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Throughout its three chapters, this dissertation examines a phenomenon that, although underappreciated and underinvestigated in the existing literature, should be of great interest to entrepreneurship scholars: angel investing in the United States. While most of the existing studies of venture financing have predominantly focused on venture capital (VC) funding, angel investing—that is, wealthy individuals investing their own money in new ventures—represents almost as large of a market as venture capital, and recent empirical evidence suggests that ventures financed by angel investors tend to be more successful than comparable ventures that are not angel-financed. More interestingly, perhaps, angel investing tends to focus on ventures at the earliest stage, which leads to investor making decisions based on very little hard evidence. This results in the attempt, on the investors’ part, to reduce uncertainty by leveraging one’s connections and community-level patterns of social relations. In this regard, this dissertation’s main objective is perhaps to tackle the existing literature’s “undersocialized” take on venture financing, and to show the sociological mechanisms that might underpin the decision by entrepreneurs to enter the angel investing market by becoming suppliers of capital, as well as their capital allocation choices, i.e. their investment decisions. Additionally, this work also examines the drivers of success for angel investors, with a view to explaining—at least in part—why certain individuals are wildly more successful than others at angel investing. Empirically, my work relies on a combination of archival data—primarily data gathered from online data source CrunchBase, but also U.S. Census data and hand-collected information from LinkedIn—and fieldwork in the form of interviews with entrepreneurs and angel investors, as well as participant observation at the Angel Capital Association Annual Meeting in San Francisco, the largest yearly gathering of angel investors. The resulting empirical patterns, both qualitative and quantitative, when taken in their entirety suggests that angel investing is a social process, and particularly that entrepreneurs are socialized into becoming angel investors by interacting with the angels who finance their ventures. Further, this work offers evidence that community-level patterns of socialization—i.e. what is generally known in sociology as community social capital—also plays a role in determining whether entrepreneurs will become angel investors and, once they choose to take this step, whether they will show a preference for financing local ventures vis-à-vis pursuing investment opportunities elsewhere. Finally, this work also addresses the question of angel investing outcomes—that is, why some angel investors are more successful than others, as measured by the number of exits in their investment portfolio. In this regard, empirical results suggest that generalists do better than specialists, and that angel investors with broad entrepreneurial experience are found to do especially well. Success is also a function of effective knowledge translation: on average, successful entrepreneurs tend to become more successful angels, and especially so the greater the overlap between the entrepreneurial experience of the founder and their angel investment portfolio.

I investigate whether a firm’s social capital with investors impacts its non-GAAP reporting decisions. Critics of non-GAAP reporting suggest that non-GAAP earnings are incomplete, inaccurate, and can be misleading (Derby, 2001; Dreman, 2001; Elstein, 2001; Black et al., 2007). Firms might be hesitant to provide non-GAAP information if other means are available to transfer information. Social capital provides an alternate method of informing investors. However, social capital might also play another role in the information environment by building trust between managers and investors (Gabarro, 1978; Gulati, 1995). This trust may reduce investor skepticism of non-GAAP information, enhancing the value of non-GAAP disclosures. Additionally, I examine what impact social capital might have on investors’ investment decisions with respect to non-GAAP reporting. Despite critics’ concerns over non-GAAP reporting, prior literature suggests investors’ reactions are more aligned with the non-GAAP definition of earnings (Bradshaw and Sloan, 2002; Bhattacharya et al., 2003), suggesting other factors might influence investors’ decisions. I investigate whether social capital plays a role in reducing skepticism in non-GAAP information leading to reduced information asymmetry and increased investor reaction to non-GAAP disclosures. I find that non-GAAP reporting is increasing in social capital with investors. However, I find no evidence that investor reactions to non-GAAP earnings information differ based on firms’ social capital with investors. I also find information asymmetry around earnings announcements is higher for non-GAAP reporting firms with greater social capital with investors in comparison to non-GAAP reporters with lower social capital. Taken together, my results suggest social capital impacts the decisions of firms in reporting non-GAAP earnings information, but not the decisions of investors. My results are relevant to the current disclosure environment in that non-GAAP reporting is a current topic of interest for regulators with several updates to non-GAAP guidance having recently occurred. / Includes bibliography. / Dissertation (Ph.D.)--Florida Atlantic University, 2019. / FAU Electronic Theses and Dissertations Collection

