Strategic innovation and technology adoption in an evolving industry

We introduce a racing model with multiple product generations, product innovation, spin-outs, and licensing. Industry conditions and innovation characteristics affect who wins the race and who markets the resulting product. Small firms market their innovations when they pioneer a new generation or improve quality in a young generation and license their innovations in mature generations. If old generation leaders ever market improvements in young generation goods, they do so early on. Leadership in mature generations persists. Tests on the rigid disk drive industry (1977-1997) provide empirical support. The results have implications for antitrust policies and policies governing employee non-compete agreements.     

Strategic technology adoption and hedging under incomplete markets

We investigate the implications of technological innovation and non-diversifiable risk on entrepreneurial entry and optimal portfolio choice. In a real options model where two risk-averse individuals strategically decide on technology adoption, we show that the impact of non-diversifiable risk on the option timing decision is ambiguous and depends on the frequency of technological change. Compared to the complete market case, non-diversifiable risk may accelerate or delay the optimal investment decision. Moreover, strategic considerations regarding technology adoption play a central role for the entrepreneur’s optimal portfolio choice in the presence of non-diversifiable risk.     

Comment on: “Estimating the expected marginal rate of substitution”

The methodology proposed in Flood and Rose [2005. Estimating the expected marginal rate of substitution: a systematic exploration of idiosyncratic risk. Journal of Monetary Economics 52 (5) 951-969] fails to distinguish between the single unique marginal rate of substitution (MRS) process and the class of valid pricing kernels, of which the MRS is but a particular member. Thus, at best, this methodology explores the properties of some arbitrary pricing kernel, which may differ radically from the true MRS. Furthermore, the estimates of the expected MRS proposed by Flood and Rose [2005. Estimating the expected marginal rate of substitution: a systematic exploration of idiosyncratic risk. Journal of Monetary Economics 52 (5) 951-969] are highly correlated with ex post shocks, implying that these estimates are not conditional expectations at all. The cure for this misspecification introduces additional econometric problems, suggesting that the model may, in practice, be poorly identified.