Книга "Численные методы в финансах" представляет собой сбалансированное изложение методологии и теории численных методов в финансах. Автор Паоло Брандимарте охватывает основы финансов и численного анализа, а также дает необходимый теоретический материал, который соответствует потребностям студентов как специальности финансовой инженерии, так и экономики. Подробно рассматриваются классические методы численного анализа, оптимизация, включая менее известные темы, такие как стохастическое и целочисленное программирование, имитационное моделирование, включая последовательности с низкой дискрепансией, а также уравнения в частных производных. Приводится обширный иллюстративный материал по применению всех этих методологий. Основное внимание в книге уделяется применению MATLAB, но также описываются и другие широкодоступные инструменты, актуальные для финансов. Полезные приложения об основах MATLAB и теории вероятностей дополняют сбалансированное изложение материала. Книга доступна для студентов, но в то же время может служить полезным справочником для практиков, представляя собой экспертное введение в мощные инструменты в области финансов.
Numerical Methods in Finance is an invaluable tutorial for anyone interested in applying numerical techniques in a wide range of financial scenarios. The book’s wide ranging coverage appeals to both students and professionals, demonstrating the links between theoretical principles and the actual use of numerical methods. Paolo Brandimearte, noted financial expert and renowned thinker, covers a broad array of topics including classical numerical analysis, stochastic programming, simulation, and more. He applies them to concrete situations using MATLAB, although the book also devotes time explaining the merits of alternative tools for finance practitioners. Appendices offer foundational knowledge in MATLAB and even some topics in probability theory. Together, these aspects comprise a balanced, surprisingly approachable introduction to the nuances and complexities of parallel usage in financial planning. Whether the goal is learning for graduate credit, refining a skill set, or being up to date on current practices, NUMERICAL METHODS IN FINANCE will not disappoint.
Combines thorough coverage of method techniques and their applications within the finance field. Numerical Methods in Finance draws a bridge between theory and the sometimes formidable realm of computational practice, filling gaps in understanding that now let students and professionals embrace MATLAB in their approaches to finance related questions. Aside from providing the essential VOCAB for financial engineers and economists, Paolo Brandimart demonstrates classical numerical technique: programing, integrating stochastic and discrete simulation along the lines of lower discrepancy sequences and partial derivative systems. Though primarily derivate from the MATLAB platform, Particulars of alternate software option also provided in strained out. Supplemental appendixes provide solid understanding across MATLAB core concepts and basic probability fundamentals, ensuring completeness of Coverage. This resource distills advanced thinking into untangling tools that excel within finance but may otherwise be opaque. Students absorb this accessibly structured course, yet Weapons for professionals working in the field emerge as well.
Электронная Книга «Numerical Methods in Finance» написана автором Группа авторов в году.
Минимальный возраст читателя: 0
Язык: Английский
ISBN: 9780471461692
Описание книги от Группа авторов
Balanced coverage of the methodology and theory of numerical methods in finance Numerical Methods in Finance bridges the gap between financial theory and computational practice while helping students and practitioners exploit MATLAB for financial applications. Paolo Brandimarte covers the basics of finance and numerical analysis and provides background material that suits the needs of students from both financial engineering and economics perspectives. Classical numerical analysis methods; optimization, including less familiar topics such as stochastic and integer programming; simulation, including low discrepancy sequences; and partial differential equations are covered in detail. Extensive illustrative examples of the application of all of these methodologies are also provided. The text is primarily focused on MATLAB-based application, but also includes descriptions of other readily available toolboxes that are relevant to finance. Helpful appendices on the basics of MATLAB and probability theory round out this balanced coverage. Accessible for students-yet still a useful reference for practitioners-Numerical Methods in Finance offers an expert introduction to powerful tools in finance.
