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An Introduction to Algorithmic Finance, Algorithmic Trading and Blockchain, Palash Sarkar, Satya Chakravarty


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Цена: 112470.00T
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Склад Америка: 209 шт.  
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Автор: Palash Sarkar, Satya Chakravarty
Название:  An Introduction to Algorithmic Finance, Algorithmic Trading and Blockchain
ISBN: 9781789738940
Издательство: Emerald
Классификация:
ISBN-10: 1789738946
Обложка/Формат: Hardcover
Страницы: 208
Вес: 0.42 кг.
Дата издания: 20.08.2020
Серия: Economics/Business/Finance
Язык: English
Размер: 229 x 152 x 15
Читательская аудитория: Professional and scholarly
Ключевые слова: Economics,Economics, finance, business & management,Finance & accounting, BUSINESS & ECONOMICS / Accounting / Financial,BUSINESS & ECONOMICS / Economics / General,BUSINESS & ECONOMICS / General
Рейтинг:
Поставляется из: Англии
Описание: The purpose of the book is to provide a broad-based accessible introduction to three of the presently most important areas of computational finance, namely, option pricing, algorithmic trading and blockchain. This will provide a basic understanding required for a career in the finance industry and for doing more specialised courses in finance.

Algorithmic Trading

Автор: Chan Ernie
Название: Algorithmic Trading
ISBN: 1118460146 ISBN-13(EAN): 9781118460146
Издательство: Wiley
Рейтинг:
Цена: 63360.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Focuses on quantitative trading. This book offers readers an insight into how and why each trading strategy was developed, how it was implemented, and even how it was coded. It is suitable for anyone looking to create their own systematic trading strategies.

Algorithmic Game Theory

Автор: Edited by Noam Nisan
Название: Algorithmic Game Theory
ISBN: 0521872820 ISBN-13(EAN): 9780521872829
Издательство: Cambridge Academ
Рейтинг:
Цена: 65470.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: More than 40 of the top researchers in this field have written chapters that go from the foundations to the state of the art. Basic chapters on algorithmic methods for equilibria, mechanism design and combinatorial auctions are followed by chapters on incentives and pricing, cost sharing, information markets and cryptography and security.

The Science of Algorithmic Trading and Portfolio Management,

Автор: Robert Kissell
Название: The Science of Algorithmic Trading and Portfolio Management,
ISBN: 0124016898 ISBN-13(EAN): 9780124016897
Издательство: Elsevier Science
Рейтинг:
Цена: 57250.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Discusses algorithmic trading across the various asset classes, provides key insights into ways to develop, test, and build trading algorithms. This title helps readers learn how to evaluate market impact models and assess performance across algorithms, traders, and brokers, and acquire the knowledge to implement electronic trading systems.

Blockchain economics: implications of distributed ledgers - markets, communications networks, and algorithmic reality

Название: Blockchain economics: implications of distributed ledgers - markets, communications networks, and algorithmic reality
ISBN: 1786346389 ISBN-13(EAN): 9781786346384
Издательство: World Scientific Publishing
Рейтинг:
Цена: 35140.00 T
Наличие на складе: Есть
Описание:

This practical introduction explains the field of Blockchain Economics, the economic models emerging with the implementation of distributed ledger technology. These models are characterized by three factors: open platform business models, cryptotoken money supplies, and Initial Coin Offerings as a new and official form of financing. The book covers a variety of approaches from a business and academic perspective, ranging from financial theory, complexity, and open innovation networks to behavioral economics, self-determination theory, public policy, and financial inclusion.

Unlike existing titles, this book draws on worldwide blockchain industry experts to define the new discipline of Blockchain Economics and provide novel theoretical and conceptual resources for the future of this fast-developing economy. The primer also highlights the wider theme of blockchain as an institutional technology, in that many value transfer interactions might be shifted to automated networks, decreasing the number of human-operated institutions.

As well as stimulating further research, and implementation by business innovators and public policy strategists, the book can also be used as a foundational textbook in courses on Blockchain Economics.


Algorithmic and High-Frequency Trading

Автор: Cartea
Название: Algorithmic and High-Frequency Trading
ISBN: 1107091144 ISBN-13(EAN): 9781107091146
Издательство: Cambridge Academ
Рейтинг:
Цена: 63360.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This cutting-edge textbook shows how to build the advanced mathematical models that underpin modern trading algorithms. If you need to understand how modern electronic markets operate, what information provides a trading edge, and how other market participants may affect the profitability of the algorithms, then this book is for you.

