Finance

My first study proposes that stock price manipulation erodes trust, damages corporate reputation, reorients management towards short-termism, harms entrepreneurial innovation culture, and increases the cost of capital. I tested these ideas by linking stock manipulation data to corporate venture capital data for firms listed on NASDAQ and NYSE. The data indicate CVC investments in entrepreneurial firms are followed by a rise in market manipulation in the short run [-3 months, +3 months], but a decline thereafter. The data further indicates that stock manipulation harms the ability of CVCs to form investment syndicates and reduces the likelihood of successful IPO and acquisition exits. The hazard rate to IPO is 0.54 for CVC-backed firms that face market manipulation. Overall, the theory and evidence provide insights into how firm's manipulation can damage the effectiveness of their venture capital endeavors, ultimately contributing to sustainable growth and innovation.

The recent increase in common ownership makes it imperative to study the impact of common ownership on corporate policies. In this two-essay study, I examine how common owners interact with firms to make decisions and how they moderate the impact of market manipulation on corporate culture.
In the first essay, I examine whether firms in the same industry make similar investment and financial policies when their large institutional owners overlap. This relationship is important given the tremendous rise of common institutional owners and their significance on their portfolio firms’ policies. I hypothesize that common institutional owners cause their portfolio firms in the same industry to make similar policies by creating anti-competitive incentives, reducing information asymmetry, and influencing governance.

In finance, various stochastic models have been used to describe the price movements of financial instruments. After Merton's [38] seminal work, several jump diffusion models for option pricing and risk management have been proposed. In this dissertation, we add alpha-stable Levy motion to the process related to dynamics of log-returns in the Black-Scholes model where the volatility is assumed to be constant. We use the sample characteristic function approach in order to study parameter estimation for discretely observed stochastic differential equations driven by Levy noises. We also discuss the consistency and asymptotic properties of the proposed estimators. Simulation results of the model are also presented to show the validity of the estimators. We then propose a new model where the volatility is not a constant. We consider generalized alpha-stable geometric Levy processes where the stochastic volatility follows the Cox-Ingersoll-Ross (CIR) model in Cox et al. [9]. A number of methods have been proposed for estimating parameters for stable laws. However, a complication arises in estimation of the parameters in our model because of the presence of the unobservable stochastic volatility. To combat this complication we use the sample characteristic function method proposed by Press [48] and the conditional least squares method as mentioned in Overbeck and Ryden [47] to estimate all the parameters. We then discuss the consistency and asymptotic properties of the proposed estimators and establish a Central Limit Theorem. We perform simulations to assess the validity of the estimators. We also present several tables to show the comparison of estimators using different choices of arguments ui's. We conclude that all the estimators converge as expected regardless of the choice of ui's.

This study operationalized Bekkers and Wiepking's (2007, 2011) eight theoretical mechanisms that drive private giving, examining them within the context of alumni donor behavior at a selected public university in the southern region of the United States. The purpose of the study was to determine if the theoretical mechanisms that drive private giving represent distinct psychometric dimensions, and whether they are correlated with one another or essentially independent. A survey with 24 original items was created for this study, and completed by 178 alumni association member donors and non-member donors from the selected university. The study found support for six factors that are relatively independent of one another, contributing meaningfully to the overall multidimensional construct. The found factors were labeled efficacy, solicitation, reputation, values, altruism, and awareness of need as they fit reasonably well according to their original names. No differences were found between the mean response scores for alumni association member donors and non-member donors across the six dimensions. These results are beneficial for university fundraisers, alumni relations professionals, researchers in the field of philanthropy, and methodologists interested in developing instruments that measure the motivations for private giving.

In essay I, I empirically examine theoretical inferences of real options models regarding the effects of business risk on the pricing of firms engaged in corporate control transactions. This study shows that the risk differential between the merging firms has a significant effect on the risk dynamic of bidding firms around control transactions and that the at-announcement risk dynamic is negatively related to that in the preannouncement period. In addition, the relative size of the target, the volatility of bidder cash flows, and the relative growth rate of the bidder have significant explanatory power in the cross-section of announcement returns to bidding firm shareholders as does the change in the cost of capital resulting from the transaction. Essay II provides an empirical analysis of a second set of real options models that theoretically examine the dynamics of financial risk around control transactions as well as the link between financial leverage and the probability of acquisition. In addition, I present a comparison of the financial risk dynamics of firms that choose an external growth strategy, through acquisition, and those that pursue an internal growth strategy through capital expenditures that are unrelated to acquisition.

