The increased interest in dynamic pricing models stems from their applicability to practical situations: with the freeing of exchange, interest rates, and capital controls, the market for derivative products has matured and pricing models have become more accurate. This updated edition has six new chapters and chapter-concluding exercises, plus one thoroughly expanded chapter. The text answers the need for a resource targeting professionals, Ph.D. students, and advanced MBA students who are specifically interested in financial derivatives.
This edition is also designed to become the main text in first year masters and Ph.D. programs for certain courses, and will continue to be an important manual for market professionals and professionals with mathematical, technical, or physics backgrounds.
Professor Neftci completed his Ph.D. at the University of Minnesota and was head of the FAME Certificate program in Switzerland. He taught at the Graduate School, City University of New York; ICMA Centre, University of Reading; and at the University of Lausanne. He was also a Visiting Professor in the Finance Department at Hong Kong University of Science and Technology. Known his books and articles, he was a regular columnist for CBN daily, the most influential financial newspaper in China.
This volume explains ways to create financial tools and how the tools work together to achieve specific goals. Applications are illustrated using real-world examples. It presents three new chapters on financial engineering in topics ranging from commodity markets to financial engineering applications in hedge fund strategies, correlation swaps, structural models of default, capital structure arbitrage, contingent convertibles, and how to incorporate counterparty risk into derivatives pricing. Poised midway between intuition, actual events, and financial mathematics, this book can be used to solve problems in risk management, taxation, regulation, and above all, pricing.
This latest edition of Principles of Financial Engineering is ideal for financial engineers, quantitative analysts in banks and investment houses, and other financial industry professionals. It is also highly recommended to graduate students in financial engineering and financial mathematics programs.* The Second Edition presents 5 new chapters on structured product engineering, credit markets and instruments, and principle protection techniques, among other topics
Written by one of the leading experts on the topic, An Introduction to Analysis of Financial Data with R explores basic concepts of visualization of financial data. Through a fundamental balance between theory and applications, the book supplies readers with an accessible approach to financial econometric models and their applications to real-world empirical research.
The author supplies a hands-on introduction to the analysis of financial data using the freely available R software package and case studies to illustrate actual implementations of the discussed methods. The book begins with the basics of financial data, discussing their summary statistics and related visualization methods. Subsequent chapters explore basic time series analysis and simple econometric models for business, finance, and economics as well as related topics including:Linear time series analysis, with coverage of exponential smoothing for forecasting and methods for model comparisonDifferent approaches to calculating asset volatility and various volatility modelsHigh-frequency financial data and simple models for price changes, trading intensity, and realized volatilityQuantitative methods for risk management, including value at risk and conditional value at riskEconometric and statistical methods for risk assessment based on extreme value theory and quantile regression
Throughout the book, the visual nature of the topic is showcased through graphical representations in R, and two detailed case studies demonstrate the relevance of statistics in finance. A related website features additional data sets and R scripts so readers can create their own simulations and test their comprehension of the presented techniques.
An Introduction to Analysis of Financial Data with R is an excellent book for introductory courses on time series and business statistics at the upper-undergraduate and graduate level. The book is also an excellent resource for researchers and practitioners in the fields of business, finance, and economics who would like to enhance their understanding of financial data and today's financial markets.
Problems and Solutions in Mathematical Finance Volume IIis an innovative reference for quantitative practitioners andstudents, providing guidance through a range of mathematicalproblems encountered in the finance industry. This volume focusessolely on equity derivatives problems, beginning with basicproblems in derivatives securities before moving on to moreadvanced applications, including the construction of volatilitysurfaces to price exotic options. By providing a methodology forsolving theoretical and practical problems, whilst explaining thelimitations of financial models, this book helps readers to developthe skills they need to advance their careers. The text covers awide range of derivatives pricing, such as European, American,Asian, Barrier and other exotic options. Extensive appendicesprovide a summary of important formulae from calculus, theory ofprobability, and differential equations, for the convenience ofreaders.
As Volume II of the four-volume Problems and Solutions inMathematical Finance series, this book provides clearexplanation of the mathematics behind equity derivatives, in orderto help readers gain a deeper understanding of their mechanics anda firmer grasp of the calculations.Review the fundamentals of equity derivativesWork through problems from basic securities to advanced exoticspricingExamine numerical methods and detailed derivations ofclosed-form solutionsUtilise formulae for probability, differential equations, andmore
Mathematical finance relies on mathematical models, numericalmethods, computational algorithms and simulations to make trading,hedging, and investment decisions. For the practitioners andgraduate students of quantitative finance, Problems andSolutions in Mathematical Finance Volume II provides essentialguidance principally towards the subject of equity derivatives.