Results 11 to 20 of about 51,403 (193)

Regime switching GARCH models [PDF]

open access: yesSSRN Electronic Journal, 2006
We develop univariate regime-switching GARCH (RS-GARCH) models wherein the conditional variance switches in time from one GARCH process to another. The switching is governed by a time-varying probability, specified as a function of past information.
Arie, PREMINGER   +2 more
core   +6 more sources

Multivariate GARCH Models [PDF]

open access: yesSSRN Electronic Journal, 2008
This article contains a review of multivariate GARCH models. Most common GARCH models are presented and their properties considered. This also includes nonparametric and semiparametric models. Existing specification and misspecification tests are discussed.
Silvennoinen, Annastiina   +1 more
openaire   +5 more sources

GARCH Modeling of Cryptocurrencies [PDF]

open access: yesSSRN Electronic Journal, 2017
With the exception of Bitcoin, there appears to be little or no literature on GARCH modelling of cryptocurrencies. This paper provides the first GARCH modelling of the seven most popular cryptocurrencies. Twelve GARCH models are fitted to each cryptocurrency, and their fits are assessed in terms of five criteria.
Chu, Jeffrey   +3 more
openaire   +2 more sources

Empirical Testing of Models of Autoregressive Conditional Heteroscedasticity Used for Prediction of the Volatility of Bulgarian Investment Funds

open access: yesRisks, 2023
The relevance of the development is determined by the possibility of testing a complex analytical methodology for forecasting the daily volatility of Bulgarian investment funds, which will support the investment community in making adequate investment ...
Mariana Petrova, Teodor Todorov
doaj   +1 more source

Stable Mixture GARCH Models [PDF]

open access: yesSSRN Electronic Journal, 2011
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Broda, Simon A   +4 more
openaire   +5 more sources

Comparison and Forecasting of VaR Models for Measuring Financial Risk: Evidence from China

open access: yesDiscrete Dynamics in Nature and Society, 2022
With increasing extremal risk, VaR has been becoming a popular methodology because it is easy to interpret and calculate. For comparing the performance of extant VaR models, this paper makes an empirical analysis of five VaR models: simple VaR, VaR based
Yuling Wang, Yunshuang Xiang, Huan Zhang
doaj   +1 more source

The application of the hybrid copula-GARCH approach in the simulation of extreme discharge values

open access: yesApplied Water Science, 2022
Statistical analysis and simulation of annual maximum discharge values, while considering the corresponding maximum daily rainfall, provide a comprehensive view of flood management.
Mohammad Nazeri Tahroudi   +2 more
doaj   +1 more source

Forecasting the volatility of EUA futures with economic policy uncertainty using the GARCH-MIDAS model

open access: yesFinancial Innovation, 2021
This study investigates the impact of economic policy uncertainty (EPU) on the volatility of European Union (EU) carbon futures prices and whether it has predictive power for the volatility of carbon futures prices.
Jian Liu   +3 more
doaj   +1 more source

A LATIN AMERICAN MARKET ASSET VOLATILITY ANALYSIS: A COMPARISON OF GARCH MODEL, ARTIFICIAL NEURAL NETWORKS AND SUPPORT VECTOR REGRESSION

open access: yesApplied Computer Science, 2023
The objective of this research was to compare the effectiveness of the GARCH method with machine learning techniques in predicting asset volatility in the main Latin American markets.
Victor CHUNG, Jenny ESPINOZA
doaj   +1 more source

Calculating Value at Risk: DCC-GARCH-Copula Approach [PDF]

open access: yesفصلنامه پژوهش‌های اقتصادی ایران, 2020
In this paper, in order to calculate portfolio market risk of 10 selected industries indices in Tehran Stock Exchange, two models of Value Risk (VaR) and Expected shortfall (ES) have been used.
Reza Taleblou, Mohammad Mahdi Davoudi
doaj   +1 more source

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