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Interest Rate Models (EPFL)

by Damir Filipovic · EPFL via Coursera

Damir Filipovic's EPFL course builds the arbitrage-free term structure from the ground up: curve bootstrapping, stochastic short-rate and forward-rate models, swaps, caps and swaptions, plus credit risk, with graded quantitative assignments. Assumes stochastic calculus and delivers the machinery — HJM, short-rate models, curve construction.

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QuantLib – Open-Source Quantitative Finance Library

Home of QuantLib, the free open-source C++ library for quantitative finance with Python bindings. It implements yield-curve bootstrapping, interest-rate and equity derivative pricing, Monte Carlo and finite-difference engines, and market calendars, letting practitioners build and test production-grade pricing and risk models.

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FINRA TRACE (Trade Reporting and Compliance Engine)

FINRA's mandatory reporting system for over-the-counter fixed income trades, covering corporate and agency bonds, Treasuries, and mortgage- and asset-backed securities. Its public data shows execution prices, yields and volumes, letting learners see how actively individual bonds and securitized deals trade.

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Bond Ratings, Default Spreads and the Cost of Debt (Damodaran Data)

Aswath Damodaran's freely published mapping from interest-coverage ratios to synthetic credit ratings and the corresponding default spreads, refreshed annually. The standard way to price an unrated issuer's credit risk and back out a cost of debt.

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The Handbook of Fixed Income Securities, 9th Edition

The field's reference bible, roughly 1,900 pages: Treasuries, corporates, municipals, mortgage- and asset-backed securities, term structure, credit analysis, portfolio strategy and derivatives, each chapter written by a specialist practitioner. Fabozzi covers instrument-by-instrument market structure and conventions, including securitised product post-crisis. I Used as a desk reference rather than read cover to cover.

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Fixed Income Securities: Tools for Today's Markets, 4th Edition

The standard practitioner-quant text: arbitrage-free pricing, DV01 and key-rate durations, convexity, post-crisis OIS discounting and multi-curve construction, plus repo, swaps, futures and mortgages, worked through real market data. Requires comfort with calculus. The book that rates desks and quant candidates are actually told to read.

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The U.S. Treasury Yield Curve: 1961 to the Present

The Federal Reserve Board staff paper documenting how its zero-coupon Treasury curve is fitted with the Nelson-Siegel-Svensson method, including instrument selection, estimation pitfalls and forward-rate extraction. Its parameter dataset is refreshed daily and used across academia. Teaches curve construction as it is actually done rather than as a textbook abstraction, and hands the reader a live, daily-updated dataset (federalreserve.gov/data/nominal-yield-curve.htm) to reproduce the work.

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