Hidden Markov Models in Finance, Rogemar S. Mamon; Robert J. Elliott

Автор: Ross Stephen
Название: Core principles and applications of Corporate Finance, global edition
ISBN: 0071221166 ISBN-13(EAN): 9780071221160
Издательство: McGraw-Hill
Рейтинг:
Цена: 57190.00 T
Наличие на складе: Поставка под заказ.
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.

Автор: Steland
Название: Financial Statistics and Mathematical Finance: Methods, Models and Applications
ISBN: 0470710586 ISBN-13(EAN): 9780470710586
Издательство: Wiley
Рейтинг:
Цена: 68110.00 T
Наличие на складе: Поставка под заказ.
Описание: *Provides an introduction to the basics of financial statistics and mathematical finance.

Автор: Tapiero
Название: Applied Stochastic Models and Control for Finance and Insurance
ISBN: 0792381483 ISBN-13(EAN): 9780792381488
Издательство: Springer
Рейтинг:
Цена: 194730.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Presents at an introductory level some stochastic models applied in economics, finance and insurance. This book uses Markov chains, random walks, stochastic differential equations and other stochastic processes throughout and systematically applies them to economic and financial applications.

Автор: Brooks
Название: Introductory Econometrics for Finance
ISBN: 1107661455 ISBN-13(EAN): 9781107661455
Издательство: Cambridge Academ
Рейтинг:
Цена: 52790.00 T
Наличие на складе: Поставка под заказ.
Описание: This bestselling and thoroughly classroom-tested textbook is a complete resource for finance students. A comprehensive and illustrated discussion of the most common empirical approaches in finance prepares students for using econometrics in practice, while detailed case studies help them understand how the techniques are used in relevant financial contexts. Worked examples from the latest version of the popular statistical software EViews guide students to implement their own models and interpret results. Learning outcomes, key concepts and end-of-chapter review questions (with full solutions online) highlight the main chapter takeaways and allow students to self-assess their understanding. Building on the successful data- and problem-driven approach of previous editions, this third edition has been updated with new data, extensive examples and additional introductory material on mathematics, making the book more accessible to students encountering econometrics for the first time. A companion website, with numerous student and instructor resources, completes the learning package.

Автор: Elliott, Robert J.
Название: Hidden Markov Models in Finance. Further Development and Applications. Vol. 2
ISBN: 1489974415 ISBN-13(EAN): 9781489974419
Издательство: Springer
Рейтинг:
Цена: 130430.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book offers cutting-edge research developments and applications of Hidden Markov Models (HMMs) to finance and closely allied fields. It will help readers to use HMMs to accurately and efficiently capture many of the processes in the financial market.

Автор: Olivier Capp?; Eric Moulines; Tobias Ryden
Название: Inference in Hidden Markov Models
ISBN: 1441923195 ISBN-13(EAN): 9781441923196
Издательство: Springer
Рейтинг:
Цена: 181670.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is a comprehensive treatment of inference for hidden Markov models, including both algorithms and statistical theory. The book builds on recent developments, both at the foundational level and the computational level, to present a self-contained view.

Автор: Ramaprasad Bhar; Shigeyuki Hamori
Название: Hidden Markov Models
ISBN: 1441954481 ISBN-13(EAN): 9781441954480
Издательство: Springer
Рейтинг:
Цена: 153720.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Markov chains have increasingly become useful way of capturing stochastic nature of many economic and financial variables. The main aim of Hidden Markov Models: Applications to Financial Economics is to make such techniques available to more researchers in financial economics.

Автор: Baker H Kent
Название: Behavioral Finance
ISBN: 0470499117 ISBN-13(EAN): 9780470499115
Издательство: Wiley
Рейтинг:
Цена: 88710.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A definitive guide to the growing field of behavioral finance This reliable resource provides a comprehensive view of behavioral finance and its psychological foundations, as well as its applications to finance.

Автор: Zucchini
Название: Hidden Markov Models for Time Series
ISBN: 1482253836 ISBN-13(EAN): 9781482253832
Издательство: Taylor&Francis
Рейтинг:
Цена: 93910.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Hidden Markov Models (HMMs) remains a vibrant area of research in statistics, with many new applications appearing since publication of the first edition.

Автор: Robert J Elliott; Lakhdar Aggoun; John B. Moore
Название: Hidden Markov Models
ISBN: 1441928413 ISBN-13(EAN): 9781441928412
Издательство: Springer
Рейтинг:
Цена: 153720.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: As more applications are found, interest in Hidden Markov Models continues to grow.

Автор: Rogemar S. Mamon; Robert J Elliott
Название: Hidden Markov Models in Finance
ISBN: 1441943803 ISBN-13(EAN): 9781441943804
Издательство: Springer
Рейтинг:
Цена: 102480.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Hidden Markov Models in Finance offers the first systematic application of these methods to specialized financial problems: option pricing, credit risk modeling, volatility estimation and more.

Автор: Jacques Janssen; Raimondo Manca
Название: Semi-Markov Risk Models for Finance, Insurance and Reliability
ISBN: 1441943579 ISBN-13(EAN): 9781441943576
Издательство: Springer
Рейтинг:
Цена: 111790.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: After a presentation of the main probabilistic tools necessary for understanding of the book, the authors show how to apply semi-Markov processes in finance, starting from the axiomatic definition and continuing eventually to the most advanced financial tools.