Information and learning environments shape the dynamics of our beliefs that determine asset prices. When an agent jointly learns about consumption and dividend, her beliefs on them inter-temporally co-vary with each other, decoupled from their true underlying relationship. Such...

We theoretically and empirically analyze information generation by stock markets on economic prospects of innovations and the resultant feedback effect on firm-level innovation-related investment (IRI). By modeling the unique aspects of firm-specific and systematic drivers of innovation profits,...

Using a large sample of U.S. acquiring and non-acquiring firms and covering a broad sample of transactions, we examine the effects of mergers and acquisitions (M&A) on CEO compensation during 1993-2006, a period of intense M&A activity. We alleviate endogeneity concerns through dynamic panel...

We examine the effects of parameter uncertainty and Bayesian learning on equilibrium asset prices when all the structural parameters of the aggregate consumption and dividend growth rate processes are unknown. With realistic calibration of a parsimonious set of prior parameters, the model...

We examine the effects of estimation risk and Bayesian learning on equilibrium asset prices when there is uncertainty about both the first and second moments of consumption and dividend growth rates. For the 1891-2007 period, our model generates a sizable average annual equity premium,...

We examine whether financing commitments from a target firm's financial advisor, in the form of stapled financing, provide certification of target value. Using a dataset of leveraged buyouts spanning 2002-2011, and addressing endogeneity issues, we find that stapled financing has significantly...