Building Algorithmic Trading Systems

Автор: Davey Kevin
Название: Building Algorithmic Trading Systems
ISBN: 1118778987 ISBN-13(EAN): 9781118778982
Издательство: Wiley
Рейтинг:
Цена: 71810.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Develop your own trading system with practical guidance and expert advice In Building Algorithmic Trading Systems: A Trader`s Journey From Data Mining to Monte Carlo Simulation to Live Training, award-winning trader Kevin Davey shares his secrets for developing trading systems that generate triple-digit returns.

Algorithmic Trading & Quantitative

Автор: Velu
Название: Algorithmic Trading & Quantitative
ISBN: 1498737161 ISBN-13(EAN): 9781498737166
Издательство: Taylor&Francis
Рейтинг:
Цена: 117390.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Brings together the literature in main stream finance and the tools presented in quantitative finance with a focus on what is being practiced in industry. The author begins with the economic theory behind price formation and tests the model that results from the theory and suggests algorithms to detect and exploit the anomalies.

Ultimate Algorithmic Trading System Toolbox

Автор: Pruitt George
Название: Ultimate Algorithmic Trading System Toolbox
ISBN: 111909657X ISBN-13(EAN): 9781119096573
Издательство: Wiley
Рейтинг:
Цена: 77090.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The accessible, beneficial guide to developing algorithmic trading solutions The Ultimate Algorithmic Trading System Toolbox is the complete package savvy investors have been looking for.

A Guide to Creating a Successful Algorithmic Trading Strategy

Автор: Kaufman Perry J.
Название: A Guide to Creating a Successful Algorithmic Trading Strategy
ISBN: 1119224748 ISBN-13(EAN): 9781119224747
Издательство: Wiley
Рейтинг:
Цена: 52800.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Turn insight into profit with guru guidance toward successful algorithmic trading A Guide to Creating a Successful Algorithmic Trading Strategy provides the latest strategies from an industry guru to show you how to build your own system from the ground up.

Introduction to algorithmic marketing

Автор: Katsov, Ilya
Название: Introduction to algorithmic marketing
ISBN: 0692989048 ISBN-13(EAN): 9780692989043
Издательство: Неизвестно
Рейтинг:
Цена: 61310.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

Introduction to Algorithmic Marketing is a comprehensive guide to advanced marketing automation for marketing strategists, data scientists, product managers, and software engineers. It summarizes various techniques tested by major technology, advertising, and retail companies, and it glues these methods together with economic theory and machine learning. The book covers the main areas of marketing that require programmatic micro-decisioning - targeted promotions and advertisements, eCommerce search, recommendations, pricing, and assortment optimization.

"A comprehensive and indispensable reference for anyone undertaking the transformational journey towards algorithmic marketing."

―Ali Bouhouch, CTO, Sephora Americas

"It is a must-read for both data scientists and marketing officerseven better if they read it together."

―Andrey Sebrant, Director of Strategic Marketing, Yandex

"The book gives the executives, middle managers, and data scientists in your organization a set of concrete, actionable, and incremental recommendations on how to build better insights and decisions, starting today, one step at a time."

―Victoria Livschitz, founder and CTO, Grid Dynamics

Table of Contents

Chapter 1 - Introduction

  1. The Subject of Algorithmic Marketing
  2. The Definition of Algorithmic Marketing
  3. Historical Backgrounds and Context
  4. Programmatic Services
  5. Who Should Read This Book?
  6. Summary

Chapter 2 - Review of Predictive Modeling

  1. Descriptive, Predictive, and Prescriptive Analytics
  2. Economic Optimization
  3. Machine Learning
  4. Supervised Learning
  5. Representation Learning
  6. More Specialized Models
  7. Summary

Chapter 3 - Promotions and Advertisements

  1. Environment
  2. Business Objectives
  3. Targeting Pipeline
  4. Response Modeling and Measurement
  5. Building Blocks: Targeting and LTV Models
  6. Designing and Running Campaigns
  7. Resource Allocation
  8. Online Advertisements
  9. Measuring the Effectiveness
  10. Architecture of Targeting Systems
  11. Summary

Chapter 4 - Search

  1. Environment
  2. Business Objectives
  3. Building Blocks: Matching and Ranking
  4. Mixing Relevance Signals
  5. Semantic Analysis
  6. Search Methods for Merchandising
  7. Relevance Tuning
  8. Architecture of Merchandising Search Services
  9. Summary

