Search Results - "Asai, Manabu"
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Forecasting volatility and co-volatility of crude oil and gold futures: Effects of leverage, jumps, spillovers, and geopolitical risks
Published in International journal of forecasting (01-07-2020)“…To forecast the covariance matrix for the returns of crude oil and gold futures, this paper examines the effects of leverage, jumps, spillovers, and…”
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Estimation of Realized Asymmetric Stochastic Volatility Models Using Kalman Filter
Published in Econometrics (01-09-2023)“…Despite the growing interest in realized stochastic volatility models, their estimation techniques, such as simulated maximum likelihood (SML), are…”
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3
Bayesian Analysis of Realized Matrix-Exponential GARCH Models
Published in Computational economics (01-01-2022)“…This study develops a new realized matrix-exponential GARCH (MEGARCH) model, which uses the information of returns and realized measure of co-volatility matrix…”
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4
High‐dimensional sparse multivariate stochastic volatility models
Published in Journal of time series analysis (01-01-2023)“…Although multivariate stochastic volatility models usually produce more accurate forecasts compared with the MGARCH models, their estimation techniques such as…”
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Estimation of high-dimensional vector autoregression via sparse precision matrix
Published in The econometrics journal (01-05-2023)“…Summary We consider the problem of estimating sparse vector autoregression (VAR) via penalized precision matrices. This matrix is the output of the underlying…”
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The Impact of Jumps and Leverage in Forecasting the Co-Volatility of Oil and Gold Futures
Published in Energies (Basel) (02-09-2019)“…This paper investigates the impact of jumps in forecasting co-volatility in the presence of leverage effects for daily crude oil and gold futures. We use a…”
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The impact of jumps and leverage in forecasting covolatility
Published in Econometric reviews (21-10-2017)“…The paper investigates the impact of jumps in forecasting covolatility, accommodating leverage effects. We modify the preaveraged truncated covariance…”
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The structure of dynamic correlations in multivariate stochastic volatility models
Published in Journal of econometrics (01-06-2009)“…This paper proposes two types of stochastic correlation structures for Multivariate Stochastic Volatility (MSV) models, namely the constant correlation (CC)…”
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Quasi‐maximum likelihood estimation of conditional autoregressive Wishart models
Published in Journal of time series analysis (01-05-2021)“…In this article, we consider a quasi‐maximum likelihood (QML) estimation of conditional autoregressive Wishart models, which generalize the conditional…”
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10
Forecasting the volatility of Nikkei 225 futures
Published in The journal of futures markets (01-11-2017)“…This article proposes an indirect method for forecasting the volatility of futures returns, based on the relationship between futures and the underlying asset…”
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On a Bivariate Hysteretic AR-GARCH Model with Conditional Asymmetry in Correlations
Published in Computational economics (01-08-2021)“…This paper investigates a conditionally dynamic asymmetric structure in correlations when multivariate time series follow a hysteretic autoregressive GARCH…”
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A new structural multivariate GARCH-BEKK Model: Causality of green, sustainable and fossil energy ETFs
Published in Communication in statistics. Case studies and data analysis (03-04-2022)“…The article examines exchange-traded funds (ETFs) for green and sustainable energy regarding causality in their asset returns and volatilities. The structural…”
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Asymptotic and finite sample properties for multivariate rotated GARCH models
Published in Econometrics (01-06-2021)“…This paper derives the statistical properties of a two-step approach to estimating multivariate rotated GARCH-BEKK (RBEKK) models. From the definition of…”
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14
Forecasting Value-at-Risk using block structure multivariate stochastic volatility models
Published in International review of economics & finance (01-11-2015)“…Most multivariate variance or volatility models suffer from a common problem, the “curse of dimensionality”. For this reason, most are fitted under strong…”
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15
Generalized fractional processes with long memory and time dependent volatility revisited
Published in Econometrics (01-09-2016)“…In recent years, fractionally-differenced processes have received a great deal of attention due to their flexibility in financial applications with…”
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Forecasting volatility using range data: analysis for emerging equity markets in Latin America
Published in Applied financial economics (01-03-2012)“…The article suggests a simple but effective approach for estimating value-at-risk thresholds using range data, working with the filtered historical simulation…”
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Stochastic Multivariate Mixture Covariance Model
Published in Journal of forecasting (01-03-2017)“…Stochastic covariance models have been explored in recent research to model the interdependence of assets in financial time series. The approach uses a single…”
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Multivariate stochastic volatility, leverage and news impact surfaces
Published in The econometrics journal (01-01-2009)“…Alternative multivariate stochastic volatility (MSV) models with leverage have been proposed in the literature. However, the existing MSV with leverage models…”
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Comparison of MCMC Methods for Estimating Stochastic Volatility Models
Published in Computational economics (01-06-2005)“…This article investigates performances of MCMC methods to estimate stochastic volatility models on simulated and real data. There are two efficient MCMC…”
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Feasible Panel GARCH Models: Variance-Targeting Estimation and Empirical Application
Published in Econometrics and statistics (01-01-2023)“…For the panel generalized autoregressive conditional heteroskedasticity (GARCH) model, the conditions for the stationarity and positive definiteness of…”
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