Simulation in Computational Finance and Economics: Tools and Emerging Applications, Biliana Alexandrova-Kabadjova, Serafin Martinez-Jaramillo, Alma Lilia Garcia-Almanza, Edward Tsang
Описание: Conveys important corporate finance concepts and applications. This text distills the subject of corporate finance down to its core, while also maintaining a decidedly modern approach.
"Life on earth is filled with many mysteries, but perhaps the most challenging of these is the nature of Intelligence."
- Prof. Terrence J. Sejnowski, Computational Neurobiologist
The main objective of this book is to create awareness about both the promises and the formidable challenges that the era of Data-Driven Decision-Making and Machine Learning are confronted with, and especially about how these new developments may influence the future of the financial industry.
The subject of Financial Machine Learning has attracted a lot of interest recently, specifically because it represents one of the most challenging problem spaces for the applicability of Machine Learning. The author has used a novel approach to introduce the reader to this topic:
The first half of the book is a readable and coherent introduction to two modern topics that are not generally considered together: the data-driven paradigm and Computational Intelligence.
The second half of the book illustrates a set of Case Studies that are contemporarily relevant to quantitative trading practitioners who are dealing with problems such as trade execution optimization, price dynamics forecast, portfolio management, market making, derivatives valuation, risk, and compliance.
The main purpose of this book is pedagogical in nature, and it is specifically aimed at defining an adequate level of engineering and scientific clarity when it comes to the usage of the term "Artificial Intelligence," especially as it relates to the financial industry.
The message conveyed by this book is one of confidence in the possibilities offered by this new era of Data-Intensive Computation. This message is not grounded on the current hype surrounding the latest technologies, but on a deep analysis of their effectiveness and also on the author's two decades of professional experience as a technologist, quant and academic.
Описание: Stochastic Simulation and Applications in Finance with Matlab Programs begins by covering the basics of probability and statistics, which are essential to the understanding the later chapters on random processes and computational simulation techniques, it then goes on to discuss Monte Carlo simulations.
Описание: The long-awaited, comprehensive guide to practical credit risk modeling Credit Risk Analytics provides a targeted training guide for risk managers looking to efficiently build or validate in-house models for credit risk management.
Автор: Seydel, Rudiger U. Название: Tools for computational finance ISBN: 1447173376 ISBN-13(EAN): 9781447173373 Издательство: Springer Рейтинг: Цена: 10480.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Using a `learning by calculating` approach, this comprehensive introductory text shows how stochastic computational methods are used across the field of finance. The revised and expanded fifth edition includes updates, as well as new material and exercises.
Описание: An in-depth explanation of mezzanine finance Mezzanine finance products, which have grown increasingly popular in recent years, involve a unique and complex form of analysis because of their hybrid nature.
Описание: "Extreme Events in Finance: A Handbook of Extreme Value Theory and its Applications features a combination of the theory, methods, and applications of extreme value theory (EVT) in finance as well as a practical understanding of market behavior including both ordinary and extraordinary conditions"--
Описание: Global Best Practice in Private Equity Investing Private Equity in Action takes you on a tour of the private equity investment world through a series of case studies written by INSEAD faculty and taught at the world`s leading business schools.
Автор: Los, Cornelis A. Название: Computational Finance ISBN: 9810244967 ISBN-13(EAN): 9789810244965 Издательство: World Scientific Publishing Рейтинг: Цена: 13464.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This text outlines the epistemic risks associated with the current valuations of different financial instruments and discusses the corresponding risk management strategies. It covers most of the research and practical areas in computational finance.
Автор: Jin-Chuan Duan; Wolfgang Karl H?rdle; James E. Gen Название: Handbook of Computational Finance ISBN: 3662507072 ISBN-13(EAN): 9783662507070 Издательство: Springer Рейтинг: Цена: 40389.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The latest volume in the Springer Handbooks of Computational Statistics series covers the full range of finance, including the modern class of financial tools, computational efficient algorithms, the pricing of complex products, risk behavior and much more.
Описание: The developments within the computationally and numerically oriented ar- eas of Operations Research, Finance, Statistics and Economics have been sig- nificant over the past few decades.
Автор: Apostolos-Paul N. Refenes; Andrew N. Burgess; John Название: Decision Technologies for Computational Finance ISBN: 0792383095 ISBN-13(EAN): 9780792383093 Издательство: Springer Рейтинг: Цена: 14673.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume contains selected papers that were presented at the International Conference "Computational Finance" held at the London Business School. The papers include sections on: Market Dynamics and Risk; trading and arbitrage strategies; and volatility and options.
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