Finance and Financial Management Commons^™

Financial Crises And Government Regulation, Yusef Trad

Honors Thesis

In the midst of turmoil, regulation is “a rule or directive made and maintained by an authority” to maintain order. More often than not, the authoritative figure that imposes and upholds regulatory standards, following its introduction to the specific industry or firm, is the government of the respective country or region. However, politicians, like the rest of us, are unable to predict when a crisis will occur and what appropriate regulation should be imposed to prevent that crisis. Thus, an inevitable concern with regulation is the fact that it is unable to thwart an unforeseeable future crisis but is instead …

Are Etfs Good Or Bad?, Steven D. Dolvin

All Chapters

Like many questions, the right answer is probably, "it depends." Whether ETFs are the best investment vehicle for a particular person likely depends on their goals and needs. However, with trillions of dollars being held by ETFs, their size has necessitated a broader discussion of their merits. This is particularly true in light of recent pricing issues where ETFs traded well below their NAV (such as in August of this year, as well as during the "flash crash" in May 2010). See a good summary article here: WSJ.

Are Junk Bonds Signaling Trouble Ahead?, Steven D. Dolvin

All Chapters

High-yield (or so-called junk) bonds are set to experience their first annual loss since the recent credit crisis. Because of the higher risk involved with these borrowers, they tend to be the first to experience trouble. Thus, many investors believe that they represent a leading indicator for overall market performance. If this is true, it could indicate trouble to come. See article here: WSJ.

Technical Analysis Under Knightian Uncertainty, Andre Mouton

Student Theses and Dissertations

Technical analysis, or the forecasting of asset price movements using past prices, is commonly practiced in financial markets but poorly explained by mainstream economic theory. I show that a technical rule can have predictive power when an asset’s payoffs are subject to Knightian uncertainty, defined as variation that cannot be described probabilistically (Knight, 1921). I present an asset-pricing model in which asset payoffs undergo periodic shifts in trend, and agents form expectations about these payoffs using a constant gain least squares (CGLS) rule. I investigate whether a second CGLS rule, operating on price, can provide a more accurate forecast of …

An Examination Of The Residential Mortgage Systems In The United States And Canada During The Great Recession, Katelyn B. Vittatoe

Undergraduate Honors Theses

In 2007, the United States suffered what is known as the "Subprime Mortgage Crisis". This took an enormous toll on the United States Economy. However, nearby country, Canada did not experience this situation. The objective of this thesis is to determine why such different outcomes were seen in order for future economic stability. This research will examine mortgage processes, mortgage management, foreclosures on mortgages of both countries. It will then paint the economic picture that each country faced in 2007, while providing an explanation as to why the United States fared much worse than Canada during this time.

Mortgage Refinancing In Nigeria: Prospects And Challenges, Kama Ukpai, Phebian N. Bewaji, Adigun Mustapha, Olufemi Adetunji Edun, Olubukola Adegbe, Josiah Dassah

Bullion

The paper examines the mortgage (re)finance market in Nigeria with a view to identifying its prospects and challenges. The method adopted included a review of jurisdictional experiences on mortgage refinance and thereafter draw on some lessons of experience as the Nigeria case is considered as a country in transition. Further discussions centered on the challenges of financialization of mortgages, mortgage affordability, low awareness of mortgage refinancing, macroprudential risks and moral hazard that confronts mortgage refinance in the country. The paper, further, provides considerations with regard to value-reorientation, institutional, regulatory and legal infrastructures as prerequisites for successful mortgage refinance system.

An Examination Of U.S. Restaurant Firms' Internationalization In A Risk Context, Soyeon Jung

UNLV Theses, Dissertations, Professional Papers, and Capstones

The purpose of this dissertation is to advance the theoretical and practical understanding

of the relationship between publicly traded U.S. restaurant firms’ internationalization as a

corporate strategy and risks using a comprehensive set of risk measures: 1) market-based risk (i.e., systematic and unsystematic risk) and 2) accounting-based risk (i.e., standard deviation of return on assets (ROA), return on equity (ROE), and earnings per share (EPS) during the period of 2000-2013. This dissertation further investigates linear, nonlinear, and lagged effects of internationalization on restaurant firms’ risks. In summary, the findings of this dissertation reveal that internationalization tends to mitigate systematic risk, …

The Future Of Community Banks And Their Role In The Changing Economy, Alisha R. Defatta

