Seedlabs

Proxy Contest Self-Interest Forecaster

A tool for companies to predict how shareholders will vote in corporate power struggles.

A corporate-governance tool that forecasts shareholder proxy votes by modeling each institutional investor as a rational, self-interested voter, management as the incumbent party, and activist campaigns as lobbyists — showing IR teams and activists which holders swing and which concessions flip them.

Economics, Econometrics and FinanceGame Theory and Voting Systems
AI Governance and Cognitive ImpactCorporate governance and shareholder-activism analytics

Concept

A SaaS forecasting tool for proxy contests and annual-meeting votes. The user loads the shareholder register and the proposal slate; the tool models each institutional holder as a rational voter pursuing its own goal — an indexer minimizing tracking risk, a stewardship-policy holder following its guidelines, a bank protecting fee relationships, an activist advancing a thesis — with management and the board as the incumbent 'party' whose goal is re-election and activist campaigns as 'lobbyists' spending resources to move votes. It outputs a forecast vote share for each proposal, identifies the swing holders whose goals are genuinely in play, and ranks which concessions (a board seat, a governance change, a capital-return commitment) flip which holders. One wedge: predict vote outcomes from modeled self-interest rather than from precedent or polling.

Why now

The new paper [0] demonstrates a model of voter and government behavior in which governments, parties, lobbyists, and voters each pursue explicit goals under a self-interest axiom and rationality. That actor-and-goal structure maps one-for-one onto a proxy contest — shareholders as voters, incumbents as the party seeking re-election, activists as lobbyists — giving the forecaster a principled basis for holder-level vote prediction instead of pattern-matching on past meetings. None of the existing catalog ideas [E0]–[E7] touch corporate governance or vote forecasting, so the same modeling insight opens an uncontested vertical.

Written by GLM · 8 Oct 2026

AI assessment

Backed by 1 paper75

A high-potential application of rational choice theory to a high-stakes financial niche, though it relies on a theoretical leap from general political science to specific institutional investor behavior.

Evidence strength
2/5
The research provides a general framework for democratic behavior, but there is a significant gap between a general theory of rationality and the specific, complex data required to model institutional investor motives.
Market pull
5/5
Proxy contests involve billions of dollars in stakes, and the named beneficiaries (activists and IR firms) have a high willingness to pay for any edge in vote prediction.
Novelty & moat
4/5
While the 'Self-Interest Election' idea uses the same theory for education, applying this specific rational-actor model to corporate governance is a novel and distinct commercial application.
Feasibility
3/5
Building the software is easy, but the 'secret sauce'—the data on individual holder goals and constraints—is difficult to acquire and quantify.
Wedge clarity
4/5
The focus on 'swing holders' and 'concession flipping' provides a sharp, actionable entry point for IR teams during a live contest.
Simplicity / focus
5/5
The idea is a single, focused tool with a clear input (shareholder register) and a clear output (vote forecast).

Scored by Gemma 4 · 8 Oct 2026. Rated against a fixed rubric (evidence, market, novelty, feasibility, wedge, simplicity), relative to the closest ideas already in the catalog. A prior estimate to compare ideas before real-world signal arrives.

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Who benefits

  • A proxy-solicitation firm retained in contested votes; a holder-level forecast of who will vote which way, and which concessions flip them, directly sharpens the vote-targeting calls it is paid to make.

  • Processes the majority of U.S. proxy votes and sells issuer analytics; a self-interest-based vote forecast is a natural premium analytics layer on top of its distribution rails.

  • Its research drives how institutional holders vote; modeling each holder's goals complements its recommendations with a prediction of what those holders will actually do.

  • An activist fund that wages proxy campaigns; knowing in advance which concessions flip which holders is directly actionable in settlement negotiations.

Research it builds on

  1. Ökonomische Theorie der Demokratie
    Anthony J. Downs · 2025 · 206 citations
    All ideas from this paper →
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feasibility