Programme

MA in International Business

Keywords

Natural Gas Returns, 10-Year Treasury Yield Changes, Financial Markets.

Abstract

This study investigates the dynamic interrelationships among ConocoPhillips (COP) stock returns, natural gas prices, the S&P500 index, and changes in the U.S. 10-Year Treasury bond yield using a Vector Autoregressive (VAR) model over the period January 2020 to July 2025. Weekly data are used to estimate a VAR(4) model, allowing for lagged and contemporaneous interactions across financial and commodity markets. The variables are treated as endogenous, with the model validated through stationarity testing, Johansen cointegration analysis, and diagnostic checks.

Cholesky decomposition is employed for structural identification, with the 10-Year Treasury yield ordered as the most exogenous variable. Wild bootstrap techniques are applied to construct confidence intervals for impulse response functions (IRFs) and forecast error variance decomposition (FEVD) is used to assess the contribution of each shock to COP stock return volatility.

Results show that ConocoPhillips stock returns are primarily driven by their own lags and S&P500 movements. Natural gas returns, while central to ConocoPhillips’ operations, exhibit strong autoregressive behavior but have limited direct influence on ConocoPhillips stock returns in the short run. S&P500 returns respond significantly to shocks in both ConocoPhillips stock returns  and natural gas returns, while the 10-Year Treasury yield changes exhibit only weak and delayed effects but play a key structural role in the system.

These findings highlight the asymmetrical and time-dependent nature of interactions between energy equities, commodity prices, and macro-financial indicators. The results offer actionable insights for investors, risk managers, and policymakers to understand the firm-level exposure within broader market dynamics.

Date of Award

2025

Full Publication Date

2025

Access Rights

open access

Document Type

Capstone Project

Resource Type

thesis

Digital Object Identifier (DOI)

https://doi.org/10.63227/652.299.126

Included in

Business Commons

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