Risk Management in Quant Investing
Project by Polygence alum John
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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.
MS Master of Science candidate
Computer Science, Quantitative
Machine Learning, Deep Learning, Algorithms, Data Science, Data Analytics, Quant Finance
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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.
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.