Risk and Return in Accelerator-Backed Ventures: A Cross-Sectional Analysis of MOIC by Industry Vertical and Founder Demographics

Startup accelerators have become a central mechanism in early-stage entrepreneurial finance, yet little empirical evidence exists on how the risk-return profile of accelerator-backed ventures varies across industry verticals and founder demographics. This study uses a proprietary panel dataset of 485 startups from a European startup accelerator, tracking Multiple on Invested Capital (MOIC), quarterly headcount, capital invested, and post-money valuation alongside founder gender composition and founder team size. We construct risk-adjusted return measures by combining realized MOIC with headcount growth volatility as a proxy for operational risk, and examine how these measures differ across founder team composition and industry vertical. Grounded in the Resource-Based View and Signaling Theory, we test whether founder gender composition is associated with differences in realized returns, and whether these differences reflect underlying operational risk or a valuation/allocation gap. Our results show that ventures with at least one female founder earn significantly lower average MOIC than all-male-founded ventures (a gap of roughly 20% in log terms, p = 0.021), yet show no significant difference in failure rates or in headcount volatility—and median MOIC is identical (1.0×) across both groups. This pattern suggests the gap is concentrated in the right tail of outcomes (large “home-run” exits) rather than in typical-case performance or operational risk, echoing prior evidence of a valuation gap that is not explained by fundamentals. We contribute one of the first vertical- and demographic-disaggregated risk-return analyses using accelerator-level panel data, with implications for investors, accelerator program design, and policy on capital allocation in early-stage venture ecosystems.