This dissertation focuses on institutional investors in corporate bond markets and their impacts on the underlying corporate bonds. The dissertation is composed of three chapters. The first chapter studies how information networks of corporate bond mutual funds may be constructed. It highlights how information flow between corporate bond mutual funds affects fund performance, herding behaviors, and the underlying corporate bond market. By examining the trading behavior of corporate bond mutual funds, I show that bond funds in more central positions of a trading network have an informational advantage that results in 0.33% higher future fund risk-adjusted return. This positive relationship becomes stronger during periods of high market uncertainty and for bond funds with more liquid assets as they can respond to the information signal with a lower asset reallocation cost. I further show that manager turnover, ranking pressure, and fund flow fluctuation drive within-fund time varying changes in network centrality. The second chapter exploits the influence of information networks of corporate bond mutual funds on their underlying corporate bonds. I show that corporate bonds owned by highly network-central bond funds increase underlying liquidity, leading to a 3.5% decrease in future bid/ask spreads and a lower Amihud illiquidity measure. This is hypothesized to occur due to increased information efficiency, which allows for more bond specific information to be reflected in the price, and intensified herding behavior. Moreover, I construct a network to represent herding behavior by following the same trades across quarters. A 0.3% decrease in risk-adjusted fund return is found for bond funds that have the strongest herding behavior. The third chapter studies how corporate bond exchange-traded funds (ETF) impact the underlying corporate bond return comovement and how it relates to trading and arbitrage activities of corporate bond ETFs. The literature is silence about the effect of corporate bond ETFs on the comovement of underlying bond securities. This chapter aims to fill this gap by providing the first empirical evidence of bond return comovement driven by bond ETFs ownership. I find that bond ownership by corporate bond ETFs leads to higher bond return comovement, an increase of 0.26 in the beta of corporate bond return with respect to the aggregate bond portfolio. In contrast, bond ownership by other traditional institutional investors in the corporate bond market like bond mutual funds and insurance companies do not contribute to corporate bond return comovement. Furthermore, this chapter highlights that return comovement is driven by corporate bond ETFs’ creation and redemption activities.

This thesis investigates key issues concerning how active equity fund managers add value: measuring alpha (Chapter 3), generating alpha (Chapters 4, 5 and 6) and transaction cost minimisation (Chapter 7). Chapter 3 proposes important methodological adjustments to the widely adopted benchmarking methodology of Daniel, Grinblatt, Titman and Wermers (1997). Applying this modified benchmark to a sample of active funds and simulated passive portfolios that mimic fund manager style characteristics, statistically lower tracking error is documented, compared with using the standard methodology. These findings suggest that improved specifications of characteristic benchmarks represent better methods in accurately quantifying fund manager skill. Chapter 4 examines a portfolio strategy which selects stocks using the undisclosed monthly holdings of Australian active funds. When considering a large range of strategies incorporating portfolio holdings information, the top performing strategies are robust to data-snooping and are economically and statistically significant when incorporating transaction costs. Accounting for look-ahead bias in the formation of a strategy, statistically significant alpha of at least 6.88 percent per year is found when following the best performing strategy holding 20 stocks or more in the previous month. Chapter 5 examines the relation of active equity fund managers location proximity to a stock??s corporate headquarter using portfolio holdings data. Contrary to much international research, this study reveals evidence inconsistent with a location advantage for Melbourne and Sydney-based funds. Chapter 6 examines retail investor trading on the Australian Stock Exchange. The performance of retail investors is highly heterogeneous: discount (non-discount) retail brokerage investors lose -0.59 (-0.05) percent intraday and experience negative (positive) returns over the subsequent year. These findings are inconsistent with retail investors exerting price pressure or providing liquidity to institutions. Chapter 7 examines whether equity fund managers use multiple brokers in a trade package in order to lower their price impact and brokerage costs. Using the daily trades of funds, multiple broker trades are not found to have lower costs compared to a single broker, even when controlling for the informativeness of the trade package and potential endogeneity. These findings suggest that fund managers do not lower their costs when using multiple brokers.

<p>This study is concerned with business angels’ investments process and which aspects in their choice of target firms are considered important in that process. The problem statement of this thesis is; what aspects play a role in Business angels’ investment decision, and in what way? How do these aspects affect business angels when making investment decisions, and why? The aim subsequently is concerned with discerning what is most important for business angels when choosing their target firms and how business angels make their investment decisions. We also aim to be able to create a deeper understanding of business angels, and contribute to small entrepreneurial firms in their search for financiers. Our research can provide information on how entrepreneurs can attract business angels.</p><p>The study is created with previous studies as a framework, and a wide selection of studies have been used. These have been examined and issues which in those studies have been found to be important for business angels have been reviewed and accounted for in the theory chapter.</p><p>The approach we used for data collection was through qualitative interviews with the use of an interview guide. This is explained by our aspiration to understand business angels’ investment criteria rather than describe them. Due to this, the view of interpretivism along with constructionism was taken on when constructing the interviews and findings. The respondents were found through business angels networks, and the selection of business angels entailed a fair representation of the researched group. This thesis has been conducted in an academically correct manner, and the results are validated and confirmed by the respondents.</p><p>The results we came to from our interviews were that the entrepreneur was most important for business angels in their evaluations, but other aspects also played a role. We analyzed our results with the use of our theory section and hence could see that some things we had come up with were unique, whilst some findings confirmed previous studies. We found that many business angels turn down investments due to their lack of time, which was a rather new emphasize for this study. Some qualities of the entrepreneur the business angels required were that they needed to be sales oriented and not overly optimistic about the future returns and prosperity of their ventures. We have shown that if entrepreneurs are overly optimistic about the value of their own firm it is likely that they will lose the deal. This was also of interest as it has not been stated as clearly in previous studies.</p><p>We conclude the thesis by giving advice to entrepreneurs and business angels, what future business angels should keep in mind and also what entrepreneurs should know before they involve themselves with business angels.</p>

