We develop and implement a technique for closed-form maximum likelihood estimation (MLE) of multifactor affine yield models. We derive closed-form approximations to likelihoods for nine Dai and Singleton (2000) affine models. Simulations show our technique very accurately approximates true (but infeasible) MLE. Using US Treasury data, we estimate nine affine yield models with different market price of risk specifications. MLE allows non-nested model comparison using likelihood ratio tests; the preferred model depends on the market price of risk. Estimation with simulated and real data suggests our technique is much closer to true MLE than Euler and quasi-maximum likelihood (QML) methods.

We analyze the impact of sovereign wealth fund (SWF) investments on firm values and provide evidence consistent with the tradeoff between the monitoring and lobbying benefits versus tunneling and expropriation costs of SWFs as blockholders. The data show significant positive (negative) returns to announcements of SWF investments (divestments). The returns are non-monotonic, first rising (falling) and then falling (rising) with the share sought (sold) for investments (divestments). Moreover, we find that SWFs are often active investors. Slightly more than half of the target firms experience one or more events indicative of SWF monitoring activity or influence.

Between 1999 and 2007, WR Hambrecht completed 19 initial public offerings (IPOs) in the US using an auction mechanism. We analyze investor behavior and mechanism performance in these auctioned IPOs using detailed bidding data. The existence of some bids posted at high prices suggests that some investors (mostly retail) try to free-ride on the mechanism. But institutional demand in these auctions is very elastic, suggesting that institutional investors reveal information in the bidding process. Investor participation is largely predictable based on deal size, and demand is dominated by institutions. Flipping is at most as prevalent in auctions as in bookbuilt deals. But, unlike in bookbuilding, investors in auctions do not flip their shares more in “hot” deals. Finally, we find that institutional investors, who provide more information, are rewarded by obtaining a larger share of the deals that have higher 10-day underpricing. Our results therefore suggest that auctioned IPOs can be an effective alternative to traditional bookbuilding.