The Book of Alternative Data

2020-07-21

PDF The Book of Alternative Data Download

Author: Alexander Denev
Publisher: John Wiley & Sons
ISBN: 1119601797
Category : Business & Economics
Languages : en
Pages : 416

The first and only book to systematically address methodologies and processes of leveraging non-traditional information sources in the context of investing and risk management Harnessing non-traditional data sources to generate alpha, analyze markets, and forecast risk is a subject of intense interest for financial professionals. A growing number of regularly-held conferences on alternative data are being established, complemented by an upsurge in new papers on the subject. Alternative data is starting to be steadily incorporated by conventional institutional investors and risk managers throughout the financial world. Methodologies to analyze and extract value from alternative data, guidance on how to source data and integrate data flows within existing systems is currently not treated in literature. Filling this significant gap in knowledge, The Book of Alternative Data is the first and only book to offer a coherent, systematic treatment of the subject. This groundbreaking volume provides readers with a roadmap for navigating the complexities of an array of alternative data sources, and delivers the appropriate techniques to analyze them. The authors—leading experts in financial modeling, machine learning, and quantitative research and analytics—employ a step-by-step approach to guide readers through the dense jungle of generated data. A first-of-its kind treatment of alternative data types, sources, and methodologies, this innovative book: Provides an integrated modeling approach to extract value from multiple types of datasets Treats the processes needed to make alternative data signals operational Helps investors and risk managers rethink how they engage with alternative datasets Features practical use case studies in many different financial markets and real-world techniques Describes how to avoid potential pitfalls and missteps in starting the alternative data journey Explains how to integrate information from different datasets to maximize informational value The Book of Alternative Data is an indispensable resource for anyone wishing to analyze or monetize different non-traditional datasets, including Chief Investment Officers, Chief Risk Officers, risk professionals, investment professionals, traders, economists, and machine learning developers and users.

Handbook of Alternative Data in Finance, Volume I

2023-07-12

PDF Handbook of Alternative Data in Finance, Volume I Download

Author: Gautam Mitra
Publisher: CRC Press
ISBN: 1000897915
Category : Business & Economics
Languages : en
Pages : 478

Handbook of Alternative Data in Finance, Volume I motivates and challenges the reader to explore and apply Alternative Data in finance. The book provides a robust and in-depth overview of Alternative Data, including its definition, characteristics, difference from conventional data, categories of Alternative Data, Alternative Data providers, and more. The book also offers a rigorous and detailed exploration of process, application and delivery that should be practically useful to researchers and practitioners alike. Features Includes cutting edge applications in machine learning, fintech, and more Suitable for professional quantitative analysts, and as a resource for postgraduates and researchers in financial mathematics Features chapters from many leading researchers and practitioners

The AI Book

2020-04-09

PDF The AI Book Download

Author: Ivana Bartoletti
Publisher: John Wiley & Sons
ISBN: 1119551927
Category : Business & Economics
Languages : en
Pages : 782

Written by prominent thought leaders in the global fintech space, The AI Book aggregates diverse expertise into a single, informative volume and explains what artifical intelligence really means and how it can be used across financial services today. Key industry developments are explained in detail, and critical insights from cutting-edge practitioners offer first-hand information and lessons learned. Coverage includes: · Understanding the AI Portfolio: from machine learning to chatbots, to natural language processing (NLP); a deep dive into the Machine Intelligence Landscape; essentials on core technologies, rethinking enterprise, rethinking industries, rethinking humans; quantum computing and next-generation AI · AI experimentation and embedded usage, and the change in business model, value proposition, organisation, customer and co-worker experiences in today’s Financial Services Industry · The future state of financial services and capital markets – what’s next for the real-world implementation of AITech? · The innovating customer – users are not waiting for the financial services industry to work out how AI can re-shape their sector, profitability and competitiveness · Boardroom issues created and magnified by AI trends, including conduct, regulation & oversight in an algo-driven world, cybersecurity, diversity & inclusion, data privacy, the ‘unbundled corporation’ & the future of work, social responsibility, sustainability, and the new leadership imperatives · Ethical considerations of deploying Al solutions and why explainable Al is so important

The Little Book of Alternative Investments

2011-02-25

PDF The Little Book of Alternative Investments Download

Author: Ben Stein
Publisher: John Wiley & Sons
ISBN: 9781118075265
Category : Business & Economics
Languages : en
Pages : 288

