Volatilities and Conditional Correlations in Futures Markets with a Multivariate t Distribution [PDF]
This paper considers a multivariate t version of the Gaussian dynamic conditional correlation (DCC) model proposed by Engle (2002), and suggests the use of devolatized returns computed as returns standardized by realized volatilities rather than by GARCH
Bahram Pesaran, M. Hashem Pesaran
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An empirical investigation of investor sentiment and volatility of realty sector market in India: an application of the DCC-GARCH model. [PDF]
SN Bus Econ, 2023 Pillada N, Rangasamy S.
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Research on the Hedge Ratio of China's Crude Oil Futures — Based on DCC-GARCH Model
Modern Economics & Management Forum, 2021 Crude oil plays an important role in economic development. This paper chooses China’s crude oil futures and crude oil actuals as the research objects, and builds the DCC-GARCH model to study the hedge ratio under the risk minimization standard. The hedge ratios obtained from the DCC-GARCH model will be compared with those obtained from OLS, B-VAR and ...
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A generalized dynamic conditional correlation model for many asset returns [PDF]
In this paper we put forward a generalization of the Dynamic Conditional Correlation (DCC) Model of Engle (2002). Our model allows for asset-specific correlation sensitivities, which is useful in particular if one aims to summarize a large number of ...
Franses, Ph.H.B.F., Hafner, C.M.
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Impact of the COVID-19 pandemic on return and risk transmission between oil and precious metals: Evidence from DCC-GARCH model. [PDF]
Resour Policy, 2022 Yıldırım DÇ, Esen Ö, Ertuğrul HM.
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Conditional Correlations and Volatility Spillovers Between Crude Oil and Stock Index Returns [PDF]
This paper investigates the conditional correlations and volatility spillovers between crude oil returns and stock index returns. Daily returns from 2 January 1998 to 4 November 2009 of the crude oil spot, forward and futures prices from the WTI and ...
Chang, C-L. +2 more
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The impact of crude oil prices on Chinese stock markets and selected sectors: evidence from the VAR-DCC-GARCH model. [PDF]
Environ Sci Pollut Res Int, 2022 Hashmi SM, Ahmed F, Alhayki Z, Syed AA.
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Practical volatility and correlation modeling for financial market risk management [PDF]
, 2005 What do academics have to offer market risk management practitioners in financial institutions? Current industry practice largely follows one of two extremely restrictive approaches: historical simulation or RiskMetrics.
Andersen, Torben G. +3 more
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Cogent Economics & FinanceThis study explores the volatility spillover effects between clean and dirty cryptocurrencies and key financial indices, specifically focusing on Green Finance Indices (such as solar, wind, and nuclear) and Economic Indices (like the Baltic Dry Index and
Iulia Cristina Iuga +2 more
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R2 decomposed connectedness measures and multivariate portfolio techniques using DCC-GARCH models
, 2023 In this study, we investigate the return propagation mechanism across four clean energy indices, namely, the NASDAQ OMX Green Economy Index, NASDAQ OMX Solar Energy Index, NASDAQ OMX Wind Energy Index, and NASDAQ OMX Geothermal Energy Index ranging from December 21st, 2010 until June 2nd, 2023 by using a novel DCC-GARCH-based R2 decomposed ...
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