Matching Items (9)
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- All Subjects: Finance
- Genre: Academic theses
- Creators: Boguth, Oliver
Description
I study the performance of hedge fund managers, using quarterly stock holdings from 1995 to 2010. I use the holdings-based measure built on Ferson and Mo (2012) to decompose a manager's overall performance into stock selection and three components of timing ability: market return, volatility, and liquidity. At the aggregate level, I find that hedge fund managers have stock picking skills but no timing skills, and overall I do not find strong evidence to support their superiority. I show that the lack of abilities is driven by the large fluctuations of timing performance with market conditions. I find that conditioning information, equity capital constraints, and priority in stocks to liquidate can partly explain the weak evidence. At the individual fund level, bootstrap analysis results suggest that even top managers' abilities cannot be separated from luck. Also, I find that hedge fund managers exhibit short-horizon persistence in selectivity skill.
ContributorsKang, MinJeong (Author) / Aragon, George O. (Thesis advisor) / Hertzel, Michael G (Committee member) / Boguth, Oliver (Committee member) / Arizona State University (Publisher)
Created2013
Description
In the first chapter, I develop a representative agent model in which the purchase of consumption goods must be planned in advance. Volatility in the agent's portfolio increases the risk that a purchase cannot be implemented. This implementation risk causes the agent to make conservative consumption plans. In the model, this leads to persistent and negatively skewed consumption growth and a slow reaction of consumption to wealth shocks. The model proposes a novel explanation for the negative relation between volatility and expected utility. In equilibrium, prices of risky assets must compensate for the utility loss. Hence, the model suggests a new mechanism for generating the equity risk premium. Importantly, because implementation risk does not rely on the co-movement of asset prices with marginal utility, the resulting equity premium does not require concavity of the intratemporal utility function.
In the second chapter, I challenge the view that equity market timing always benefits
shareholders. By distinguishing the effect of a firm's equity decisions from the effect of mispricing itself, I show that market timing can decrease shareholder value. Additionally, the timing of equity sales has a more negative effect on existing shareholders than the timing of share repurchases. My theory can be used to infer firms' maximization objectives from their observed market timing strategies. I argue that the popularity of stock buybacks, the low frequency of seasoned equity offerings, and the observed post-event stock returns are consistent with managers maximizing current shareholder value.
In the second chapter, I challenge the view that equity market timing always benefits
shareholders. By distinguishing the effect of a firm's equity decisions from the effect of mispricing itself, I show that market timing can decrease shareholder value. Additionally, the timing of equity sales has a more negative effect on existing shareholders than the timing of share repurchases. My theory can be used to infer firms' maximization objectives from their observed market timing strategies. I argue that the popularity of stock buybacks, the low frequency of seasoned equity offerings, and the observed post-event stock returns are consistent with managers maximizing current shareholder value.
ContributorsWan, Pengcheng (Author) / Boguth, Oliver (Thesis advisor) / Tserlukevich, Yuri (Thesis advisor) / Babenka, Ilona (Committee member) / Arizona State University (Publisher)
Created2015
Description
By matching a CEO's place of residence in his or her formative years with U.S. Census survey data, I obtain an estimate of the CEO's family wealth and study the link between the CEO's endowed social status and firm performance. I find that, on average, CEOs born into poor families outperform those born into wealthy families, as measured by a variety of proxies for firm performance. There is no evidence of higher risk-taking by the CEOs from low social status backgrounds. Further, CEOs from less privileged families perform better in firms with high R&D spending but they underperform CEOs from wealthy families when firms operate in a more uncertain environment. Taken together, my results show that endowed family wealth of a CEO is useful in identifying his or her managerial ability.
ContributorsDu, Fangfang (Author) / Babenko, Ilona (Thesis advisor) / Bates, Thomas (Thesis advisor) / Tserlukevich, Yuri (Committee member) / Wang, Jessie (Committee member) / Arizona State University (Publisher)
Created2018
Description
In trading, volume is a measure of how much stock has been exchanged in a given period of time. Since every stock is distinctive and has an alternate measure of shares, volume can be contrasted with historical volume inside a stock to spot changes. It is likewise used to affirm value patterns, breakouts, and spot potential reversals. In my thesis, I hypothesize that the concept of trading volume can be extrapolated to social media (Twitter).
