Is this project an undergraduate, graduate, or faculty project?
Undergraduate
Project Type
individual
Authors' Class Standing
Valentin Kantchev, Senior
Lead Presenter's Name
Valentin Kantchev
Faculty Mentor Name
Jayendra Gokhale
Abstract
The purpose of this research is to identify various factors that have a strong effect on American Airlines stock (AAL) price and its returns. American Airlines was chosen for this study to see how the stock of one of the biggest aviation airliners in the world reacts with the market. The reason returns are chosen over prices is that the latter demonstrates linear dependence over time. The goal is to use data from the period of 2013-2017 for AAL, SPY (S&P 500), and WTI (W&T Offshore, Inc.) with other potential airline stocks and macroeconomic variables to conduct a correlation and multiple linear regression analysis. The data will be collected from Yahoo Finance, and then be stored in an excel document that will house the various results and analysis performed. Based on the results, we can determine which group of variables play a major role in determination of the movement of the AAL stock price, and then try to predict the price by minimizing the error.
Did this research project receive funding support (Spark, SURF, Research Abroad, Student Internal Grants, Collaborative, Climbing, or Ignite Grants) from the Office of Undergraduate Research?
No
American Airlines Stock Analysis
The purpose of this research is to identify various factors that have a strong effect on American Airlines stock (AAL) price and its returns. American Airlines was chosen for this study to see how the stock of one of the biggest aviation airliners in the world reacts with the market. The reason returns are chosen over prices is that the latter demonstrates linear dependence over time. The goal is to use data from the period of 2013-2017 for AAL, SPY (S&P 500), and WTI (W&T Offshore, Inc.) with other potential airline stocks and macroeconomic variables to conduct a correlation and multiple linear regression analysis. The data will be collected from Yahoo Finance, and then be stored in an excel document that will house the various results and analysis performed. Based on the results, we can determine which group of variables play a major role in determination of the movement of the AAL stock price, and then try to predict the price by minimizing the error.