Matching Items (17)
Description
In this dissertation, I examine the source of some of the anomalous capital market outcomes that have been documented for firms with high accruals. Chapter 2 develops and implements a methodology that decomposes a firm's discretionary accruals into a firm-specific and an industry-specific component. I use this decomposition to investigate which component drives the subsequent negative returns associated with firms with high discretionary accruals. My results suggest that these abnormal returns are driven by the firm-specific component of discretionary accruals. Moreover, although industry-specific discretionary accruals do not directly contribute towards this anomaly, I find that it is precisely when industry-specific discretionary accruals are high that firms with high firm-specific discretionary accruals subsequently earn these negative returns. While consistent with irrational mispricing or a rational risk premium associated with high discretionary accruals, these findings also support a transactions-cost based explanation for the accruals anomaly whereby search costs associated with distinguishing between value-relevant and manipulative discretionary accruals can induce investors to overlook potential earnings manipulation. Chapter 3 extends the decomposition to examine the role of firm-specific and industry-specific discretionary accruals in explaining the subsequent market underperformance and negative analysts' forecast errors documented for firms issuing equity. I examine the post-issue market returns and analysts' forecast errors for a sample of seasoned equity issues between 1975 and 2004 and find that offering-year firm-specific discretionary accruals can partially explain these anomalous capital market outcomes. Nonetheless, I find this predictive power of firm-specific accruals to be more pronounced for issues that occur during 1975 - 1989 compared to issues taking place between 1990 and 2004. Additionally, I find no evidence that investors and analysts are more overoptimistic about the prospects of issuers that have both high firm-specific and industry-specific discretionary accruals (compared to firms with high discretionary accruals in general). The results indicate no role for industry-specific discretionary accruals in explaining overoptimistic expectations from seasoned equity issues and suggest the importance of firm-specific factors in inducing earnings manipulation surrounding equity issues.
ContributorsIkram, Atif (Author) / Coles, Jeffrey (Thesis advisor) / Hertzel, Michael (Committee member) / Tserlukevich, Yuri (Committee member) / Arizona State University (Publisher)
Created2011
Description
I show that firms' ability to adjust variable capital in response to productivity shocks has important implications for the interpretation of the widely documented investment-cash flow sensitivities. The variable capital adjustment is sufficient for firms to capture small variations in profitability, but when the revision in profitability is relatively large, limited substitutability between the factors of production may call for fixed capital investment. Hence, firms with lower substitutability are more likely to invest in both factors together and have larger sensitivities of fixed capital investment to cash flow. By building a frictionless capital markets model that allows firms to optimize over fixed capital and inventories as substitutable factors, I establish the significance of the substitutability channel in explaining cross-sectional differences in cash flow sensitivities. Moreover, incorporating variable capital into firms' investment decisions helps explain the sharp decrease in cash flow sensitivities over the past decades. Empirical evidence confirms the model's predictions.
ContributorsKim, Kirak (Author) / Bates, Thomas (Thesis advisor) / Babenko, Ilona (Thesis advisor) / Hertzel, Michael (Committee member) / Tserlukevich, Yuri (Committee member) / Arizona State University (Publisher)
Created2013
Description
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 the same higher order asymptotic properties as the EL estimator. The MEL estimators are obtained by the Generalized Method of Moments (GMM) applied to an exactly identified model. The simulation results provide promising evidence for these estimators. In the second chapter, I introduce an alternative group of estimators to the Generalized Empirical Likelihood (GEL) family. The new group is constructed by employing demeaned moment functions in the objective function while using the original moment functions in the constraints. This designation modifies the higher-order properties of estimators. I refer to these new estimators as Demeaned Generalized Empirical Likelihood (DGEL) estimators. Although Newey and Smith (2004) show that the EL estimator in the GEL family has fewer sources of bias and is higher-order efficient after bias-correction, the demeaned exponential tilting (DET) estimator in the DGEL group has those superior properties. In addition, if data are symmetrically distributed, every estimator in the DGEL family shares the same higher-order properties as the best member.
ContributorsXiang, Jin (Author) / Ahn, Seung (Thesis advisor) / Wahal, Sunil (Thesis advisor) / Bharath, Sreedhar (Committee member) / Mehra, Rajnish (Committee member) / Tserlukevich, Yuri (Committee member) / Arizona State University (Publisher)
Created2013
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
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
This dissertation consists of two essays. The first, titled “Sweep Order and the Cost of Market Fragmentation” takes a “revealed-preference” approach towards gauging the effects of market fragmentation by documenting the implicit costs borne by traders looking to avoid executing in a fragmented environment. I show that traders use Intermarket Sweep Orders (ISO) to trade “as-if” markets were single-venued and pay a premium to do so. Using a sample of over 2,600 securities over the period January 2019 to April 2021, this premium amounts to 1.3 bps on average (or 40%of the effective spread), amounting to a total of $3 billion over the sample period. I find a positive, robust, and significant relationship between the premium and different measures of market fragmentation, further supporting the interpretation of the premium as a cost of market fragmentation. The second essay, titled “The Profitability of Liquidity Provision” investigates the relationship between the profits realized from providing liquidity and the amount of time it takes liquidity providers to reverse their positions. By tracking the cumulative inventory position of all passive liquidity providers in the US equity market 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.
