Advanced Financial Analysis and Credit Risk Modeling

In this course, you'll gain a strategic introduction to credit analysis and fixed income investing, blending foundational principles with practical tools to assess financial health, creditworthiness, and investment potential. Designed for professionals in investment management, corporate finance, or credit evaluation, the course explores how credit decisions are made, how debt instruments function, and how financial and non-financial data inform risk assessment. Through hands-on exercises and real-world case studies, you’ll apply analytical frameworks to real market scenarios. By the end of the course, you'll approach credit and fixed income analysis with greater precision, confidence, and strategic insight. This course is designed for finance professionals aiming to deepen their expertise in credit risk assessment and fixed income investing. Whether you're a financial analyst, fixed income trader, portfolio manager, or credit risk specialist at a bank or rating agency, the content is tailored to equip you with practical, industry-relevant skills. Investors looking to better understand the bond market will also benefit from its structured approach and real-world applications. To get the most out of this course, participants should have a basic understanding of financial concepts such as time value of money, interest rates, and financial statements. Familiarity with Excel and basic quantitative skills will be helpful for completing hands-on exercises. While no prior experience in credit analysis or fixed income markets is required, those with a background in finance, accounting, or investment will find the course especially rewarding. By the end of this course, participants will be equipped to perform detailed ratio and cash flow analyses to evaluate creditworthiness and debt servicing ability. They will also be able to apply quantitative models to calculate probability of default and expected loss, and utilize both structural and reduced-form credit risk models