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Stochastic modelling of big data in finance, Swishchuk, Anatoliy (university Of Calgary, Alberta, Canada)


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Цена: 11482.00р.
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Автор: Swishchuk, Anatoliy (university Of Calgary, Alberta, Canada)
Название:  Stochastic modelling of big data in finance
ISBN: 9781032209265
Издательство: Taylor&Francis
Классификация:






ISBN-10: 1032209267
Обложка/Формат: Hardback
Страницы: 280
Вес: 0.62 кг.
Дата издания: 10.11.2022
Серия: Chapman and hall/crc financial mathematics series
Язык: English
Иллюстрации: 56 tables, black and white; 53 line drawings, color; 106 line drawings, black and white; 53 illustrations, color; 106 illustrations, black and white
Размер: 160 x 243 x 21
Читательская аудитория: General (us: trade)
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Поставляется из: Европейский союз
Описание: This book provides a rigorous overview and exploration of stochastic modelling of big data in finance (BDF). The book describes various stochastic models, including multivariate models, to deal with big data in finance. This includes data in high-frequency and algorithmic trading, specifically in limit order books (LOB).


Linear Algebra and Learning from Data

Автор: Strang Gilbert
Название: Linear Algebra and Learning from Data
ISBN: 0692196382 ISBN-13(EAN): 9780692196380
Издательство: Cambridge Academ
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Цена: 9978.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Linear algebra and the foundations of deep learning, together at last! From Professor Gilbert Strang, acclaimed author of Introduction to Linear Algebra, comes Linear Algebra and Learning from Data, the first textbook that teaches linear algebra together with deep learning and neural nets. This readable yet rigorous textbook contains a complete course in the linear algebra and related mathematics that students need to know to get to grips with learning from data. Included are: the four fundamental subspaces, singular value decompositions, special matrices, large matrix computation techniques, compressed sensing, probability and statistics, optimization, the architecture of neural nets, stochastic gradient descent and backpropagation.

Stochastic Calculus for Finance II

Автор: Shreve, Steven E.
Название: Stochastic Calculus for Finance II
ISBN: 0387401016 ISBN-13(EAN): 9780387401010
Издательство: Springer
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Цена: 8384.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: "A wonderful display of the use of mathematical probability to derive a large set of results from a small set of assumptions.

Stochastic Differential Equations

Автор: Oksendal
Название: Stochastic Differential Equations
ISBN: 3540047581 ISBN-13(EAN): 9783540047582
Издательство: Springer
Рейтинг:
Цена: 8223.00 р.
Наличие на складе: Есть (1 шт.)
Описание: Gives an introduction to the basic theory of stochastic calculus and its applications. This book offers examples in order to motivate and illustrate the theory and show its importance for many applications in for example economics, biology and physics.

Stochastic Calculus for Finance I

Автор: Shreve
Название: Stochastic Calculus for Finance I
ISBN: 0387249680 ISBN-13(EAN): 9780387249681
Издательство: Springer
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Цена: 8384.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Developed for the professional Master`s program in Computational Finance at Carnegie Mellon, the leading financial engineering program in the U.S. Has been tested in the classroom and revised over a period of several yearsExercises conclude every chapter;

The Design Thinking Playbook: Mindful Digital Transformation of Teams, Products, Services, Businesses and Ecosystems

Автор: Michael Lewrick, Patrick Link, Larry Leifer
Название: The Design Thinking Playbook: Mindful Digital Transformation of Teams, Products, Services, Businesses and Ecosystems
ISBN: 1119467470 ISBN-13(EAN): 9781119467472
Издательство: Wiley
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Цена: 4435.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

A radical shift in perspective to transform your organization to become more innovative

The Design Thinking Playbook is an actionable guide to the future of business. By stepping back and questioning the current mindset, the faults of the status quo stand out in stark relief--and this guide gives you the tools and frameworks you need to kick off a digital transformation. Design Thinking is about approaching things differently with a strong user orientation and fast iterations with multidisciplinary teams to solve wicked problems. It is equally applicable to (re-)design products, services, processes, business models, and ecosystems. It inspires radical innovation as a matter of course, and ignites capabilities beyond mere potential. Unmatched as a source of competitive advantage, Design Thinking is the driving force behind those who will lead industries through transformations and evolutions.

