Academic Research for Venture Capital

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

A machine learning-driven decision support system for startup investments using entropy-based adaptive loss with sample weighting

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

Price Determination in Public Offering and Evaluation Methods

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

Creditor control rights and corporate social responsibility: evidence from covenant violations

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

Founder human capital under institutional heterogeneity: category-based evaluation in emerging market financing

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

Regime vs. shock: A machine learning approach to the market timing puzzle

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

Herding behaviour of institutional investors: Evidence from an emerging market

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

Do angels come to stay: Examining the investment model in business angels reinvestment intentions

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

Opening the Black Box of the Venture Capital-Entrepreneur Relationship