We explore what private market data can tell us about the appropriate discount rates for valuing investments in climate change abatement. We estimate the term structure of discount rates for real estate up to the very long horizons relevant for investments in climate change abatement. The...

Standard estimators of risk premia in linear asset pricing models are biased if some priced factors are omitted. We propose a three-pass method to estimate the risk premium of an observable factor, which is valid even when not all factors in the model are specified or observed. We show that the...

This paper measures the joint default risk of financial institutions by exploiting information about counterparty risk in credit default swaps (CDS). A CDS contract written by a bank to insure against the default of another bank is exposed to the risk that both default together. From CDS spreads...

We show that the stock market downturns of 2000-2002 and 2007-2009 have very different proximate causes. The early 2000's saw a large increase in the discount rates applied to profits by rational investors, while the late 2000's saw a decrease in rational expectations of future profits. We reach...

As illustrated in the tale of “the dog that did not bark,” the absence of news and the passage of time often contain information. We test whether markets fully incorporate this information using the empirical context of mergers. During the year after merger announcement, the passage of time...

We quantify investors' preferences over the dynamics of shocks by deriving frequency - specific risk prices that capture the price of risk of consumption fluctuations at each frequency. The frequency-specific risk prices are derived analytically for leading models. The decomposition helps...

Data snooping is a major concern in empirical asset pricing. We develop a new framework to rigorously perform multiple hypothesis testing in linear asset pricing models, while limiting the occurrence of false positive results typically associated with data snooping. By exploiting a variety of...

In the period 1996-2014, the average investor in the variance swap market was indifferent to news about future variance at horizons ranging from 1 month to 14 years. It is only purely transitory and unexpected realized variance that were priced. These results present a challenge to most...

In macroeconomic forecasting, principal component analysis (PCA) has been the most prevalent approach to the recovery of factors, which summarize information in a large set of macro predictors. Nevertheless, the theoretical justification of this approach often relies on a convenient and critical...