This book describes how Design Thinking is applied across a variety of industries, enriched with other proven approaches as well as the necessary tools, and the knowledge to use them effectively. Packed with solutions for common challenges including digital transformation, this practical, highly visual discussion shows you how Design Thinking fits into agile methods within management, innovation, and startups.

  • Explore the digitized future using new design criteria to create real value for the user
  • Foster radical innovation through an inspiring framework for action
  • Gather the right people to build highly-motivated teams
  • Apply Design Thinking, Systems Thinking, Big Data Analytics, and Lean Start-up using new tools and a fresh new perspective
  • Create Minimum Viable Ecosystems (MVEs) for digital processes and services which becomes for example essential in building Blockchain applications

Practical frameworks, real-world solutions, and radical innovation wrapped in a whole new outlook give you the power to mindfully lead to new heights. From systems and operations to people, projects, culture, digitalization, and beyond, this invaluable mind shift paves the way for organizations--and individuals--to do great things. When you're ready to give your organization a big step forward, The Design Thinking Playbook is your practical guide to a more innovative future.

Numerical Solution of Stochastic Differential Equations with Jumps in Finance

Автор: Platen
Название: Numerical Solution of Stochastic Differential Equations with Jumps in Finance
ISBN: 3642120571 ISBN-13(EAN): 9783642120572
Издательство: Springer
Рейтинг:
Цена: 12717.00 р. 18167.00 -30%
Наличие на складе: Есть (1 шт.)
Описание: It presents many new results on higher-order methods for scenario and Monte Carlo simulation, including implicit, predictor corrector, extrapolation, Markov chain and variance reduction methods, stressing the importance of their numerical stability.

Advances in Stochastic Modelling and Data Analysis

Автор: Jacques Janssen; Christos H. Skiadas; Constantin Z
Название: Advances in Stochastic Modelling and Data Analysis
ISBN: 9048145740 ISBN-13(EAN): 9789048145744
Издательство: Springer
Рейтинг:
Цена: 16764.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Audience: A wide readership drawn from theoretical and applied mathematicians, such as operations researchers, management scientists, statisticians, computer scientists, bankers, marketing managers, forecasters, and scientific societies such as EURO and TIMS.

Principles of Computational Cell Biology

Автор: Helms, Volkhard
Название: Principles of Computational Cell Biology
ISBN: 3527333584 ISBN-13(EAN): 9783527333585
Издательство: Wiley
Рейтинг:
Цена: 11880.00 р.
Наличие на складе: Поставка под заказ.

Описание: This successful text, now in its 2nd ed. , provides an ideal introduction into the possibilities of modeling on a cell biology level. It extends the strengths of the first edition even further while keeping faithful to the trusted hands-on concept and keeping math to the minimum.

Modeling Anomalous Diffusion: From Statistics To Mathematics

Автор: Deng Weihua
Название: Modeling Anomalous Diffusion: From Statistics To Mathematics
ISBN: 9811212996 ISBN-13(EAN): 9789811212994
Издательство: World Scientific Publishing
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Цена: 14256.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

This book focuses on modeling the anomalous diffusion phenomena, being ubiquitous in the natural world. Both the microscopic models (stochastic processes) and macroscopic models (partial differential equations) have been built up. The relationships between the two kinds of models are clarified, and based on these models, some statistical observables are analyzed. From statistics to mathematics, the built models show their power with their associated applications.

This book is important for students to develop basic skills to be able to succeed in their future research. In addition to introducing the related models or methods, it also provides the corresponding applications and simulation results, which will attract more readers ranging from mathematicians to physicists or chemists, to name a few.

