This study examines the financing of innovation in the presence of adverse selection in the capital market. An entrepreneur with private information needs outside funding for a project requiring costly experimentation. Equilibrium contracts use the duration of the experimentation period, together with pay-for-performance, to signal information to outside investors. As a result, investment is delayed, entrepreneurs with stronger growth options receive vested stock options, and entrepreneurs with a lower probability of success are compensated in case of failure. These predictions are in line with empirical evidence on venture capital contracts, and on the impact of internal financing on risk taking.

This study examines the financing of innovation in the presence of adverse selection in the capital market. An entrepreneur with private information needs outside funding for a project requiring costly experimentation. Equilibrium contracts use the duration of the experimentation period, together with pay-for-performance, to signal information to outside investors. As a result, investment is delayed, entrepreneurs with stronger growth options receive vested stock options, and entrepreneurs with a lower probability of success are compensated in case of failure. These predictions are in line with empirical evidence on venture capital contracts, and on the impact of internal financing on risk taking. The Author 2012. Published by Oxford University Press on behalf of The Society for Financial Studies. All rights reserved. For Permissions, please e-mail: [email protected]., Oxford University Press.

We model risk management as information acquisition that delays trading decisions. In markets with preemptive competition, this can lead to a race to the bottom, where prioritizing trade execution over risk management is optimal for each firm, but collectively inefficient. As time competition intensifies, mean trading profit supplants risk concerns as the main driver of risk management quality, causing risk misallocation to rise with trading speed and volume. This pathology of risk management failure—the trio of time-consuming risk assessment, preemptive competition, and boom markets—has distinctive regulatory implications.

Blockchains are distributed ledgers, operated within peer-to-peer networks. We model the proof-of-work blockchain protocol as a stochastic game and analyze the equilibrium strategies of rational, strategic miners. Mining the longest chain is a Markov perfect equilibrium, without forking, in line with Nakamoto (2008). The blockchain protocol, however, is a coordination game, with multiple equilibria. There exist equilibria with forks, leading to orphaned blocks and persistent divergence between chains. We also show how forks can be generated by information delays and software upgrades. Last we identify negative externalities implying that equilibrium investment in computing capacity is excessive.Received May 31, 2017; editorial decision July 6, 2018 by Editor Itay Goldstein.