I examine the impact of real earnings management (REM) and corporate governance on cash holdings. Extant research documents an increase in both cash holdings and REM activity in recent years and shows that agency conflicts influence both the levels and valuations of cash holdings. Motivated by agency problems of REM and Jensen's (1986) arguments concerning the free cash flow problem, I investigate whether opportunistic asset sales and reductions in discretionary expenditures are associated with levels and valuations of cash holdings. Prior research also shows that strong corporate governance mitigates opportunistic earnings management behavior and enhances the valuation of cash holdings. Using empirical models from prior research, I document that REM is positively associated with cash holdings, investors discount cash holdings of high REM firms, and, among high REM firms, valuations of cash holdings of weak corporate governance firms are discounted significantly lower relative to those of strong corporate governance firms. My study unites two lines of research by incorporating agency problems concerning REM with levels and valuations of cash holdings.

The main objective of this thesis is to simulate, evaluate and discuss three standard methodologies of calculating Value-at-Risk (VaR) : Historical simulation, the Variance-covariance method and Monte Carlo simulations. Historical simulation is the most common nonparametric method. The Variance-covariance and Monte Carlo simulations are widely used parametric methods. This thesis defines the three aforementioned VaR methodologies, and uses each to calculate 1-day VaR for a hypothetical portfolio through MATLAB simulations. The evaluation of the results shows that historical simulation yields the most reliable 1-day VaR for the hypothetical portfolio under extreme market conditions. Finally, this paper concludes with a suggestion for further studies : a heavy-tail distribution should be used in order to imporve the accuracy of the results for the two parametric methods used in this study.

This dissertation is a growth options analysis of high tech mergers. I analyze the impact growth options have on the likelihood of a high tech firm being acquired, the premiums paid for these acquisitions, and the synergies that result from these mergers. I examine how proxies for growth options interact with those for the resources needed to fund growth. A significant part of my analysis involves developing and examining a new growth options proxy, Gamma, the return on investment a firm realizes in growth options value from its R&D expenditures. I find that firms that are better than their peers in converting R&D into growth options value, i.e. they have high Gamma, are more likely to be targeted for acquisition than low-Gamma firms. The premiums paid are impacted most by the characteristics of the deal, primarily when deals are competitive, and GDP growth. The acquirer's Gamma, however, is very significant in predicting premiums. Acquiring firms with high Gamma pay significantly lower premiums. The synergies that result from a merger are measured in short and long run returns, and most mergers result in value destruction to the combined firm. In the fewer than 20% of the mergers that resulted in positive long run abnormal returns, the premium paid and whether the deal was competitive significantly reduced the returns. However the two characteristics that significantly increased returns were the acquirer's Gamma and if the acquirer and target had complementary characteristics for growth options levels and free cash flow.

As a consequence of financial analysts' joint role as information intermediaries and firm monitors, I investigate analysts' responses to opportunistic corporate earnings management as firm mispricing increases. While firms' management have capital markets and executive equity incentives to manage earnings, financial analysts have trading volume, investment banking, and management information incentives which result in analysts' optimism bias. However, prior research also finds that analysts have reputational incentives, which motivate them to provide accurate and profitable outlooks. Using a generalized linear model (GLM), I estimate analysts' stock recommendation (price targets) responses for earnings management firms. I use the residual income model to compute fundamental value and I add proxies for earnings management to my analyst-responses models.... The main implications of my findings are that analysts use corporate earnings management and firm fundamental value in their stock recommendations (price targets) responses. In addition, my results provide evidence that, after controlling for earnings quality, analysts' stock recommendations (price targets) are consistent with strategies based on residual income models. These findings will be of interest to shareholders, regulators, and researchers as well as to finance and accounting practitioners.

The federal Low Income Housing Tax Credit (LIHTC) program, authorized in 1986, has gained recognition over the last decade as America's largest place-based subsidized housing production program. The Qualified Census Tract (QCT) provision of the LIHTC program awards developers for projects built in high-poverty neighborhoods. This research examines whether the QCT provision is deconcentrating poverty or instead perpetuating it by comparing QCTs with LIHTC projects against QCTs with no LIHTC projects. In this study, a socioeconomic index is created to examine changes in socioeconomic variables (poverty, income, unemployment, and education) using 1990 Decennial Census data and 2005-2009 American Community Survey data for the twenty most populated MSAs in the United States to determine how LIHTC projects have changed the landscape of poverty in urban QCTs. Control and target groups were established to analyze the impact of LIHTC projects in QCTs. The control group consists of QCTs with no LIHTC projects and the target group contains QCTs with LIHTC projects. In order to determine how the socioeconomic variables have changed over the last fifteen years, the percent change from 1990 to 2005-2009 was calculated for each tract. Independent Sample T-tests were conducted at the national level, MSA level, and county level (when the sample size was large enough) using SPSS to determine if the difference in the target group's derived socioeconomic index and variables were significantly different from the control group. The findings indicate the target groups overwhelmingly outperformed the control groups for the socioeconomic index and every variable except unemployment. The results of this study may be valuable for policymakers to develop thresholds and guidelines for future LIHTC development in areas concentrated by poverty.