Mutual fund families set and report values of their private startup holdings, which affect the fund net asset value (NAV) at which investors buy/sell fund shares. We test three hypotheses related to the valuation practice: (i) information cost/access, (ii) litigation risk, and (iii) strategic NAV management. Consistent with (i), families with larger PE holdings and/or stronger information access update valuations more frequently in the absence of public information releases, their updates co-move less with other families, and their fund returns jump less at follow-on financings. We find no support for hypotheses (ii) or (iii). We also find that high-PE-exposure funds are subject to greater financial fragility.

This paper develops a comprehensive framework to address uncertainty about the correct factor model. Asset pricing inferences draw on a composite model that integrates over competing factor models weighted by posterior probabilities. Evidence shows that unconditional models record near‐zero probabilities, while postearnings announcement drift, quality‐minus‐junk, and intermediary capital are potent factors in conditional asset pricing. Out‐of‐sample, the integrated model performs well, tilting away from subsequently underperforming factors. Model uncertainty makes equities appear considerably riskier, while model disagreement about expected returns spikes during crash episodes. Disagreement spans all return components involving mispricing, factor loadings, and risk premia.