Mergers and acquisitions occur frequently and are subject to extensive negotiation and governmental clearance procedures. This course will show you how patent data has been used to compare pre- and post-merger competition prior to actual mergers and estimate how future knowledge flows, how their interdependencies and innovation incentives are shaped and how you can conduct these analyses to support clients or decision-makers while drafting feasible merger plans.
Content
- Introduction to mergers and acquisitions
- Introduction to patent-based knowledge flow analytics, and tagging
- Merger analytics (position comparison pre- and post-merger) and merger clearance best practices
- Advanced analyses on technological fit and inter-firm technological dependence
Learning Objectives
- Learn how to assess, in advance, the effects of mergers and acquisitions on industries, based on data-driven analytics
- Learn to assess yours, or your clients', patents’ balance of power versus competitors by assessing opportunities and threats
- Learn how to support your clients in merger clearance or antitrust decisions relying on patent data
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Price and Series Offer
Price for single session per person: $ 300/ € 270
- 4 sessions booked together: 1000 USD (save $200/person)
- 5 sessions booked together: 1100 USD (save $400/person)
- All 6 sessions booked together: 1200 USD (save $600/person)
Complete list of sessions in this series
