Colorado College Logo

  DigitalCC

Use AND (in capitals) to search multiple keywords.
Example: harmonica AND cobos

2017-2018

94 hits

  • Thumbnail for CULTURAL DIVERSITY AND TEAM PERFORMANCE: ASSESSING MAJOR LEAGUE SOCCER’S RELATIONSHIP WITH IMPORTED TALENT
    CULTURAL DIVERSITY AND TEAM PERFORMANCE: ASSESSING MAJOR LEAGUE SOCCER’S RELATIONSHIP WITH IMPORTED TALENT by Huettel, Timothy

    This paper uses data from Major League Soccer’s regular season between 2012 and 2016 to study the impact of cultural diversity on team performance. I found that there is no proof that more diverse teams outperform less diverse ones or vice versa. However, I did find that more valuable teams, teams that spend a relatively large amount of the league’s total spend on salary, outperform less valuable ones. All else equal, a one percent increase in a team’s value is associated with a 0.94 increase in its end of season goal differential. An Ordinary Least Squares Regression (OLS) reinforces these findings. Because goal difference totals often mirror league standings, teams that spend more money could potentially change their final position in the conference at the end of the season. The results of this study have important implications for debates regarding money’s ability to influence performance not only in more financially equitable soccer leagues, but also in leagues where there is greater financial inequality between teams.

  • Thumbnail for DOES THE INCENTIVE SYSTEM FOR CEOS BOOST COMPANIES’ PERFORMANCE?
    DOES THE INCENTIVE SYSTEM FOR CEOS BOOST COMPANIES’ PERFORMANCE? by Xu, Wei (Peter)

    This paper aims to determine the influence of the U.S. executive compensation systems on the performance of current S&P 500 companies. The incentive system (including risk taking, rewards for good performance, and innovation) is the key factor which enables the CEO to make significantly more compensation than average workers. How much can each section in the incentive system boost companies’ performance? By analyzing CEO’s compensation packages for firms in the S&P 500, I conclude that incentive payments increase companies’ performance, but base payments have the larger influence.

  • Thumbnail for Determinants of the Olympic Host City Selection Process
    Determinants of the Olympic Host City Selection Process by Vanacore, Cole

    This paper investigates the determinants of the host city selection process for both the Summer and Winter Olympics. There are numerous factors that go into the selection process, which is conducted by the International Olympic Committee. Based on previous research, I am hypothesizing that there are countless factors that go into choosing the host city, and that those aspects that signify a country is strong economically will be significantly positive. My main question is to determine if there even are any significant variables when it comes to host city selection, or if it is a more biased and/or random process. The data set includes all countries that were candidates for the Summer and Winter Olympics since 1980. Effects are calculated using a probit regression model, with the binary dependent variable showing if the city was chosen or not chosen as the eventual host. Results show that very few variables are significant indicators of the probability that the city will be chosen, leading me to believe that there is not a set process of evaluation and that it changes from year to year based on external factors.

  • Thumbnail for Do Presidential Speeches Impact the Stock Market?
    Do Presidential Speeches Impact the Stock Market? by Foreman, Mark K.

    The focus of this thesis is whether or not presidential speeches have any impact on the economy. To investigate this question, data was gathered for January 2003 to January 2015 on speeches made by the President and assembled into a dataset. To measure economic outlook, I used data from the Dow Jones Industrial Average. I then examined whether or not the market showed a noticeable change on the day after a big speech. It did not.

  • Thumbnail for Doctor's Orders: Prescription Opioid Distribution and Unemployment
    Doctor's Orders: Prescription Opioid Distribution and Unemployment by Smith, Morgan Elizabeth

    Prescription opioid misuse and abuse has plagued the United States for over the past decade. Almost 116 Americans die each day from overdosing on opioid-related drugs, according to the U.S. Department of Health and Human Services. This thesis explores the impact of prescription opioid misuse on employment. Utilizing Medicaid data on opioid distribution per state as a proxy for the total population, this thesis finds prescription opioid distribution is positively correlated with unemployment rates at a state level. These results provide a more exact measurement of the economic consequences of the opioid epidemic, potentially inspiring the population and policymakers alike to strongly address this health crisis.

