Knowledge that Transforms

Using a cross section of effectively the entire universe of overseas listings across world markets, we examine the market preferences of firms listing their stock abroad. We find that geographic, economic, cultural, and industrial proximity play the dominant role in the choice of overseas listing venue. Contrary to the notion that firms maximize international portfolio diversification gains in listing abroad, cross-listing activity is more common across markets for which diversification gains are relatively low. Our findings imply that the same proximity constraints that are believed to lead to “home bias” in investment portfolio decisions also exert a profound influence on financing decisions.

While IPOs have been underpriced by more than 10% during the past two decades, we find that in a sample of more than 2, 000 IPOs from 1980 to 1997, the median IPO was significantly overvalued at the offer price relative to valuations based on industry peer price multiples. This overvaluation ranges from 14% to 50% depending on the peer matching criteria. Cross-sectional regressions show that "overvalued" IPOs provide high first-day returns, but low long-run risk-adjusted returns. These overvalued IPOs have lower profitability, higher accruals, and higher analyst growth forecasts than "undervalued" IPOs. Ex post, the projected high growth of overvalued IPOs fails to materialize, while their profitability declines from pre-IPO levels. These results suggest IPO investors are deceived by optimistic growth forecasts and pay insufficient attention to profitability in valuing IPOs. Copyright 2004, Oxford University Press.

This article presents a general framework for identifying and modeling the joint-tail distribution based on multivariate extreme value theories. We argue that the multivariate approach is the most efficient and effective way to study extreme events such as systemic risk and crisis. We show, using returns on five major stock indices, that the use of traditional dependence measures could lead to inaccurate portfolio risk assessment. We explain how the framework proposed here could be exploited in a number of finance applications such as portfolio selection, risk management, Sharpe ratio targeting, hedging, option valuation, and credit risk analysis.

I present a new approach to the dynamic portfolio and consumption problem of an investor who worries about model uncertainty (in addition to market risk) and seeks robust decisions along the lines of Anderson, Hansen, and Sargent (2002). In accordance with max-min expected utility, a robust investor insures against some endogenous worst case. I first show that robustness dramatically decreases the demand for equities and is observationally equivalent to recursive preferences when removing wealth effects. Unlike standard recursive preferences, however, robustness leads to environment-specific “effective” risk aversion. As an extension, I present a closed-form solution for the portfolio problem of a robust Duffie-Epstein-Zin investor. Finally, robustness increases the equilibrium equity premium and lowers the risk-free rate. Reasonable parameters generate a 4% to 6% equity premium.

We provide empirical evidence that a firm's overall visibility with investors, as measured by its product market advertising, has important consequences for the stock market. Specifically we show that firms with greater advertising expenditures, ceteris paribus, have a larger number of both individual and institutional investors, and better liquidity of their common stock. Our findings are robust to a variety of methodological approaches and to various measures of liquidity. These results suggest that the investors' degree of familiarity with a firm may affect its cost of capital and consequently its value. Copyright 2004, Oxford University Press.

This article empirically tests five structural models of corporate bond pricing: those of Merton (1974), Geske (1977), Longstaff and Schwartz (1995), Leland and Toft (1996), and Collin-Dufresne and Goldstein (2001). We implement the models using a sample of 182 bond prices from firms with simple capital structures during the period 1986--1997. The conventional wisdom is that structural models do not generate spreads as high as those seen in the bond market, and true to expectations, we find that the predicted spreads in our implementation of the Merton model are too low. However, most of the other structural models predict spreads that are too high on average. Nevertheless, accuracy is a problem, as the newer models tend to severely overstate the credit risk of firms with high leverage or volatility and yet suffer from a spread underprediction problem with safer bonds. The Leland and Toft model is an exception in that it overpredicts spreads on most bonds, particularly those with high coupons. More accurate structural models must avoid features that increase the credit risk on the riskier bonds while scarcely affecting the spreads of the safest bonds. Copyright 2004, Oxford University Press.

Institutional investors' demand for a security this quarter is positively correlated with their demand for the security last quarter. We attribute this to institutional investors following each other into and out of the same securities ("herding") and institutional investors following their own lag trades. Although institutional investors are "momentum" traders, little of their herding results from momentum trading. Moreover, institutional demand is more strongly related to lag institutional demand than lag returns. Results are most consistent with the hypothesis that institutions herd as a result of inferring information from each other's trades. Copyright 2004, Oxford University Press.

This article characterizes the systematic risk exposures of hedge funds using buy-and-hold and option-based strategies. Our results show that a large number of equity-oriented hedge fund strategies exhibit payoffs resembling a short position in a put option on the market index and therefore bear significant left-tail risk, risk that is ignored by the commonly used mean-variance framework. Using a mean-conditional value-at-risk framework, we demonstrate the extent to which the mean-variance framework underestimates the tail risk. Finally, working with the systematic risk exposures of hedge funds, we show that their recent performance appears significantly better than their long-run performance.

We examine the extent to which a fund's cash flows are affected by the stellar performance of other funds in its family–and consequences of such spillovers. We show that star performance results in greater cash inflow to the fund and to other funds in its family. Moreover, families with higher variation in invetment strategies across funds are shown to be more likely to generate star performance. We argue that spillovers may induce lower ability families to pursue star-creating strategies. Consistent with our conjecture, families with high variation in investment strategies across funds significantly underperform low-variation families.

We examine Japan's 1997 introduction of book building as an alternative to a previously required hybrid auction method. Despite higher cost for some issuers, all issuers in Japan now select book building. Book building enables more accurate valuation of firms, but gains from accurate valuation are partly redistributive. Thus book building can drive auction-method offerings from the market even if it yields no aggregate benefit. Compared to the auction regime, book building reduces issue costs for large issuers. Auctioning is less costly for small issuers, but appears to foreclose some small firms from issuing. The aggregate costs of book building and auctioning are similar.