Isbn: 9781491973257 - unlocking financial data: a practical guide to technology for equity and fixed income analysts (25 resultados)

Paperback. Condición: Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

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Paperback or Softback. Condición: New. Unlocking Financial Data: A Practical Guide to Technology for Equity and Fixed Income Analysts. Book.

Condición: As New. Unread book in perfect condition.

Paperback. Condición: New. 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 screensCreate tables containing corporate data that makes it possible to compare multiple companies, bonds, or loans side-by- sideBuild 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 targetsBuild two-page portfolio summary report that contains a high-level view of the portfolio's performance, growth, risk-adjusted return, and compositionExplore daily prices and facility information for most of the tradable corporate bond and loan marketDetermine the relationship between two securities (or index) using correlation and regressionCompare each security's performance to a cohort made of up of securities with similar risk and return characteristicsMeasure portfolio risk-adjusted return by calculating variance, standard deviation, and Sharpe ratioUse Markit data to identify meaningful trends in prices, new issue spreads, and refinancings.…

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Condición: New. 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 screensCreate tables containing corporate data that makes it possible to compare multiple companies, bonds, or loans side-by- sideBuild 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 targetsBuild two-page portfolio summary report that contains a high-level view of the portfolio's performance, growth, risk-adjusted return, and compositionExplore daily prices and facility information for most of the tradable corporate bond and loan marketDetermine the relationship between two securities (or index) using correlation and regressionCompare each security's performance to a cohort made of up of securities with similar risk and return characteristicsMeasure portfolio risk-adjusted return by calculating variance, standard deviation, and Sharpe ratioUse Markit data to identify meaningful trends in prices, new issue spreads, and refinancings.…

Condición: New.

Condición: As New. Unread book in perfect condition.

Paperback. Condición: new. Paperback. 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" This practical guide teaches analysts a useful subset of Excel skills that will enable them to access and interpret financial informationwithout any prior programming experience. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback / softback. Condición: New. New copy - Usually dispatched within 4 working days.

Paperback. Condición: Brand New. 325 pages. 9.00x7.00x0.50 inches. In Stock.

Condición: New. 2017. 1st Edition. Paperback. . . . . .

Condición: New. In English.

Condición: New. pp. 318 1st edition NO-PA16APR2015-KAP.

Condición: New. pp. 318.

Condición: New. 2017. 1st Edition. Paperback. . . . . . Books ship from the US and Ireland.

Paperback. Condición: New. 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 screensCreate tables containing corporate data that makes it possible to compare multiple companies, bonds, or loans side-by- sideBuild 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 targetsBuild two-page portfolio summary report that contains a high-level view of the portfolio's performance, growth, risk-adjusted return, and compositionExplore daily prices and facility information for most of the tradable corporate bond and loan marketDetermine the relationship between two securities (or index) using correlation and regressionCompare each security's performance to a cohort made of up of securities with similar risk and return characteristicsMeasure portfolio risk-adjusted return by calculating variance, standard deviation, and Sharpe ratioUse Markit data to identify meaningful trends in prices, new issue spreads, and refinancings.…

Kartoniert / Broschiert. Condición: New. &Uumlber den AutorrnrnJustin Pauley is a Senior Structured Credit Analyst at Brigade Capital Management, an asset manager based in New York. At Brigade, Justin s responsibilities include making investment recommendations, executing trad.

Taschenbuch. Condición: Neu. Neuware - 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 informationwithout 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.…

Paperback. Condición: new. Paperback. 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" This practical guide teaches analysts a useful subset of Excel skills that will enable them to access and interpret financial informationwithout any prior programming experience. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Paperback. Condición: New. 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 screensCreate tables containing corporate data that makes it possible to compare multiple companies, bonds, or loans side-by- sideBuild 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 targetsBuild two-page portfolio summary report that contains a high-level view of the portfolio's performance, growth, risk-adjusted return, and compositionExplore daily prices and facility information for most of the tradable corporate bond and loan marketDetermine the relationship between two securities (or index) using correlation and regressionCompare each security's performance to a cohort made of up of securities with similar risk and return characteristicsMeasure portfolio risk-adjusted return by calculating variance, standard deviation, and Sharpe ratioUse Markit data to identify meaningful trends in prices, new issue spreads, and refinancings.…