, Tinghui Ruan
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Measuring extreme risk of sustainable financial system using GJR-GARCH model trading data-based

International Journal of Information Management, 2020
Abstract This paper investigates the role of gold as a safe haven for stock markets and the US dollar by examining the extreme risk spillovers. The extreme risk is measured by Value at Risk (VaR), which is estimated by GJR-GARCH model based on skewed t distribution.
Xiaomeng Ma   +3 more
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Forecasting of Solar Power Volatility using GJR-GARCH method

2021 IEEE Electrical Power and Energy Conference (EPEC), 2021
Sumana Ghosh, Pawan Kumar Gupta
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Short-Term Electricity Price Forecasting Using Hybrid SARIMA and GJR-GARCH Model

2017
The liberalization of the power markets gained a remarkable momentum in the context of trading electricity as a commodity. With the upsurge in restructuring of the power markets, electricity price plays a dominant role in the current deregulated market scenario which is majorly influenced by the economics being governed. Electricity price has got great
Vipin Kumar   +3 more
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The Search of Structural Changes in Mutual Fund Industry-Based On the ARMAX-GJR-GARCH Model

Asian Journal of Empirical Research, 2013
This study aims to examine the impacts of a bond fund segregation policy event on Taiwan mutual fund industry. In principle, mutual fund industry is a highly regulated industry. However, bond funds focus on pursuing short-term high returns and increasing their scale by investing in structured products with poor liquidity and those offered to clients ...
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