Risk Management in Quant Investing
Project by Polygence alum John
Project's result
Research Paper
They started it from zero. Are you ready to level up with us?
Summary
This paper explores numerous techniques investors use to mitigate risk using a variety of order types, models, and strategies. The paper’s primary emphasis is on traditional models including the Kelly Criterion Model, Modern Portfolio Theory, and the Capital Asset Pricing Model, and I compare their shortcomings to adjusted/extended versions of these models. By evaluating and comparing these shortcomings to adjusted counterparts, we can uncover the differences, effects, and significance of using certain models with risk management. This paper equips readers with a comprehensive understanding of advanced risk management techniques for both new and seasoned investors seeking to protect their portfolios from risk.
Sian
Polygence mentor
MS Master of Science candidate
Subjects
Computer Science, Quantitative
Expertise
Machine Learning, Deep Learning, Algorithms, Data Science, Data Analytics, Quant Finance
John
Student
School
Barrington Highschool
Graduation Year
2025
Project review
“I think working with my mentor went along a lot smoother than I anticipated before talking with them. I also learned a lot about how to research for more information which helped me find for details for my paper.”
About my mentor
“She was able to point me in the right direction without taking too much control. This helped me find the resources i needed to learn at my own pace.”
Check out their profile