We propose a structural model of a financial institution that can invest in both liquid and illiquid assets. The goal of this firm is to maximize the profit of its shareholders, while satisfying some capital requirement and liquidity constraint. Using stochastic control techniques, we derive the...

Following a companion paper where we proposed a model of a financial institution that can invest in both liquid and illiquid assets and whose goal is to maximize the profit of its shareholders, while satisfying some capital and liquidity requirements, we now incorporate correlations between the...

We propose a model for analyzing dynamic pairs trading strategies using the stochastic control approach. The model is explored in an optimal portfolio setting, where the portfolio consists of a bank account and two co-integrated stocks and the objective is to maximize for a fixed time horizon,...

We propose a pairs trading model that incorporates a time-varying volatility of the Constant Elasticity of Variance type. Our approach is based on stochastic control techniques; given a fixed time horizon and a portfolio of two cointegrated assets, we define the trading strategies as the...

Competition glider flying is a game of stochastic optimization, in which mathematics and quantitative strategies have historically played an important role. We address the problem of uncertain future atmospheric conditions by constructing a nonlinear Hamilton-Jacobi-Bellman equation for the...

I discuss in an elementary manner the practical aspects of designing monotone Finite Difference schemes for Hamilton-Jacobi-Bellman equations arising in Quantitative Finance. These are nonlinear equations for which classic Finite Difference methods may fail to converge to the correct solution....