Skip navigation
Please use this identifier to cite or link to this item: http://arks.princeton.edu/ark:/88435/dsp01b2774003j
Title: Integration of the Regime-Switching Framework for Portfolio Construction with Commodity Futures
Authors: Bae, Ellie
Advisors: Mulvey, John
Department: Operations Research and Financial Engineering
Certificate Program: Applications of Computing Program
Class Year: 2024
Abstract: Commodity futures have long been considered excellent portfolio diversifiers due to their low correlation with other traditional financial assets. However, given the susceptibility of commodity futures markets to upheavals from both external (e.g., geopolitical events) and internal factors (e.g., shifts in supply and demand) — with volatility accentuated by global crises such as the Covid-19 pandemic and the Russian invasion of Ukraine — it is pivotal that investors capture these market dynamics accurately. In this study, we explore the application of the regime-switching framework to construct portfolios including commodity futures. Our research employs advanced methodologies to precisely identify and predict periods of price contagion within the commodity futures markets. Using the regime-switching framework, we optimize strategies of mean reversion, trend-following, and risk parity. We then assess these strategies against traditional portfolios, evaluating them through various performance metrics and varying degrees of diversification. Our findings reveal that the regime-switching framework significantly enhances strategy performance, offering higher risk-adjusted returns and superior drawdown management, although the efficacy of our approach appears to be influenced by the portfolio's composition, the selected commodity index, and the investor's risk tolerance. This paper thus demonstrates the regime-switching framework's potential to provide investors with a novel methodology for leveraging the unique benefits of commodity futures in volatile market conditions.
URI: http://arks.princeton.edu/ark:/88435/dsp01b2774003j
Type of Material: Princeton University Senior Theses
Language: en
Appears in Collections:Operations Research and Financial Engineering, 2000-2024

Files in This Item:
File Description SizeFormat 
BAE-ELLIE-THESIS.pdf5.42 MBAdobe PDF    Request a copy


Items in Dataspace are protected by copyright, with all rights reserved, unless otherwise indicated.