My name is Maya Zucker, a soon-to-be graduate of Lehigh University, completing a Bachelor's of Science in Business and Economics with majors in Business Analytics and Finance. Upon graduation, I will be starting as an Operations Analyst at Barclays in their Whippany, NJ office. I am a driven and creative individual who loves to take on a challenge and take every experience as a learning opportunity. In my free time, I enjoy kayaking, watching college basketball, and cooking.
September 2023 – Present
May 2023 – August 2023
B.S. in Business and Economics, Majors: Business Analytics, Finance, Minor: International Relations
Anticipated Graduation: May 2025
BIS 044 - Business Analytics I
BIS 111 - Intro to Information Systems
BUAN 244 - Business Analytics II
BIS 324 - Business Data Management
BUAN 352 - Advanced Topics Business Analytics
BUAN 348 - Predictive Analytics in Business
BUAN 357 - AI for Business
ACCT 330 - Accounting Data and Analytics
FIN 125 - Intro to Finance
FIN 323 - Investments
FIN 328 - Corporate Financial Policy
FIN 324 - Security Analysis & Portfolio
FIN 335 - Advanced Topics: Financial Modeling
FIN 335 - Advanced Topics: ESG Finance
FIN 377 - Advanced Investments: Data Science for Finance
BUS 001 - Foundations of Business
BUS 003 - Business Communication I
BUS 203 - Business Communication II
ECO 001 - Principles Of Economics
MGT 043 - Organizational Behavior
MGT 243 - Leadership in Organizations
MGT 301 - Strategic Management in a Global Environment
ECO 045 - Statistical Methods
ECO 119 - Intermediate Macroeconomic Analysis
MKT 111 - Principles Of Marketing
ACCT 151 - Intro To Financial Accounting
ACCT 152 - Intro To Managerial Accounting
SCM 186 - Supply Chain Operations Management
LAW 201 - Legal Environment Of Business
IR 010 - Introduction To World Politics
IR 074 - U.S. Foreign Policy
IR 100 - Methods and Research Design
IR 245 - International Organization
IR 323 - Political Economy of Industrialization and Development
ENGL 011 - Seminar in Critical Reading & Writing
PHIL 146 - Philosophy of Sex and Gender
PSYC 012 - Introduction to Human Neuroscience
HIST 021 - Greek History
REL 090 - Jewish Heretics-Secret History
MATH 081 - Calculus with Business Applications I
January 2022 - May 2025
President, January 2023 - January 2024
September 2021 - May 2025
Director of Education, May 2022 - May 2024
January 2023 - May 2025
Nest Leader and New Guide Trainer, January 2024 - May 2025
May 2023 - May 2025
Communications Chair, May 2023 - May 2024
January 2024 - January 2025
February 2021 - August 2024
March 2025
Project Purpose
The purpose of this assignment is to better understand how sentiment within a 10-K effects the stock return around the release of the 10-K. In a high-level overview, we accomplished this by measuring the sentiment scores of the 10-Ks against multiple dictionaries to indicate if the 10-K had a more positive or negative sentiment. We then evaluated the correlation between each sentiment dictionary and the return. In the end, I found no significant correlation between my sentiment dictionaries and stock returns on the filing date.
Project Sample
Our sample is the list of stocks listed on the S&P 500 from December 28, 2022. Our total sample size is 503.
Project Results: Return Variables and LM Sentiment vs Return Variables and ML Sentiment
The return variable on the filing date has a negative correlation with LM positive, LM negative, and ML negative dictionaries. The return variable on the filing date has a positive correlation with ML positive. Additionally, LM positive has the greatest magnitude of correlation while LM negative and ML negative share the same correlation.
Project Results: Return Variables and LM Sentiment vs Return Variables and ML Sentiment
The return variable on the filing date has a negative correlation with LM positive, LM negative, and ML negative dictionaries. The return variable on the filing date has a positive correlation with ML positive. Additionally, LM positive has the greatest magnitude of correlation while LM negative and ML negative share the same correlation.
April 2025
Project Overview
This project explores how a CEO's headshot may correlate to a firm's returns. We looked at publicly traded technology firms listed on the S&P 500 and their CEO's from 2010 - 2019. We analyzed pictures of the CEOs from each year for age, sex, race, dominant emotion, and overall emotion between happy, angry, disgust, fear, surprise, and neutral.
Additionally, we reviewed daily firm returns and yearly firm returns of each CEO during their tenure. This gave us a better understanding of how the company performed under the CEO and allowed us to evaluate patterns between firm performance and CEO attributes.
