SS&C Intralinks Deal Flow Predictor

See the future. Make better deals. Now.

The SS&C Intralinks Deal Flow Predictor provides a six-month view of global and regional M&A activity as a wealth of actionable market intelligence. 

Along with our forecasts of M&A activity by region and sector, the latest issue of the SS&C Intralinks Deal Flow Predictor includes:

  • A spotlight on how environmental, social and governance (ESG) considerations are affecting dealmaking. 

  • An interview with Marianne Lewis, Dean and Professor of Management at the University of Cincinnati, Carl H. Lindner College of Business, on a new Intralinks research report, Gender Diversity and M&A Outcomes: How Female Board-Level Representation Affects Corporate Dealmaking, that presents unique new findings on how female board-level representation affects key measures of M&A success such as share price performance, growth, profitability, return on capital and shareholder value.

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About the Intralinks Deal Flow Predictor

Content highlights

  • Interactive predictions on global, regional and sector data
  • Featured spotlights on the most topical issues
  • Q&A with industry leaders
Cover of SS&C Intralinks Deal Flow Predictor Q2 2020

Accurate Prediction

The SS&C Intralinks Deal Flow Predictor has been independently verified as an accurate six-month forecast of future changes in the worldwide volume (number) of announced M&A transactions, as reported by Refinitiv. Refinitiv’s data on announced deal volumes for the past four quarters has been adjusted by Intralinks for expected subsequent changes in reported announced deal volumes in Refinitiv's database.

Find out how the Intralinks Virtual Data Room can help you get your deals done faster.

Related Resources

Our model

The SS&C Intralinks Deal Flow Predictor tracks global M&A sell-side mandates and deals reaching the due diligence phase prior to public announcement, providing a unique leading indicator of future global deal activity. The Intralinks Deal Flow Predictor is based on the company’s insight into a significant percentage of M&A transactions in their initial phases.
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Deal Flow Predictor model
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