  • Thumbnail for Does Rain Impact Annual Pennsylvania Resident Fishing License Sales?
    Does Rain Impact Annual Pennsylvania Resident Fishing License Sales? by Baldrige, Liam

    This paper examines the effects of price, income, creel limit and rain on annual Pennsylvania resident fishing license sales. Data was collected from 1954 to 2016 by the Pennsylvania Fish and Boat Commission, Bureau of Labor Statistics, U.S. Census Bureau, Pennsylvania Department of Revenue and National Oceanic and Atomspheric Administration (NOAA) Regional Climate Center. (License price, trout stamp price, disposable income, creel limit, and rain in the western part of Pennsylvania are significant determinants of annual resident license sales.)

  • Thumbnail for Does a Student’s Socioeconomic Background Influence Their Decision of a College Major?
    Does a Student’s Socioeconomic Background Influence Their Decision of a College Major? by Twells, Robert McKean

    This paper explores the effects that a student’s socioeconomic background has on their decision of a college major. Our data is taken from every first-year class from 2004 to 2014 at Colorado College, a small liberal arts college in Colorado Springs. We use a multinomial probit model to predict the probabilities that students chose majors in one of the main divisions along with economics. Of the 4 large major groups, we can only say that, with statistical significance, students on financial aid are less likely to be natural science majors. We also found that a student’s major category specific first-year GPA and credits play a role in their decision of a major. Gender and academic ability also proved to play a part in the student’s decision.

  • Thumbnail for ECONOMETRIC ANALYSIS: THE EFFECTIVENESS OF ENVIRONMENTAL EDUCATION IN ELEMENTARY SCHOOLS
    ECONOMETRIC ANALYSIS: THE EFFECTIVENESS OF ENVIRONMENTAL EDUCATION IN ELEMENTARY SCHOOLS by Harastova, Marketa

    This research study focuses on analyzing the effectiveness of environment-friendly practices and programs in schools on creating environment-friendly habits and raising environmental awareness of elementary school students. We select two different elementary schools in Colorado Springs and survey students aged between 7 and 11 years old. We use the Seemingly Unrelated Regressions (SUR) model to analyze our data. The results show that the school with stronger environmental program and focus does have a relevant positive impact on the environment conscious answers to questions in the student survey. Interestingly, we also find that students’ age and gender seem to have no significant impact on students’ answers.

  • Thumbnail for ECONOMETRIC ANALYSIS: THE EFFECTIVENESS OF ENVIRONMENTAL EDUCATION IN ELEMENTARY SCHOOLS
    ECONOMETRIC ANALYSIS: THE EFFECTIVENESS OF ENVIRONMENTAL EDUCATION IN ELEMENTARY SCHOOLS by Harastova, Marketa

    This research study focuses on analyzing the effectiveness of environment-friendly practices and programs in schools on creating environment-friendly habits and raising environmental awareness of elementary school students. We select two different elementary schools in Colorado Springs and survey students aged between 7 and 11 years old. We use the Seemingly Unrelated Regressions (SUR) model to analyze our data. The results show that the school with stronger environmental program and focus does have a relevant positive impact on the environment conscious answers to questions in the student survey. Interestingly, we also find that students’ age and gender seem to have no significant impact on students’ answers.

  • Thumbnail for ECONOMETRIC ANALYSIS: THE EFFECTIVENESS OF ENVIRONMENTAL EDUCATION IN ELEMENTARY SCHOOLS
    ECONOMETRIC ANALYSIS: THE EFFECTIVENESS OF ENVIRONMENTAL EDUCATION IN ELEMENTARY SCHOOLS by Harastova, Marketa

    This research study focuses on analyzing the effectiveness of environment-friendly practices and programs in schools on creating environment-friendly habits and raising environmental awareness of elementary school students. We select two different elementary schools in Colorado Springs and survey students aged between 7 and 11 years old. We use the Seemingly Unrelated Regressions (SUR) model to analyze our data. The results show that the school with stronger environmental program and focus does have a relevant positive impact on the environment conscious answers to questions in the student survey. Interestingly, we also find that students’ age and gender seem to have no significant impact on students’ answers.

