Portfolio optimization under regime switching and transaction costs: Combining neural networks and dynamic programs
Multiperiod financial models provide superior capabilities over single-period myopic
approaches but, in general, suffer from the curse of dimensionality. Prominent features …
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 …
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 …
for almost 50 years. Despite its wide-ranging success, the single-period framework suffers …
Rebalancing strategies for long-term investors
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 …
strategic decisions. The multi-stage models link asset allocation decisions with payments to …
A semiparametric graphical modelling approach for large-scale equity selection
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 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 …
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 …
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 …
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 …
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 …
they provide. They can invest in any financial instrument, take long-short positions and …