Through detailed exploration of risk and return, duration and convexity, and credit risk analysis, this book equips readers with a robust framework for managing and optimizing fixed income portfolios. Advanced topics such as interest rate models, fixed income derivatives, and algorithmic trading underscore the integration of quantitative methods and technology in modern financial strategies. With insights into global fixed income markets and machine learning applications, "Fixed Income Quant" serves as both a comprehensive reference and a forward-looking guide, empowering readers to achieve strategic financial goals in an ever-evolving market environment.
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