Foundations of Real Estate Financial Modelling

Автор: Staiger Roger
Название: Foundations of Real Estate Financial Modelling
ISBN: 1138046183 ISBN-13(EAN): 9781138046184
Издательство: Taylor&Francis
Рейтинг:
Цена: 11482.00 р.
Наличие на складе: Поставка под заказ.

Описание:

NAMED ONE OF THE BEST COMMERCIAL REAL ESTATE BOOKS BY THE MOTLEY FOOL

Foundations of Real Estate Financial Modelling, Second Edition is specifically designed to provide the scalable basis of pro forma modelling for real estate projects. The book introduces students and professionals to the basics of real estate finance theory prior to providing a step-by-step guide for financial real estate model construction using Excel. The book introduces an innovative new financial metric, P(Gain), which quantifies the probability of a Return of Capital and answers the most basic question for investing, "What is the probability I get my money back?". 

This new second edition has been fully revised and expanded. The book is separated into three functional units: (1) Real Estate Valuation Basics, Theory and Skills, (2) Real Estate Pro Forma Modelling, (3) Real Estate Pro Forma (Enhancements). New and enhanced Chapters cover:  

  • Interest rates
  • Amortization
  • Single- and multi-family unit
  • Development module
  • Rent roll module
  • Waterfall (equity bifurcation)
  • Hotel, retail/office and townhouse.  

In addition, this new edition includes problem sets and solutions at the end of each chapter as well as case studies underpinning the chapter topics. Further chapters are dedicated to risk quantification and include scenario, stochastic and Monte Carlo simulations, equity waterfalls, and adding U.S. GAAP financial statements to existing real estate pro forma models.

This book is the ideal textbook for a Real Estate Finance class, providing the theoretical basis of real estate finance as well as valuable modelling skills for the workplace. This book provides individuals with a step-by-step instruction on how to construct a real estate financial model starting with a new spreadsheet. The resultant model is portable, scalable, and modular. A companion website provides the pro forma models to readers as a reference for their own constructed models.

Companion web material available at: https: //pgainllc.com/

Stochastic Volatility Modeling

Автор: Bergomi
Название: Stochastic Volatility Modeling
ISBN: 1482244063 ISBN-13(EAN): 9781482244069
Издательство: Taylor&Francis
Рейтинг:
Цена: 13473.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

Packed with insights, Lorenzo Bergomi's Stochastic Volatility Modeling explains how stochastic volatility is used to address issues arising in the modeling of derivatives, including:

  • Which trading issues do we tackle with stochastic volatility?
  • How do we design models and assess their relevance?
  • How do we tell which models are usable and when does calibration make sense?

This manual covers the practicalities of modeling local volatility, stochastic volatility, local-stochastic volatility, and multi-asset stochastic volatility. In the course of this exploration, the author, Risk's 2009 Quant of the Year and a leading contributor to volatility modeling, draws on his experience as head quant in Soci t G n rale's equity derivatives division. Clear and straightforward, the book takes readers through various modeling challenges, all originating in actual trading/hedging issues, with a focus on the practical consequences of modeling choices.

Brownian Motion and Stochastic Calculus

Автор: Karatzas
Название: Brownian Motion and Stochastic Calculus
ISBN: 0387976558 ISBN-13(EAN): 9780387976556
Издательство: Springer
Рейтинг:
Цена: 6981.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book is designed as a text for graduate courses in stochastic processes. It is written for readers familiar with measure-theoretic probability and discrete-time processes who wish to explore stochastic processes in continuous time. The vehicle chosen for this exposition is Brownian motion, which is presented as the canonical example of both a martingale and a Markov process with continuous paths. In this context, the theory of stochastic integration and stochastic calculus is developed. The power of this calculus is illustrated by results concerning representations of martingales and change of measure on Wiener space, and these in turn permit a presentation of recent advances in financial economics (option pricing and consumption/investment optimization). This book contains a detailed discussion of weak and strong solutions of stochastic differential equations and a study of local time for semimartingales, with special emphasis on the theory of Brownian local time. The text is complemented by a large number of problems and exercises.


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