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Scraping historical financial accounting data from Compustat to build accurate earnings prediction models

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Web Scraping | Financial Analysis | NLP Topic Modeling | Sentiment & Readability Analysis

Developing research-based earnings forecasting models using data scraped from Compustat, IBES & WRDS.

The end goal is to identify 3 high growth potential stocks, on the basis of the least biased and most accurate earnings prediction model.

The following features were extracted/engineered:

  • earnings indicators
  • accruals (control for earnings quality)
  • total assets (control for size)
  • income/balance sheet variables
  • lagged variables
  • Text-based features extracted from MD&A section

I also leveraged research-based models such as:

  • HVZ
  • Residual Income
  • Earnings Persistence

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Scraping historical financial accounting data from Compustat to build accurate earnings prediction models

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