Download Free Data Driven Investing Book in PDF and EPUB Free Download. You can read online Data Driven Investing and write the review.

Implement a data-driven investment strategy The investing landscape is increasingly driven by big data and artificial intelligence. For most finance professionals, big data, statistics, and programming are outside their comfort zone. Yet, proficiency in these areas is becoming a prerequisite for successful investing. And while there are plenty of resources on these individual topics, what is missing is a framework for combining these disciplines for investment purposes. Data-Driven Investing shows readers how investment decisions can be made or improved through the use of alternative datasets and inference techniques. The author covers artificial intelligence algorithms, data visualization, and data sourcing to show how these components come together to form a more robust investment strategy. The goal is to help finance professionals prepare for an investing landscape increasingly driven by big data and artificial intelligence. Shows how investing wisdom can be harnessed through science and augmented by data Demonstrates how an augmented investing philosophy promises a deeper understanding of future economic performance Is essential reading for fund managers, research analysts, quantitative investors, data scientists, and general finance professionals Includes a companion website with code, data sets, and videos providing more in-depth information on augmented/data-driven investing This book comes at a time of increasing investor anxiety with lackluster hedge fund performance, which is causing many funds to explore data-driven investing as a possible evolution of their strategies.
The financial industry has recently adopted Python at a tremendous rate, with some of the largest investment banks and hedge funds using it to build core trading and risk management systems. Updated for Python 3, the second edition of this hands-on book helps you get started with the language, guiding developers and quantitative analysts through Python libraries and tools for building financial applications and interactive financial analytics. Using practical examples throughout the book, author Yves Hilpisch also shows you how to develop a full-fledged framework for Monte Carlo simulation-based derivatives and risk analytics, based on a large, realistic case study. Much of the book uses interactive IPython Notebooks.
A wave of corporate mergers, acquisitions, restructuring, and similar transactions has created unprecedented opportunities for those versed in contemporary risk arbitrage techniques. At the same time, the nature of the merger wave has lent such transactions a much higher degree of predictability than ever before, making risk arbitrage more attractive to investors. Surprisingly, there is little transparency and instruction for investors interested in learning the latest risk arbitrage techniques. Merger Arbitrage – A Fundamental Approach to Event-Driven Investing helps readers understand the inner workings of the strategy and hedge funds which engaged in this investment strategy. Merger arbitrage is one of the most commonly used strategies but paradoxically one of the least known. This book puts it in the spotlight and explains how fund managers are able to benefit from mergers and acquisitions. It describes how to implement this strategy, located at the crossroad of corporate finance and asset management, and where its risks lie through numerous topical examples. The book is split into three parts. The first part, examining the basis of merger arbitrage, looks at the key role of the market in takeover bids. It also assesses the major changes in the financial markets over recent years and their impact on M&A. Various M&A risk and return factors are also discussed, alongside the historical profitability of merger arbitrage, the different approaches used by fund managers and the results of academic studies on the subject. The second part of the book deals with the risk of an M&A transaction failing in terms of financing risk, competition issues, the legal aspects of merger agreements and administrative and political risks. The third part of the book examines specificities of M&A transactions, comprehensively covering hostile takeovers and leveraged buyouts. Each part contains many recent examples and case studies in order to show how the various theories and notions are put into practice. From researching prospects and determining positions, to hedging and trading tactics, Lionel Melka and Amit Shabi present the full complement of sophisticated risk arbitrage techniques, making Merger Arbitrage a must read for finance and investment professionals who want to take advantage of the nearly limitless opportunities afforded by today’s rapidly changing global business environment. The book builds on its authors’ diverse backgrounds and common experience managing a merger arbitrage fund, providing readers with an enriching inside view on M&A operations. Translated by Andrew Fanko and Frances Thomas
This practical content guide empowers businesses to understand, identify and act on big-data opportunities, producing superior business insights for prolific marketing gains.
"I'm excited about Faith Driven Entrepreneur. Anyone who is following the example of their creator God can find echoes of their work in this book." --Lecrae Entrepreneurship can be a lonely journey. But it doesn't need to be. God has a purpose and a plan for all those entrepreneurial dreams and creative gifts he gave you. The work you do today--the company you've built, the employees you work with, the customers you serve, the shareholders you report to, all of it--serves as an active part of what God wants to accomplish on earth. You are not alone in this journey. Join other faith-driven entrepreneurs as, together, we identify the values, habits, and traits that empower us to successfully build businesses, serve our communities, and faithfully pursue a loving relationship with God; read stories that exemplify how those values, habits, and traits unfold in everyday life; and discover the potential God wants to unleash through our work. Each book purchase includes access to the eight-session Faith Driven Entrepreneur video series, a discussion guide to encourage conversation among peers, and an invitation to join a Faith Driven Entrepreneur Group to meet other like-minded entrepreneurs.
