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Understanding Risk Parity and Advanced Portfolio Construction

A rigorous, formula-first path into risk parity and modern portfolio construction for quant researcher aspirants, prop trading applicants, and traders scaling a systematic book. Goes from the failures of mean-variance optimization through equal risk contribution, volatility targeting and leverage, correlation regimes, Hierarchical Risk Parity, factor risk parity, and honest backtesting, ending with a live Python build using Nifty, G-Sec, and gold data. Built entirely on Indian asset classes.

MODULES

4

DURATION

~2.2 hrs

TRACK

Quantitative Finance

Access Level

LEARNER

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Everything included

Full Text Playbooks

Actionable Exercises

Mobile Reading Mode

Lifetime Updates

Curriculum Breakdown

Chapter 1: Why Traditional Portfolio Construction Fails

3 Lessons

Limitations of Mean-Variance Optimization and Markowitz Portfolios10 min read

Risk Budgeting vs Capital Allocation: Two Different Ways to Diversify10 min read

From Naive Diversification to Risk-Based Diversification9 min read

Chapter 2: Risk Parity Fundamentals

3 Lessons

What Is Risk Parity? Equal Risk Contribution Explained11 min read

Case Study: Building a Simple Risk Parity Portfolio With Nifty, G-Secs, and Gold12 min read

Volatility Targeting and Leverage in Risk Parity11 min read

Chapter 3: Advanced Risk Parity Techniques

3 Lessons

Correlation Regimes and Their Impact on Risk Parity11 min read

Hierarchical Risk Parity: A Machine Learning Approach to Allocation12 min read

Factor Risk Parity: Allocating Across Risk Factors, Not Just Assets11 min read

Chapter 4: Practical Implementation and Pitfalls

3 Lessons

Backtesting Risk Parity Strategies: Common Mistakes That Inflate Returns11 min read

Case Study: How Risk Parity Behaved in 2008, 2020, and 202212 min read

Building a Risk Parity Portfolio in Python With NSE and BSE Data13 min read