ASU Electronic Theses and Dissertations
This collection includes most of the ASU Theses and Dissertations from 2011 to present. ASU Theses and Dissertations are available in downloadable PDF format; however, a small percentage of items are under embargo. Information about the dissertations/theses includes degree information, committee members, an abstract, supporting data or media.
In addition to the electronic theses found in the ASU Digital Repository, ASU Theses and Dissertations can be found in the ASU Library Catalog.
Dissertations and Theses granted by Arizona State University are archived and made available through a joint effort of the ASU Graduate College and the ASU Libraries. For more information or questions about this collection contact or visit the Digital Repository ETD Library Guide or contact the ASU Graduate College at email@example.com.
- 4 English
- 4 Public
- 2 Finance
- 1 Bayesian approach
- 1 Cash Flow Duration
- 1 Consumption based asset pricing model
- 1 Cross-section of stock returns
- 1 Debt service ratio
- 1 Dividend Policy
- 1 Empirical likelihood
- 1 Equity risk premium
- 1 Financial obligation ratio
- 1 Generalized method of moments
- 1 Investment
- 1 Labeling Effect
- 1 Market returns predictability
- 1 Stochastic Frontier Analysis
- 1 Structural Estimation
This dissertation applies the Bayesian approach as a method to improve the estimation efficiency of existing econometric tools. The first chapter suggests the Continuous Choice Bayesian (CCB) estimator which combines the Bayesian approach with the Continuous Choice (CC) estimator suggested by Imai and Keane (2004). Using simulation study, I provide two important findings. First, the CC estimator clearly has better finite sample properties compared to a frequently used Discrete Choice (DC) estimator. Second, the CCB estimator has better estimation efficiency when data size is relatively small and it still retains the advantage of the CC estimator over the DC estimator. ...
- Choi, Kwang-shin, Ahn, Seung, Mehra, Rajnish, et al.
- Created Date
This dissertation consists of two essays on corporate policy. The first chapter analyzes whether being labeled a “growth” firm or a “value” firm affects the firm’s dividend policy. I focus on the dividend policy because of its discretionary nature and the link to investor demand. To address endogeneity concerns, I use regression discontinuity design around the threshold to assign firms to each category. The results show that “value” firms have a significantly higher dividend payout - about four percentage points - than growth firms. This approach establishes a causal link between firm “growth/value” labels and dividend policy. The second chapter ...
- Lee, Tae Eui, Mehra, Rajnish, Tserlukevich, Yuri, et al.
- Created Date
This dissertation is a collection of three essays relating household financial obligations to asset prices. Financial obligations include both debt payments and other financial commitments. In the first essay, I investigate how household financial obligations affect the equity premium. I modify the standard Mehra-Prescott (1985) consumption-based asset pricing model to resolve the equity risk premium puzzle. I focus on two channels: the preference channel and the borrowing constraints channel. Under reasonable parameterizations, my model generates equity risk premiums similar in magnitudes to those observed in U.S. data. Furthermore, I show that relaxing the borrowing constraint shrinks the equity risk premium. ...
- Jahangiry, Pedram, Mehra, Rajnish, Wahal, Sunil, et al.
- Created Date
Schennach (2007) has shown that the Empirical Likelihood (EL) estimator may not be asymptotically normal when a misspecified model is estimated. This problem occurs because the empirical probabilities of individual observations are restricted to be positive. I find that even the EL estimator computed without the restriction can fail to be asymptotically normal for misspecified models if the sample moments weighted by unrestricted empirical probabilities do not have finite population moments. As a remedy for this problem, I propose a group of alternative estimators which I refer to as modified EL (MEL) estimators. For correctly specified models, these estimators have ...
- Xiang, Jin, Ahn, Seung, Wahal, Sunil, et al.
- Created Date