Get unprecedented access to thousands of databases. It's called Open Data, and it's revolutionizing business. The business leader’s guide to using Open Data to analyze patterns and trends, manage risk, solve problems—and seize the competitive edge Two major trends—the exponential growth of digital data and an emerging culture of disclosure and transparency—have converged to create a world where voluminous information about businesses, government, and the population is becoming visible, accessible, and usable. It’s called Open Data, and this book helps leaders harness its power to market and grow their companies. Open Data Now gives you the knowledge and tools to take advantage of this phenomenon in its early stages—and beat the competition to leveraging its many benefits. Joel Gurin is an expert on making complex data sets useful in solving consumer problems, analyzing corporate information, and addressing social issues. He has collaborated with leaders in data, technology, and policy in the U.S. and UK governments, including officials in the White House and 10 Downing Street and at more than 20 U.S. federal agencies.
The guide for investors who want a better understanding of investment strategies that have stood the test of time This thoroughly revised and updated edition of Investment Philosophies covers different investment philosophies and reveal the beliefs that underlie each one, the evidence on whether the strategies that arise from the philosophy actually produce results, and what an investor needs to bring to the table to make the philosophy work. The book covers a wealth of strategies including indexing, passive and activist value investing, growth investing, chart/technical analysis, market timing, arbitrage, and many more investment philosophies. Presents the tools needed to understand portfolio management and the variety of strategies available to achieve investment success Explores the process of creating and managing a portfolio Shows readers how to profit like successful value growth index investors Aswath Damodaran is a well-known academic and practitioner in finance who is an expert on different approaches to valuation and investment This vital resource examines various investing philosophies and provides you with helpful online resources and tools to fully investigate each investment philosophy and assess whether it is a philosophy that is appropriate for you.
“Life on earth is filled with many mysteries, but perhaps the most challenging of these is the nature of Intelligence.” – Prof. Terrence J. Sejnowski, Computational Neurobiologist The main objective of this book is to create awareness about both the promises and the formidable challenges that the era of Data-Driven Decision-Making and Machine Learning are confronted with, and especially about how these new developments may influence the future of the financial industry. The subject of Financial Machine Learning has attracted a lot of interest recently, specifically because it represents one of the most challenging problem spaces for the applicability of Machine Learning. The author has used a novel approach to introduce the reader to this topic: The first half of the book is a readable and coherent introduction to two modern topics that are not generally considered together: the data-driven paradigm and Computational Intelligence. The second half of the book illustrates a set of Case Studies that are contemporarily relevant to quantitative trading practitioners who are dealing with problems such as trade execution optimization, price dynamics forecast, portfolio management, market making, derivatives valuation, risk, and compliance. The main purpose of this book is pedagogical in nature, and it is specifically aimed at defining an adequate level of engineering and scientific clarity when it comes to the usage of the term “Artificial Intelligence,” especially as it relates to the financial industry. The message conveyed by this book is one of confidence in the possibilities offered by this new era of Data-Intensive Computation. This message is not grounded on the current hype surrounding the latest technologies, but on a deep analysis of their effectiveness and also on the author’s two decades of professional experience as a technologist, quant and academic.
Many enterprises are investing in a next-generation data lake, hoping to democratize data at scale to provide business insights and ultimately make automated intelligent decisions. In this practical book, author Zhamak Dehghani reveals that, despite the time, money, and effort poured into them, data warehouses and data lakes fail when applied at the scale and speed of today's organizations. A distributed data mesh is a better choice. Dehghani guides architects, technical leaders, and decision makers on their journey from monolithic big data architecture to a sociotechnical paradigm that draws from modern distributed architecture. A data mesh considers domains as a first-class concern, applies platform thinking to create self-serve data infrastructure, treats data as a product, and introduces a federated and computational model of data governance. This book shows you why and how. Examine the current data landscape from the perspective of business and organizational needs, environmental challenges, and existing architectures Analyze the landscape's underlying characteristics and failure modes Get a complete introduction to data mesh principles and its constituents Learn how to design a data mesh architecture Move beyond a monolithic data lake to a distributed data mesh.