Overview
Monte Carlo Methods in Financial Engineering is a book by Paul Glasserman, first published in 2010. In this catalogue it is classified mainly under Derivatives Pricing and Numerical Methods, with secondary coverage of Quantitative Finance, Risk Management and Stochastic Calculus.
Audience and depth. The rule-based model places its mathematical difficulty at advanced level (8/10); readers are typically expected to know calculus, differential equations, linear algebra, measure theory, numerical analysis, probability theory, statistics and stochastic processes.
Orientation. The metadata points to an implementation-oriented, applied treatment. The archive holds 6 papers whose topics and vocabulary overlap with this book; those links are inferred (see the research connections below).
How to read this page. Topics, difficulty, prerequisites and orientation are model-derived (rule-based, rule_based_v1) from bibliographic metadata such as title, subject headings and edition data. They were not produced by reading the book and are not a review. Relevance confidence is 99% and difficulty confidence is 93%; the catalogue lists no ratings or awards.