New Venture Opportunity Cost of Capital and Financial Contracting

Investments in new ventures involve financial contracts between an entrepreneur and outside investors. Investors, such as venture capital firms, represent well-diversified investors. In contrast, the entrepreneur must commit a substantial fraction of human and financial capital to the venture. Consequently, the entrepreneur's required rate of return depends on total risk, in the context of the entrepreneur’s other assets. In this paper, we use the Capital Asset Pricing Model as an approximation of the asset pricing model used by well-diversified investors. Accordingly, the entrepreneur faces the risk-return tradeoff of the CAPM as the opportunity cost of holding an under-diversified portfolio that includes investment in the venture. We model the required rate of return of the entrepreneur, assuming investment in the venture is one of two assets in the portfolio and that the other is the market portfolio. We explore opportunities for value creation when the parties to a financial contract have different costs of bearing risk. We also present empirical data on factors relevant to new venture cost of capital estimation.

Are NBA Fans Becoming Indifferent to Race? Evidence from the 1990s

Previous studies, using data from the 1980s, found that racial composition of NBA teams is positively correlated with racial composition of the metropolitan markets in which the teams are located. Researchers have interpreted this evidence as consistent with a "customer discrimination" hypothesis. We reconsider this hypothesis by examining evidence from the 1990s and generate three principal findings. First, based on player performance statistics, we find no evidence of discrimination at the league level--that is, the best players appear to be playing in the league regardless of race. Second, players, categorized by race, are not randomly distributed across teams. Instead, the relationship between team racial composition and metropolitan area racial composition, while weaker than in the 1980s, persists in the NBA in the 1990s. Hence, teams located in areas with greater concentration of white population may find it revenue enhancing to cater to customer demand for viewing teams that include white players. Our third finding, based on revenue from home game attendance, is that as the number of white players declined significantly over the decade, the revenue product of a white player increased on the margin. This effect appears to be more pronounced for teams located in cities with larger white populations. We also find evidence that, in recent years, the top-performing white players in the NBA tend to locate in cities with larger white populations, suggesting that teams in these cities place a higher marginal value on such players.Customer Discrimination; Race; Sports; National Basketball Association

The SEC's "Fair Value" Standard for Mutual Fund Investment in Restricted Shares and Other Illiquid Securities

Mutual funds generally do not invest in venture capital, private equity, or restricted shares of public companies. Consequently, individuals who desire to invest in such securities are unable to do so through diversified mutual funds. In this paper, we identify public policies and regulations that discourage mutual fund involvement in the markets for illiquid equity. We also present evidence that changes in SEC policy caused mutual funds to retreat from investing in illiquid equity. Under the Investment Company Act of l940, the SEC requires mutual fund boards to determine and report the “fair value” of their investments in restricted shares and other illiquid equity claims. The SEC interprets fair value to mean value in current sale. Under the Investment Company Act, fair value reporting is a “certification” standard that presumes investors rely on the value representations of the fund board and its auditors. We consider whether alternatives to certification and current sale valuation could reduce barriers to mutual fund investment, without exposing individuals who invest in mutual funds to excessive risk or potential manipulation. To assess the effects of public policies, we analyze recent efforts of the SEC to apply the fair-value standard and examine court decisions arising from subsequent litigation. We also analyze the financial economics literature concerning discounts for illiquidity and the implications for valuing restricted shares. The paper concludes with a discussion of policy alternatives, including allowing funds to rely more on “transparency” in lieu of certification and allowing funds more latitude in determining and reporting the values of their illiquid securities.

A symptotic Bias for GMM and GEL Estimators with Estimated Nuisance Parameter

This papers studies and compares the asymptotic bias of GMM and generalized empirical likelihood (GEL) estimators in the presence of estimated nuisance parameters. We consider cases in which the nuisance parameter is estimated from independent and identical samples. A simulation experiment is conducted for covariance structure models. Empirical likelihood offers much reduced mean and median bias, root mean squared error and mean absolute error, as compared with two-step GMM and other GEL methods. Both analytical and bootstrap bias-adjusted two-step GMM estima-tors are compared. Analytical bias-adjustment appears to be a serious competitor to bootstrap methods in terms of finite sample bias, root mean squared error and mean absolute error. Finite sample variance seems to be little affected

Not A Success—But a Triumph: 80 Years Since Kitty Hawk

In 1908 aviation was less a science than a hope, it had more aspects of an expensive sport than any relationship to practical engineering. Nevertheless, there was a widespread conviction that mechanical flight was like a sun loitering beneath the horizon—dawn was inevitable—but when

Asymptotic bias for GMM and GEL estimators with estimated nuisance parameters

This papers studies and compares the asymptotic bias of GMM and generalized empirical likelihood (GEL) estimators in the presence of estimated nuisance parameters. We consider cases in which the nuisance parameter is estimated from independent and identical samples. A simulation experiment is conducted for covariance structure models. Empirical likelihood offers much reduced mean and median bias, root mean squared error and mean absolute error, as compared with two-step GMM and other GEL methods. Both analytical and bootstrap bias-adjusted two-step GMM estimators are compared. Analytical bias-adjustment appears to be a serious competitor to bootstrap methods in terms of finite sample bias, root mean squared error and mean absolute error. Finite sample variance seems to be little affected.