Portfolio optimization under regime switching and transaction costs: Combining neural networks and dynamic programs

X Li, JM Mulvey - INFORMS Journal on Optimization, 2021 - pubsonline.informs.org
Multiperiod financial models provide superior capabilities over single-period myopic
approaches but, in general, suffer from the curse of dimensionality. Prominent features …

Portfolio diversification using shape-based clustering

T Lim, CS Ong - Journal of Financial Data Science, 2021 - ink.library.smu.edu.sg
Portfolio diversification involves lowering the correlation between portfolio assets to achieve
improved risk–return exposure. It is reasonable to infer from the classic Anscombe quartet …

Advantages of multiperiod portfolio models

JM Mulvey, WR Pauling… - Journal of Portfolio …, 2003 - search.proquest.com
The traditional single-period mean-variance model has been the mainstay of portfolio theory
for almost 50 years. Despite its wide-ranging success, the single-period framework suffers …

Rebalancing strategies for long-term investors

JM Mulvey, KD Simsek - … Methods in Decision-Making, Economics and …, 2002 - Springer
Leading pension plans employ asset and liability management systems for optimizing their
strategic decisions. The multi-stage models link asset allocation decisions with payments to …

A semiparametric graphical modelling approach for large-scale equity selection

H Liu, J Mulvey, T Zhao - Quantitative finance, 2016 - Taylor & Francis
We propose a new stock selection strategy that exploits rebalancing returns and improves
portfolio performance. To effectively harvest rebalancing gains, we apply ideas from elliptical …

Portfolio Management Under Multi-Period Frameworks with Modern Approaches

X Li - 2022 - search.proquest.com
Portfolio management is among the most important problems in quantitative finance, with
large audience from individuals to institutional investors. Multi-period financial models …

[BOOK][B] Stochastic optimization for enterprise risk management

Z Zhang - 2006 - search.proquest.com
Abstract Enterprise Risk Management (ERM) involves a systematic approach for evaluating
and controlling risks within a large organization. Application domains include banks …

Portfolio Optimization with Mean-reverting Assets: Combining Theory with Deep Learning.

J Ye - 2018 - dataspace.princeton.edu
We study the finite-horizon dynamic portfolio model involving mean reverting (Ornstein-
Uhlenbeck) assets in the presence of transaction costs. The goal is to maximize the …

US Market Structure: Is This What We Asked For?

R Larson - The Journal of Trading, 2011 - pm-research.com
The US equity markets have dramatically evolved over the last decade. The evolution has
been fueled by the rapid advance of technology, changes to market structure, increased …

[BOOK][B] A modeling framework for multi-strategy hedge funds

C Ural - 2006 - search.proquest.com
Hedge funds have been popular in the past decade due to the unique return opportunities
they provide. They can invest in any financial instrument, take long-short positions and …