The covariance between US Treasury bond returns and stock returns has moved considerably over time. While it was slightly positive on average in the period 1953--2009, it was unusually high in the early 1980''s and negative in the 2000''s, particularly in the downturns of 2000--02 and 2007--09....

Even though stock returns are not highly autocorrelated, there is a spurious regression bias in predictive regressions for stock returns related to the classic studies of Yule (1926) and Granger and Newbold (1974). Data mining for predictor variables interacts with spurious regression bias. The...

We set up an exponentially affine stochastic discount factor model for bond yields and stock returns in order to estimate the prices of aggregate risk. We use the estimated risk prices to compute the no-arbitrage price of a claim to aggregate consumption. The price-dividend ratio of this claim...

We model the conditional mean and volatility of stock returns as a latent vector autoregressive (VAR) process to study the contemporaneous and intertemporal relationship between expected returns and risk in a flexible statistical framework and without relying on exogenous predictors. We find a...

Three mutually uncorrelated economic disturbances that we measure empirically explain 85% of the quarterly variation in real stock market wealth since 1952. A model is employed to interpret these disturbances in terms of three latent primitive shocks. In the short run, shocks that affect the...

We investigate whether short sellers are subject to the disposition effect using a novel dataset that allows to identify the weekly closing of short positions. Consistent with the disposition effect, the closing of short sale positions is strongly related to a proxy of Shortsale Capital Gains...

We investigate whether providers of high frequency news analytics affect the stock market. As identification, we exploit a unique experiment based on differences in news event classifications between different product releases of a major provider of news analytics. We document a causal effect of...

In a market with short term agents and heterogeneous information, when liquidity trading displays persistence, prices reflect average expectations about fundamentals and liquidity trading. Informed investors exploit a private learning channel to infer the demand of liquidity traders from the...

We study asset-pricing implications of innovation in a general-equilibrium overlapping-generations economy. Innovation increases the competitive pressure on existing firms and workers, reducing the profits of existing firms and eroding the human capital of older workers. Due to the lack of...

Nonlinearity is an important consideration in many problems of finance and economics, such as pricing securities, computing equilibrium, and conducting structural estimations. We extend the transform analysis in Duffie, Pan, and Singleton (2000) by providing analytical treatment of a general...