Advanced
Practice Drills: Building a Risk Parity Allocation From Scratch
A hands-on drill course for quant researcher aspirants, prop trading applicants, and traders scaling a systematic book. You will build a risk parity allocation across Nifty 50, Nifty Midcap 150, 10-year G-Secs, and gold, starting from raw return series and a covariance matrix, working inverse-volatility weights by hand, solving true equal risk contribution in Google Sheets and then in Python, and finally making the portfolio investable with volatility targeting and a rebalancing policy that respects Indian costs and capital gains tax.
Risk ParityEqual Risk ContributionCovariance MatrixVolatility TargetingPython for Quant Finance
MODULES
4
DURATION
~2.5 hrs
TRACK
Quantitative Finance
What You'll Master
How to turn raw NSE index and ETF prices into clean return series and an annualised covariance matrix
How to compute inverse-volatility weights by hand and why they are only an approximation of risk parity
How to calculate each asset's marginal and total risk contribution and check whether a portfolio is truly risk-balanced
How to solve for equal risk contribution weights iteratively in Google Sheets and with SciPy in Python
How to scale a risk parity portfolio to a target volatility and what leverage really means for an Indian investor
How to design a rebalancing rule that accounts for brokerage, STT, and LTCG and STCG tax drag
Access Level
LEARNER
Everything included
Full Text Playbooks
Actionable Exercises
Mobile Reading Mode
Lifetime Updates