The ubiquity of social media, especially Twitter, in financial market has been overly resonant in the past couple of years. With the growth of its (Twitter) usage by news channels, financial experts and pandits, the global economy does seem to hinge on 140 characters. By analyzing the number of tweets hash tagged to a stock, a strong relation can be established between the number of people talking about it, to the trading volume of the stock.
In my work, I overt this relation and find a state of the breakout when the volume goes beyond a characterized support or resistance level.
The ubiquity of social media, especially Twitter, in financial market has been overly resonant in the past couple of years. With the growth of its (Twitter) usage by news channels, financial experts and pandits, the global economy does seem to hinge on 140 characters. By analyzing the number of tweets hash tagged to a stock, a strong relation can be established between the number of people talking about it, to the trading volume of the stock.
In my work, I overt this relation and find a state of the breakout when the volume goes beyond a characterized support or resistance level.
ContributorsAwasthi, Piyush (Author) / Davulcu, Hasan (Thesis advisor) / Tong, Hanghang (Committee member) / Sen, Arunabha (Committee member) / Arizona State University (Publisher)
Created2015
Description
There have been extensive research in how news and twitter feeds can affect the outcome of a given stock. However, a majority of this research has studied the short term effects of sentiment with a given stock price. Within this research, I studied the long-term effects of a given stock price using fundamental analysis techniques. Within this research, I collected both sentiment data and fundamental data for Apple Inc., Microsoft Corp., and Peabody Energy Corp. Using a neural network algorithm, I found that sentiment does have an effect on the annual growth of these companies but the fundamentals are more relevant when determining overall growth. The stocks which show more consistent growth hold more importance on the previous year’s stock price but companies which have less consistency in their growth showed more reliance on the revenue growth and sentiment on the overall company and CEO. I discuss how I collected my research data and used a multi-layered perceptron to predict a threshold growth of a given stock. The threshold used for this particular research was 10%. I then showed the prediction of this threshold using my perceptron and afterwards, perform an f anova test on my choice of features. The results showed the fundamentals being the better predictor of stock information but fundamentals came in a close second in several cases, proving sentiment does hold an effect over long term growth.
ContributorsReeves, Tyler Joseph (Author) / Davulcu, Hasan (Thesis advisor) / Baral, Chitta (Committee member) / Cesta, John (Committee member) / Arizona State University (Publisher)
Created2016
Description
This dissertation consists of two essays. The essay “Is Capital Reallocation Really Procyclical?” studies the cyclicality of corporate asset reallocation and its implication for aggregate productivity efficiency. Empirically, aggregate reallocation is procyclical. This is puzzling given the documented evidence that the benefits of reallocation are countercyclical. I show that this procyclicality is driven entirely by the reallocation of bundled capital (e.g., business divisions), which is highly correlated with market valuations and is unrelated to measures of productivity dispersion. In contrast, reallocation of unbundled capital (e.g., specific machinery or equipment) is countercyclical and highly correlated with dispersion in productivity growth. To gauge the aggregate productivity impact of bundled transactions, I propose a heterogeneous agentmodel of investment featuring two distinct used-capital markets as well as a sentiment component. In equilibrium, unbundled capital is reallocated for productivity gains, whereas bundled capital is also reallocated for real, or perceived, synergies in the equity market. While equity overvaluation negatively affects aggregate productivity by encouraging excessive trading of capital, its adverse impact is largely offset by its positive externality on asset liquidity in the unbundled capital market. The second essay “The Profitability of Liquidity Provision” studies the profitability of liquidity provision in the US equity market. By tracking the cumulative inventory position of all passive liquidity providers and matching each aggregate position with its offsetting trade, I construct a measure of profits to liquidity provision (realized profitability) and assess how profitability varies with the average time to offset. Using a sample of all common stocks from 2017 to 2020, I show that there is substantial variation in the horizon at which trades are turned around even for the same stock. As a
mark-to-market profit, the conventional realized spread—measured with a prespecified horizon—can deviate significantly from the realized profits to liquidity provision both in the cross-section and in the time series. I further show that, consistent with the risk-return tradeoff faced by liquidity providers as a whole, realized profitability is low for trades that are quickly turned around and high for trades that take longer to reverse.