  • Thumbnail for ECONOMIC COMPLEXITY AND CIVIL LIBERTIES, AND THEIR INFLUENCE ON CORRUPTION
    ECONOMIC COMPLEXITY AND CIVIL LIBERTIES, AND THEIR INFLUENCE ON CORRUPTION by ,

    In the recent years, economists and scholars have come to recognize that corruption is not just an inconvenience, but that it has a significant and negative influence on economic growth and development. This paper examines the causes of corruption using a fixed-effects regression model with a data set from 2009 to 2015, spread across 76 countries. The regression results of this study support previous findings that increased economic growth reduces corruption. It also finds that as a country’s economic complexity increases, its corruption increases as well. Interestingly, the model shows that increases in civil liberties lead to increases in corruption, which prompts future research into what the impact of civil liberties may be in new era dominated by social media, and bias news outlets.

  • Thumbnail for ESTIMATING THE EFFECTS OF MUTUAL FUND RATIOS ON MUTUAL FUND PERFORMANCE: IMPLICATIONS FOR LONG-TERM WEALTH ACCUMULATION
    ESTIMATING THE EFFECTS OF MUTUAL FUND RATIOS ON MUTUAL FUND PERFORMANCE: IMPLICATIONS FOR LONG-TERM WEALTH ACCUMULATION by Young, Ryan

    This study addresses the impact of mutual fund expenses on domestic large cap mutual fund performance, and quantifies this impact for investors. Using Morningstar data for all large ‘blend’ mutual funds from 2016, I implement Ordinary Least Squares Regression Analysis, and find that mutual funds do not on average earn back their fees. Investors looking to maximize investment returns should seek out mutual funds with low expense ratios.

  • Thumbnail for ESTIMATING THE EFFECTS OF MUTUAL FUND RATIOS ON MUTUAL FUND PERFORMANCE: IMPLICATIONS FOR LONG-TERM WEALTH ACCUMULATION
    ESTIMATING THE EFFECTS OF MUTUAL FUND RATIOS ON MUTUAL FUND PERFORMANCE: IMPLICATIONS FOR LONG-TERM WEALTH ACCUMULATION by Young, Ryan

    This study addresses the impact of mutual fund expenses on domestic large cap mutual fund performance, and quantifies this impact for investors. Using Morningstar data for all large ‘blend’ mutual funds from 2016, I implement Ordinary Least Squares Regression Analysis, and find that mutual funds do not on average earn back their fees. Investors looking to maximize investment returns should seek out mutual funds with low expense ratios.

  • Thumbnail for EXPLORATION OF INEFFICIENCIES IN THE NBA DRAFT MARKET
    EXPLORATION OF INEFFICIENCIES IN THE NBA DRAFT MARKET by Smith-Eppsteiner, Aidan Thomas

    Statistics and performance metrics of the NBA afford analysis of draft position value. This paper compares college performance metrics to NBA productivity over a three year period. This paper also compares draft position to NBA productivity over a three year period. It considers how predictive draft position is of professional play, and whether the Collective Bargaining Agreement (CBA) prescribed salaries for the first round draft picks is efficiently distributed. The results did show a correlation between draft pick order and NBA productivity (less productivity as draft number increased), but it was not as strong as the correlation between college performance and NBA productivity. And, the decrease in CBA salary (from draft position 1 to 30) was steeper than the decrease in NBA productivity (from draft position 1 to 30) on average. As found in other sports leagues, namely the NFL, there is a tendency to overvalue the earliest draft picks of the first round. Results suggest that the draft picks in the middle and end of the first round are a better bargain than the early picks. This study suggests that the current CBA pay structure basing rookies’ pay on draft position might be improved and more efficient using other metrics.

  • Thumbnail for EXPLORING BITCOIN AS AN ASSET CLASS
    EXPLORING BITCOIN AS AN ASSET CLASS by Gaspar, Martin

    Bitcoin, a digital currency created in 2009, has garnered significant attention over the last couple years for its outsized returns and its significant volatility. However, since it is such a relatively new and controversial asset, many investors remain tepid to invest in it for they do not know how to approach Bitcoin as an investment. I believe this is because investors are unfamiliar with Bitcoin’s unique characteristics and do not realize the extent that Bitcoin, and its markets, have matured since its inception. Consequently, I hypothesize that Bitcoin holds enough features to be considered a legitimate asset class. In this paper, I explore Bitcoin’s potential as an asset class through several established criteria for something to be considered an asset class. I examine how well Bitcoin’s characteristics fulfill those criteria by comparing it to other established asset classes and analyzing their correlations, volatility, and risk-adjusted returns, among other statistics. I find that Bitcoin fulfills most of the criteria for an asset class, but must further develop in some areas before it is appropriate for every kind of investor to invest in it.

