credit-analysis

To calculate the Altman Z-Score for credit risk assessment, you apply the model framework provided to evaluate issuer financial health. This skill implements the Altman Z-Score alongside the Merton model to generate quantitative credit ratings for corporate bonds.

Analyzing credit spreads for Chinese fixed income products involves assessing spread components and trading strategies using the skill's dedicated framework. It evaluates macro and sector factors influencing credit spreads across government, corporate, and city investment bonds.

Managing interest rate risk using duration and convexity requires calculating these metrics to build portfolio immunization strategies. The skill computes DV01, convexity, and key rate duration to help quantify and hedge interest rate exposure in fixed income portfolios.

Yes, you need financial modeling experience to use this credit analysis framework because it requires familiarity with quantitative finance concepts. The implementation utilizes pandas, numpy, scipy, and statsmodels to perform advanced risk assessment and fixed income research.

Yes, you can analyze city investment bonds and ABS/MBS in the Chinese financial market using the fixed income products analysis feature. The skill delivers in-depth evaluation of government bonds, corporate bonds, convertible bonds, and structured products.

The limitations of using the Merton model for credit rating systems relate to its structural assumptions about asset value volatility and default boundaries. This skill provides the Merton model alongside the Altman Z-Score to offer a comprehensive view of issuer credit risk.