ContributorsYang, Lingyan (Author) / Wahal, Sunil (Thesis advisor) / Boguth, Oliver (Thesis advisor) / Tserlukevich, Yuri (Committee member) / Arizona State University (Publisher)
Created2022
Description
I propose new measures of investor attention for Mutual Funds. Using the Security and Exchange Commissions’ Electronic Data Gathering, Analysis, and Retrieval (EDGAR) system’s server log files, this study is the first to explore investor attention to specific mutual funds. I find that changes, or spikes, in mutual fund investor attention are associated with funds’ introduction of a new share class, decreases in expense ratio, past performance and volatility. On average, spikes to investor attention predict net inflows into mutual funds which outpace the overall growth of the mutual fund sector. Attention via this EDGAR channel is more important when investors are researching more opaque funds. Moreover, there is a positive relationship between mutual fund investor attention and fund returns. Yet, there is evidence that investors appear to be responding to the acquisition of stale information with flows. I additionally utilize Google Trends data for individual fund tickers and investigate its effects in Mutual Fund Market. I find that Investor Attention to individual mutual funds is concentrated within Equity funds, Index funds, and Institutional funds. Individual fund attention is strongly negatively associated with expense ratios, 12B-1 Fees, and 'broker sold' funds, suggesting that funds with higher fees get less attention than low cost index funds. I find limited support for the controversial convexity in the flow to performance sensitivity in the Mutual Fund market, but only in funds with high levels of individual attention.
ContributorsWymbs, Michael (Author) / Aragon, George (Thesis advisor) / Tserlukevich, Yuri (Committee member) / Boguth, Oliver (Committee member) / Arizona State University (Publisher)
Created2021
Description
The purpose of this research is to efficiently analyze certain data provided and to see if a useful trend can be observed as a result. This trend can be used to analyze certain probabilities. There are three main pieces of data which are being analyzed in this research: The value for δ of the call and put option, the %B value of the stock, and the amount of time until expiration of the stock option. The %B value is the most important. The purpose of analyzing the data is to see the relationship between the variables and, given certain values, what is the probability the trade makes money. This result will be used in finding the probability certain trades make money over a period of time.
Since options are so dependent on probability, this research specifically analyzes stock options rather than stocks themselves. Stock options have value like stocks except options are leveraged. The most common model used to calculate the value of an option is the Black-Scholes Model [1]. There are five main variables the Black-Scholes Model uses to calculate the overall value of an option. These variables are θ, δ, γ, v, and ρ. The variable, θ is the rate of change in price of the option due to time decay, δ is the rate of change of the option’s price due to the stock’s changing value, γ is the rate of change of δ, v represents the rate of change of the value of the option in relation to the stock’s volatility, and ρ represents the rate of change in value of the option in relation to the interest rate [2]. In this research, the %B value of the stock is analyzed along with the time until expiration of the option. All options have the same δ. This is due to the fact that all the options analyzed in this experiment are less than two months from expiration and the value of δ reveals how far in or out of the money an option is.
The machine learning technique used to analyze the data and the probability
is support vector machines. Support vector machines analyze data that can be classified in one of two or more groups and attempts to find a pattern in the data to develop a model, which reliably classifies similar, future data into the correct group. This is used to analyze the outcome of stock options.
ContributorsReeves, Michael (Author) / Richa, Andrea (Thesis advisor) / McCarville, Daniel R. (Committee member) / Davulcu, Hasan (Committee member) / Arizona State University (Publisher)
Created2015
Description
The first chapter uses data on birthplaces of 2,065 Chief Executive Officers (CEO) and a county-level measure of cultural individualism based on the westward expansion in American history to establish a positive relation between CEO cultural individ- ualism and corporate innovation. Difference-in-differences estimations around CEO turnovers support the causality. Individualistic CEOs increase innovation by creating an innovative corporate culture, providing more flexibility to employees, and tolerance for failure.The second chapter develops a model to study the corporate board structure and communication. Outside directors are related to potential competitors. As a result, they can bring valuable advice and cause information leakage. The firm needs to decide whether to have outside directors on the board. In the presence of the outside director, the other directors need to determine whether to communicate.
ContributorsZhang, Fan (Author) / Boguth, Oliver (Thesis advisor) / Babenko, Ilona (Committee member) / Schiller, Christoph (Committee member) / Wang, Jessie Jiaxu (Committee member) / Arizona State University (Publisher)
Created2022