We use a supply-demand framework to model the hourly day-ahead spot price of electricity based on publicly available information. With the model we can forecast the level and the probability of a spike in the spot price de¯ned as the spot price being above a certain threshold. Several European...

Multi-unit common value uniform price auctions with demand function bids are in widespread use. I analyze this auction when there is an informed bidder and other uninformed bidders. In such auctions it is easy to construct equilibria in which uninformed bidders earn a positive payoff by free...

We revisit the problem of calculating the exact distribution of optimal investments in a mean variance world under multivariate normality. The context we consider is where problems in optimisation are addressed through the use of Monte-Carlo simulation. Our findings give clear insight as to when...

We characterize the optimal selling mechanism in a scenario where similar goods are sold to “high end” buyers through a posted price and to “lower end” buyers through an auction. We show that the optimal mechanism involves an auction which is a standard optimal auction (Myerson (1981))...

We employ the Schwartz and Smith (2000) model to explore the dynamics of the UK gas markets. We discuss in detail the short-term and long-term market prices of risk borne by the market players and how deviations from expected cyclical storage affect the short-term market price of risk. Finally,...

This paper considers structural nonparametric random utility models for continuous choice variables. It provides sufficient conditions on the structural model to yield reduced-form systems of nonparametric stochastic demand functions that constitute a global homeomorphism between demands and...

If entrepreneurs have private information about factors influencing the outcome of an investment, individual lending is inefficient. The literature emphasizes improvements through non-market organizations that harness local information through peer monitoring. I investigate the complementary...

Traditional dynamic hedging strategies are based on local information (ie Delta and Gamma) of the financial instruments to be hedged. We propose a new dynamic hedging strategy that employs non-local information and compare the profit and loss (P&L) resulting from hedging vanilla options when the...