This study is concerned with business angels’ investments process and which aspects in their choice of target firms are considered important in that process. The problem statement of this thesis is; what aspects play a role in Business angels’ investment decision, and in what way? How do these aspects affect business angels when making investment decisions, and why? The aim subsequently is concerned with discerning what is most important for business angels when choosing their target firms and how business angels make their investment decisions. We also aim to be able to create a deeper understanding of business angels, and contribute to small entrepreneurial firms in their search for financiers. Our research can provide information on how entrepreneurs can attract business angels. The study is created with previous studies as a framework, and a wide selection of studies have been used. These have been examined and issues which in those studies have been found to be important for business angels have been reviewed and accounted for in the theory chapter. The approach we used for data collection was through qualitative interviews with the use of an interview guide. This is explained by our aspiration to understand business angels’ investment criteria rather than describe them. Due to this, the view of interpretivism along with constructionism was taken on when constructing the interviews and findings. The respondents were found through business angels networks, and the selection of business angels entailed a fair representation of the researched group. This thesis has been conducted in an academically correct manner, and the results are validated and confirmed by the respondents. The results we came to from our interviews were that the entrepreneur was most important for business angels in their evaluations, but other aspects also played a role. We analyzed our results with the use of our theory section and hence could see that some things we had come up with were unique, whilst some findings confirmed previous studies. We found that many business angels turn down investments due to their lack of time, which was a rather new emphasize for this study. Some qualities of the entrepreneur the business angels required were that they needed to be sales oriented and not overly optimistic about the future returns and prosperity of their ventures. We have shown that if entrepreneurs are overly optimistic about the value of their own firm it is likely that they will lose the deal. This was also of interest as it has not been stated as clearly in previous studies. We conclude the thesis by giving advice to entrepreneurs and business angels, what future business angels should keep in mind and also what entrepreneurs should know before they involve themselves with business angels.

<p>Background:</p><p>Recent business paper articles observe that stocks soar when there is a change in ownership. The clothing company JC climbed 26% when it was announced Torsten Jansson had increased his holdings. Daydream, a computer game developer, followed this trend increasing its market value by 17% on the news that TA Capital had increased its hold-ings. In these examples, the market learned of the changes in ownership through a press release created by the acquiring entity. These pieces of news, also known as ownership disclosures, is the target of this thesis.</p><p>Purpose:</p><p>The purpose of this thesis is to investigate whether ownership disclosures result in abnormal stock price changes. Furthermore, the aim is to find out if there are any differ-ences in returns depending on who announced the ownership disclosure. In order to fulfil this purpose, a quantitative approach was used.</p><p>Method:</p><p>A random sample of 160 ownership disclosures is gathered. 77 of these are classified as passive- and 83 as active investors. For each of these pieces of news, 183 days of historical stock price data is retrieved. This data is then parsed through the market model event-study framework.</p><p>Findings:</p><p>Graphically analyzing the whole sample indicates that the market is not efficient in its strong form. The same is true when dividing the sample into passive- and active investors. Statistically, an abnormal return is confirmed for the active investors, but not for the whole sample or the passive investors.</p><p>Conclusion:</p><p>By looking at the price change effects of ownership disclosures, the Stockholm Stock Exchange O-list is determined to be efficient at the semi-strong level. The anomaly caused by active investors leads to the possibility of making a profit of 2.70% between day -1 and day +1 relative to the day of the ownership disclosure being sent out. It should be noted, though, that transaction costs and taxes are not taken into consideration.</p>

It is well known that small businesses and entrepreneurs in the initial phase has difficult to gain access to external capital and bank loans. With the background of the problems that entrepreneurs face when they ask for capital has since the financial crisis the phenomenon of crowdfunding developed and evolved. Crowdfunding is an alternative source of funding for entrepreneurs to fund their ideas through small or medium-sized capital contribution from a larger amount of investors, often investors who have any kind of relationship with the entrepreneur or to the very idea. This study examined the factors that motivate and guide an investor's decisions when they select their projects. The results of the study show that the motives of the various existing forms of crowdfunding is big. To answer the question of what can affect an investor's motives, the form of crowdfunding must be mentioned. The motivational factors in the study turns out to be local projects, social benefits in the form of altruism, affiliation, shared values as well as the monetary returns and material rewards.

This dissertation consists of two empirical essays on investor behavior and liquidity variation. The results demonstrate the important role of investors in affecting liquidity. The first essay examines how the fluctuation in the aggregate stock market liquidity is related to investor sentiment. I find that the stock market is more liquid when investor sentiment is higher. This evidence is consistent with the theoretical prediction that higher investor sentiment increases stock market liquidity. The second essay investigates whether the cross-sectional differences in liquidity are affected by institutional ownership. I document that stocks with larger increases in the number of institutional investors are more liquid than other stocks. This result is consistent with the prediction that information competition among institutional investors increases stock liquidity. / text