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Portfolio Playbook: Cracking the Risk-Reward Code
Shirong Liu
Shirong Liu
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Portfolio Playbook: Cracking the Risk-Reward Code

This project focuses on risk management models and tools and allows students to quantitatively measure and present the risk associated with financial portfolios.

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Sundays
 at
7:00
P.M.
 ET /
4:00
P.M.
PT
8 weeks, 2-3 hours per week
Intermediate
No experience required
No experience required
Some experience required
Degree and experience required

Description

In this Build Project, you will dive into the dynamic world of financial markets, mastering the art of risk modeling and portfolio optimization. As budding quantitative analysts, you will use real-world data to build predictive models that gauge market risks and devise optimized investment portfolios. By applying statistical methods and computational tools, you'll predict market trends and develop strategies that balance risk against potential returns.  

This project is designed to be a thrilling challenge that will not only deepen your understanding of financial principles but also enhance your analytical process. Upon completion, you'll have gained invaluable mathematical, programming, and analytical skills—key competencies highly sought after in entry-level quantitative analyst roles across the financial sector today. These skills are your stepping stones to a robust career in finance, where the ability to interpret complex datasets and make informed decisions is paramount.

Session timeline

  • Applications open
    December 1, 2024
  • Application deadline
    January 15, 2025
  • Project start date
    Week of July 8, 2024
    Week of
    February 3, 2025
  • Project end date
    Week of

What you will learn

  • Make clear and insightful analyses when presented with a new financial dataset and change direction quickly as required by these analyses;
  • Use existing risk prediction models to inform decision making;
  • Identify the most appropriate tool for modeling a specific problem of decision making under uncertainty and risk;
  • Identify new opportunities, find better explanations, and discover and creatively solve problems using insights developed through data analyses;
  • Communicate clearly and persuasively to a variety of audiences.

Project workshops

1
Introduction
2
Financial Market and Instruments
3
Fundamentals of Financial Risks
4
Data Sourcing and Management
5
Portfolio Theory and Constructions
6
Introduction to Risk Modeling
7
Portfolio Optimization
8
Presentation and Evaluation

Prerequisites

  • Understanding of basic statistics concepts such as mean, variance and standard deviation
  • Programming skills in Python or R
  • Interest in investment, portfolio building and risk management

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About the expert

Shirong Liu is a Finance Build Fellow at Open Avenues Foundation, where she works with students leading projects in Secondary Market Trading and Investing.

Shirong is a trader at Citadel Securities, where she focuses on market making in US Treasuries.

Shirong has over five years of experience in trading. She specializes in interest rate products and has worked with both cash and derivative products, such as Treasury bonds, interest rate swaps and inflation swaps.

She holds a BS in Mathematics and Economics from University of Chicago.

A fun fact about Shirong is that she is a certified scuba diver.

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Shirong
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