Results 41 to 50 of about 41,461 (206)

Ranking Multivariate GARCH Models by Problem Dimension: An Empirical Evaluation [PDF]

open access: yes
In the last 15 years, several Multivariate GARCH (MGARCH) models have appeared in the literature. Recent research has begun to examine MGARCH specifications in terms of their out-of-sample forecasting performance.
Michael McAleer, Massimiliano Caporin
core   +4 more sources

Does the fear gauge predict downside risk more accurately than econometric models? Evidence from the US stock market

open access: yesCogent Economics & Finance, 2016
This paper empirically compares the usefulness of information included in the volatility index (VIX) against several generalized autoregressive conditional heteroskedasticity (GARCH) models for predicting downside risk in the US stock market.
Chikashi Tsuji
doaj   +1 more source

Financialisation of the Commodity Markets. Conclusions from the VARX DCC GARCH [PDF]

open access: yesSSRN Electronic Journal, 2015
The global economy is highly dependent on commodity prices, which are, by and large, the outcome of market-specific supply and demand fundamentals. As a result, driven by different determinants, financial assets and commodity prices should be negligibly correlated.
openaire   +1 more source

Intraday Functional PCA Forecasting of Cryptocurrency Returns

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT We study the functional PCA (FPCA) forecasting method in application to functions of intraday returns on Bitcoin. We show that improved interval forecasts of future return functions are obtained when the conditional heteroscedasticity of return functions is taken into account.
Joann Jasiak, Cheng Zhong
wiley   +1 more source

A wavelet approach towards examining dynamic association, causality and spillovers [PDF]

open access: yesInternational Journal of Data and Network Science, 2019
This paper presents an integrated granular framework of wavelet decomposition, DCC-GARCH, ADCC-GARCH, Diks-Panchenko nonlinear Granger’s causality and Diebold-Yilmaz spillover assessment techniques to understand temporal correlation, causal interplay and
Indranil Ghosh, Tamal Datta Chaudhuri
doaj   +1 more source

Forecasting Volatility of Commodity, Currency, and Stock Markets: Evidence From Markov‐Switching Multifractal Models

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT This paper adopts a bivariate Markov‐switching multifractal (BMSM) model to reexamine comovement in SV between commodity, foreign exchange (FX), and stock markets. After the 2007–2008 global financial crisis understanding volatility linkages and the correlation structure between these markets becomes very important for risk analysts, portfolio
Ruipeng Liu   +3 more
wiley   +1 more source

The Multivariate DCC-GARCH Model with Interdependence among Markets in Conditional Variances’ Equations

open access: yesPrzegląd Statystyczny, 2015
The article seeks to investigate the issue of interdependence that during crisis periods in the capital markets is of particular importance due to the likelihood of causing a crisis in the real economy. The research objective of the article is to identify this interdependence in volatility.
Faldzinski, Marcin   +1 more
openaire   +2 more sources

Brexit and Its Impact on EU Financial Markets

open access: yesInternational Journal of Finance &Economics, EarlyView.
ABSTRACT We investigate the impact of Brexit on volatility spillovers across the EU countries. We introduce a Brexit intensity measure that assigns an intensity score reflective of the financial markets' reaction to the events that occurred as Brexit negotiations began to unfold.
Marwan Izzeldin   +3 more
wiley   +1 more source

Algorithm of Assessing Dynamic Correlation between Time Series Connected by TVP-Regression Model

open access: yesВестник Российского экономического университета имени Г. В. Плеханова
The present research proposes algorithm of assessing dynamic correlation of time series connected by TVP-regression model. Topicality of this task is stipulated by the fact that this model often describes asset behavior on finance markets, while modeling
N. A. Moiseev, G. V. Aivazian
doaj   +1 more source

Risk Transmission and Co‐Movements Between Financial Markets and Commodity Markets in the COVID‐19 Period

open access: yesInternational Journal of Finance &Economics, EarlyView.
ABSTRACT This study examines risk transmission and co‐movements between financial markets (G7 countries and China) and commodity markets (gold and oil) during the COVID‐19 crisis. Daily closing prices for major equity indices (CAC40, CSI300, DAX30, FTSE100, MIB, NIKKEI, TSX and S&P500) and futures prices for gold, brent and WTI were analysed using DCC ...
V. Moutinho   +3 more
wiley   +1 more source

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