Recent Applications of Financial Risk Modelling and Portfolio Management, Bryan Christiansen, Mirjana ?imei??ija, Tihana i??krinjari?
Автор: Musiela Marek Название: Martingale Methods in Financial Modelling ISBN: 3540209662 ISBN-13(EAN): 9783540209669 Издательство: Springer Рейтинг: Цена: 78250.00 T Наличие на складе: Есть Описание: In the 2nd edition some sections of Part I are omitted for better readability, and a brand new chapter is devoted to volatility risk. As a consequence, hedging of plain-vanilla options and valuation of exotic options are no longer limited to the Black-Scholes framework with constant volatility. The theme of stochastic volatility also reappears systematically in the second part of the book, which has been revised fundamentally, presenting much more detailed analyses of the various interest-rate models available: the authors' perspective throughout is that the choice of a model should be based on the reality of how a particular sector of the financial market functions, never neglecting to examine liquid primary and derivative assets and identifying the sources of trading risk associated. This long-awaited new edition of an outstandingly successful, well-established book, concentrating on the most pertinent and widely accepted modelling approaches, provides the reader with a text focused on practical rather than theoretical aspects of financial modelling.
A step-by-step approach to the mathematical financial theory and quantitative methods needed to implement and apply state-of-the-art valuation techniques
Written as an accessible and appealing introduction to financial derivatives, "Elementary Financial Derivatives: A Guide to Trading and Valuation with Application"s provides the necessary techniques for teaching and learning complex valuation techniques. Filling the current gap in financial engineering literature, the book emphasizes an easy-to-understand approach to the methods and applications of complex concepts without focusing on the underlying statistical and mathematical theories.
Organized into three comprehensive sections, the book discusses the essential topics of the derivatives market with sections on options, swaps, and financial engineering concepts applied primarily, but not exclusively, to the futures market. Providing a better understanding of how to assess risk exposure, the book also includes: A wide range of real-world applications and examples detailing the theoretical concepts discussed throughout Numerous homework problems, highlighted equations, and Microsoft(R) Office Excel(R) modules for valuation Pedagogical elements such as solved case studies, select answers to problems, and key terms and concepts to aid comprehension of the presented material A companion website that contains an Instructor's Solutions Manual, sample lecture PowerPoint(R) slides, and related Excel files and data sets
"Elementary Financial Derivatives: A Guide to Trading and Valuation with Applications "is an excellent introductory textbook for upper-undergraduate courses in financial derivatives, quantitative finance, mathematical finance, and financial engineering. The book is also a valuable resource for practitioners in quantitative finance, industry professionals who lack technical knowledge of pricing options, and readers preparing for the CFA exam.
Jana Sacks, PhD, is Associate Professor in the Department of Accounting and Finance at St. John Fisher College in Rochester, New York. A member of The American Finance Association, the National Association of Corporate Directors, and the International Atlantic Economic Society, Dr. Sack's research interests include risk management, credit derivatives, pricing, hedging, and structured finance.
Автор: Hitoshi Iba; Claus C. Aranha Название: Practical Applications of Evolutionary Computation to Financial Engineering ISBN: 3662520222 ISBN-13(EAN): 9783662520222 Издательство: Springer Рейтинг: Цена: 113180.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book bridges the gap between computer science academics and traders, presenting state-of-the-art techniques in financial engineering using machine learning and evolutionary computation. Includes information on software for implementing solutions.
Автор: ?ukasz Delong Название: Backward Stochastic Differential Equations with Jumps and Their Actuarial and Financial Applications ISBN: 1447153308 ISBN-13(EAN): 9781447153306 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book will help make backward stochastic differential equations (BSDEs) more accessible to those interested in applying these equations to actuarial and financial problems.
Автор: Valerio Bitetta; Ilaria Bordino; Andrea Ferretti; Название: Mining Data for Financial Applications ISBN: 3030377199 ISBN-13(EAN): 9783030377199 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book constitutes revised selected papers from the 4th Workshop on Mining Data for Financial Applications, MIDAS 2019, held in conjunction with ECML PKDD 2019, in Wurzburg, Germany, in September 2019. The 8 full and 3 short papers presented in this volume were carefully reviewed and selected from 16 submissions.
