We solve an agent's optimization problem of meeting demands for cash over time with cash deposited in bank or invested in stock. The stock pays dividends and uncertain capital gains, and a commission is incurred in buying and selling of stock. We use a stochastic maximum principle to obtain...

We consider the problem of dynamically hedging a fixed portfolio of assets in the presence of non-linear instruments and transaction costs, as well as constraints on feasible hedging positions. We assume an investor maximizing the expected utility of his terminal wealth over a finite holding...

This paper considers arbitrage-free option pricing in the presence of large agents. These large agents have a significant market power, and their trading strategies influence the dynamics of the financial asset prices. First, a simple asset pricing model in the presence of large agents is...

In many democratic countries, the timing of elections is flexible. We explore this potentially valuable option using insights from option pricing in finance. The paper offers three main contributions on this problem. First, we derive a rationally-based mean-reverting political support process...

This paper produces a comprehensive theory of the value of Bayesian information and its static demand. Our key insight is to assume 'natural units' corresponding to the sample size of conditionally i.i.d. signals -- focusing on the smooth nearby model of the precision of an observation of a...

We model a banker's future bonuses as a series of call options on the bank's profits and show that bonus caps and deferrals reduce risk-taking. However, the banker's optimal risk-taking also depends on the costs of risk-taking. We calibrate the model to US banking data and show that lengthening...

The global financial crisis of 2007–2008 has given rise to new regulatory initiatives to put restrictions on the size and the term of bankers' pay. We revisit both theoretically and empirically the question of whether these regulations are justified. We model bonuses as a series of sequential...

The timing of elections is flexible in many countries. We study this optimization by first creating a Bayesian learning model of a mean-reverting political support process. We then explore optimal electoral timing, modelling it as a renewable American option with interacting waiting and stopping...

In this paper we consider the pricing of point-to-point bandwidth leasing contracts and options. The underlying asset of these contracts is a point-to-point telecommunications connection. Due to the network structure the network capacity prices depend nonlinearly on each other. A leasing...