Praise For THE LITTLE BOOK OF ALTERNATIVE INVESTMENTS "Ben and Phil have done it again. Another lucid, insightful book, designed to enhance your wealth! In today's stock-addled cult of equities, there is a gaping hole in most investors' portfolios...the whole panoply of alternative investments that can simultaneously help us cut our risk, better hedge our inflation risk, and boost our return. This Little Book is filled with big ideas on how to make these markets and strategies a treasured part of our investing toolkit." —Robert Arnott, Chairman, Research Affiliates "I have been reading Ben Stein for thirty-five years and Phil DeMuth since he joined up with Ben ten years ago. They do solid work, and this latest is no exception." —Jim Rogers, author of A Gift to My Children "If anyone can make hedge funds sexy, Stein and DeMuth can, and they've done it with style in this engaging, instructive, and tasteful how-to guide for investing in alternatives. But you should read this Kama Sutra of investment manuals not just for the thrills, but also to learn how to avoid the hazards of promiscuous and unprotected investing." —Andrew Lo, Professor and Director, MIT Laboratory for Financial Engineering

Big Data Science in Finance

2021-01-08

PDF Big Data Science in Finance Download

Author: Irene Aldridge
Publisher: John Wiley & Sons
ISBN: 1119602971
Category : Computers
Languages : en
Pages : 336

Explains the mathematics, theory, and methods of Big Data as applied to finance and investing Data science has fundamentally changed Wall Street—applied mathematics and software code are increasingly driving finance and investment-decision tools. Big Data Science in Finance examines the mathematics, theory, and practical use of the revolutionary techniques that are transforming the industry. Designed for mathematically-advanced students and discerning financial practitioners alike, this energizing book presents new, cutting-edge content based on world-class research taught in the leading Financial Mathematics and Engineering programs in the world. Marco Avellaneda, a leader in quantitative finance, and quantitative methodology author Irene Aldridge help readers harness the power of Big Data. Comprehensive in scope, this book offers in-depth instruction on how to separate signal from noise, how to deal with missing data values, and how to utilize Big Data techniques in decision-making. Key topics include data clustering, data storage optimization, Big Data dynamics, Monte Carlo methods and their applications in Big Data analysis, and more. This valuable book: Provides a complete account of Big Data that includes proofs, step-by-step applications, and code samples Explains the difference between Principal Component Analysis (PCA) and Singular Value Decomposition (SVD) Covers vital topics in the field in a clear, straightforward manner Compares, contrasts, and discusses Big Data and Small Data Includes Cornell University-tested educational materials such as lesson plans, end-of-chapter questions, and downloadable lecture slides Big Data Science in Finance: Mathematics and Applications is an important, up-to-date resource for students in economics, econometrics, finance, applied mathematics, industrial engineering, and business courses, and for investment managers, quantitative traders, risk and portfolio managers, and other financial practitioners.

The Only Guide to Alternative Investments You'll Ever Need

2010-05-13

PDF The Only Guide to Alternative Investments You'll Ever Need Download

Author: Larry E. Swedroe
Publisher: John Wiley and Sons
ISBN: 0470885335
Category : Business & Economics
Languages : en
Pages : 238

The rewards of carefully chosen alternative investments can be great. But many investors don’t know enough about unfamiliar investments to make wise choices. For that reason, financial advisers Larry Swedroe and Jared Kizer designed this book to bring investors up to speed on the twenty most popular alternative investments: Real estate, Inflation-protected securities, Commodities, International equities, Fixed annuities, Stable-value funds, High-yield (junk) bonds, Private equity (venture capital), Covered calls, Socially responsible mutual funds, Precious metals equities, Preferred stocks, Convertible bonds, Emerging market bonds, Hedge funds, Leveraged buyouts, Variable annuities, Equity-indexed annuities, Structured investment products, Leveraged funds The authors describe how the investments work, the pros and cons of each, which to consider, which to avoid, and how to get started. Swedroe and Kizer evaluate each investment in terms of: Expected returns Volatility Distribution of returns Diversification potential Fees Trading and operating expenses Liquidity Tax efficiency Account location Role in an asset-allocation program Any investor who is considering or just curious about investment opportunities outside the traditional world of stocks, bonds, and bank certificates of deposit would be well-advised to read this book.

Data-Driven Investing, + Website

2025-04-29

PDF Data-Driven Investing, + Website Download

Author: Matei Zatreanu
Publisher: Wiley
ISBN: 9781119429630
Category : Business & Economics
Languages : en
Pages : 0

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.