Honors Theses

This paper is a survey of the current literature concerning community banks, the current challenges faced by community banks, and the role community banks play in the economy. Currently technological and regulatory changes are creating challenges for community banks. To combat these issues many community banks are increasing their merger and acquisition activity to avoid closing. This objective of this paper is to discuss the reasons community banks are so important to our economy and to define the hardships they are currently facing. It is also important to identify the next steps we should take to ensure the stability of …

Open Market Share Repurchase Programs And Corporate Governance: Company Performance, Gary Caton, Jeremy Goh, Yen Teik Lee, Scott C. Linn

Research Collection Lee Kong Chian School Of Business

Payout policies based on share repurchase programs provide greater flexibility than do those based on cash dividends. We develop and test an empirical model in which strongly-governed companies outperform weakly-governed companies after announcing share repurchase programs. Our findings include positive associations between strong governance and both post-announcement adjusted operating performance and abnormal stock returns. The results are robust to sample selection bias, different sample criteria, governance measurement, and various control variables. In addition, governance strength is associated with larger post-announcement changes in CEO incentive compensation and merger and acquisition activity, both of which we argue are consistent with strongly-governed companies …

What’S Wrong With Peg?, Charles J. Higgins

Finance Faculty Works

PEG is a newer investment ratio measure of a security’s PE ratio divided by the firm’s growth rate as a percentage. It is examined and contrasted with other investment valuation measures. PEG is shown to be problematic in terms of its units of measure, in what it purports to appropriately determine, and it is non monotonic for relatively profitable firms and is only slightly indicative of correct security selection for relatively unprofitable firms.

Evaluating The Impacts Of Respondent Errors In Arms: A Case Of Farm Service Agency Loans, Louise Nicole Mcminn

Graduate Theses and Dissertations

Many studies have used the U.S. Department of Agriculture’s (USDA) Agricultural Resource Management Survey (ARMS) to research various aspects involving the agricultural sector in the United States. Since nonresponse and inaccurate reporting may cause significant bias in statistical analysis, research was conducted to determine the magnitude of response error on the farm debt section of the ARMS Phase III. A multinomial logit model identified demographic, structural, and financial characteristics of FSA Farm Loan Program (FLP) borrowers who refused to indicate if they had end of year farm debt, or who accurately or inaccurately classified their farm operations as having end …

Predicting Intraday Financial Market Dynamics Using Takens' Vectors; Incorporating Causality Testing And Machine Learning Techniques, Abubakar-Sadiq Bouda Abdulai

Electronic Theses and Dissertations

Traditional approaches to predicting financial market dynamics tend to be linear and stationary, whereas financial time series data is increasingly nonlinear and non-stationary. Lately, advances in dynamical systems theory have enabled the extraction of complex dynamics from time series data. These developments include theory of time delay embedding and phase space reconstruction of dynamical systems from a scalar time series. In this thesis, a time delay embedding approach for predicting intraday stock or stock index movement is developed. The approach combines methods of nonlinear time series analysis with those of causality testing, theory of dynamical systems and machine learning (artificial …

How Relevant Is The Disclosure Of A Ceo Pay Ratio?, Addison Stanfill

Accounting Undergraduate Honors Theses

An aftershock of the so called “Great Recession” in 2008, the Dodd-Frank Wall Street Reform and Consumer Protection Act effective July 21, 2010 aimed to increase the transparency of public companies. Section 953(b) of this act is targeting the transparency of executive and employee compensation by requiring the disclosure of a CEO to median employee pay ratio. This disclosure requirement, set to affect all filings with a fiscal year beginning after January 1, 2017, was a response to the public outcry against excessive CEO compensation. Although it does promote the transparency initiative of the Dodd-Frank Act, this disclosure may be …

Volume Information In Nikkei And Topix Futures Transactions, Chyng Wen Tee, Christopher Ting

Research Collection Lee Kong Chian School Of Business

According to the Kyle (1985) model of informed trading, information in trade size is likely to effect a permanent price impact, as opposed to bid-ask bounce, which mainly captures transitory price fluctuation. However, two prominent structural models in the literature do not include trade size in their framework. In this paper, we present a nesting relationship of major structural models and formulate a generalized model that includes all relevant trade variables. A new measure to quantify the amount of information in the order flow is proposed. Using this price impact measure, our empirical analysis shows that it is indeed the …

An Economic Regression Model To Predict Market Movements, Timothy A. Smith, Andrew Hawkins

Publications

In finance, multiple linear regression models are frequently used to determine the value of an asset based on its underlying traits. We built a regression model to predict the value of the S&P 500 based on economic indicators of gross domestic product, money supply, produce price and consumer price indices. Correlation between the error in this regression model and the S&P’s volatility index (VIX) provides an efficient way to predict when large changes in the price of the S&P 500 may occur. As the true value of the S&P 500 deviates from the predicted value, obtained by the regression model, …

Pubhub: A Mobile Application Business Plan, Zachary T. Washam

Finance Undergraduate Honors Theses

PubHub is a mobile application designed to address point-of-sale inefficiencies at bars. This business plan details our strategy for product design, marketing, financing, and eventual acquisition. We address key legal and competitive risks and project five years of pro-forma financial statements based on comparable firms.

