I investigate a simple merger arbitrage strategy with a focus on middle-market companies. I estimate [-1, 1] buy-and-hold abnormal returns (BHARs) and long-run BHARs of prospective middle-market acquirers after they announce an acquisition and test whether [-1, 1] BHARs are predictive of subsequent long-run holding period returns (HPRs) and long-run BHARs. The [-1, 1] BHARs are calculated for 57 acquiring companies, and then separated into two equal-weight portfolios: one of positive [-1, 1] BHARs (referred to as the long portfolio) and one of negative [-1, 1] BHARs (referred to as the short portfolio). I then calculate the HPR and long-run BHARs over the following time horizons: [2, 22], [2, 43], [2, 64], [2, 127], and [2, 253]. I perform a Student’s t-test comparing the means of the HPRs of the two portfolios and find that the long and short [2, 22] and [2, 64] HPRs have statistically different mean returns. Similarly, I perform a Student’s t-test comparing the means of the BHARs of the two portfolios and find that the difference in the means are not statistically significant. I also regress the different long-run BHARs on [-1, 1] BHARs, adjusted [-1, 1] BHARs, and normalized [-1, 1] BHARs. Adjusted [-1, 1] BHARs are adjusted for the effects of known predictive factors found in prior literature such as the type of payment. For example, if the type of payment is cash, 2.40 percentage points of the [-1, 1] BHAR is attributed to the cash payment. Normalized [-1, 1] BHARs divide each [-1, 1] BHAR by each security return’s standard deviation over the following trading days: [-22, -2]. I find [-1, 1] BHARs and adjusted [-1, 1] BHARs of middle-market lack statistically significant effects on long-run BHARs over the [2, 22], [2, 43], [2, 127], and [2, 253] horizons. [-1, 1] BHARs and adjusted [-1, 1] BHARs of middle-market firms have statistically significant effects on [2, 64] BHARs. Therefore, a possible merger arbitrage strategy may exist for predicting BHARs for the [2, 64] horizon. The strategy consists of an investor going long on all acquirers that have a positive [-1, 1] BHAR and short on all acquirers that have a negative [-1, 1] BHAR over the following trading days: [2, 64]. After the [-1, 1] BHARs are normalized, however, the normalized [-1, 1] BHARs are no longer statistically significant when predicting any long-run BHAR. On the whole, I find the Efficient Market Hypothesis – which states that the market efficiently prices the information released into the market after an acquisition announcement – is correct, at least with respect to the information contained in [-1, 1] BHARs.

The explosive growth of ‘accelerators’ in the United States has given entrepreneurs and their startups the opportunity to pursue seed-stage financing. While the specific economic role of accelerators remains unclear, a study comparing the selection of portfolio companies between accelerators and venture capitalists was performed. A difference of means was performed on the responses per question between the collected 19 accelerators’ response and the 100 venture capitalists’ response, recorded from a prior study. It is found that venture capitalists place significantly more weight, than accelerators, on the potential of the startup’s product or service to be proprietary, to enter a high-growth market with little threat of competition within the first 3 years, and to deliver a high financial return within 5 to 10 years. The results also indicate that both accelerators and venture capitalists emphasize different attributes of the entrepreneur and venture team when considering selection.

Many studies have been performed on the short- and long-run abnormal returns to acquirers in acquisition attempts, but the topic of bidding wars is relatively unexplored. This piece performs an in-depth analysis of daily returns to both the public winners and losers in bidding war situations. It provides a counterargument to earlier findings that found that winners in bidding wars performed poorly compared to losers. I also fill in the gap in the analysis of short-term returns to paired winners and losers during and surrounding the bidding war. I find that winners perform significantly better than losers during certain critical periods in the bidding war, and this appears to signal the increased likelihood of the winner’s success. However, in the short-term, the market consistently misjudges the direction of the long-run benefits of the acquisition to the winner.

In 1996, Sloan identified the accruals anomaly, in which the negative relationship between the accruals component of current earnings and subsequent stock returns can be exploited to generate excess returns. One would expect the accruals anomaly to dissipate and ultimately disappear as investors take advantage of the now-public information. However, nearly two decades later, it persists as one of the most prominent and contentious anomalies; its magnitude of current and future excess returns still remain controversial. The main reason for its persistence is that extreme accrual firms possess characteristics that are unappealing to most investors. These characteristics, which include insufficient analyst coverage, high idiosyncratic volatility and the presence of institutional constraints, are generally more pronounced in firms with weak internal controls. This paper finds that the accruals anomaly persists at a higher magnitude in firms with weak internal controls. This higher magnitude of excess returns survives the Fama-French five-factor (2015), the Stambaugh-Yuan four-factor (2017) and the Hou, Xue, and Zhang (2015) q-factor models.

