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Using a modified DCC-MIDAS specification that allows the long-term correlation component to be a function of multiple … new DCC-MIDAS model, we construct stock-bond hedge portfolios and show that these portfolios outperform various benchmark …
Persistent link: https://www.econbiz.de/10011745369
This paper contributes to model the industry interconnecting structure in a network context. General predictive model (Rapach et al. 2016) is extended to quantile LASSO regression so as to incorporate tail risks in the construction of industry interdependency networks. Empirical results show a...
Persistent link: https://www.econbiz.de/10011657294
We propose a new framework for modeling and forecasting common financial risks based on (un)reliable realized covariance measures constructed from high-frequency intraday data. Our new approach explicitly incorporates the effect of measurement errors and time-varying attenuation biases into the...
Persistent link: https://www.econbiz.de/10012995347
portfolio forecasting. More specifically, we take advantage of the flexible Markov switching copula multivariate GARCH (MS …
Persistent link: https://www.econbiz.de/10013405757
We propose a novel dynamic approach to forecast the weights of the global minimum variance portfolio (GMVP). The GMVP weights are the population coefficients of a linear regression of a benchmark return on a vector of return differences. This representation enables us to derive a consistent loss...
Persistent link: https://www.econbiz.de/10012847269
We propose a novel dynamic approach to forecast the weights of the global minimum variance portfolio (GMVP). The GMVP weights are the population coefficients of a linear regression of a benchmark return on a vector of return differences. This representation enables us to derive a consistent loss...
Persistent link: https://www.econbiz.de/10012243462
Employing both the mean-variance framework and the common portfolio risk-optimization, this study adds to the investment research by examining how ideal holdings for emerging and frontier markets (EFM) of the four global regions (Asian, Europe, and Commonwealth of Independent States (Eastern +...
Persistent link: https://www.econbiz.de/10013391097
Several academics have studied the ability of hybrid models mixing univariate Generalized Autoregressive Conditional Heteroskedasticity (GARCH) models and neural networks to deliver better volatility predictions than purely econometric models. Despite presenting very promising results, the...
Persistent link: https://www.econbiz.de/10013211314
We propose direct multiple time series models for predicting high dimensional vectors of observable realized global minimum variance portfolio (GMVP) weights computed based on high-frequency intraday returns. We apply Lasso regression techniques, develop a class of multiple AR(FI)MA models for...
Persistent link: https://www.econbiz.de/10014352129
This paper presents a new procedure for forecasting recessions utilizing short-term (slope) dynamics present in the yield curve. Building on a large body of literature chronicling the relationship between the shape of the yield curve and the business cycle, this paper employs Dynamic...
Persistent link: https://www.econbiz.de/10013002158