Unlocking Financial Data

Unlocking Financial Data
Author :
Publisher : "O'Reilly Media, Inc."
Total Pages : 317
Release :
ISBN-10 : 9781491973226
ISBN-13 : 1491973226
Rating : 4/5 (26 Downloads)

Book Synopsis Unlocking Financial Data by : Justin Pauley

Download or read book Unlocking Financial Data written by Justin Pauley and published by "O'Reilly Media, Inc.". This book was released on 2017-10-06 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: Investors recognize that technology is a powerful tool for obtaining and interpreting financial data that could give them the one thing everyone on Wall Street wants: an edge. Yet, many don’t realize that you don’t need to be a programmer to access behind-the-scenes financial information from Bloomberg, IHS Markit, or other systems found at most banks and investment firms. This practical guide teaches analysts a useful subset of Excel skills that will enable them to access and interpret financial information—without any prior programming experience. This book will show analysts, step-by-step, how to quickly produce professional reports that combine their views with Bloomberg or Markit data including historical financials, comparative analysis, and relative value. For portfolio managers, this book demonstrates how to create professional summary reports that contain a high-level view of a portfolio’s performance, growth, risk-adjusted return, and composition. If you are a programmer, this book also contains a parallel path that covers the same topics using C#. Topics include: Access additional data that isn’t visible on Bloomberg screens Create tables containing corporate data that makes it possible to compare multiple companies, bonds, or loans side-by- side Build one-page analytic (“Tear Sheet”) reports for individual companies that incorporates important financials, custom notes, relative value comparison of the company to its peers, and price trends with research analyst targets Build two-page portfolio summary report that contains a high-level view of the portfolio’s performance, growth, risk-adjusted return, and composition Explore daily prices and facility information for most of the tradable corporate bond and loan market Determine the relationship between two securities (or index) using correlation and regression Compare each security’s performance to a cohort made of up of securities with similar risk and return characteristics Measure portfolio risk-adjusted return by calculating variance, standard deviation, and Sharpe ratio Use Markit data to identify meaningful trends in prices, new issue spreads, and refinancings


Unlocking Financial Data Related Books

Unlocking Financial Data
Language: en
Pages: 317
Authors: Justin Pauley
Categories: Business & Economics
Type: BOOK - Published: 2017-10-06 - Publisher: "O'Reilly Media, Inc."

DOWNLOAD EBOOK

Investors recognize that technology is a powerful tool for obtaining and interpreting financial data that could give them the one thing everyone on Wall Street
Unlocking Financial Data
Language: en
Pages: 344
Authors: Justin Pauley
Categories: Business & Economics
Type: BOOK - Published: 2017-10-06 - Publisher: "O'Reilly Media, Inc."

DOWNLOAD EBOOK

Investors recognize that technology is a powerful tool for obtaining and interpreting financial data that could give them the one thing everyone on Wall Street
Statistics
Language: en
Pages: 866
Authors: Robin H. Lock
Categories: Mathematics
Type: BOOK - Published: 2020-10-13 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

Statistics: Unlocking the Power of Data, 3rd Edition is designed for an introductory statistics course focusing on data analysis with real-world applications. S
Digital Finance
Language: en
Pages: 208
Authors: Baxter Hines
Categories: Business & Economics
Type: BOOK - Published: 2020-12-03 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

Explores how the financial industry will be affected by developments in blockchain and cryptocurrencies at the dawn of a new digital age in finance Our financia
Python for Finance Cookbook
Language: en
Pages: 426
Authors: Eryk Lewinson
Categories: Computers
Type: BOOK - Published: 2020-01-31 - Publisher: Packt Publishing Ltd

DOWNLOAD EBOOK

Solve common and not-so-common financial problems using Python libraries such as NumPy, SciPy, and pandas Key FeaturesUse powerful Python libraries such as pand