activity
20102021
most citedStochastic Modeling and Fair Valuation of Drawdown Insurance

42 citations · 144 across the 29 of their papers we have counts for

collaborators
Showing 2015Show all

9 papers · 1 filter

q-fin.MF2015

Optimal Static Quadratic Hedging

Tim Leung, Matthew Lorig

We propose a flexible framework for hedging a contingent claim by holding static positions in vanilla European calls, puts, bonds, and forwards. A model-free expression is derived…

q-fin.MF2015★ 17 cited

An analytic recursive method for optimal multiple stopping: Canadization and phase-type fitting

Tim Leung, Kazutoshi Yamazaki, Hongzhong Zhang

We study an optimal multiple stopping problem for call-type payoff driven by a spectrally negative Levy process. The stopping times are separated by constant refraction times, and…

q-fin.MF2015★ 8 cited

Optimal Multiple Stopping with Negative Discount Rate and Random Refraction Times under Levy Models

Tim Leung, Kazutoshi Yamazaki, Hongzhong Zhang

This paper studies a class of optimal multiple stopping problems driven by Lévy processes. Our model allows for a negative effective discount rate, which arises in a number of fina…

q-fin.PR2015

ESO Valuation with Job Termination Risk and Jumps in Stock Price

Tim Leung, Haohua Wan

Employee stock options (ESOs) are American-style call options that can be terminated early due to employment shock. This paper studies an ESO valuation framework that accounts for…

q-fin.TR2015

Optimal Multiple Trading Times Under the Exponential OU Model with Transaction Costs

Tim Leung, Xin Li, Zheng Wang

This paper studies the timing of trades under mean-reverting price dynamics subject to fixed transaction costs. We solve an optimal double stopping problem to determine the optimal…

econ.GN2015

An Optimal Multiple Stopping Approach to Infrastructure Investment Decisions

Eric Dahlgren, Tim Leung

The energy and material processing industries are traditionally characterized by very large-scale physical capital that is custom-built with long lead times and long lifetimes. How…