In chapter 1, we examine the nature and scale of the relationship between returns on sector Equity Traded Funds (ETFs) and their volatility. We discuss the source and direction of the effect between returns and risk and whether behavioral biases are prominent among sector ETFs. The study has implications for financial sector practitioners and investors, as it provides more information about the risk in sector ETF and whether that risk differs from that of other investment instruments. To this end, we test three hypotheses based on the relevant literature on volatility and returns: the leverage effect hypothesis, feedback hypothesis, and behavioral biases in assets pricing. We employ two measures of volatility in this chapter; specifically, we use the GARCH (1, 1) model and the Range-based autoregressive model. Chapter 2 presents an examination of the factors that affect payout policy in a frontier market. MSCI classifies the Saudi stock exchange as a large frontier market and proposes to be reclassified as an emerging market by next year. The Saudi market is characterized by the high governmental influence and dominance of individual traders on daily transactions. By studying the 12-year panel data, we assess the effect government, board characteristics, social norms and major shareholder on Saudi firms’ decision to distribute dividends. The government presence and investor taste, especially for Islamic-compliant firms, are discussed. This chapter provides valuable information for investors and practitioners by identifying the factors that should be considered when making finance and investment decisions in frontier markets.

Financial services institutions maintain large amounts of data that include both intellectual property and personally identifiable information for employees and customers. Due to the potential damage to individuals, government regulators hold institutions accountable for ensuring that personal data are protected and require reporting of data security breaches. No company wants a data breach, but finding a security incident or breach early in the attack cycle may decrease the damage or data loss a company experiences. In multiple high profile data breaches reported in major news stories over the past few years, there is a pattern of the adversary being inside the company’s network for months, and often law enforcement is the first to inform the company of the breach. The problem that was investigated in this case study was whether new information technology (IT) utilized by Fortune 500 financial services companies led to the changes in data security incidents and breaches. The goal of this dissertation is to gain a deeper understanding on how IT can increase awareness of a security incident or breach, and can also decrease security incidents and breaches. This dissertation also explores how threat information sharing increases awareness and decreases information security incidents and breaches. The objective of the study was to understand how changes in IT can influence an increase or decrease in data security breaches. This investigation was a case study of nine Fortune 500 financial services companies to understand what types of IT increase or decrease detection of security incidents and breaches. An increase in detecting and stopping a security incident or breach may have positive effects on the security of an enterprise. The longer a hacker has access to IT systems, the more entrenched they become and the more time the hacker has to locate data with high value. Time is of the essence to detect a compromise and react. The results of the case study showed that Fortune 500 companies utilized new IT that allowed them to improve their visibility of security incidents and breaches from months and years to hours and days.

This thesis evaluates the risk-return characteristics and diversification benefits of fine wine investment. It compares the historical performance of wine to that of equity, fixed income, real estate, and commodities. I calculate the correlation, volatility, and expected returns of these assets to examine whether adding wine to a portfolio increases its risk-adjusted return. I do this through the Markowitz portfolio optimization technique. The findings suggest that wine has a low correlation with traditional assets, providing diversification benefits. My results also show that adding wine to a portfolio increases its risk-adjusted return only when there is an allocation constraint of 0 to 25% per asset. This does not hold, however, when there are no asset allocation constraints.

The dissertation consists of two essays. The first essay investigates the ability of prior returns, relative to some aggregate market returns, to predict future returns on industry style portfolios. By pooling time series of returns across industries for the period between July 1969 and June 2012, we find that prior returns differential predicts one month ahead returns negatively, even in the presence of a set of popular state variables. The predictability remains significant and negative for up to 5 month ahead returns. The predictability is shown to be robust to alternative specifications, estimation methodology and industry classifications. A possible explanation of this finding is based on time–varying (dynamic) loss aversion among investors. More specifically, when combined with house money effects, prior performance has inverse relationship with degree of loss aversion leading to predictability in the next period returns. The second essay examines the nature of time variation in the risk exposure of country mutual funds to the US market movement and to the benchmark foreign market movement. It uses weekly data on 15 closed end funds and 19 exchange traded funds for the sample period between January, 2001 and December, 2012. Conditional factor models are employed to uncover the time variation in the estimated betas through short horizon regressions. The findings of the paper indicate considerable time variation in risk exposure of country mutual funds to the US market and foreign market risk factors. Additional investigation reveals the following observations. First, the US market betas suffer greater variation over the sample period than the target foreign market betas. Second, the overall fluctuation in betas for the closed end funds is found to be higher than that for the exchange traded funds. Third, emerging market funds experience more oscillation in the risk exposure than their developed market counterparts. It is found that a combination of the US macroeconomic state variables and investors’ sentiment can predict future betas significantly. The findings of the paper have important implication for US investors seeking diversification benefits from country mutual funds.

