Finance and Financial Management Commons^™

Colgate-Palmolive Customer Development Finance Internship: A Collection Of Journals Entries & Testimonials Of Professional Development, Braden Byrum

Finance Undergraduate Honors Theses

This is a collection of journal entries and testimonials to professional development that I received from my internship with Colgate-Palmolive on the Walmart team. Over the span of three months it serves as a reflection on my purpose and inflictions throughout my day to day during my internship. The skills developed during this experience are monumental in professional development but also expand into my personal life. These themes are relevant to the life ahead of me and this collection will serve as an endorsement to that.

Branding, Internationalization And Performance Of Restaurant Chains, Saarthak Bhatia, Joel Smith

Symposium of Student Scholars

Every year, restaurant companies try and find new and innovative ways to grow their business. Many companies look towards creating new brands and expanding internationally as a means of achieving this goal but do multibranding and the scope of internationalization (number of countries) have an influence on the firm performance of restaurant companies? We dive into this by looking at data from over 100 publicly traded companies to see what the results show.

The examination period for this study was 1997 to 2019. Data for 2013-2019 is still being collected. Sample selection started with 118 publicly traded restaurant firms listed …

Retail Investor Attention And The Limit Order Book: Intraday Analysis Of Attention-Based Trading, Artem Meshcheryakov, Drew B. Winters

Faculty Research, Scholarly, and Creative Activity

We are the first to examine how intraday changes in retail investor attention, measured by hourly Google searches, affect trading activity and informativeness of trades. High levels of Google search activity are followed in the next hour by more intensive trading in all stocks. The increased trading activity is initiated by retail investors as evidenced by the reduced size of new orders. After googling a company, retail investors do not become informed in the traditional sense; rather, they act as noise traders, who mistake noise for information, as their orders are picked off by truly informed traders.

Session 5: Equipment Finance Credit Risk Modeling - A Case Study In Creative Model Development & Nimble Data Engineering, Edward Krueger, Landon Thompson, Josh Moore

SDSU Data Science Symposium

This presentation will focus first on providing an overview of Channel and the Risk Analytics team that performed this case study. Given that context, we’ll then dive into our approach for building the modeling development data set, techniques and tools used to develop and implement the model into a production environment, and some of the challenges faced upon launch. Then, the presentation will pivot to the data engineering pipeline. During this portion, we will explore the application process and what happens to the data we collect. This will include how we extract & store the data along with how it …

The Analysis Of The Roles Of Bitcoin, Ethereum, And Gold As Hedge And Safe-Haven Assets On The Indonesian Stock Market Before And During The Covid-19 Pandemic, Carla A. Wijaya, Maria Ulpah

The Indonesian Capital Market Review

The uncertainty due to the COVID-19 outbreak has encouraged investors to look for value hedging instruments to minimize risk, which can be in the form of hedging assets or safe-haven assets. In response to it, this study aims to find out whether Bitcoin, Ethereum, and gold can behave as hedging and safe-haven assets before and amid the pandemic in Indonesia. The strategy is by observing the effects of volatility and return of Bitcoin, Ethereum, and gold on the Indonesian stock market. This study employed both quantile regression and simple linear regression models on data of daily closing price taken before …

Modeling The Impact Of Adding Cryptocurrency In A Portfolio, Ashley Pineault

Honors Theses and Capstones

This study examines the backgrounds of Bitcoin and Ethereum. How they came about, where they differ from one another in functions, and what investors believe will be a better cryptocurrency stock as an investment to include in an optimized portfolio. It will also study the impact of adding two leading cryptocurrencies, Bitcoin and Ethereum, into a hypothetical, optimal investment portfolio. Data collection includes the adjusted closing price of 30 diversified stocks from 2016 to 2021. Those adjusted closing prices are the beginning of determining the optimal portfolio for three separate portfolios. One has the Ethereum cryptocurrencies, the other has Bitcoin …

Netflix Strategic Business Analysis, Kegan L. Morris

Undergraduate Theses, Professional Papers, and Capstone Artifacts

An external analysis done to identify opportunities and threats Netflix faces.

Optimizing Pension Outcomes Using Target Volatility Investment Concept, Zefeng Bai

2022

The target volatility strategy is a very popular investment concept in financial marketplace. For my dissertation, I focus on studying the target volatility investment concept in application to pension accumulation as well as decumulation stages. Additionally, I extend a basic target volatility strategy by introducing trading boundaries to its asset allocation mechanism. My dissertation study follows a three-paper format.

