Theses and Dissertations
This collection includes both ASU Theses and Dissertations, submitted by graduate students, and the Barrett, Honors College theses submitted by undergraduate students.
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Description
Company X has developed minicomputing products that can change the way people think about minicomputer. The Product A (PRODUCT A) and Product B are relatively new products on the market that have the ability to change the way some industries use technology and increase end-user convenience. The key issue for Company X is finding targeted use cases to which Company X can market these products and increase sales. This thesis reports how our team has researched, calculated, and financially forecasted use cases for both the PRODUCT A and Product B. The Education and Healthcare industries were identified as those providing significant potential value propositions and an array of potential use cases from which we could choose to evaluate. Key competitors, market dynamics, and information obtained through interviews with a Product Line Analyst were used to size the available, obtainable, and attainable market numbers for Company X. The models built for this research provided insight into the PRODUCT A and Product B's potential growth in the education and healthcare industries. This led to the selection of education and healthcare use cases for the Product B and the PRODUCT A use cases for healthcare. This report concludes with recommendations for success in education and healthcare with the PRODUCT A and Product B.
ContributorsHoward, James (Co-author) / Kazmi, Abbas (Co-author) / Ralston, Nicholas (Co-author) / Salamatin, Mikkaela Alexis (Co-author) / Simonson, Mark (Thesis director) / Hopkins, David (Committee member) / W.P. Carey School of Business (Contributor) / Department of Finance (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
This dissertation consists of two essays. The first, titled “Market Timing in Corporate Finance Decisions: Evidence from Stock Market Anomalies” revisits the question of market timing in corporate finance by using a new mispricing measure based on stock return anomalies. Using this mispricing measure, I show that U.S. firms are 59% more likely to issue equity when overvalued and 28% more likely to repurchase shares when undervalued. Moreover, this market timing behavior is more pronounced as executives gain more personal benefits from these strategies. Executives use market timing strategies in acquisitions as well. I document that executives are more likely to use equity as currency in acquisitions when overvalued and use cash when undervalued. I find consistent evidence using an international dataset that includes 33 countries. These findings provide new evidence about market timing and support the market timing hypothesis. The second essay, titled “Monetary Policy Uncertainty and Asset Price Bubbles” examines the impact of monetary policy uncertainty (MPU) in predicting future asset price bubbles. Using US data from 1926-2019, this paper shows that greater monetary policy uncertainty leads to a greater likelihood of bubbles in industry-level returns. The result is robust to criticisms on the ex-ante identification of bubbles. This paper also documents that including MPU in machine learning models improves the models’ ability to predict bubbles in real-time.
ContributorsAlkan, Ulas (Author) / Aragon, George (Thesis advisor) / Bharath, Sreedhar (Committee member) / Tserlukevich, Yuri (Committee member) / Jiaxu Wang, Jessie (Committee member) / Arizona State University (Publisher)
Created2023