Problems and Solutions in Mathematical Finance, Volume 4

<b>A practical problem solving reference for commodity and Forex derivatives</b> <p><i>Problems and Solutions in Mathematical Finance</i> provides an innovative reference for quantitative finance students and practitioners. Using a unique problem-solving approach, this invaluable guide bridges the gap between the theoretical and practical to impart a deeper understanding of the mathematical problems encountered in the finance industry. <i>Volume IV: Commodity and Foreign Exchange Derivatives</i> breaks down the complexity of the topic by walking you step-by-step through a variety of modelling problems. Building skill upon skill, you’ll work through a series of problems of increasing difficulty as you learn both the strategy and mechanics behind each solution. Coverage includes both theoretical and real-world problems, using stochastic calculus, probability theory and statistics, as well as an assumed understanding of exotic option and interest rate models covered in volumes II and III. <p>Financial institutions rely on quantitative analysis to inform decision making on trading, hedging, investing, risk management and pricing. This book provides both instruction and reference from a highly practical perspective, giving you a highly applicable real-world skillset. <ul> <li>Fully grasp the fundamentals of commodity and foreign exchange derivatives</li> <li>Follow mathematical modelling processes step-by-step</li> <li>Link theory to real-world problems through guided problem-solving</li> <li>Test your knowledge and skills with increasingly complex problem sets</li> </ul> <p>Commodity and Foreign Exchange Derivatives are a complex, nuanced area in the quantitative finance realm. Simply reading about these instruments fails to convey the level of understanding required to work with them; in the real-world, quants draw upon an in-depth knowledge of both finance and mathematics every day. <i>Problems and Solutions in Mathematical Finance</i> provides practical reference and problem-solving skills for anyone learning or working in quantitative finance.