In paper one, we propose a new pension strategy that aims at improving the protection of a long-term pension plan in volatile market conditions. Over a hypothetical twenty-year pension scheme, we show that our newly proposed strategy, which attaches a target …

Co-Jumps, Co-Jump Tests, And Volatility Forecasting: Monte Carlo And Empirical Evidence, Weijia Peng, Chun Yao

WCBT Faculty Publications

This study classifies jumps into idiosyncratic jumps and co-jumps to quantitatively identify systematic risk and idiosyncratic risk by utilizing high-frequency data. We found that systematic risk occurs more frequently and has larger magnitudes than the idiosyncratic risk in an individual asset, which indicates that volatilities from one sector are largely derived from the contagious effect of other sectors. We further investigated the importance of idiosyncratic jumps and co-jumps to predict the sector-level S&P500 exchange-traded fund (ETF) volatility. It was found that the predictive content of co-jumps is higher than that of idiosyncratic jumps, suggesting that systematic risk is more informative …

Establishing A Management Performance Measurement System; Defining And Selecting Kpis, Dimitrios V. Siskos

Publications

Managers and constituents of industries are increasingly concerned about measuring and managing organizational performance. However, launching a new measurement system goes beyond defining new metrics or developing new displays of existing data. However, as Bourne and Neely (2003) point out, there is some evidence that many of these implementations are not successful. This paper initially examines the most difficult elements in establishing and launching a management performance measurement system. The next step after the establishing of a performance measurement system, is to specify the essential elements in defining and selecting KPIs. Unfortunately, different people have very clear and different definitions …

The Volatility Implications Of The Chinese Cryptocurrency Ban, Keaton Manwaring

All Graduate Plan B and other Reports, Spring 1920 to Spring 2023

In this paper, I examine the effect of the May 18^th, 2021 Chinese ban of cryptocurrency transactions on the overall volatility of the cryptocurrency market. To do this, I analyze, in both univariate and multivariate settings, range-based volatility in various event windows surrounding the event. I find clear economic and statistical change in volatility in the five days after the ban. In the ten-day period after the ban, there is a moderate economic change in volatility. In the forty-day period after the ban, there is little economic change in volatility. I conclude that the Chinese ban had a …

Determining The Factors Influencing Cloud Computing Implementation In Library Management System (Lms): A High Order Pls-Ann Approach, Manish Dadhich, Shalendra Singh Rao, Surendra Sethy, Renu Sharma

Library Philosophy and Practice (e-journal)

The principal component of this paper is to ascertain the prominent variables of technological, organizational, environmental, and financial constructs that influence library cloud computing (LCC) among the library users and professionals in the selected universities of India. This paper discusses the advantages, opportunities, challenges, and Models of Smart Library in the ICT age library management system. The study also commissioned tools viz. EFA, CFA, and structural equation assess the degree to which selected factors were associated with LCC adoption. Empirical research proposed four hypotheses by selecting the technological, organizational, environmental, and financial constructs and 16 manifests in the specified model. …

Advances In Global Services And Retail Management: Volume 2, Cihan Cobanoglu, Valentina Della Corte

University of South Florida (USF) M3 Publishing

This is the second volume of the Advances in Global Services and Retail Management Book Series. This volume has the following parts:

• Part 1: Hospitality and Tourism
• Part 2: Marketing, E-marketing, and Consumer Behavior
• Part 3: Management
• Part 4: Human Resources Management
• Part 5: Retail Management
• Part 6: Economics
• Part 7: Accounting and Finance
• Part 8: Sustainability and Environmental Issues
• Part 9: Information Technology

ISBN: 978-1-955833-03-5

Hospitality and Tourism

• Significance of VR in the spa: A spatial analysis
  • Irini Lai Fun Tang, Schultz Zhi Bin Xu, and Eric Chan
• Social media marketing in rural hospitality and tourism destination research
  • Samuel …

Stock Market Forecasting Based On Artificial Intelligence Technology, Yuzhun Liang

Electronic Theses, Projects, and Dissertations

This culminating experience project used artificial intelligence (AI) technology to forecast and analyze the stock market and construct complex nonlinear relationships between the input data and the output data. This project used a radial basis function neural network to forecast and analyze the stock market data. Compared the radial basis function neural network performance with the feed-forward neural network and clearly showed the superiority of the radial basis function neural network over the feed-forward neural network in the data processing. The results showed that AI technology could effectively predict stock market performance. Based on the results, the conclusion is that …

Contingency Planning Amidst A Pandemic, Natalie C. Belford

Journal of Cybersecurity Education, Research and Practice

Proper prior planning prevents pitifully poor performance: The purpose of this research is to address mitigation approaches - disaster recovery, contingency planning, and business continuity planning - and their benefits as they relate to university operations during a worldwide pandemic predicated by the novel coronavirus (COVID-19). The most relevant approach pertaining to the University’s needs and its response to the coronavirus pandemic will be determined and evaluated in detail.

