Date of Award

12-2017

Degree Type

Report

Degree Name

Master of Science (MS)

Department

Economics and Finance

First Advisor

Tyler Brough

Abstract

This paper is the replication of Alizadeh and Nomikos (2008) Performance of Statistical Arbitrage in Petroleum Futures Markets. Cited methodology from the original paper, this paper investigates the linkages between commodities in the future markets and apply trading strategy based on statistical analysis. The trading strategy is established based on cointegration relationships between commodities and execute trading rules to determine long-short positions. The robustness of trading result will be implemented by using stationary bootstrap approach. From the result, we can see the trading strategy based on cointegration relationship analysis is efficient to set up trading strategies in given datasets.

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