ContributorsLohr, Ariel (Author) / Bessembinder, Hendrik (Thesis advisor) / Wahal, Sunil (Committee member) / Aragon, George (Committee member) / Arizona State University (Publisher)
Created2022
Description
This dissertation consists of three essays studying the relationship between corporate finance and monetary policy and macroeconomics. In the first essay, I provide novel estimations of the monetary policy’s working capital channel size by estimating a dynamic stochastic macro-finance model using firm-level data. In aggregate, I find a partial channel —about three-fourths of firms’ labor bill is borrowed. But the strength of this channel varies across industries, reaching as low as one-half for retail firms and as high as one for agriculture and construction. These results provide evidence that monetary policy could have varying effects across industries through the working capital channel. In the second essay, I study the effects of the Unconventional Monetary Policy (UMP) of purchasing corporate bonds on firms’ decisions in the COVID-19 crisis. Specifically, I develop a theoretical model which predicts that the firm’s default probability plays a crucial role in transmitting the effects of COVID-19 shock and the UMP. Using the model to evaluate two kinds of heterogeneities (size and initial credit risk), I show that large firms and high-risk firms are more affected by COVID-19 shock and are more responsive to the UMP. I then run cross-sectional regressions, whose results support the theoretical predictions suggesting that the firm’s characteristics, such as assets and operating income, are relevant to understanding the UMP effects. In the third essay, I document that capital utilization and short-term debt are procyclical. I show that a strong positive relationship exists at the aggregate and firm levels. It persists even when I control the regressions for firm size, profits, growth, and business cycle effects. In addition, the Dynamic Stochastic General Equilibrium (DSGE) model shows that in the presence of capital utilization, positive real and financial shocks cause the firm to change its financing of the equity payout policy from earnings to debt, increasing short-term debt.
ContributorsGalindo Gil, Hamilton (Author) / Pruitt, Seth (Thesis advisor) / Schreindorfer, David (Thesis advisor) / Bessembinder, Hendrik (Committee member) / Mehra, Rajnish (Committee member) / Arizona State University (Publisher)
Created2022
Description
This thesis discusses the options of keeping or relocating the Arizona Coyotes to Quebec City. The Coyotes recently were not able to renew their lease with the city of Glendale for their current arena, Gila River Arena. For the next three years the Coyotes will play in a 5,000 seat capacity arena at Arizona State University. Quebec City has been rumored to want to bring a NHL team back and already has a 18,259 capacity arena. In order to assess the highest valued future location for the team, this thesis provides an analysis of 3 different options: (1) move the team to Quebec City Canada, (2) build a new arena in Tempe, or (3) continue to play at the ASU arena. First, an overview of the Coyotes as well as the original Quebec City NHL team, the Nordiques, is provided. Next, a financial analysis of the 3 options is provided. The final section makes conclusions based on the analysis provided.
ContributorsMaloy, Hunter (Author) / Simonson, Mark (Thesis director) / Tserlukevich, Yuri (Committee member) / Barrett, The Honors College (Contributor) / Department of Finance (Contributor) / Department of Supply Chain Management (Contributor)
Created2022-05
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
Description
This paper examines the link between firm size and innovation. Given that innovation is highly reliant on human capital, the ability to attract, motivate, and retain high quality inventors is a key determinant of firm innovation. Firm size may affect these abilities, and small firms are known to account for a disproportionate share of aggregate innovation. I therefore investigate the role that sorting of inventors across firms plays in explaining this disparity. Talented inventors may find employment at a large firm less attractive due to the relative absence of growth options and a lower ability to link compensation to performance. Using inventor-level patent data, I construct employment histories for inventors at U.S. public firms. I find that the most productive inventors are disproportionately likely to move to small firms, while the least productive inventors disproportionately remain at large firms. These results cannot be explained fully by small firms' superior growth opportunities. In addition, productive innovators' turnover in small firms is sensitive to the level of option compensation. Taken together, this evidence is consistent with inventor sorting explaining part of the firm size innovation gap.
ContributorsChi, Yung-Ling (Author) / Lindsey, Laura A. (Thesis advisor) / Tserlukevich, Yuri (Committee member) / Stein, Luke C.D. (Committee member) / Arizona State University (Publisher)
Created2016