Reviews the book "Computer Simulation and Modeling: An Introduction," by Richard S. Lehman.

We model the impact of supply and demand on risk premiums in electricity futures, using daily data for 2003–2014. The model provides a satisfactory fit and allows for unspanned economic risk not embedded in futures prices. Model-implied spot risk premiums and forward biases are large, negative, highly time-varying, and exhibit plausible seasonal patterns. They differ from existing models, especially in periods of market turmoil, have not decreased in size over time, and help predict future returns. Both demand and supply have an economically significant impact on risk premiums. The risk premium associated with supply is characterized by large positive outliers.

We examine price negotiation in the payment card industry by exploiting a unique merchant-, industry-, and city-level data set. Motivated by the substantial variation in acquirer fees and heterogeneous merchant card transactions, we use Nash bargaining to model the negotiation over the acquirer fee between an acquirer and a merchant. We find that the merchants secure a larger incremental surplus than the acquirer on average. Moreover, merchants might face upward pressure on acquirer fees as the card penetration rate rises over time, and policies that weaken the acquirer's bargaining power could relieve the upward fee pressure.