Git Product home page Git Product logo

sdc-to-compustat-mapping's Introduction

Description

Connecting SDC's M&A database to Compustat requires gvkey's for both the acquirer and target (if they are traded/public). Gordon Phillips and Alexei Zhdanov (RFS, 2013) created the first major mapping between firms in SDC and Compustat using a combination of name and date matching. Gaps where filled in using this website that replicates the gvkey search in WRDS. The data was used in Ewens, Peters and Wang (2018). Either myself or a research assistant searched all M&As deals from 1996-2016 that did not have a gvkey in the Phillips and Zhdanov data, comparing names and dates by hand.

Data

The data connecting SDC deal number to gvkeys is in csv form with the following structure:

(DealNumber, tgvkey, agvkey)

where

  • DealNumber: SDC identifier for deals.
  • agvkey: the acquirer gvkey (can be missing)
  • tgvkey: the target gvkey (can be missing)

Note that this includes all deals where we could find a gvkey for either the acquirer or target. Basic statistics as of Nov. 20th, 2018:

  • 100,454 deals with agvkey
  • 50,248 deals with tgveky
  • 22,259 with both agvkey and tgveky

Company-level match using CUSIP

The second file was built by taking all the SDC name-CUSIP pairs without a match in the main repo's mapping (above) and comparing them to all Compustat-GVKEY pairs. The match is then done on SDC names-Compustat names. Note that this is a time-invariant mapping based entirely on company names (so there can be multiple SDC CUSIPs to one Compustat GVKEY as a company changes its CUSIP over time). From Daniel Yang (Ohio State).

Updates

Stay tuned (i.e., watch or star this repo.) for updates. Any errors or fill-ins, please email [email protected].

Citations

@article{phillips2013r,
  title={R\&D and the Incentives from Merger and Acquisition Activity},
  author={Phillips, Gordon M and Zhdanov, Alexei},
  journal={The Review of Financial Studies},
  volume={26},
  number={1},
  pages={34--78},
  year={2013},
  publisher={Society for Financial Studies}
  }

and

@article{ewensPetersWang2018,
 title={Acquisition prices and the measurement of intangible capital},
 author={Ewens, Michael and Peters, Ryan and Wang, Sean},
 journal={Working Paper}
 year={2018}
 }

sdc-to-compustat-mapping's People

Contributors

michaelewens avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.