موضوعات
آموزش و پرورش
ادبیات و زبان
پزشکی، دندانپزشکی و داروسازی
تاریخ و جغرافیا
داستان و رمان
دیگر
دین و فلسفه
روانشناسی
ریاضیات و آمار
سلامتی، تناسب اندام و رژیم غذایی
شیمی و پلیمر
علوم اجتماعی و حقوق
علوم زیستی و بیوتکنولوژی
فیزیک و نجوم
کامپیوتر و اینترنت
کتابهای کودکان و داستان
کسب و کار و اقتصاد
کشاورزی و دامپزشکی و غذا
معماری
مهندسی و فناوری
هنر و تئاتر
محصولات
Data Governance: Governing data for sustainable business - Original PDF
نویسندگان: خلاصه: There are multiple definitions available for the following highlighted terms, but for the purposes of this book, terms will be used as explained in the following paragraphs. Data governance or the governance of data are terms that we’ll use in the book for the governance activities carried out by a board of directors or trustees, a cabinet committee, or any other top-level group charged with setting policy rules for how their organisations use data for decision making, reference and analysis. We will refer to this group of people as a governing body. This governing body is responsible for the development of a data strategy to determine how data is used within their organisation to deliver the overarching organisational strategy. Data governance activities can include the actions taken by managers to observe and respect the policy rules set by the governing body, but it should be noted that the data governance duties of the governing body cannot be delegated without a loss of accountability
An Introduction to Algorithmic Finance, Algorithmic Trading and Blockchain - Original PDF
نویسندگان: خلاصه: The purpose of An Introduction to Algorithmic Finance 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 specialized courses in finance.An Introduction to Algorithmic Finance breaks down into three parts. The first part provides the necessary theoretical background to Derivatives, Options and Stochastic Dominance. The second part covers various algorithmic issues of finance, discussing specific algorithms, their applications and consequences. The third part of the book is devoted to blockchain and cryptocurrency which complements the first two parts.An Introduction to Algorithmic Finance is an interesting, important read for anyone interested in or invested in the finance industry & it highlights and explains current phenomena in algorithmic finance in an articulate manner.
Corporate and Investment Banking: Preparing for a Career in Sales, Trading, and Research in Global Markets - Original PDF
نویسندگان: خلاصه: This book provides unique information to prepare graduates and newly hired corporate and investment banking professionals for a career in the global markets environment of large universal and international investment banks. It shows the interrelationship between the three specific business functions of sales, trading, and research, as well as the interaction with corporate and institutional clients. The book fills a gap in the available literature by linking financial market theory to the practical aspects of day-to-day operations on a trading floor and offers a taxonomy of the current banking business, providing an in-depth analysis of the main market participants in the global markets ecosystem. Engaging the reader with case studies, anecdotes, and industry color, the book addresses the risks and opportunities of the global markets business in today’s global financial markets both from a theoretical and from a practitioner’s perspective and focuses on the most important fixed-income financial instruments from a pricing, risk-management, and client-marketing perspective.
Algorithmic Trading Methods: Applications Using Advanced Statistics, Optimization, and Machine Learning Techniques - Original PDF
نویسندگان: خلاصه: Algorithmic Trading Methods: Applications using Advanced Statistics, Optimization, and Machine Learning Techniques, Second Edition, is a sequel to The Science of Algorithmic Trading and Portfolio Management. This edition includes new chapters on algorithmic trading, advanced trading analytics, regression analysis, optimization, and advanced statistical methods. Increasing its focus on trading strategies and models, this edition includes new insights into the ever-changing financial environment, pre-trade and post-trade analysis, liquidation cost & risk analysis, and compliance and regulatory reporting requirements. Highlighting new investment techniques, this book includes material to assist in the best execution process, model validation, quality and assurance testing, limit order modeling, and smart order routing analysis. Includes advanced modeling techniques using machine learning, predictive analytics, and neural networks. The text provides readers with a suite of transaction cost analysis functions packaged as a TCA library. These programming tools are accessible via numerous software applications and programming languages.
