We propose a model that starts from the premise that intangible capital needs to be stored on some medium --- software, patents, essential employees --- before it can be utilized in production. Storage implies that intangible capital may be partially non-rival within the firm, leading to scale...

We examine the role of spillover learning in shaping the value of exploratory versus incremental R&D. Using data from drug development, we show that novel drug candidates generate more knowledge spillovers than incremental ones. Despite being less likely to reach regulatory approval, they are...

We provide a theoretical model linking firm characteristics and expected returns. The key ingredient of our model is technological shocks embodied in new capital (IST shocks), which affect the profitability of new investments. Firms' exposure to IST shocks is endogenously determined by the...

Average return differences among firms sorted on valuation ratios, past investment, prof-itability, market beta, or idiosyncratic volatility are largely driven by differences in exposures offirms to the same systematic factor related to embodied technology shocks. Using a calibratedstructural...

We provide a theoretical model linking firm characteristics and expected returns. The key ingredient of our model is technological shocks embodied in new capital (IST shocks), which affect the profitability of new investments. Firms' exposure to IST shocks is endogenously determined by the...

This paper examines the role of spillover learning in shaping the value of exploratory versus incremental R&D. Using data from the pharmaceutical industry, we show that novel drug candidates generate more dynamic spillovers than incremental ones. That is, despite being more likely to fail in the...