Showing 1 - 10 of 16
In analyzing the relationship between expected stock and bond returns and expected inflation at short and long horizons, we measure multi-period expected returns and inflation from a vector-autoregressive (VAR) model involving only one-period variables. Thereby we circumvent the problems with...
Persistent link: https://www.econbiz.de/10005260616
We investigate the C-CAPM and the equity premium puzzle using asset returns and consumption data from the US and Denmark. In contrast to previous studies the investigation is carried out with both short and long investment horizons. In addition, we introduce a Markovian bootstrap approach to...
Persistent link: https://www.econbiz.de/10005802129
We suggest a new test for speculative stock market bubbles that has several advantages compared to earlier bubble tests. The test makes use of the fact that the variance of excess return innovations and the variance of (dividend news minus interest rate news minus excess returm news) will be...
Persistent link: https://www.econbiz.de/10005802132
Persistent link: https://www.econbiz.de/10005802137
No abstract
Persistent link: https://www.econbiz.de/10005802140
Persistent link: https://www.econbiz.de/10005802145
We present a new dividend-adjusted blue chip index for the Dan- <p> ish stock market covering the period 1985-2002. In contrast to <p> other indices on the Danish stock market, the index is calcu- <p> lated on a daily basis. In the first part of the paper a detailed <p> description of the construction of...</p></p></p></p>
Persistent link: https://www.econbiz.de/10005802148
US and UK stock returns are highly positively correlated over the period 1918-1999. Using VAR-based variance decompositions, we investigate the nature of this comovement. Excess return innovations are decomposed into news about future dividends, real interest rates, and excess returns. We find...
Persistent link: https://www.econbiz.de/10005750406
This paper introduces a new bias reducing method for kernel hazard estimation. The method is called global polynomial adjustment (GPA). It is a global correction which is applicable to any kernel hazard estimator. The estimator works well from a theoretical point of view as it symptotically...
Persistent link: https://www.econbiz.de/10005839372
A class of local linear kernel density estimators based on weighted least squares kernel estimation is considered within the framework of Aalen's multiplicative intensity model. This model includes the filtered data model that, in turn, allows for truncation and/or censoring in addition to...
Persistent link: https://www.econbiz.de/10005802121