fund-selection-criteria

Score mutual funds and bonds using weighted cost, performance, AUM, risk, and hedging criteria.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/yjang-git/HoneyPot --skill fund-selection-criteria-yjang-git
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: fund-selection-criteria
Source: https://github.com/yjang-git/HoneyPot/tree/main/plugins/investments-portfolio/skills/fund-selection-criteria
Command: npx skills add https://github.com/yjang-git/HoneyPot --skill fund-selection-criteria-yjang-git

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Provides a systematic, objective framework and scorecard to evaluate and select mutual funds and bond products for DC pension and institutional portfolios, removing bias and ensuring consistent, data-driven choices.

Core Features & Use Cases

  • Fund Selection Scorecard: Weighted evaluation across cost, long-term performance, assets under management, risk-grade fit, and hedging status to produce a single comparable score.
  • Core‑Satellite Allocation Guidance: Clear guidance for allocating core (low-cost index) versus satellite (thematic/active) funds with recommended ranges by investor risk profile.
  • Decision Flows & Filters: Practical rules for index-first selection, active-fund validation checklist, bond vs deposit decision rules, risk-grade filters (exclude 1–3 grade as "safe asset"), and currency hedging criteria.
  • Use Case: Given local fund datasets, produce ranked fund recommendations, SAFE_ASSET_DECISION (예금/채권/혼합) rationale, and a shortlist of core and satellite candidates.

Quick Start

Rank funds from funds/fund_data.json using the scorecard, filter by risk and hedging rules, and recommend core versus satellite allocations with a brief rationale.

Frequently Asked Questions about fund-selection-criteria

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

FAQPage Schema
How do I evaluate mutual funds for a DC pension portfolio?

Evaluate mutual funds for a DC pension portfolio using a standardized scorecard that assesses cost, long-term performance, AUM, risk-grade fit, and hedging status to generate a single comparable score.

What is core-satellite allocation in fund selection?

Core-satellite allocation in fund selection divides investments into core low-cost index funds and satellite thematic or active funds, with recommended allocation ranges based on the investor's specific risk profile.

How do I screen bond funds versus deposits for safe assets?

Screen bond funds versus deposits for safe assets by applying decision rules and risk-grade filters that automatically exclude funds with a risk grade of 1 to 3 from the safe asset category.

Can I filter ETFs based on currency hedging status?

Filter ETFs based on currency hedging status by applying the framework's specific currency hedging criteria, which enforces strict checks during the fund screening and validation process.

What data do I need to rank funds using a selection scorecard?

Ranking funds using a selection scorecard requires local fund datasets, specifically fund_data.json, fund_classification.json, and deposit_rates.json, to complete the weighted evaluation.

Does this fund selection framework validate active fund performance?

The fund selection framework validates active fund performance using a dedicated active-fund validation checklist alongside the index-first selection rules and comprehensive risk filtering.