J Mich Dent Assoc July 2021

The Journal of the Michigan Dental Association

Every month, The Journal of the Michigan Dental Association brings news, information, and features about Michigan dentistry to our state's oral health community and the MDA's 6,200+ members. No publication reaches more Michigan dentists!

In this issue, the reader will find the following original content:

• A cover story on “Measuring Outcomes to Improve the Quality of Clinical Care”.
• A feature article, “Is Your Office Winning or Losing the Race? You Won’t Know Without Measurement”.
• The feature article, “The DQA and Quality Measurement in Dental Programs and Plans”.
• News you need, Editorial and regular department articles on MDA Foundation activities, Dentistry …

Stock Market Manipulation Detection Using Continuous Wavelet Transform & Machine Learning Classification, Sarah Youssef

Theses and Dissertations

Stock market manipulation detection is important for both investors and regulators. Being able to detect stock manipulation and preventing it gives investors the confidence in the market fairness and integrity. It also helps maintaining liquidity of the stocks and market efficiency. Implementing data mining algorithms in manipulation detection is a relatively recent technique but in the past few years there has been an increasing interest in it's applications in this domain. The benefit of monitoring manipulative trade behavior is that it can be implemented on live feed of stock data, which saves a lot of time in detecting stock price …

Stock Prediction Using Natural Language Processing Sentiment Analysis On News Headlines During Covid-19, Mina Ibrahim

Theses and Dissertations

Stock prediction based on NLP sentiment analysis is one of the most researched topics due to the revenues they generate for investors. Researchers have used various tools to achieve this, especially fundamental and technical analysis based on historical data helped to achieve this target. Due to the technological advancement and abundance of data, the introduction of machine learning tools accelerated that approach. However, as the public mood affects the stock market, the need for another analysis emerged. Natural language processing sentiment analysis on data from various sources was able to capture public events and moods. NLP is one of the …

Stock Markets Performance During A Pandemic: How Contagious Is Covid-19?, Yara Abushahba

Theses and Dissertations

Background and Motivation: The coronavirus (“COVID-19”) pandemic, the subsequent policies and lockdowns have unarguably led to an unprecedented fluid circumstance worldwide. The panic and fluctuations in the stock markets were unparalleled. It is inarguable that real-time availability of news and social media platforms like Twitter played a vital role in driving the investors’ sentiment during such global shock.

Purpose:The purpose of this thesis is to study how the investor sentiment in relation to COVID-19 pandemic influenced stock markets globally and how stock markets globally are integrated and contagious. We analyze COVID-19 sentiment through the Twitter posts and investigate its …

Bitcoin: The Pioneer Of Cryptocurrency With A Limited Dream, Anna M. Gellerman, Benjamin Zheng

Publications and Research

BitCoin is the most well known and adaptable cryptocurrency today. Due to the evolvement of the cryptocurrency market, many are thinking what this could mean for society; is the world ready for a new mainstream medium of exchange? This poster argues that although BitCoin is functional for small scale payments, it is inadaptable to become a payment tool comparable to cash and card.

Alumnus Leads Data Tech Firm That Helps Hospitals Curb Costs

Business Exchange

A profile of Dan Michelson (MBA ’94), who celebrates his ninth year as CEO of Chicago-based Strata Decision Technology, about his work, his career path, and his passion projects.

What Were The Factors That Led To The Gamestop Short Squeeze?, Riley Burnette

Information Systems Undergraduate Honors Theses

The world of finance is rapidly evolving - for better or for worse. The introduction of social media in sentimental stock market trading, and new brokerage apps, combined with the new resurgence of retail investors, has led to some interesting results. These new factors in the stock market have challenged the status quo of the stock market. A group of retail investors has led this change on a Reddit forum known as /r/WallStreetBets

In early January 2021, a group of retail investors collaborated a short squeeze on GameStop stock, creating an attack against the hedge funds on a popular Reddit …

A Sweet Future For Sugar Makery: A Deeper Dive Into Small Business Consulting, Samuel Lauritsen

Theses/Capstones/Creative Projects

This case study investigates a local candy store in Glenwood and Council Bluffs Iowa. Processes, consistency and concise planning promoted the rapid growth of Sugar Makery into two locations in three short years. Results from the analyses indicate that the main problem facing Sugar Makery is sustaining its differentiated strategy from new industry entrants, key recommendations to sustain its success are presented. Every company has its own strengths, weaknesses, opportunities, and threats. The key is identifying each to be able to capitalize on competitive advantages, mitigate the damage done by weaknesses, take advantage of opportunities and create plans to avoid …

