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We perform a comprehensive examination of the recursive, comparative predictive performance of a number of linear and non-linear models for UK stock and bond returns. We estimate Markov switching, threshold autoregressive (TAR), and smooth transition autoregressive (STR) regime switching models,...
Persistent link: https://www.econbiz.de/10008990694
forecasts based on exponential down-weighting critically depends on the choice of the weighting coefficient. The forecasting … techniques are applied to monthly inflation series of 21 OECD countries and it is found that average forecasting methods in …
Persistent link: https://www.econbiz.de/10012714199
forecasts based on exponential down-weighting critically depends on the choice of the weighting coefficient. The forecasting … techniques are applied to monthly inflation series of 21 OECD countries and it is found that average forecasting methods in …
Persistent link: https://www.econbiz.de/10012756639
This paper conducts a broad-based comparison of iterated and direct multi-period forecasting approaches applied to both … correlation in the residuals of the multi-period direct forecasting models we propose a new SURE-based estimation method and … and Watson (2006) shows that information in factors helps improve forecasting performance for most types of economic …
Persistent link: https://www.econbiz.de/10014042344
ARFIMAX models are applied in estimating the intra-day realized volatility of the CAC40 and DAX30 indices. Volatility clustering and asymmetry characterize the logarithmic realized volatility of both indices. ARFIMAX model with time-varying conditional heteroscedasticity is the best performing...
Persistent link: https://www.econbiz.de/10012910127
We propose a model that extends the RT-GARCH model by allowing conditional heteroskedasticity in the volatility process. We show we are able to filter and forecast both volatility and volatility of volatility simultaneously in this simple setting. The volatility forecast function follows a...
Persistent link: https://www.econbiz.de/10013234440
This chapter presents a unified set of estimation methods for fitting a rich array of models describing dynamic relationships within a longitudinal data setting. The discussion surveys approaches for characterizing the micro dynamics of continuous dependent variables both over time and across...
Persistent link: https://www.econbiz.de/10014024953
The paper compares one-period ahead forecasting performance of linear vector-autoregressive (VAR) models and single …
Persistent link: https://www.econbiz.de/10013147524
data using economic variables and Google online search data. An out-of-sample forecasting comparison with forecast horizons …
Persistent link: https://www.econbiz.de/10013015773
Is univariate or multivariate modelling more effective when forecasting the market risk of stock portfolios? We examine … this question in the context of forecasting the one-week-ahead Expected Shortfall of a portfolio invested in the Fama … significant differences between the forecasting accuracy of the two approaches. This result suggests that univariate models, which …
Persistent link: https://www.econbiz.de/10012898954