Aarit Das
Class of 2027United States of America
About
Hello, my name is Aarit Das and my project is on the evolution of the tech sector the past decades. I chose to work on this project because this topic is something I'm curious about, and I believe if we are able to study the past of the tech sector we can see what may conspire in the future. After my project is complete, I would like to present this with many people to get they're opinions, and discuss with likeminded people to improve my study, and further my knowledge on this field.Projects
- "How does investor risk aversion impact the optimal equity allocation in a diversified portfolio, maximizing expected utility, in the context of the Efficient Market Hypothesis?" with mentor Daniel (Working project)
- "To what extent will technology affect unemployment in the next decade?" with mentor Atharv (Oct. 26, 2024)
Aarit's Symposium Presentation
Project Portfolio
How does investor risk aversion impact the optimal equity allocation in a diversified portfolio, maximizing expected utility, in the context of the Efficient Market Hypothesis?
Started June 19, 2025
Abstract or project description
This research will attempt to answer the relationship between individual investor risk preferences and the allocation of equities within a diversified portfolio, focusing on the basis of the Efficient Market Hypothesis (EMH). The EMH discusses that the markets’ prices fully reflect all available information, making it difficult for investors to outperform the market through active stock selection. Instead of trying to outperform the market this study will focus on the best ways to allocate assets, particularly the way to balance stocks with other asset classes such as bonds and cash, in a way that optimizes the expected utility of an investor. Their study will look at how decisions about how to allocate equity in a diversified portfolio are influenced by varying degrees of risk aversion. Instead of trying to time the market or forecast future movements, the model would assume efficient markets, where asset prices reflect systemic growth and historical equity returns are utilized to advise the optimal allocation. This study attempts to question conventional risk-return optimization frameworks that might promote high-risk investments without taking the investor’s risk tolerance into account by giving predicted utility priority.
Project Portfolio
To what extent will technology affect unemployment in the next decade?
Started July 11, 2024
Abstract or project description
The adoption of newer technology has a profound impact not just on the broader economy but also on the unemployment rate. In this study we aim to better understand the effects of future technology on the unemployment rate by leveraging correlation and regression techniques on the unemployment data collected from the Bureau of Labor Statistics Data (BLS). This information is considered reliable since the government collects, updates and consolidates the data from within a large population in the US. Our analysis shows that a major event, technological or non-technological, initially causes the employment rate to go high but gradually as society absorbs the impact of the event, the unemployment rate goes back to previous levels. During this cooling off period, new innovations gradually transition from a groundbreaking invention to critical components of the machinery a society gets dependent on resulting in creation of new kinds of job.