Degree Type

Thesis

Date of Award

2012

Degree Name

Master of Science

Department

Apparel, Events and Hospitality Management

First Advisor

Tianshu Zheng

Abstract

This study attempted to identify, quantify, and explain the possible impact the recession had on restaurant stock performance in comparison with the S&P 500 index using ARIMA with Intervention analysis approach and t-tests. Based on the North American Industry Classification System, limited-service (NAICS code 722211) and full-service restaurant segments (NAICS code722110) were examined. The results of this study suggest that the limited-service restaurant segment was recession-proof and outperformed both the full-service restaurant segment and the S&P 500 index. The findings of this study will not only provide the industry with empirical evidence of restaurant performance during and after the recession; but also fill the gap of literature by applying ARIMA with Intervention Analysis in identifying the lag time of impact an event has on time series.

Copyright Owner

Xiaofan Wang

Language

en

File Format

application/pdf

File Size

99 pages

Included in

Economics Commons

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