We use Google internet search volumes to measure households' pessimism about overall market-wide credit health in the economy, and show that this "household default sentiment" is positively correlated with the credit default swap (CDS) spread level in the market. However, while household default...

This paper examines how the government-sponsored enterprises (GSEs) Fannie Mae and Freddie Mac, the largest investors in subprime private-label mortgage-backed securities (PLS), influenced the risk characteristics and prices of the deals in which they participated. To identify the causal effect...

A central result in the theory of adverse selection in asset markets is that informed sellers can signal quality by delaying trade. This paper uses the residential mortgage market as a laboratory to test this mechanism. Using detailed, loan-level data on privately securitized mortgages, we find...

Many postulated relations in finance imply that expected asset returns strictly increase in an underlying characteristic. To examine the validity of such a claim, one needs to take the entire range of the characteristic into account, as is done in the recent proposal of Patton and Timmermann...

We develop likelihood-based tests for autocorrelation and predictability in a first order non-Gaussian and noninvertible ARMA model. Tests based on a special case of the general model, referred to as an all-pass model, are also obtained. Data generated by an all-pass process are uncorrelated...

A long tradition in macro finance studies the joint dynamics of aggregate stock returns and dividends using vector autoregressions (VARs), imposing the cross-equation restrictions implied by the Campbell-Shiller (CS) identity to sharpen inference. We take a Bayesian perspective and develop...

This paper builds a model of high-frequency equity returns by separately modeling the dynamics of trade-time returns and trade arrivals. Our main contributions are threefold. First, we characterize the distributional behavior of high-frequency asset returns both in ordinary clock time and in...

This paper addresses stock market volatility in Germany between 1991 and 2018. Through a GARCH model with leverage term, an estimation of volatility in the DAX is provided. Such estimation is then plugged into a quantile regression model where potential economic determinants are analyzed. The...

This paper studies the effects of investors’ heterogeneous beliefs on the trading volume,price volatility, and liquidity of stocks. Following Kurz and Motolese (2008), wepropose a simple theoretical model to show that the equilibrium stock price is linearlyand positively correlated with market...

This paper presents a new method to detect informed trading activities in the options markets.An option trade is identified as informed when it is characterized by an unusual largeincrement in open interest and volume, induces large gains, and is not hedged in the stock market.For the period...