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💹 Market & Finance Data

Credit Lgd Modelv0.3.3

Name: Credit Lgd Model
Author: tangweigang-jpg

credit-lgd-model

tangweigang-jpg

构建并训练 LGD（违约损失率）机器学习模型，支持基于历史违约数据的信用风险量化评估与预测。

creditdatadoramagic-crystalfinancelatestquantrisk

UnavailableView on ClawHub

Installs (all time)

Installs (current)

Downloads

677

Stars

CreatedApr 22, 2026

UpdatedMay 11, 2026

Install & Quick Start

Install via ClawdBot CLI:

clawdbot install tangweigang-jpg/credit-lgd-model

Skill Package15 files

📋SKILL.mdmarkdown

Failed to load file.

Quality Score

B54/100

Grade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.

Market Validation4/35

· 429 downloads (low demand)
· No tracked installs (may still have real users via manual install)

Documentation19/25

· SKILL.md present
· Detailed documentation (≥3000 chars)
· Contains usage examples or trigger description

Package Completeness6/15

· skillAssets present (14 files)

Security Analysis

💙 Low Risk

UNDOCUMENTED_EXTERNALlow

Calls external URL not in known-safe list

http://127.0.0.1:500

Audited Apr 23, 2026 · audit v1.0

💡

Usage Guide

Generated May 20, 2026

Credit risk analysts at banks and financial institutionsRisk model developers and quantitative analystsFintech companies offering lending productsadvanced

💡 Application Scenarios

Credit Loss Given Default Model TrainingBanking & Finance

Build and train an LGD machine learning model using historical default data to quantify credit risk and predict expected loss rates. This supports financial institutions in assessing potential losses from borrower defaults.

Historical Credit Data Risk AssessmentBanking & Finance

Use historical credit data to evaluate and predict credit risk, enabling lenders to make informed decisions on loan underwriting and portfolio management.

Probability of Default and Loss Rate ModelingFinancial Services

Develop quantitative models that combine probability of default (PD) and loss given default (LGD) to compute expected loss, facilitating regulatory compliance and risk-based pricing.

Portfolio-Level Credit Risk MonitoringAsset Management

Aggregate individual LGD predictions to monitor overall portfolio credit risk, identify concentration risks, and optimize capital allocation.

💼 Business Models

Credit Risk Analytics as a ServiceSubscription fees based on data volume or number of models run.

Offer LGD model training and risk scoring to banks and fintechs as a subscription-based service. Clients upload their historical data and receive model outputs and insights.

Regulatory Capital Optimization ConsultingProject-based consulting fees or annual retainers.

Advise financial institutions on using LGD models to comply with Basel III/IV regulations, optimizing risk-weighted assets and capital requirements.

Custom Model Development for InsurersFixed price per model plus maintenance fees.

Tailor LGD models for insurance companies to assess credit risk in their investment portfolios or credit insurance lines.

💬 Integration Tip

Integrate the LGD model pipeline with existing data warehouses (e.g., Snowflake, BigQuery) to automate periodic retraining and scoring. Ensure data preprocessing steps align with regulatory reporting requirements.