Fixed Income Analysis & Pricing Techniques

Coursera Courses ↗ · Coursera

Open Course on Coursera

Free to audit · Opens on Coursera

Fixed Income Analysis & Pricing Techniques

Coursera · Intermediate ·📊 Data Analytics & Business Intelligence ·3d ago
Master fixed income pricing strategies to evaluate bonds, manage risk, and make informed investment decisions. Learn how to apply advanced valuation techniques used in real financial markets. This course provides a practical, step-by-step approach to bond pricing and fixed income analysis. You will learn how to analyze bond cash flows, calculate prices using discounted cash flow methods, and interpret yield measures and price–yield relationships. Through advanced modules, you will apply duration and convexity to measure interest rate sensitivity and reinvestment risk. The course also explores complex instruments such as callable, puttable, convertible, and mortgage-backed bonds, along with portfolio duration management strategies. You will further connect fixed income pricing with broader valuation techniques, including enterprise valuation and relative valuation methods like EV/EBITDA. By the end of the course, you will be able to evaluate fixed income securities, apply financial modeling concepts, and support strategic investment decisions in dynamic market environments. Ideal for finance professionals and aspiring analysts, this course builds advanced analytical skills for careers in investment management, treasury, and capital markets.
Watch on Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related AI Lessons

Feed Funeral: I Built a Shadow Profile of My Own Doomscrolling Habits
Learn how to analyze and manage your doomscrolling habits using data science and AI techniques
Medium · AI
Basedash Dashboard Agent
Simplify building and managing internal dashboards with Basedash Dashboard Agent, a tool that connects directly to your database and leverages database introspection
Dev.to AI
A/B Testing for Data Scientists: The Statistical Rigor Your Business Experiments Actually Need
Learn the statistical rigor needed for A/B testing in data science to ensure reliable business experiment results
Medium · Data Science
DuckDB Full-Text Search vs PostgreSQL FTS vs Meilisearch: 100 Million Document Index — Build Time, Query Latency, Memory
Compare DuckDB, PostgreSQL, and Meilisearch for full-text search performance on a 100 million document index, focusing on build time, query latency, and memory usage.
Dev.to · Michael Sun
Up next
Master Bond Valuation, YTM & Risk Analysis
Coursera
Watch →