Chapter 5 - Recommendations

  1. Environment
  2. Business Objectives
  3. Quality Evaluation
  4. Overview of Recommendation Methods
  5. Content-based Filtering
  6. Introduction to Collaborative Filtering
  7. Neighborhood-based Collaborative Filtering
  8. Model-based Collaborative Filtering
  9. Hybrid Methods
  10. Contextual Recommendations
  11. Non-Personalized Recommendations
  12. Multiple Objective Optimization
  13. Architecture of Recommender Systems
  14. Summary

Chapter 6 - Pricing and Assortment

  1. Environment
  2. The Impact of Pricing
  3. Price and Value
  4. Price and Demand
  5. Basic Price Structures
  6. Demand Prediction
  7. Price Optimization
  8. Resource Allocation
  9. Assortment Optimization
  10. Architecture of Price Management Systems
  11. Summary


Introduction to Algorithmic Marketing: Artificial Intelligence for Marketing Operations

Автор: Katsov Ilya
Название: Introduction to Algorithmic Marketing: Artificial Intelligence for Marketing Operations
ISBN: 0692142606 ISBN-13(EAN): 9780692142608
Издательство: Неизвестно
Цена: 55170.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

Introduction to Algorithmic Marketing is a comprehensive guide to advanced marketing automation for marketing strategists, data scientists, product managers, and software engineers. It summarizes various techniques tested by major technology, advertising, and retail companies, and it glues these methods together with economic theory and machine learning. The book covers the main areas of marketing that require programmatic micro-decisioning - targeted promotions and advertisements, eCommerce search, recommendations, pricing, and assortment optimization.

"A comprehensive and indispensable reference for anyone undertaking the transformational journey towards algorithmic marketing."

―Ali Bouhouch, CTO, Sephora Americas

"It is a must-read for both data scientists and marketing officerseven better if they read it together."

―Andrey Sebrant, Director of Strategic Marketing, Yandex

"The book gives the executives, middle managers, and data scientists in your organization a set of concrete, actionable, and incremental recommendations on how to build better insights and decisions, starting today, one step at a time."

―Victoria Livschitz, founder and CTO, Grid Dynamics

Table of Contents

Chapter 1 - Introduction

  1. The Subject of Algorithmic Marketing
  2. The Definition of Algorithmic Marketing
  3. Historical Backgrounds and Context
  4. Programmatic Services
  5. Who Should Read This Book?
  6. Summary

Chapter 2 - Review of Predictive Modeling

  1. Descriptive, Predictive, and Prescriptive Analytics
  2. Economic Optimization
  3. Machine Learning
  4. Supervised Learning
  5. Representation Learning
  6. More Specialized Models
  7. Summary

Chapter 3 - Promotions and Advertisements

  1. Environment
  2. Business Objectives
  3. Targeting Pipeline
  4. Response Modeling and Measurement
  5. Building Blocks: Targeting and LTV Models
  6. Designing and Running Campaigns
  7. Resource Allocation
  8. Online Advertisements
  9. Measuring the Effectiveness
  10. Architecture of Targeting Systems
  11. Summary

Chapter 4 - Search

  1. Environment
  2. Business Objectives
  3. Building Blocks: Matching and Ranking
  4. Mixing Relevance Signals
  5. Semantic Analysis
  6. Search Methods for Merchandising
  7. Relevance Tuning
  8. Architecture of Merchandising Search Services
  9. Summary

Chapter 5 - Recommendations

  1. Environment
  2. Business Objectives
  3. Quality Evaluation
  4. Overview of Recommendation Methods
  5. Content-based Filtering
  6. Introduction to Collaborative Filtering
  7. Neighborhood-based Collaborative Filtering
  8. Model-based Collaborative Filtering
  9. Hybrid Methods
  10. Contextual Recommendations
  11. Non-Personalized Recommendations
  12. Multiple Objective Optimization
  13. Architecture of Recommender Systems
  14. Summary

Chapter 6 - Pricing and Assortment

  1. Environment
  2. The Impact of Pricing
  3. Price and Value
  4. Price and Demand
  5. Basic Price Structures
  6. Demand Prediction
  7. Price Optimization
  8. Resource Allocation
  9. Assortment Optimization
  10. Architecture of Price Management Systems
  11. Summary

Introduction to Algorithmic Government

Автор: Gupta Rajan, Pal Saibal Kumar
Название: Introduction to Algorithmic Government
ISBN: 9811602816 ISBN-13(EAN): 9789811602818
Издательство: Springer
Цена: 73910.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The world is changing at a fast pace, so is the Government and Governance style. This book introduces the Algorithmic Government or Government by Algorithm, which refers to authorizing machines in the Public Sector for automated decision-making based on Artificial Intelligence, Data Science, and other technologies.


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