In chapter 1, I investigate the return links and dynamic conditional correlations between the equity and commodity returns for G7 countries from 2000:01 to 2014:10. The commodity futures include BCOM Index which contains the futures and spot price of 22 commodities, Brent and Crude oil futures, gold and silver futures, Wheat, Corn and Soybean futures and CRB index. The finding indicates that during the full sample period GOLD, WHEAT and CORN have the smallest dynamic conditional correlations with all the Equity indexes. In addition, the correlations between the GOLD/Equity pairs are negative during the financial crisis. This fact indicates the benefit of hedging the stock portfolios with gold futures while we have stress in the financial markets. The results from hedging effectiveness suggest that all the commodity/stock portfolios provide better diversification benefits than the stock portfolios. In average, including CRB, BCOM and GOLD futures to the stock portfolios have the highest hedging effectiveness ratios. Chapter 2 investigates the impact of global and local variables on the Sovereign bond spreads for 22 developed countries in North America, Europe and Pacific Rim Regions, using monthly data from January 2010 to March 2015. There are a few main findings of this chaper. First, the global factors are considerably more important in déterminant the sovereign bond spreads for all the regions. Second, for the bond spread of each region over its local government bond, the countries’ domestic fundamentals are found to be more influential determinants of the spreads, compared to the spread over US government bond as a safe haven government bond. Third, the bond spreads in the Eurozone area is less influenced by the global factors compared to the other regions. Fourth, the sovereign bond spreads of all regions are positively related to the US corporate high yield spreads as a proxy of market sentiment and the log of VIX index as measurement for the investor risk aversion. The coefficient of the log of VIX index shows the strong power of the stock market implied volatility on determining the yield spreads in the fixed income market.

This dissertation comprises two essays; the first of which investigates sovereign credit risk interdependencies, while the second examines the reaction of corporate credit risk to sovereign credit risk events. The first essay titled, Characterizing Sovereign Credit Risk Interdependencies: Evidence from the Credit Default Swap Market, investigates the relationships that exist among disparate sovereign credit default swaps (CDS) and the implications on sovereign creditworthiness. We exploit emerging market sovereign CDS spreads to examine the reaction of sovereign credit risk to changes in country-specific and global financial factors. Utilizing aVAR model fitted with DCC GARCH, we find that comovements of spreads generally exhibit significant time-varying correlations, suggesting that spreads are commonly affected by global financial factors. We construct 19 country-specific commodity price indexes to instrument for country terms of trade, obtaining significant results. Our commodity price indexes account for significant variation in CDS spreads, controlling for global financial factors. In addition, sovereign spreads are found to be related to U.S. stock market returns and the VIX volatility risk premium global factors. Notwithstanding, our results suggest that terms of trade and commodity prices have a statistically and economically significant effect on the sovereign credit risk of emerging economies. Our results apply broadly to investors, financial institutions and policy makers motivated to utilize profitable factors in global portfolios. The second essay is titled, Differential Stock Market Returns and Corporate Credit Risk of Listed Firms. This essay explores the information transfer effect of shocks to sovereign credit risk as captured in the CDS and stock market returns of cross-listed and local stock exchange listed firms. Based on changes in sovereign credit ratings and outlooks, we find that widening CDS spreads of firms imply that negative credit events dominate, whereas tightening spreads indicate positive events. Grouping firms into companies with cross-listings and those without, we compare the spillover effects and find strong evidence of contagion across equity and CDS markets in both company groupings. Our findings suggest that the sensitivity of corporate CDS prices to sovereign credit events is significantly larger for non-cross-listed firms. Possible reasons for this finding could in fact be due to cross-listed firms’ better access to external capital and less degree of asymmetric information, relative to non-cross-listed peers with lower level of investor recognition. Our results provide new evidence relevant to investors and financial institutions in determining sovereign credit risk germane to corporate financial risk, for the construction of debt and equity portfolios, and hedging considerations in today’s dynamic environment.