Motivated by the industry practice of pairs trading, we study the optimal timing strategies for trading a mean-reverting price spread. An optimal double stopping problem is formulated to analyze the timing to start and subsequently liquidate the position subject to transaction costs. Modeling...

Good market timing skills can be an important factor contributing to hedge funds' out-performance. In this paper we use a unique semi-parametric panel data model capable of providing consistent short period estimates of the return correlations with three market factors for a sample of Long/Short...

Good market timing skills can be an important factor contributing to hedge funds’ outperformance. In this chapter, we use a unique semiparametric panel data model capable of providing consistent short period estimates of the return correlations with three market factors for a sample of...

This paper provides a quantitative risk analysis of leveraged ETFs (LETFs) with a focus on the impact of leverage and investment horizon. From the empirical returns of several major LETFs based on the S&P 500 index, the performance of LETFs generally declines as investment horizon increases,...

This paper studies the problem of pricing and trading of defaultable bonds among investors with heterogeneous risk preferences and beliefs. Based on the utility indifference pricing methodology, we first construct the risk-averse bid-ask spread, which naturally widens as risk aversion or trading...

This paper studies the valuation of multiple American options in an incomplete market where asset prices follow Markov-modulated dynamics. The holder's optimal hedging and exercising strategies are determined from a utility maximization problem with optimal multiple stopping. We analyze the...

This paper studies the optimal risk-averse timing to sell a risky asset. The investor's risk preference is described by the exponential, power, or log utility. Two stochastic models are considered for the asset price – the geometric Brownian motion and exponential Ornstein-Uhlenbeck models –...

A cardinality-constrained portfolio caps the number of stocks to be traded across and within groups or sectors. These limitations arise from real-world scenarios faced by fund managers, who are constrained by transaction costs and client preferences as they seek to maximize return and limit...