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Federal Reserve Interest Rate Management: Combatting Speculation of Market Volatility and Recessionary Sentiment

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Abstract: Handling the multiple functions of monetary policy that protect the U.S. economy not only on a short term, but also long-term scale is a complicated responsibility assigned to Federal Reserve, in which their actions present a profound impact on

Abstract: Handling the multiple functions of monetary policy that protect the U.S. economy not only on a short term, but also long-term scale is a complicated responsibility assigned to Federal Reserve, in which their actions present a profound impact on consumer confidence towards financial markets and global economies. Specifically, one of the most important goals of the Federal Reserve is to mitigate the risk of the United States to enter a recession, while maintaining a balanced approach when making those policy decisions. In this thesis, we focus on the monetary policy of the Federal Reserve, particularly, their role in controlling interest rates to prevent recessionary sentiment in the current state of the economy. Since 2008, markets have been stronger and previous policies like Dodd-Frank have ensured that market collapses during the Great Recession do not repeat itself. Yet, fluctuations in the yield curve, polarizing investment views, and unsettled consumer confidence has pointed to another recession in the near future. In this case, we will look at the way the Fed has implemented short term policies to lower this risk in order to fight volatile markets, however, fluctuating interest rates has its consequences. The goal of this thesis is to analyze the various ways the Fed has managed interest rates in the past and present, and further, to offer a framework to serve as the most effective policy to combat volatility and recessionary sentiment in the U.S. economy.

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2020-05

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Who's in Control?: On the relationship between locus of control and the influence of unethical authority

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The goal of this study was to explore the relationship between locus of control and the influence of an unethical authority figure. This research is a preliminary, exploratory study given research design limits. It was hypothesized that subjects oriented towards

The goal of this study was to explore the relationship between locus of control and the influence of an unethical authority figure. This research is a preliminary, exploratory study given research design limits. It was hypothesized that subjects oriented towards internal locus of control are better able to resist pressure from an unethical authority figure. Subjects oriented towards the powerful others and chance orientations were hypothesized to be less able to resist pressure from an unethical authority figure. The results found that the presence of an unethical authority figure had little to no influence on self-perceived unethical decision-making; the difference in unethical behavior between cases with an authority figure present and without one present was not statistically significant. Further, no support was found for the hypotheses as no statistically significant relationship between locus of control orientations and the difference between the control case and test case was found (R2 = 0.02, model P-value > 0.05). Further analysis confirmed the results of Detert et al. (2008), finding no relationship between survey subjects’ locus of control orientations and unethical decision-making. Additional analysis indicates a relationship between unethical decision-making and gender (B = -5.14, P = 0.03, P < 0.05), providing some interesting avenues for future research.

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2020-05

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Feature Extraction on Sentiment Attitude Values to Better Predict the Stock Market Using Twitter Sentiment

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Behavioral economics suggests that emotions can affect an individual’s decision making. Recent research on this idea’s application on large societies hints that there may exist some correlation or maybe even some causation relationship between public sentiment—at least what can be

Behavioral economics suggests that emotions can affect an individual’s decision making. Recent research on this idea’s application on large societies hints that there may exist some correlation or maybe even some causation relationship between public sentiment—at least what can be pulled from Twitter—and the movement of the stock market. One major result of consistent research on whether or not public sentiment can predict the movement of the stock market is that public sentiment, as a feature, is becoming more and more valid as a variable for stock-market-based machine learning models. While raw values typically serve as invaluable points of data, when training a model, many choose to “engineer” new features for their models—deriving rates of change or range values to improve model accuracy.
Since it doesn’t hurt to attempt to utilize feature extracted values to improve a model (if things don’t work out, one can always use their original features), the question may arise: how could the results of feature extraction on values such as sentiment affect a model’s ability to predict the movement of the stock market? This paper attempts to shine some light on to what the answer could be by deriving TextBlob sentiment values from Twitter data, and using Granger Causality Tests and logistic and linear regression to test if there exist a correlation or causation between the stock market and features extracted from public sentiment.

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2020-05

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Sustainability Disclosures as a Financial Asset and Tool for Brand Management

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Sustainability disclosures have existed and been in use for over 20 years. Over the last century, corporate social responsibility ideals changed drastically from both the perspectives of consumers, investors, and corporations. Shifting from a start as an innovative initiative to

Sustainability disclosures have existed and been in use for over 20 years. Over the last century, corporate social responsibility ideals changed drastically from both the perspectives of consumers, investors, and corporations. Shifting from a start as an innovative initiative to now a crucial instrument in maintaining a public image and keeping up with competitors, sustainability can now be used to an economic benefit. The benefits of sustainability disclosure exist now as major factors of key performance indicators and major impactors of the bottom line.

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2020-05

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Role of Metabolism in Antibiotic Resistance

Description

Each year, more and more multi-drug resistant bacterial strains emerge, thus complicating treatment and increasing the average stay in the intensive care unit. As antibiotics are being rendered inefficient, there is a need to look into ways of weakening the

Each year, more and more multi-drug resistant bacterial strains emerge, thus complicating treatment and increasing the average stay in the intensive care unit. As antibiotics are being rendered inefficient, there is a need to look into ways of weakening the internal state of bacterial cells to make them more susceptible to antibiotics. For this, we first need to understand what methods bacteria employ to fight against antibiotics. In this work, we have reviewed how bacteria respond to antibiotics. There is a similarity in response to antibiotic exposure and starvation (stringent stress) which changes the metabolic state. We have delineated what metabolism changes take place and how they are associated with oxidative stress. For example, there is a common change in NADH concentration that is tied to both metabolism and oxidative stress. Finally, we have compared the findings in literature with our research on an antibiotic-resistant RNA polymerase mutant that alters the gene expression profile in the general areas of metabolism and oxidative stress. Based on this thesis, we have suggested a couple of strategies to make antibiotics more efficient; however, as antibiotic-mediated killing is very complex, researchers need to delve deeper to understand and manipulate the full cellular response.

