papers

Publications (5)

q-fin.CP2025

Making Leveraged Exchange-Traded Funds Work for your Portfolio

Peter Forsyth, Pieter van Staden, Yuying Li

We examine strategically incorporating broad stock market leveraged exchange-traded funds (LETFs) into investment portfolios. We demonstrate that easily understandable and implemen…

q-fin.CP2025

Smart leverage? Rethinking the role of Leveraged Exchange Traded Funds in constructing portfolios to beat a benchmark

Pieter van Staden, Peter Forsyth, Yuying Li

Leveraged Exchange Traded Funds (LETFs), while extremely controversial in the literature, remain stubbornly popular with both institutional and retail investors in practice. While…

q-fin.CP2020

Optimal Asset Allocation For Outperforming A Stochastic Benchmark Target

Chendi Ni, Yuying Li, Peter Forsyth +1

We propose a data-driven Neural Network (NN) optimization framework to determine the optimal multi-period dynamic asset allocation strategy for outperforming a general stochastic t…

cs.LG2020

Representation Learning for Dynamic Graphs: A Survey

Seyed Mehran Kazemi, Rishab Goel, Kshitij Jain +4

Graphs arise naturally in many real-world applications including social networks, recommender systems, ontologies, biology, and computational finance. Traditionally, machine learni…

math.NA2016

Piecewise Constant Policy Approximations to Hamilton-Jacobi-Bellman Equations

Christoph Reisinger, Peter Forsyth

An advantageous feature of piecewise constant policy timestepping for Hamilton-Jacobi-Bellman (HJB) equations is that different linear approximation schemes, and indeed different m…