Finance and Financial Management Commons^™

Three Essays On Stock Price Informativeness, Stock Price Momentum, And Firm Investment Efficiency, Chen Chen

Theses and Dissertations in Business Administration

Scholarly studies documented that stock price informativeness plays a critical role in market efficiency. In this dissertation, we participate this stream of literature by investigating the effects of stock price informativeness on the magnitudes of stock price momentum and the outcomes of corporate merger and acquisition decisions.

Essay 1 explores the effect of stock price synchronicity on momentum. The momentum anomaly is widely attributed to investor cognitive biases, but the trigger of cognitive biases is largely unexplored. In this study, inspired by psychology studies linking cognitive biases to the noisiness of information, we examine whether momentum returns are associated with …

Three Essays On Ceo Traits, Corporate Investment Decisions, And Firm Value, Rongyao Zhang

Theses and Dissertations in Business Administration

More and more research has shown that the characteristics of top executives, especially CEOs, affect organizational decisions and behaviors. This dissertation primarily focuses on the role of executives’ managerial ability played in firm investment decisions, such as mergers and acquisitions (M&As) and corporate social responsibility (CSR) investment, and firm value.

Essay 1 examines whether high-ability managers’ earnings smoothing is motivated by the need to mitigate the adverse effects of heightened information asymmetry triggered by M&As on managers’ reputation capital and firm value. I document that acquirers with high-ability managers engage in more pre-acquisition earnings smoothing and experience more significant announcement …

The Relationship Between Enterprise Risk Management And Cost Of Capital, Muhammad Kashif Shad, Fong-Woon Lai, Amjad Shamim, Michael Mcshane, Sheikh Muhammad Zahid

Finance Faculty Publications

This paper investigates the effect of enterprise risk management (ERM) implementation on the cost of capital (cost of debt, cost of equity, and weighted average cost of capital) for the oil and gas industry. The research is conducted using panel data analysis from 2008-2017 for 41 oil and gas companies publicly listed on the Bursa Malaysia. ERM implementation data is collected from company annual reports, while the cost of capital data is obtained from Thomson Reuters DataStream. The results indicate that an increase in the level of ERM implementation reduces the cost of capital, which we argue is one mechanism …

Cybersecurity In Fintech Companies, Efstratios Zouros

Cybersecurity Undergraduate Research Showcase

Have you recently accessed your bank account online? Have you accessed any financial instrument through your computer or your mobile device? If you are reading this, chances are you have. Every time you utilize those services, you ultimately put your trust in the financial institutions that offer them. You trust that they can securely keep your private information, while also keeping your savings safe. Ultimately, there is a certain dependability and trust in financial institutions that have been present on earth before most of us.

Comparisons And Contrasts Of It Systems And Socioeconomic Status In School Districts, Hannah A. Ross

OUR Journal: ODU Undergraduate Research Journal

In a technology thrived society, one would think that anyone can have access to technology – especially in schools. However, it is not always the case due to budgets and other factors. As technology becomes an essential part of the workforce, students need to know certain web applications that companies use. This study will compare four school districts within the Tidewater area of Virginia. The following school districts include Hampton City Schools, Newport News Public Schools, York County School Division, and Williamsburg-James City County Public Schools. Each school will be compared and contrasted by the technology applications that are used …

The Acquisition Of Capabilities: How Firms Use Dynamic And Ordinary Capabilities To Manage Uncertainty, Kris Irwin, Collin Gilstrap, Paul Drnevich, Manoj Sunny

Management Faculty Publications

How organizations utilize capabilities to achieve competitive advantage and improve performance has received an abundance of scholarly attention. Both ordinary and dynamic capabilities (DC) enable organizations to achieve higher performance when leveraged appropriately and under favorable conditions. The complexity of an organization's motives for why and how different capabilities are acquired drives us further to explore what complementarities organizations might achieve and under what contexts. Specifically, we explore how firms engaging in mergers and acquisitions (M&A) to acquire dynamic and/or ordinary capabilities experience different market reactions and levels of short- and long-run value creation given environmental uncertainty. Our results support …

Are Ceos To Blame For Corporate Failure? Evidence From Chapter 11 Filings, Rajib Chowdhury, John A. Doukas

Finance Faculty Publications

This study examines whether chief executive officers (CEOs) are to blame for corporate failures. Using alternative CEO managerial ability measures, we document that high-ability (low-ability) CEOs are less (more) likely to be associated with bankruptcy. We also find that reorganized firms run by high-ability incumbent CEOs experience improved financial performance after filing for Chapter 11. Firms that hire high-ability CEOs with bankruptcy experience also realize improved financial performance. Our evidence indicates that the likelihood of corporate bankruptcy is unrelated to the presence of high-ability managers and that bankruptcy does not adversely affect the post-bankruptcy careers of high-ability CEOs.

The Portfolio Advantages Of Sukuk: Dynamic Correlations Between Bonds And Sukuk, Abdullah Alfalah, Simon Stevenson, Eamonn D'Arcy

Finance Faculty Publications

The growth of the Islamic finance sector has been well-documented. One of the most booming sectors has been Sukuk. According to several past studies, non-Islamic investors' interest in Sukuk is due, at least in part, to the diversification benefits that Sukuk provides in the context of a fixed-income portfolio. This paper compares a pair between Sukuk and Bonds in the Malaysian market issued by the same issuer to have an unbiased comparison. Using unconditional correlation methodology provides an initial examination of the relationship between the matched pairs. In addition, this paper adopts the standard GARCH-DCC approach of Engle (2002). This …

The Way Digitalization Is Impacting International Financial Markets: Stock Price Synchronicity, Chen Chen, M. Mahdi Moeini Gharagozloo, Layla Darougar, Lei Shi

Finance Faculty Publications

This paper investigates whether and how the development level of a country's digital economy affects stock price synchronicity. The results indicate that countries with high levels of digital economy development exhibit low stock price synchronicity. Additionally, by decomposing stock price synchronicity into systematic and firm‐specific stock return variations, we find that systematic (firm‐specific) variations of stock returns decrease (increase) with the level of a country's digitalization. These findings shed light on the future trend of stock price synchronicity in financial markets around the world and support the information‐based interpretation of stock price synchronicity.

Understanding The Effectivity And Increased Reliance Of Credit Risk Machine Learning Models In Banking, Grishma Baruah

Cybersecurity Undergraduate Research Showcase

Credit risk analysis and making accurate investment and lending decisions has been a challenge for the financial industry for many years, as can be seen with the 2008 financial crisis. However, with the rise of machine learning models and predictive analytics, there has been a shift to increased reliance on technology for determining credit risk. This transition to machine learning comes with both advantages, such as potentially eliminating human error and assumptions from lending decisions, and disadvantages, such as time constraints, data usage inabilities, and lack of understanding nuances in machine learning models. In this paper, I look at four …