portfolio-hedging

Design hedging strategies with hedge-ratio estimation and scenario-to-instrument mapping.

Updated Apr 14, 2026
One-click install
npx skills add https://github.com/loanntc/Paave --skill portfolio-hedging-loanntc
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: portfolio-hedging
Source: https://github.com/loanntc/Paave/tree/main/skills/hedging-strategy
Command: npx skills add https://github.com/loanntc/Paave --skill portfolio-hedging-loanntc

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps investors structure systematic hedging plans that reduce specific portfolio risks while making the trade-offs between protection and cost explicit.

Core Features & Use Cases

  • Hedge design across instruments: build linear hedges (beta hedging with futures/ETFs) and nonlinear hedges (protective puts, collars, put spreads, far OTM tail hedges).
  • Hedge-ratio calculation: compute hedge ratios using OLS, minimum-variance, or EWMA methods to support static or dynamic rebalancing styles.
  • Cost evaluation and scenario mapping: estimate annualized hedge costs (margin/basis/fees, option premium and theta, opportunity cost) and translate risk scenarios into execution guidance.

Use case example: You hold a large China A-share index-linked portfolio and want to hedge a likely drawdown using index futures or a put-based options overlay, along with an annualized cost estimate and a coverage plan.

Quick Start

Use the portfolio-hedging skill to generate a hedge plan for your portfolio, including the hedge ratio, contract/option sizing guidance, annualized cost estimate, and a scenario-based payoff comparison.

Frequently Asked Questions about portfolio-hedging

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I design a portfolio hedge with clear cost estimates and ratios?

Portfolio hedging design translates risk exposure into executable instruments and parameters, calculating hedge ratios using OLS, minimum-variance, or EWMA methods while estimating annualized costs for options and futures.

What is the difference between beta hedging with futures and nonlinear options protection?

Beta hedging uses futures or ETFs for linear exposure reduction, while nonlinear protection employs protective puts, collars, put spreads, and far OTM tail hedges for scenarios like moderate drawdowns and tail-risk events.

How do I calculate hedge ratios for dynamic rebalancing?

Hedge ratios are calculated using OLS regression, minimum-variance optimization, or EWMA techniques, supporting both static and dynamic rebalancing styles to align hedge size with portfolio risk exposure.

Can I use index futures to hedge a large equity portfolio drawdown?

Yes, index futures can execute systematic beta hedging for large portfolios, translating moderate drawdown scenarios into linear hedge positions with margin, basis, and fee cost evaluations.

How do I estimate the annualized cost of an options overlay for tail risk protection?

Annualized hedge costs for options overlays are estimated by evaluating option premium, theta decay, margin requirements, and opportunity cost to make protection trade-offs explicit.

When should I use a put spread instead of a protective put for portfolio hedging?

Put spreads offer nonlinear protection at lower premium cost than protective puts by capping the payoff, making them suitable for moderate drawdown scenarios rather than extreme tail-risk events.