Industry Interdependencies And Cross-Industry Return Predictability, David E. Rapach, Jack Strauss, Jun Tu, Guofu Zhou

Research Collection Lee Kong Chian School Of Business

We use the adaptive LASSO from the statistical learning literature to identify economically connected industries in a general framework that accommodates complex industry interdependencies. Our results show that lagged returns of interdependent industries are significant predictors of individual industry returns, consistent with gradual information diffusion across industries. Using network analysis, we find that industries with the most extensive predictive power are key central nodes in the production network of the U.S. economy. Further linking cross-return predictability to the real economy, lagged employment growth for the interdependent industries predicts individual industry employment growth. We also compute out-of-sample industry return forecasts based …

Emergence Of Fintech And The Lasic Principles, David K. C. Lee, Ernie G. S. Teo

Research Collection Lee Kong Chian School Of Business

Financial technology (FinTech) has been receiving much attention lately. For instance, global investments in FinTech ventures (covering sectors from remittances, loans to payments) have grown 3 times from US$ 4.05 billion in 2013 to US$ 12.21 billion in 2014 (Accenture, 2015). Although the development of FinTech is still in early stages, they will define and shape the future of the financial industry. Even though there are large amounts of funds entering the market, not all FinTech ventures will be successful; various factors (both internal and external) are crucial. We identify some of these factors which we term the LASIC (Low …

Financing Terrorism: A Look At The Past, Present, And Future Of Defunding Terror Organizations, Mitchell Wasmund

University Honors Program

Terrorism is a major problem facing governments across the globe in the 21st century. Terror organizations, domestic and international, are complex and vary in structure as well as how they are financed. By using various governmental and journalistic resources, this paper will examine four different terror organizations in how they are operated and financed. It will focus on what are the current practices by law enforcement officials to stop the sources of terror organizations’ funds. This paper will also examine future areas of concern related to where terror organizations will receive their financing in the future. The impacts of economic …

Nyse To Stop "Stop Orders", Steven D. Dolvin

All Chapters

On August 24, many stocks fell by large percentages, only to recover shortly thereafter. Investors with standing stop-loss orders likely didn't fair well. And, in fact, many are blaming these orders for the volatility. The NYSE plans to eliminate stop orders, but brokerage firms can still facilitate these for their customers, as long as the final order is sent at market. See article here, Bloomberg.

Lower Minimum Investment, Steven D. Dolvin

All Chapters

Charles Schwab cut the initial minimum investment from $2,500 to $100 for most of the mutual funds on its Mutual Fund OneSource platform, which charges no transaction fees. At the same time, it cut the minimum for subsequent investments from $500 to $1. See article here, Financial Advisor Magazine.

2015 Q3 Market Pulse Report, Craig R. Everett

Pepperdine Market Pulse Report

The quarterly IBBA and M&A Source Market Pulse Survey was created to gain an accurate understanding of the market conditions for businesses being sold in Main Street (values $0-$2MM) and the lower middle market (values $2MM -$50MM). The national survey was conducted with the intent of providing a valuable resource to business owners and their advisors. The IBBA and M&A Source present the Market Pulse Survey with the support of the Pepperdine Private Capital Markets Project and the Graziado School of Business and Management at Pepperdine University.

2015 Q4 Private Capital Access Index Report, Craig R. Everett

Pepperdine Private Capital Access Report

The Pepperdine Private Capital Access Index (PCA) is a quarterly indicator produced by the Graziadio School of Business and Management at Pepperdine University, and with the support of Dun & Bradstreet. The index is designed to measure the demand for, activity, and health of the private capital markets. The purpose of the PCA Index is to gauge the demand of small and mediumsized businesses for financing needs, the level of accessibility of private capital, and the transparency and efficiency of private financing markets.

