This book reviews resource potential, mineral trade and consumption, the role of minerals internally and in world supply, the nature of minerals enterprise, major mineral industries, labor and infrastructure (as it affects industrial development), national attitudes and plans, and the general economic outlook for twenty-six countries. A mineral-supply data tabulation and a basic mineral-location map is provided for most of the countries reviewed. There are also more than a hundred additional mineral or industrial maps and photographs. A general regional view of Asia's people, history, products, economies, resources, basic industries, and development problems is accompanied by charts and tabulations describing each area's relative importance as a mineral producer, consumer, importer, and exporter. Each country-chapter is organized according to the following categories: significance of minerals, mineral supply position, nature of mineral enterprise, principal mineral industries, mine and industry workers, mineral transport, energy and power, and summary outlook.

A guide to stochastic calculus as the basis behind mathematical finance An increasingly popular field of study at universities and an essential skill for investment bank employees, mathematical finance has changed dramatically in recent years, but its roots remain in stochastic calculus. Problems and Solutions in Mathematical Finance: Volume 1 provides a comprehensive explanation of stochastic calculus and probability theory focusing on their relationship with mathematical finance. Quantitative analysts Dr. Eric Chin and Dian Nel and Professor Sverrir Olafsson portray stochastic calculus' role in generating partial differentiation equations for pricing options and constructing probability measures in conjunction with martingale theory. Mathematical and computational finance rely on computational intelligence, numerical methods, and computer simulations to make trading, hedging, and investment decisions, to determine the risk of those decisions, and to define price derivatives. -Includes chapter-by-chapter introduction of the fundamental tenets, essential definitions, and detailed explanations needed to solve financial problems -Offers advice from experts in price testing methodologies, model calibration, energy markets, hedging in incomplete markets, and risk management Problems and Solutions in Mathematical Finance: Volume 1 functions as either an independent information text or a study supplement for students and practitioners eager to recover the basics of mathematical finance.

Detailed guidance on the mathematics behind equity derivatives Problems and Solutions in Mathematical Finance Volume II is an innovative reference for quantitative practitioners and students, providing guidance through a range of mathematical problems encountered in the finance industry. This volume focuses solely on equity derivatives problems, beginning with basic problems in derivatives securities before moving on to more advanced applications, including the construction of volatility surfaces to price exotic options. By providing a methodology for solving theoretical and practical problems, whilst explaining the limitations of financial models, this book helps readers to develop the skills they need to advance their careers. The text covers a wide range of derivatives pricing, such as European, American, Asian, Barrier and other exotic options. Extensive appendices provide a summary of important formulae from calculus, theory of probability, and differential equations, for the convenience of readers. As Volume II of the four-volume Problems and Solutions in Mathematical Finance series, this book provides clear explanation of the mathematics behind equity derivatives, in order to help readers gain a deeper understanding of their mechanics and a firmer grasp of the calculations. * Review the fundamentals of equity derivatives * Work through problems from basic securities to advanced exotics pricing * Examine numerical methods and detailed derivations of closed-form solutions * Utilise formulae for probability, differential equations, and more Mathematical finance relies on mathematical models, numerical methods, computational algorithms and simulations to make trading, hedging, and investment decisions. For the practitioners and graduate students of quantitative finance, Problems and Solutions in Mathematical Finance Volume II provides essential guidance principally towards the subject of equity derivatives.