Mentor: Dr. David Brown
Warrington College of Business Administration
"I found many of the topics I covered in my higher level finance classes to be intriguing but constrained by a traditional curriculum. Within my classes we were not able to achieve the depth of exploration that I would have enjoyed because of time constraints. Doing research on my own allows me to explore and analyze these concepts and relationships outside a structured learning environment."
- Financial Economics
- Mentored High School Students at Reichert House
Hobbies and Interests
- Scuba Diving
- Playing Sports
Predicting Merger Wave Activity in the Energy Industry
The purpose of my thesis is two fold first to predict the next appearance of a merger wave within the energy industry, which I suspect will happen within the next few years and also to measure shareholder returns in mergers initiated in a wave versus those out of wave merger activity in the energy industry.Recent literature has pointed to a plethora of sources of inefficiencies that create overvaluations in the premiums that acquirers pay for targets in merger waves and ultimately destroy shareholder value when the synergies or growth predicted by analyst forecasts don't come to fruition. My aim is to limit the study to strictly the energy industry in anticipation of the next merger wave within this sector. Using regression analysis ill attempt to predicate the leading indicators for wave initiation within the energy industry, analyzing both company specific and macro economic variables.