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Developed from the authors course on Monte Carlo simulation at Brown University, Monte Carlo Simulation with Applications to Finance provides a selfcontained introduction to Monte Carlo methods in financial engineering. It is suitable for advanced undergraduate and graduate students taking a onesemester course or for practitioners in the financial industry.The author first presents the necessary mathematical tools for simulation, arbitrary free option pricing, and the basic implementation of Monte Carlo schemes. He then describes variance reduction techniques, including control variates, stratification, conditioning, importance sampling, and crossentropy. The text concludes with stochastic calculus and the simulation of diffusion processes.Only requiring some familiarity with probability and statistics, the book keeps much of the mathematics at an informal level and avoids technical measuretheoretic jargon to provide a practical understanding of the basics. It includes a large number of examples as well as MATLAB coding exercises that are designed in a progressive manner so that no prior experience with MATLAB is needed.
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer,
birth defects, or other reproductive harm.
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