Uri And Its Students: A Contract For The Provision Of A Safe Environment, Danielle Joan Beatrice

Senior Honors Projects

DANIELLE BEATRICE (English; Philosophy; Business) URI and Its Students: A Contract for the Provision of a Safe Environment

Sponsor: Judith Swift (Communication Studies, Coastal Institute)

When students begin to attend college, they expect to be consumed with busy schedules, heavy workloads, and an exciting social life. Students do not anticipate being in dangerous situations. However, this does not mean that such situations do not occur. Therefore, it is essential to teach students to be active participants in educating themselves and their peers regarding prevention and response to emergency situations. My Honors Project aims to increase the awareness of safety-related issues …

A Comprehensive Evaluation Of Accounting: A Series Of Case Studies, Emma Acheson

Honors Theses

The following thesis is a compilation of the evaluation and solutions derived from a variety of case studies provided regarding a variation of accounting topics related to financial accounting. Each case presented in this thesis is accompanied by an analysis describing the valuable knowledge that was extracted from each unique study. Through these case studies, real-world accounting concepts can be observed in accordance with the Generally Accepted Accounting Principles as set by the Financial Accounting Standards Board. In addition to the analyses of these case studies, the completion of this thesis involved participation in two accounting case competitions. These presentations …

Mining Open Government Data For Business Intelligence Using Data Visualization: A Two-Industry Case Study, Anne Gottfried, Caroline Hartmann, Donald Yates

Faculty Publications

The business intelligence (BI) market has grown at a tremendous rate in the past decade due to technological advancements, big data and the availability of open source content. Despite this growth, the use of open government data (OGD) as a source of information is very limited among the private sector due to a lack of knowledge as to its benefits. Scant evidence on the use of OGD by private organizations suggests that it can lead to the creation of innovative ideas as well as assist in making better informed decisions. Given the benefits but lack of use of OGD to …

Price Optimization For Revenue Maximization At Scale, Nikhil Gupta, Massimiliano Moro, Kailey A. Ayala, Bivin Sadler

SMU Data Science Review

This study presents a novel approach to price optimization in order to maximize revenue for the distribution market of non-perishable products. Data analysis techniques such as association mining, statistical modeling, machine learning, and an automated machine learning platform are used to forecast the demand for products considering the impact of pricing. The techniques used allow for accurate modeling of the customer’s buying patterns including cross effects such as cannibalization and the halo effect. This study uses data from 2013 to 2019 for Super Premium Whiskey from a large distributor of alcoholic beverages. The expected demand and the ideal pricing strategy …

Less Commute Miles. Decreased Tire Wear. What Would You Do?, Dylan Schwarz, Brendon M. Ford, Brandon D. Hadinger, Abbie N. Pearce, Jacinta M. Pikunas

Williams Honors College, Honors Research Projects

With the flagrant recognition of the coronavirus as one of those most impactful viruses in the history of the world, it is important to study how the effects of such a disease can create troublesome ripple effects in the world. Covid-19 has caused the death of hundreds of thousands of individuals and has negatively impacted the lives of American’s all across the country during the nationwide lockdown. Decreased work commuters, minimal road travel, and little need for car repairs hit the Goodyear Tire and Rubber Company hard. The University of Akron has teamed up with Goodyear to explore such effects …

Audits For The Minimization Of Eco-Anxiety In The World Economy, Karina Nazarova, Volodymyr Hordopolov, Mariia Nezhyva, Viktoriia Mysiuk, Tetiana Kopotiienko

Journal of Environmental Science and Sustainable Development

The global pandemic of 2019–2020 is changing not only the lives of citizens, but also approaches to business management. The activities of audit companies have not escaped. Problematic and debatable issues need to be addressed to formulate a comprehensive approach to audits in a transformative economic environment and minimize the global economy's eco-anxiety. The purpose of the article is to determine the role of the audit in minimizing the eco-anxiety of the world economy. The study's materials were indicators of the spread of the COVID-19 pandemic in the world, public writings of scientists, official reports of international organizations, regulations, and …

Stock Market Correlations To Economic Indicators, Anthony K. Quandt

Honors Program: Senior Projects (Public)

For this project, I researched how representative the S&P 500 (a common index of choice to represent the market) is of the economic well-being of the US. I found that stock market data can be used an as indicator of the economic well-being of the U.S.. The results do not indicate that the stock market leads to recovery, but it does suggest that it is correlated with recovery. In my analysis, I compared the S&P 500 performance to four different economic indicators: Real Gross Domestic Product (GDP), The Consumer Price Index (CPI), Average Weekly Private Wages, and Unemployment Rate. A …