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REALIZED BETA GARCH: A MULTIVARIATE GARCH MODEL WITH REALIZED MEASURES OF VOL...
We introduce a multivariate generalized autoregressive conditional heteroskedasticity (GARCH) model that incorporates realized measures of variances and covariances. Realized... -
Structural breaks and GARCH models of exchange rate volatility (replication d...
We investigate the empirical relevance of structural breaks for GARCH models of exchange rate volatility using both in-sample and out-of-sample tests. We find significant... -
A unified approach to standardized-residuals-based correlation tests for GARC...
In this paper, we propose a unified approach to generating standardized-residuals-based correlation tests for checking GARCH-type models. This approach is valid in the presence... -
Estimating and predicting multivariate volatility thresholds in global stock ...
We propose a general double tree structured AR-GARCH model for the analysis of global equity index returns. The model extends previous approaches by incorporating (i) several... -
Normal mixture GARCH(1,1): applications to exchange rate modelling (replicati...
Some recent specifications for GARCH error processes explicitly assume a conditional variance that is generated by a mixture of normal components, albeit with some parameter... -
A forecast comparison of volatility models: does anything beat a GARCH(1,1)? ...
We compare 330 ARCH-type models in terms of their ability to describe the conditional variance. The models are compared out-of-sample using DM?$ exchange rate data and IBM... -
Conditional heteroscedasticity of exchange rates: further results based on th...
A recent article (Tse, 1998) published in this journal analysed the conditional heteroscedasticity of the yen-dollar exchange rate based on the fractionally integrated... -
The stochastic volatility in mean model: empirical evidence from internationa...
In this paper we present an exact maximum likelihood treatment for the estimation of a Stochastic Volatility in Mean (SVM) model based on Monte Carlo simulation methods. The SVM... -
GO-GARCH: a multivariate generalized orthogonal GARCH model (replication data)
Multivariate GARCH specifications are typically determined by means of practical considerations such as the ease of estimation, which often results in a serious loss of... -
Bridging the gap between the distribution of realized (ECU) volatility and AR...
This paper bridges the gap between traditional ARCH modelling and recent advances on realized volatilities. Based on a ten-year sample of five-minute returns for the ECU basket... -
New frontiers for arch models (replication data)
In the 20 years following the publication of the ARCH model, there has been a vast quantity of research uncovering the properties of competing volatility models. Wide-ranging... -
Time irreversibility and EGARCH effects in US stock index returns (replicatio...
In this paper we suggest using a modified version of the time reversibility (TR) test of Chen, Chou and Kuan (2000) as a complementary diagnostic test for time series models.... -
Maximum likelihood estimation of STAR and STAR-GARCH models: theory and Monte...
Theoretical and practical interest in non-linear time series models, particularly regime switching models, have increased substantially in recent years. Given the abundant... -
Crack spread hedging: accounting for time-varying volatility spillovers in th...
Crude oil, heating oil, and unleaded gasoline futures contracts are simultaneously analysed for their effectiveness in reducing price volatility for an energy trader. A... -
A flexible parametric GARCH model with an application to exchange rates (repl...
Many asset prices, including exchange rates, exhibit periods of stability punctuated by infrequent, substantial, often one-sided adjustments. Statistically, this generates... -
Autoregressive conditional heteroscedasticity in commodity spot prices (repli...
Muth's (1961) rational expectations model of commodity markets implies that inventory carryover creates ARCH processes in prices. The model also indicates that the expected... -
An empirical analysis of alternative parametric ARCH models (replication data)
This paper presents empirical evidence on the effectiveness of eight different parametric ARCH models in describing daily stock returns. Twenty-seven years of UK daily data on a... -
The effects of real and nominal uncertainty on inflation and output growth: s...
In this paper we use GARCH-M methods to test four hypotheses about the effects of real and nominal uncertainty on average inflation and output growth in the United States from... -
Testing for ARCH in the presence of additive outliers (replication data)
In this paper we investigate the properties of the Lagrange Multiplier [LM] test for autoregressive conditional heteroscedasticity (ARCH) and generalized ARCH (GARCH) in the...
