Academic Research for Venture Capital

Research on how AI, prediction systems, and decision frameworks reshape sourcing, screening, and judgment in venture investing.

AI Exposure and AI Resilience: A Two-Dimensional Assessment Framework for Software and Software-Based Business Model

Research on IPOs, acquisitions, and liquidity outcomes, showing how timing, markets, and company fundamentals shape venture-backed exits.

Artificial intelligence disclosures and IPO underpricing

Research on term sheets, staged financing, ownership, and control rights, explaining how venture deals balance incentives, risk, and upside.

Staged financing beyond the venture record: Equity rounds in the accounts of Italian SMEs

Research on founders, teams, and human capital, examining how experience, incentives, and relationships influence company building and investment decisions.

Work-in-Progress: Human Capital Formation as a Framework for Entrepreneurship and Venture Design Education

Research on funding booms, downturns, valuations, and returns, showing how changing market conditions shape venture behavior and performance.

A Fisher-consistent measure of real interest rates from inflation fixing swaps

Research on limited partners, fund allocation, and performance measurement, showing how capital providers influence venture strategy and fund formation.

Self-interest first? Limited partnership agreement structure and corporate resilience

Research on angel investors, early-stage screening, and founder signals, highlighting how the earliest startup capital gets allocated and supported.

Choosing Startup Investors: Does Gender Matter?

Core research on how venture firms raise funds, select startups, structure investments, monitor companies, and ultimately generate returns.

EXPRESS: Platform Complementors' Diversification Strategies and the Role of Venture Capital