Trading Fixed Income and FX in Emerging Markets: A Practitioner’s Guide - Original PDF
نویسندگان: خلاصه: Emerging fixed income markets are both large and fast growing. China, currently the second largest economy in the world, is predicted to overtake the United States by 2030. Chinese fixed income markets are worth more than $11 trillion USD and are being added to global fixed income indices starting in 2019. Access for foreigners to the Indian fixed income market, valued at almost 1trn USD, is also becoming easier – a trend repeated in emerging markets around the world. The move to include large Emerging Market (EM) fixed income markets into non-EM benchmarks requires non-EM specialists to understand EM fixed income. Trading Fixed Income in Emerging Markets examines the principle drivers for EM fixed income investing. This timely guide suggests a more systematic approach to EM fixed income trading with a focus on practical trading rules on how to generate alpha, assisting EM practitioners to limit market-share losses to passive investment vehicles. The definitive text on trading EM fixed income, this book is heavily data-driven – every trading rule is thoroughly back-tested over the last 10+ years. Case studies help readers identify and benefit from market regularities, while discussions of the business cycle and typical EM events inform and optimise trading strategies. Topics include portfolio construction, how to apply ESG principles to EM and the future of EM investing in the realm of Big Data and machine learning. Written by practitioners for practitioners, this book: Provides effective, immediately-accessible tools Covers all three fixed income asset classes: EMFX, EM local rates and EM credit Thoroughly analyses the impact of the global macro cycle on EM investing Examines the influence of the financial rise of China and its fixed income markets Includes case studies of trades that illustrate how markets typically behave in certain situations The first book of its kind, Trading Fixed Income in Emerging Markets: A Practitioner’s Guide is an indispensable resource for EM fund managers, analysts and strategists, sell-side professionals in EM and non-EM specialists considering activity in emerging markets.
Machine Learning and Data Science Blueprints for Finance: From Building Trading Strategies to Robo-Advisors Using Python - Original PDF
نویسندگان: خلاصه: Over the next few decades, machine learning and data science will transform the finance industry. With this practical book, analysts, traders, researchers, and developers will learn how to build machine learning algorithms crucial to the industry. You’ll examine ML concepts and over 20 case studies in supervised, unsupervised, and reinforcement learning, along with natural language processing (NLP). Ideal for professionals working at hedge funds, investment and retail banks, and fintech firms, this book also delves deep into portfolio management, algorithmic trading, derivative pricing, fraud detection, asset price prediction, sentiment analysis, and chatbot development. You’ll explore real-life problems faced by practitioners and learn scientifically sound solutions supported by code and examples. This book covers: • Supervised learning regression-based models for trading strategies, derivative pricing, and portfolio management • Supervised learning classification-based models for credit default risk prediction, fraud detection, and trading strategies • Dimensionality reduction techniques with case studies in portfolio management, trading strategy, and yield curve construction • Algorithms and clustering techniques for finding similar objects, with case studies in trading strategies and portfolio management • Reinforcement learning models and techniques used for building trading strategies, derivatives hedging, and portfolio management • NLP techniques using Python libraries such as NLTK and scikit-learn for transforming text into meaningful representations
Quantum Finance: Intelligent Forecast and Trading Systems - Original PDF
نویسندگان: خلاصه: With the exponential growth of program trading in the global financial industry, quantum finance and its underlying technologies have become one of the hottest topics in the fintech community. Numerous financial institutions and fund houses around the world require computer professionals with a basic understanding of quantum finance to develop intelligent financial systems. This book presents a selection of the author’s past 15 years’ R&D work and practical implementation of the Quantum Finance Forecast System – which integrates quantum field theory and related AI technologies to design and develop intelligent global financial forecast and quantum trading systems. The book consists of two parts: Part I discusses the basic concepts and theories of quantum finance and related AI technologies, including quantum field theory, quantum price fields, quantum price level modelling and quantum entanglement to predict major financial events. Part II then examines the current, ongoing R&D projects on the application of quantum finance technologies in intelligent real-time financial prediction and quantum trading systems. This book is both a textbook for undergraduate & masters level quantum finance, AI and fintech courses and a valuable resource for researchers and data scientists working in the field of quantum finance and intelligent financial systems. It is also of interest to professional traders/ quants & independent investors who would like to grasp the basic concepts and theory of quantum finance, and more importantly how to adopt this fascinating technology to implement intelligent financial forecast and quantum trading systems. For system implementation, the interactive quantum finance programming labs listed on the Quantum Finance Forecast Centre official site (QFFC.org) enable readers to learn how to use quantum finance technologies presented in the book.
Applications of computational intelligence in data-driven trading - Original PDF
نویسندگان: خلاصه: "The objective of this book is to introduce the reader to the field of Computational Finance using the framework of Machine Learning as a tool of scientific inquiry. It is an attempt to integrate these two topics: how to use Machine Learning as the tool of choice in solving topical problems in Computational Finance. Readers will learn modern methods used by financial engineers and quantitative analysts to access, Read more...آیا کتاب مورد نظر هنوز بر روی سایت قرار نگرفته است؟ جای نگرانی نیست! کافی است بر روی گزینه سفارش کتاب کلیک کرده و درخواست خود را ثبت کنید. در کمتر از چند ساعت کتاب شما را آماده خواهیم کرد.