Big Data for Twenty-First-Century Economic Statistics

2022-03-11

PDF Big Data for Twenty-First-Century Economic Statistics Download

Author: Katharine G. Abraham
Publisher: University of Chicago Press
ISBN: 022680125X
Category : Business & Economics
Languages : en
Pages : 502

Introduction.Big data for twenty-first-century economic statistics: the future is now /Katharine G. Abraham, Ron S. Jarmin, Brian C. Moyer, and Matthew D. Shapiro --Toward comprehensive use of big data in economic statistics.Reengineering key national economic indicators /Gabriel Ehrlich, John Haltiwanger, Ron S. Jarmin, David Johnson, and Matthew D. Shapiro ;Big data in the US consumer price index: experiences and plans /Crystal G. Konny, Brendan K. Williams, and David M. Friedman ;Improving retail trade data products using alternative data sources /Rebecca J. Hutchinson ;From transaction data to economic statistics: constructing real-time, high-frequency, geographic measures of consumer spending /Aditya Aladangady, Shifrah Aron-Dine, Wendy Dunn, Laura Feiveson, Paul Lengermann, and Claudia Sahm ;Improving the accuracy of economic measurement with multiple data sources: the case of payroll employment data /Tomaz Cajner, Leland D. Crane, Ryan A. Decker, Adrian Hamins-Puertolas, and Christopher Kurz --Uses of big data for classification.Transforming naturally occurring text data into economic statistics: the case of online job vacancy postings /Arthur Turrell, Bradley Speigner, Jyldyz Djumalieva, David Copple, and James Thurgood ;Automating response evaluation for franchising questions on the 2017 economic census /Joseph Staudt, Yifang Wei, Lisa Singh, Shawn Klimek, J. Bradford Jensen, and Andrew Baer ;Using public data to generate industrial classification codes /John Cuffe, Sudip Bhattacharjee, Ugochukwu Etudo, Justin C. Smith, Nevada Basdeo, Nathaniel Burbank, and Shawn R. Roberts --Uses of big data for sectoral measurement.Nowcasting the local economy: using Yelp data to measure economic activity /Edward L. Glaeser, Hyunjin Kim, and Michael Luca ;Unit values for import and export price indexes: a proof of concept /Don A. Fast and Susan E. Fleck ;Quantifying productivity growth in the delivery of important episodes of care within the Medicare program using insurance claims and administrative data /John A. Romley, Abe Dunn, Dana Goldman, and Neeraj Sood ;Valuing housing services in the era of big data: a user cost approach leveraging Zillow microdata /Marina Gindelsky, Jeremy G. Moulton, and Scott A. Wentland --Methodological challenges and advances.Off to the races: a comparison of machine learning and alternative data for predicting economic indicators /Jeffrey C. Chen, Abe Dunn, Kyle Hood, Alexander Driessen, and Andrea Batch ;A machine learning analysis of seasonal and cyclical sales in weekly scanner data /Rishab Guha and Serena Ng ;Estimating the benefits of new products /W. Erwin Diewert and Robert C. Feenstra.

Handbook of Alternative Assets

2008-04-15

PDF Handbook of Alternative Assets Download

Author: Mark J. P. Anson
Publisher: John Wiley & Sons
ISBN: 9780470089224
Category : Business & Economics
Languages : en
Pages : 720

Since the first edition of the Handbook of Alternative Assets was published, significant events-from the popping of the technology bubble and massive accounting scandals to recessions and bear markets-have shifted the financial landscape. These changes have provided author Mark J. P. Anson with an excellent opportunity to examine alternative assets during a different part of the economic cycle than previously observed in the first edition. Fully revised and updated to reflect today's financial realities, the Handbook of Alternative Assets, Second Edition covers the five major classes of alternative assets-hedge funds, commodity and managed futures, private equity, credit derivatives, and corporate governance-and outlines the strategies you can use to efficiently incorporate these assets into any portfolio. Throughout the book, new chapters have been added, different data sources accessed, and new conclusions reached. Designed as both an introduction to the world of alternative assets and as a reference for the active investor, the Handbook of Alternative Assets, Second Edition will help you match alternative assets with your various investment goals.

The Alternative Answer

2013-05-14

PDF The Alternative Answer Download

Author: Bob Rice
Publisher: Harper Collins
ISBN: 0062257919
Category : Business & Economics
Languages : en
Pages : 214

The first book to explain the new world of alternative investing, showing how anyone can use nontraditional options to significantly increase returns and lower risks The world's elite investors have long relied on alternative investments to produce superior returns. Until now, these strategies were the exclusive purview of institutions and the superwealthy, but today any informed investor can play the same game. A rainbow of investment options—timber, start-ups, master limited partnerships (MLPs), hedged strategies, managed futures, infrastructure, peer-to-peer lending, farmland, and dozens of other nontraditional strategies—can provide dramatically better gains, with less total risk, than the standard choices. In The Alternative Answer, Bob Rice, Bloomberg TV's Alternative Investments Editor, leads an entertaining and easy- to-understand tour of this world, and suggests specific alternative investments for all four key "jobs" of a portfolio: safely generating more current income, decreasing risks of economic shocks, significantly increasing long-term profits, and protecting purchasing power over time. Regardless of experience or net worth, readers will learn exactly how to substantially improve investment performance—in the same way that the world's best investors already do. Stocks and bonds alone aren't nearly enough. Investors need an alternative answer and now they have it.