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2020-05

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Input-Elicitation Methods for Crowdsourced Human Computation

Description

Collecting accurate collective decisions via crowdsourcing
is challenging due to cognitive biases, varying
worker expertise, and varying subjective scales. This
work investigates new ways to determine collective decisions
by prompting users to provide input in multiple
formats. A crowdsourced task

Collecting accurate collective decisions via crowdsourcing
is challenging due to cognitive biases, varying
worker expertise, and varying subjective scales. This
work investigates new ways to determine collective decisions
by prompting users to provide input in multiple
formats. A crowdsourced task is created that aims
to determine ground-truth by collecting information in
two different ways: rankings and numerical estimates.
Results indicate that accurate collective decisions can
be achieved with less people when ordinal and cardinal
information is collected and aggregated together
using consensus-based, multimodal models. We also
show that presenting users with larger problems produces
more valuable ordinal information, and is a more
efficient way to collect an aggregate ranking. As a result,
we suggest input-elicitation to be more widely considered
for future work in crowdsourcing and incorporated
into future platforms to improve accuracy and efficiency.

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2020-05

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Automatic Water Shutoff Web Server Infrastructure and Smart Home Integration

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This thesis covers the continued development of an automatic water shutoff product developed as a capstone project by students in the college of engineering. The continued development covers the process of setting up a publicly accessible web server along

This thesis covers the continued development of an automatic water shutoff product developed as a capstone project by students in the college of engineering. The continued development covers the process of setting up a publicly accessible web server along with required server components and creating an Alexa skill for smart home integration.

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Date Created
2020-12

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Hana: An Open-Domain Chatbot Application for Language Learning

Description

Learning a new language can be very challenging. One significant aspect of learning a language is learning how to have fluent verbal and written conversations with other people in that language. However, it can be difficult to find other people

Learning a new language can be very challenging. One significant aspect of learning a language is learning how to have fluent verbal and written conversations with other people in that language. However, it can be difficult to find other people available with whom to practice conversations. Additionally, total beginners may feel uncomfortable and self-conscious when speaking the language with others. In this paper, I present Hana, a chatbot application powered by deep learning for practicing open-domain verbal and written conversations in a variety of different languages. Hana uses a pre-trained medium-sized instance of Microsoft's DialoGPT in order to generate English responses to user input translated into English. Google Cloud Platform's Translation API is used to handle translation to and from the language selected by the user. The chatbot is presented in the form of a browser-based web application, allowing users to interact with the chatbot in both a verbal or text-based manner. Overall, the chatbot is capable of having interesting open-domain conversations with the user in languages supported by the Google Cloud Translation API, but response generation can be delayed by several seconds, and the conversations and their translations do not necessarily take into account linguistic and cultural nuances associated with a given language.

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2020-12

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The Impact of Time Constraints on HackerRank Assessments

Description

Technical interviews have become the standard for assessing candidates for software development roles. The purpose of this study is to determine whether time constraints impact the performance of individuals on HackerRank coding assessments. During the surveys and HackerRank assessment, subjects

Technical interviews have become the standard for assessing candidates for software development roles. The purpose of this study is to determine whether time constraints impact the performance of individuals on HackerRank coding assessments. During the surveys and HackerRank assessment, subjects wore two physiological sensors: a galvanic skin response bracelet, Shimmer3+GSR that measures emotional intensity and an EEG headset, B-Alert X24 that measures cognitive workload, engagement, and distraction. Subjects were also monitored by external sensors, such as an eye tracker to measure visual attention and by a facial-based emotion recognition system through a webcam to measure their visual attention and emotions. Through these metrics, as well as a Big Five personality demographic survey and mental demand survey, the study examines the difference in performance between strictly timed assessments and timed assessments with time to revise.

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2018-05

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Where to From Here? A Comprehensive Analysis of Past and Future of The Republic of Cuba

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This paper analyzes modern day Cuba and draws conclusions about the most likely future political and economic events that will take place. Because of Cuba's troubled economy, leadership change and the world's continued shift towards democratization, Cuba is in a

This paper analyzes modern day Cuba and draws conclusions about the most likely future political and economic events that will take place. Because of Cuba's troubled economy, leadership change and the world's continued shift towards democratization, Cuba is in a position where drastic changes in its government and economic structure may occur. This paper investigates Cuba's history, politics, economy, and the general quality of life of its citizens, which are used to help predict what may happen to the Cuban government in the near future. The paper also analyzes options for foreign nations' policy towards Cuba and summarizes what actions they may take to increase the likelihood of an economic and political transition. Cuba's economic structure needs drastic reform, the reluctant privatization only increases wealth disparity, trust in the government continues to get weaker as more information and its human rights violations are causes of huge concern. There are four possible outcomes for Cuba's future: stagnation, adopting the mixed economic model, a peaceful transition to a democratic model, and rebellion. There is evidence that Cuba will not make drastic policy changes in favor of liberalization in the immediate future, however, if the economic conditions are not improved and an economic crisis ensues, this paper asserts that another revolution or coup will likely occur. The resulting government may be a new autocratic leader that fills the vacuum of leadership, or a democratic regime depending on the nature of the rebellion. The exact future of Cuba is uncertain, but one thing is clear, change is on the horizon.

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2018-05