Автор: Gerver Robert, Sgroi Richard J. Название: Financial Algebra: Advanced Algebra with Financial Applications Tax Code Update: 2019 Tax Update Edition ISBN: 035742350X ISBN-13(EAN): 9780357423509 Издательство: Cengage Learning Рейтинг: Цена: 93970.00 T Наличие на складе: Нет в наличии. Описание: From the outspoken former governor, presidential candidate and chair of the Trump transition, a no-holds-barred account of Christie`s rise to power in a world of bare-knuckle politics, his fifteen-year friendship with Donald Trump and his frank insights and experiences with the president and his inner circle.
Автор: Pfaff Bernhard Название: Financial Risk Modelling and Portfolio Optimization with R ISBN: 1119119669 ISBN-13(EAN): 9781119119661 Издательство: Wiley Рейтинг: Цена: 74920.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Financial Risk Modelling and Portfolio Optimization with R, 2nd Edition Bernhard Pfaff, Invesco Global Asset Allocation, Germany A must have text for risk modelling and portfolio optimization using R.
Автор: Petters Arlie O., Dong Xiaoying Название: An Introduction to Mathematical Finance with Applications: Understanding and Building Financial Intuition ISBN: 1493981374 ISBN-13(EAN): 9781493981373 Издательство: Springer Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Moreover, the text is useful for mathematicians, physicists, and engineers who want to learn finance via an approach that builds their financial intuition and is explicit about model building, as well as business school students who want a treatment of finance that is deeper but not overly theoretical.
Delve into the world of real-world financial applications using deep learning, artificial intelligence, and production-grade data feeds and technology with Python
Key Features
Understand how to obtain financial data via Quandl or internal systems
Automate commercial banking using artificial intelligence and Python programs
Implement various artificial intelligence models to make personal banking easy
Book Description
Remodeling your outlook on banking begins with keeping up to date with the latest and most effective approaches, such as artificial intelligence (AI). Hands-On Artificial Intelligence for Banking is a practical guide that will help you advance in your career in the banking domain. The book will demonstrate AI implementation to make your banking services smoother, more cost-efficient, and accessible to clients, focusing on both the client- and server-side uses of AI.
You'll begin by understanding the importance of artificial intelligence, while also gaining insights into the recent AI revolution in the banking industry. Next, you'll get hands-on machine learning experience, exploring how to use time series analysis and reinforcement learning to automate client procurements and banking and finance decisions. After this, you'll progress to learning about mechanizing capital market decisions, using automated portfolio management systems and predicting the future of investment banking. In addition to this, you'll explore concepts such as building personal wealth advisors and mass customization of client lifetime wealth. Finally, you'll get to grips with some real-world AI considerations in the field of banking.
By the end of this book, you'll be equipped with the skills you need to navigate the finance domain by leveraging the power of AI.
What you will learn
Automate commercial bank pricing with reinforcement learning
Perform technical analysis using convolutional layers in Keras
Use natural language processing (NLP) for predicting market responses and visualizing them using graph databases
Deploy a robot advisor to manage your personal finances via Open Bank API
Sense market needs using sentiment analysis for algorithmic marketing
Explore AI adoption in banking using practical examples
Understand how to obtain financial data from commercial, open, and internal sources
Who this book is for
This is one of the most useful artificial intelligence books for machine learning engineers, data engineers, and data scientists working in the finance industry who are looking to implement AI in their business applications. The book will also help entrepreneurs, venture capitalists, investment bankers, and wealth managers who want to understand the importance of AI in finance and banking and how it can help them solve different problems related to these domains. Prior experience in the financial markets or banking domain, and working knowledge of the Python programming language are a must.
Автор: Michael Bartholomew-Biggs Название: Nonlinear Optimization with Financial Applications ISBN: 1489981195 ISBN-13(EAN): 9781489981196 Издательство: Springer Рейтинг: Цена: 130430.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This instructive book introduces the key ideas behind practical nonlinear optimization, accompanied by computational examples and supporting software. It combines computational finance with an important class of numerical techniques.
Автор: Macdonald, Angus S. (heriot-watt University, Edinburgh) Richards, Stephen J. Currie, Iain D. (heriot-watt University, Edinburgh) Название: Modelling mortality with actuarial applications ISBN: 110704541X ISBN-13(EAN): 9781107045415 Издательство: Cambridge Academ Рейтинг: Цена: 70750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Actuaries modelling mortality have, until now, mostly used methods based on aggregate data. This book explains to practitioners how to build and test models based on the individual person, with plenty of example R code. Students will also find it helpful in preparation for their professional examinations.
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