  • Thumbnail for EXPLORING BITCOIN AS AN ASSET CLASS
    EXPLORING BITCOIN AS AN ASSET CLASS by Gaspar, Martin

    Bitcoin, a digital currency created in 2009, has garnered significant attention over the last couple years for its outsized returns and its significant volatility. However, since it is such a relatively new and controversial asset, many investors remain tepid to invest in it for they do not know how to approach Bitcoin as an investment. I believe this is because investors are unfamiliar with Bitcoin’s unique characteristics and do not realize the extent that Bitcoin, and its markets, have matured since its inception. Consequently, I hypothesize that Bitcoin holds enough features to be considered a legitimate asset class. In this paper, I explore Bitcoin’s potential as an asset class through several established criteria for something to be considered an asset class. I examine how well Bitcoin’s characteristics fulfill those criteria by comparing it to other established asset classes and analyzing their correlations, volatility, and risk-adjusted returns, among other statistics. I find that Bitcoin fulfills most of the criteria for an asset class, but must further develop in some areas before it is appropriate for every kind of investor to invest in it.

  • Thumbnail for EXPLORING BITCOIN AS AN ASSET CLASS
    EXPLORING BITCOIN AS AN ASSET CLASS by Gaspar, Martin

    Bitcoin, a digital currency created in 2009, has garnered significant attention over the last couple years for its outsized returns and its significant volatility. However, since it is such a relatively new and controversial asset, many investors remain tepid to invest in it for they do not know how to approach Bitcoin as an investment. I believe this is because investors are unfamiliar with Bitcoin’s unique characteristics and do not realize the extent that Bitcoin, and its markets, have matured since its inception. Consequently, I hypothesize that Bitcoin holds enough features to be considered a legitimate asset class. In this paper, I explore Bitcoin’s potential as an asset class through several established criteria for something to be considered an asset class. I examine how well Bitcoin’s characteristics fulfill those criteria by comparing it to other established asset classes and analyzing their correlations, volatility, and risk-adjusted returns, among other statistics. I find that Bitcoin fulfills most of the criteria for an asset class, but must further develop in some areas before it is appropriate for every kind of investor to invest in it.

  • Thumbnail for Estimating The Effects of Mutual Fund Ratios on Mutual Fund Performance: Implications for Long-Term Wealth Accumulation
    Estimating The Effects of Mutual Fund Ratios on Mutual Fund Performance: Implications for Long-Term Wealth Accumulation by Young, Ryan

    This study addresses the impact of mutual fund expenses on domestic large cap mutual fund performance, and quantifies this impact for investors. Using Morningstar data for all large ‘blend’ mutual funds from 2016, I implement Ordinary Least Squares Regression Analysis, and find that mutual funds do not on average earn back their fees. Investors looking to maximize investment returns should seek out mutual funds with low expense ratios.

  • Thumbnail for Evaluating College Prospects and Their Potential to Succeed in the National Basketball Association: Identifying Significant Quantifiable Measures
    Evaluating College Prospects and Their Potential to Succeed in the National Basketball Association: Identifying Significant Quantifiable Measures by Markin, Samuel

    As more money is committed to players, it is more pivotal than ever for National Basketball Teams (NBA) teams to find ways to accurately and comprehensively find young, cheaper talent in the draft better than their competitors. In this study we use all publicly available information about players that is available. The focus of this paper is to examine factors that contribute to early career success among professional players in the NBA and to better understand these quantifiable measures available on draft day that can aide in predicting players' future performance. In this study we run six separate Ordinary Least Squares (OLS) regressions with different sections of the data. One regression with all the player data, then we separate the others by one and two year players, three and four year players, guards, forwards, and big men. The independent variables used in this study are player position (point guard, shooting guard, small forward, power forward, center), the player's college win shares per year, win shares in their first year, average college win shares per year, quality of conference, NBA combine agility, combine no-step vertical leap, and dummy variables for when they came out of college. The dependent variable in all of the regressions is the average wins per year through five years of each players NBA career.

