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  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 Compensation …

  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 platform and …

  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 calendar year end …

  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 unrestated (ideal for …

  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