Allowing for a richer information structure than usual, we show that rational traders’ calculation with short-term price fluctuations may heavily influence their behaviour even if the interim price is not influenced by non-rational agents i.e. there is no noise trader risk. Instead, traders...

Probably not. First, allowing the probabilities attached to the states of the economy to differ from their sample frequencies, the Consumption-CAPM is still rejected by the data and requires a very high level of Relative Risk Aversion(RRA) in order to rationalize the stock market risk premium....

The paper draws lessons from the experience of the past year for the conduct of central banks in the pursuit of macroeconomic and financial stability. Macroeconomic stability is defined as either price stability or as price stability and sustainable output or employment growth. Financial...

We document that the firm level hiring rate predicts stock returns in the cross-section of US publicly traded firms even after controlling for investment, size, book-to-market and momentum as well as other known predictors of stock returns. The predictability shows up in both Fama-MacBeth cross...

Which pricing kernel restrictions are needed to make low dimensional Markov models consistent with given sets of predictions on aggregate stock-market fluctuations ? This paper develops theoretical test conditions addressing this and related reverse engineering issues arising within a fairly...

I study the cross sectional variation of stock returns and technological progress using a dynamic equilibrium model with production. In the model, technological progress is en- dogenously driven by R&D investment and is composed of two parts. One part is product innovation devoted to creating...

The Bansal and Yaron (2004) model of long run risks (LLR) in aggregate consumption and dividend growth and its extension that captures potential co- integration of the consumption and dividend levels, are tested on a cross-section of asset classes and rejected using annual data over the period...

This paper introduces a new class of parameter estimators for dynamic models, called Simulated Nonparametric Estimators (SNE). The SNE minimizes appropriate distances between nonparametric joint (or conditional) densities estimated from sample data and nonparametric joint (or conditional)...

We examine the relationship between the risk premium on the S&P500 index total return and its conditional variance. We propose a new semiparametric model in which the conditional variance process is parametric, while the conditional mean is an arbitrary function of the conditional variance. For...

We evaluate the impact of portfolio constraints on financial markets in a dynamic equilibrium pure exchange economy with one consumption good and two CRRA investors that may differ in risk aversions, beliefs regarding the dividend process and portfolio constraints. Despite numerous applications,...