benchmarks (naive and autoregressive models) in forecasting real US house price over the annual out-of-sample period of 1859 …

20 bivariate regression models, are used in order to capture the influence of fundamentals in forecasting residential …

forecasting gains are not significant relative to higher-order AR and nonlinear models, though simple benchmarks like the RW and … AR(1) models are statistically outperformed. Overall, we show that in terms of forecasting the US CPI, accounting for …

-stochastic-general-equilibrium models of the economy, may prove crucial in forecasting turning points. …

We compare the forecasting performances of the classical and the Minnesota-type Bayesian vector autoregressive (VAR … algorithm for variable selection, estimated using Markov Chain Monte Carlo methods. In this regard, we analyze the forecasting … the linear fixed coefficients classical VAR. However, we do not observe marked gains in forecasting power across the …

the random walk model, suggests that the forecasting performance of the monetary model is superior. …

This paper evaluates the performance of 11 vector autoregressive models in forecasting 15 macroeconomic variables for …

posit that stock market indices are difficult to predict accurately. However, our results reveal some point forecasting …