  • Thumbnail for FINANCIAL VARIABLES AS PREDICTORS OF MACROECONOMIC ACTIVITY
    FINANCIAL VARIABLES AS PREDICTORS OF MACROECONOMIC ACTIVITY by Pope, Alexander John

    This paper examines the in and out-of-sample performance of various forward looking financial variables as predictors of GDP growth. The analysis focuses on forecasting horizons from one to ten quarters ahead. Interest rate spreads and equity returns are evaluated individually and in comparison with previous GDP growth using data from the first quarter of 1982 to the fourth quarter of 2017. Results show that stock prices and a specifically-developed yield spread called the GZ spread emerge as the most relevant variables for making macroeconomic predictions. The findings suggest that such variables should supplement financial forecasting models.

  • Thumbnail for Feasibility of Optimizing Nonprofit Marketing Programs
    Feasibility of Optimizing Nonprofit Marketing Programs by Hamren, Jack

    While the state of marketing and fundraising programs in the nonprofit sector has been a topic of focus for researchers over the last 20 years, little concrete advice is available for organizations hoping to increase the efficiency of their operations. This paper looks to determine whether data-oriented optimization of marketing programs is feasible in the current state of the industry, and what steps must be taken if it is not.

  • Thumbnail for Forecasting Bitcoin Price Volatility with the Hybrid ARMA-GARCH Model
    Forecasting Bitcoin Price Volatility with the Hybrid ARMA-GARCH Model by Ye, John

    This paper uses Bitcoin hacking and Bitcoin miners’ distribution to gain a deeper understanding of the Bitcoin price volatility. This paper uses data directly from the Bitcoin blockchain, as well as data gathered from various Internet sources. A two-step ARMA-GARCH model is chosen to detrend and interpret the Bitcoin price volatility. With three variables, the model can accurately forecast 5 percent of the total volatility. From the result, Bitcoin hack, scam and theft events would make the Bitcoin price more volatile, and more concentrated Bitcoin miners in the network would decrease the Bitcoin price volatility. However, because of the small percent of forecasted values, most of the Bitcoin price volatilities remains a mystery.

  • Thumbnail for Grow Me the Money: Corporate Social Responsibility Initiatives and Alumni Philanthropy in Higher Education
    Grow Me the Money: Corporate Social Responsibility Initiatives and Alumni Philanthropy in Higher Education by Battock, Jacob

    Today, thanks to reduced state and federal funding, alumni donation participation not only plays a pivotal role in the national ranking and prestige of a given college, it is a critical source of income necessary for institutional stability. How, then, can a college like Colorado College (CC) distinguish itself; attracting and identifying more potential alumni donors? Using Advancement Services data from CC on roughly 25,000 alumni between the years 2012 and 2017, this study builds on previous econometric models to investigate and predict patterns of giving as they relate to individual characteristics and various Corporate Social Responsibility (CSR) initiatives. While the majority of individual level findings are consistent with past research, explorations of philanthropic giving tied to CSR and corporate match programs as well as specific institutional projects and funds lead to significant conclusions which warrant continued review to aid in effective donation practices.

  • Thumbnail for HOW TO PICK FIRST ROUND UPSETS IN MARCH MADNESS
    HOW TO PICK FIRST ROUND UPSETS IN MARCH MADNESS by Block, Samuel

    This paper examines first round wins in the NCAA Division I men’s college basketball tournament for teams seeded 12 or lower in each region, with the exception of 16 seeds. This study uses information on 96 matchups over the years 2012-2016 and 2018. A probit regression is used to determine significant variables as well as predict upset chances for each game observed. Difference in adjusted offensive efficiency, adjusted defensive efficiency, pace, average height, offensive free throw rate, defensive effective field goal percentage, and defensive offensive rebounding rate of the teams involved were shown to be statistically significant in an upset result. The point spread of the contest was also found to be significant.

  • Thumbnail for HOW VERMONT’S RENEWABLE PORTFOLIO STANDARD AFFECTS UTILITY RATES
    HOW VERMONT’S RENEWABLE PORTFOLIO STANDARD AFFECTS UTILITY RATES by Germain, Pierre

    This study uses the synthetic control method to investigate the impact of a 2015 amendment to the renewable portfolio in Vermont on utility rates. Renewable portfolio standards mandate utility providers to supply a certain percentage of their electricity through renewable sources. The study finds that the new more stringent renewable portfolio standard holds utility prices high. However, the findings are not compelling due to poorly balanced synthetic and real Vermont.