2011-07-20Stochastic control problems are ubiquitous in modern finance. However, explicit solutions and policies of such problems faced by investors receive disproportionately little attention. This dissertation focuses on characterizing and solving the policies for two stochastic control problems that buy-side investors face in the market, exercising American options and optimal redemption of illiquid investments such as hedge funds. ❧ The return an investor realizes from his investment in an American or Bermudan style derivative is highly dependent on the exercise policy he employs. Despite the fact that the exercise policy is as crucial to the option buyer as the price, constructing these policies has not received as much attention vis-à...
The value of a position in a risky asset when optimally sold in an illiquid market is considered. Th...
This thesis considers three topics in stochastic control theory. Each of these topics is motivated b...
This paper proposes a stochastic model predictive control (SMPC) approach to hedging derivative cont...
This dissertation applies stochastic control theory to two problems: i) portfolio choice of hedge fu...
In this paper we study the hedging of derivatives in illiquid markets. More specifically we consider...
The classical Black-Scholes analysis determines a unique, continuous, trading strategy which allows ...
Research conducted in mathematical finance focuses on the quantitative modeling of financial markets...
We study some applications of stochastic control to option hedge with illiquidity. In the first part...
In this paper we study the hedging of derivatives in illiquid markets. More specifically we conside...
∗This research, which was funded by a grant from the Natural Sciences and Engineering Research Counc...
International audienceIn this paper, we establish a model for market making in options whose underly...
We present three interesting applications of stochastic control in finance. The first is a real opti...
This paper considers the problem of pricing options with early-exercise features whose payo depends ...
University of Technology Sydney. Faculty of Business.The American option pricing problem lies on the...
The problem of pricing an American option written on an underlying asset with constant price volatil...
The value of a position in a risky asset when optimally sold in an illiquid market is considered. Th...
This thesis considers three topics in stochastic control theory. Each of these topics is motivated b...
This paper proposes a stochastic model predictive control (SMPC) approach to hedging derivative cont...
This dissertation applies stochastic control theory to two problems: i) portfolio choice of hedge fu...
In this paper we study the hedging of derivatives in illiquid markets. More specifically we consider...
The classical Black-Scholes analysis determines a unique, continuous, trading strategy which allows ...
Research conducted in mathematical finance focuses on the quantitative modeling of financial markets...
We study some applications of stochastic control to option hedge with illiquidity. In the first part...
In this paper we study the hedging of derivatives in illiquid markets. More specifically we conside...
∗This research, which was funded by a grant from the Natural Sciences and Engineering Research Counc...
International audienceIn this paper, we establish a model for market making in options whose underly...
We present three interesting applications of stochastic control in finance. The first is a real opti...
This paper considers the problem of pricing options with early-exercise features whose payo depends ...
University of Technology Sydney. Faculty of Business.The American option pricing problem lies on the...
The problem of pricing an American option written on an underlying asset with constant price volatil...
The value of a position in a risky asset when optimally sold in an illiquid market is considered. Th...
This thesis considers three topics in stochastic control theory. Each of these topics is motivated b...
This paper proposes a stochastic model predictive control (SMPC) approach to hedging derivative cont...