Behavioral Finance: Its History And Its Future, Robert Christopher Hammond

Selected Honors Theses

The field of behavioral finance has attempted to explain a litany of biases, heuristics, and

inefficiencies present in financial markets since its creation in the 1980’s. This paper is structured as a comprehensive literature review of behavioral finance, and includes both the seminal works as well as more recent papers. The various subtopics of behavioral finance will also be analyzed, which include loss aversion, corporate finance, and momentum/contrarian investing. Finally, this paper will draw unique conclusions across behavioral finance and hypothesize about what topics within behavioral finance are likely to yield the most interesting research in the near future.

New Approach To Density Estimation And Application To Value-At-Risk, Kian Guan Lim, Hao Cheng, Nelson K. L. Yap

Research Collection Lee Kong Chian School Of Business

The key contribution in this paper is to provide a new approach in estimating the physical distribution of the underlying asset return by using a quadratic Radon-Nikodym derivative function. The latter function transforms a fitted Variance Gamma risk-neutral distribution that is obtained from traded option prices. The generality of the VG distribution helps to avoid unnecessary mis-specification bias. The estimated empirical distribution is then used to find the risk measure of VaR. We show that possible underestimation of VaR risk using existing methods is largely not due to VaR itself but perhaps due to mis-specification errors which we minimize in …

A Risk- And Complexity-Rating Framework For Investment Products, Benedict S. K. Koh, Francis Koh, David K. C. Lee, Kian Guan Lim, David Ng, Kok Fai Phoon

Research Collection Lee Kong Chian School Of Business

Many investors who bought such investments as Lehman Brothers’ minibonds did not understand the products’ complicated features. This fact suggests that if the inherent risk and complexity of products’ structure are not clearly understood by investors, they will be unable to make informed decisions. Some practitioners have recently attempted to calibrate product complexity. The authors propose a framework for classifying investment product risk and complexity separately with a list of factors that contribute to these attributes. They demonstrate the framework’s simplicity and usefulness in helping investors make informed decisions, showing that it can be used to calibrate a variety of …

Testing For Multiple Bubbles: Limit Theory Of Real-Time Detectors, Peter C. B. Phillips, Shuping Shi, Jun Yu

Research Collection School Of Economics

This article provides the limit theory of real-time dating algorithms for bubble detection that were suggested in Phillips, Wu, and Yu (PWY; International Economic Review 52 [2011], 201-26) and in a companion paper by the present authors (Phillips, Shi, and Yu, 2015; PSY; International Economic Review 56 [2015a], 1099-1134. Bubbles are modeled using mildly explosive bubble episodes that are embedded within longer periods where the data evolve as a stochastic trend, thereby capturing normal market behavior as well as exuberance and collapse. Both the PWY and PSY estimates rely on recursive right-tailed unit root tests (each with a different recursive …

Testing For Multiple Bubbles: Historical Episodes Of Exuberance And Collapse In The S&P 500, Peter C. B. Phillips, Shuping Shi, Jun Yu

Research Collection School Of Economics

Recent work on econometric detection mechanisms has shown the effectiveness of recursive procedures in identifying and dating financial bubbles in real time. These procedures are useful as warning alerts in surveillance strategies conducted by central banks and fiscal regulators with real-time data. Use of these methods over long historical periods presents a more serious econometric challenge due to the complexity of the nonlinear structure and break mechanisms that are inherent in multiple-bubble phenomena within the same sample period. To meet this challenge, this article develops a new recursive flexible window method that is better suited for practical implementation with long …

On The Edge Of Disruption, David K. C. Lee

Research Collection Lee Kong Chian School Of Business

The financial system is on the verge of massive disruption. Innovative competitors operating on sleek business models and offering new alternative services are entering at the bottom of the market, where gross margins are low and latent demand is high. As these new entrants scale and progress through higher market segments, they will erode incumbent pricing power.

The Bright Side Of Political Uncertainty: The Case Of R&D, Julian Atanassov, Brandon Julio, Tiecheng Leng

Research Collection Lee Kong Chian School Of Business

We examine the relationship between political uncertainty and R&D investment by exploiting the timing of U.S. gubernatorial elections as a source of plausibly exogenous variation in uncertainty. In contrast to the literature documenting negative effects of political uncertainty on real investment, we find that uncertainty over government policy encourages firm-level R&D. Firms increase R&D investments by an average of 4.6% in election years relative to non-election years. The uncertainty effect is stronger in hotly contested elections, in politically sensitive and hard-to-innovate industries, and in firms subject to higher growth options and greater product market competition. Our findings suggest that, as …