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This paper proposes structured parametrizations for multivariate volatility models, which use spatial weight matrices … models as well as for Stochastic- and Realized-Volatility models. The paper also discusses how to construct spatial weight …
Persistent link: https://www.econbiz.de/10012719984
In this paper, we used the GARCH (1,1) and GARCH-M (1,1) models to investigate volatility and persistence at daily … persistence of volatility, meaning that the conditional volatility tends to revert faster to the long-term mean than the other … statistically significant and positive (thus confirming the hypothesis that an increase in volatility leads an increase in future …
Persistent link: https://www.econbiz.de/10011964941
formulate a volatility forecast of returns used as an input for determining some subjective views to be included in the Black …
Persistent link: https://www.econbiz.de/10012998423
ability of these funds by estimating hedge ratios and optimal portfolio weights. Taking a short position in the volatility of …
Persistent link: https://www.econbiz.de/10013230114
In many multivariate volatility models, the number of parameters increases faster than the cross-section dimension …
Persistent link: https://www.econbiz.de/10013095932
best. Also, the volatility forecasts generated from multivariate time series models can be successfully converted into … higher portfolio returns using quantitative investment approaches if the right balance of volatility modelling and portfolio …
Persistent link: https://www.econbiz.de/10013391097
growing importance of emerging markets, the literature on the nature of volatility in global markets is typified by … volatility in developed G7 and emerging BRICS markets. Broad market index data and GARCH models over the period 2003 …:01–2020:08 were employed. The study found evidence of volatility persistence, asymmetry, mean reversion and weak evidence of a risk …
Persistent link: https://www.econbiz.de/10012872753
volatility of Borsa Istanbul 100 Index (BIST-100). Sample data cover the period from January 2008 to December 2017. The main … nonlinear volatility models (symmetric and asymmetric Generalized AutoRegressive Conditional Heteroskedasticity [GARCH …]-type models) were used to model and estimate BIST-100 volatility in response to political news. The findings of the paper …
Persistent link: https://www.econbiz.de/10012131511
The present research investigates the impact of trading volume on stock return volatility using data from the Greek … banking system. For our analysis, the empirical study uses daily measures of volatility constructed from intraday data for the … on stock return volatility mainly in all quantiles. The findings extrapolated are of relevance and interest to financial …
Persistent link: https://www.econbiz.de/10012509058
We introduce a new fractionally integrated model for covariance matrix dynamics based on the long-memory behavior of daily realized covariance matrix kernels and daily return observations. We account for fat tails in both types of data by appropriate distributional assumptions. The covariance...
Persistent link: https://www.econbiz.de/10011531139