About 2,160 results
Open links in new tab
  1. NEW PitchBook data - WRDS

    Supporting over 75,000 commercial, academic, and government users at 500+ institutions in 37 countries, Wharton Research Data Services (WRDS) is the global gold standard in data …

  2. Linking ISS with Compustat - WRDS

    Supporting over 75,000 commercial, academic, and government users at 500+ institutions in 37 countries, Wharton Research Data Services (WRDS) is the global gold standard in data …

  3. Wharton Research Data Services - WRDS

    Compustat Execucomp is introduced, with a discussion of the: Data, including details about coverage, where the data is sourced from, and the different datasets that make up Execucomp …

  4. WRDS adds PitchBook private equity data to its offerings

    Analyze 3+ million companies, 1.6 million deals, and more than 300,000 investors Philadelphia, PA (Businesswire) — Wharton Research Data Services (WRDS), the leading data research …

  5. wrds_momentum_demo

    0. Import Relevant Packages ¶ WRDS package for connecting to WRDS server and query data Pandas, Numpy, etc Matplotlib for charting

  6. Apr 20, 2020 · Calculating the Market Value of a FirmMarket value of equity as of the December end of any given fiscal year can be obtained as a product of the close market price at the …

  7. Market to Book Ratios - Macro - WRDS

    Supporting over 75,000 commercial, academic, and government users at 500+ institutions in 37 countries, Wharton Research Data Services (WRDS) is the global gold standard in data …

  8. We used Compustat XpressFeed (annual data) as the source of historical accounting data in order to calculate the value of Book Equity. Different from quarterly data, annual data is …

  9. NEW PitchBook data — Analyze Private Company Investment Lifecycles

    Supporting over 75,000 commercial, academic, and government users at 500+ institutions in 37 countries, Wharton Research Data Services (WRDS) is the global gold standard in data …

  10. SASPy_demo_basic_functions - WRDS

    import wrds import saspy from IPython.display import HTML import pandas as pd import datetime