In this paper, we examine the capacity of an arbitrage-free neural-SDE market model to produce realistic scenarios for joint dynamics multiple European options on a single underlying. We subsequently demonstrate its use as risk simulation engine option portfolios. Through backtesting analysis, show that our models are more computationally efficient and accurate evaluating Value-at-Risk (VaR) po...

Using market prices for crude-oil futures options and the prices of their underlying futures contracts, we estimate the volatility skew in two ways. As a benchmark for our theoretical model, on each date we first estimate a crosssectional polynomial structure for each maturity to demonstrate the strength and weaknesses of a purely-mechanical model. We then apply to the empirical data a Merton-s...

This paper investigates firms’ decisions to reimburse consumers’ switching costs in network industries. Prior literature finds that switching costs incentivize firms to harvest their locked-in consumers rather than price aggressively for market dominance, thereby resulting in a lower market concentration. Using a dynamic duopoly model, we show that this result is reversed if firms have the opti...

The generation business in the U.S. is currently undergoing a transition from a regulated monopoly toward an uncertain, competitive market. Under the competitive market, the price of electric power as well as the corresponding revenue may be much less certain than before. These market uncertainties have increased the significance of two critical factors in generation planning. These factors are...