Similar Search Results

Lüders, Erik - 2002

Starting from an information process governed by a geometric Brownian motion we show that asset returns are predictable if the elasticity of the pricing kernel is not constant. Declining [Increasing] elasticity of the pricing kernel leads to mean reversion and negatively autocorrelated asset...

Persistent link: https://www.econbiz.de/10010297953

Finite sample of the Durbin-Watson test against fractionally integrated disturbances

Kleiber, Christian; Krämer, Walter - 2004

We consider the finite sample power of various tests against serial correlation in the disturbances of a linear regression when these disturbances follow a stationary long memory process. It emerges that the power depends on the form of the regressor matrix and that, for the Durbin-Watson test...

Persistent link: https://www.econbiz.de/10010306236

Can we make money with fifth-order autocorrelation in Japanese stock prices?

Tsutsui, Yoshiro; Hirayama, Kenjiro; Tanaka, Takahiro; … - 2005

We first report that one-minute returns on TOPIX have exhibited significant autocorrelation at five-minute intervals … jump in excess of a predetermined band seem to be the source of this autocorrelation, since these have been updated at five …-minute intervals since August 1998. Individual stock returns also exhibit fifth-order autocorrelation, but this disappears when the …

Persistent link: https://www.econbiz.de/10010332467

On the advantages of disaggregated data: Insights from forecasting the US economy in a data-rich environment

Perevalov, Nikita; Maier, Philipp - 2010

The good forecasting performance of factor models has been well documented in the literature. While many studies focus on a very limited set of variables (typically GDP and inflation), this study evaluates forecasting performance at disaggregated levels to examine the source of the improved...

Persistent link: https://www.econbiz.de/10010279898

Macroeconomic forecasting with mixed frequency data: Forecasting US output growth

Clements, Michael P.; GalvÃƒÂ£o, Ana Beatriz; … - 2007

Many macroeconomic series such as US real output growth are sampled quarterly, although potentially useful predictors are often observed at a higher frequency. We look at whether a mixed data-frequency sampling (MIDAS) approach can improve forecasts of output growth. The MIDAS approach is...

Persistent link: https://www.econbiz.de/10010284142