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the variance matrix. Monte Carlo evidence for parameter estimation based on different small sample sizes is provided. We …
Persistent link: https://www.econbiz.de/10011520881
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
Persistent link: https://www.econbiz.de/10010191413
effects of equal magnitude, EGARCH can also accommodate leverage, which is the negative correlation between returns shocks and …
Persistent link: https://www.econbiz.de/10010362978
effects of equal magnitude, and leverage, which refers to the negative correlation between the returns shocks and subsequent …
Persistent link: https://www.econbiz.de/10010384390
effects of equal magnitude, and leverage, which refers to the negative correlation between the returns shocks and subsequent …
Persistent link: https://www.econbiz.de/10010477092
. They are applicable to the complete class of observation driven models and are valid for a wide range of estimation …
Persistent link: https://www.econbiz.de/10010484891
regression framework that is robust to model misspecification. Unlike conventional correlation-based tests, the proposed quantile … quantile contagion test can detect a contagion effect that is possibly ignored by correlation-based tests. A wide range of … simulation studies show that the proposed test is superior to the correlation-based tests in terms of size and power. We compare …
Persistent link: https://www.econbiz.de/10010504111
This paper disentangles the added value of using high-frequency-based (realized) covariance measures on multivariate volatility forecasting into two pillars: the realized variances and realized correlations and quantifies the corresponding economic gains using a broad set of portfolio...
Persistent link: https://www.econbiz.de/10015064180
In this paper we consider modeling and forecasting of large realized covariance matrices by penalized vector autoregressive models. We propose using Lasso-type estimators to reduce the dimensionality to a manageable one and provide strong theoretical performance guarantees on the forecast...
Persistent link: https://www.econbiz.de/10010433899