Knowledge that Transforms

This paper examines how a shock to collateral value influences firms’ debt capacities and investments. Using a source of exogenous variation in collateral value provided by the land market collapse in Japan, I find that collateral has a statistically and economically significant impact on corporate investments. I also provide direct evidence on the workings of such a collateral channel. Exploiting a unique dataset of matched bank-firm lending, I show that firms with greater collateral losses are less likely to sustain their banking relationships and tend to obtain a smaller amount of bank credit.

We analyze the dynamics of the S&P 500 futures price, finding both short- and long-run effects of order flow on price. While price moves strongly with the order flow in the short-run, the long-run impact is slightly negative, attributable to costly slippage from a hedging propensity in futures markets. We find strong evidence of a state dependence in the relation between price and order flow, using both volume and floor trader income measures as states. We also find that both the long- and short-run impacts of order flow are greater when dealer income is higher.

The behavioral finance literature cites the frozen concentrated orange juice (FCOJ) futures market as a prominent example of the failure of prices to reflect fundamentals. In contrast, we show that when theory clearly identifies the fundamental, e.g., at temperatures close to or below freezing, a close link exists between FCOJ prices and that fundamental. Using a simple, theoretically motivated, nonlinear, state dependent model, we can explain approximately 50% of the return variation on days with freezing temperatures. Moreover, while these observations represent less than 4.5% of the winter sample, they account for two-thirds of the entire winter return variability.

This paper develops and tests a model of how country characteristics, such as legal protections for minority investors and the level of economic and financial development, influence firms’ costs and benefits in implementing measures to improve their own governance and transparency. We find that country characteristics explain much more of the variance in governance ratings (ranging from 39% to 73%) than observable firm characteristics (ranging from 4% to 22%). Further, we show that firm characteristics explain almost none of the variation in governance ratings in less-developed countries and that access to global capital markets sharpens firms’ incentives for better governance.

We examine a sample of 459 firms filing for Chapter 11 during the period 1991–1998 and find that our sample firms experience significant improvements in their operating performance during Chapter 11. Our evidence is consistent with the hypothesis that Chapter 11, if anything, provides net benefits to bankrupt firms. In the cross section, firms with higher debt ratios experience greater improvements in operating performance, and the complexity of the renegotiation process negatively affects the improvement. We find no relationship between Chapter 11 outcome and changes in risk-adjusted firm value in Chapter 11.

Underwriters using bookbuilding can allocate shares of initial public offerings (IPOs) on the basis of, among other things, commissions paid by investors. In testing the hypothesis that investors trade liquid stocks in order to affect their IPO allocations, we find that money left on the table by IPOs is related to the trading volume of the 50 most liquid stocks near the offer date. For an IPO that leaves $1 billion on the table, there is abnormal volume of 2.7% to 4.1% in the 50 most liquid stocks over the six days ending on the day that trading commences in that IPO, although only during the internet bubble period is this volume increase statistically significant.

The corporate charters of a sample of Mexican firms show that private firms often significantly enhance the legal protection offered to investors, but public firms rarely do so. We construct a model that endogenizes the degree of investor protection that firms provide, using as a springboard the assumption that legal regimes differ in their ability to enforce precisely filtering contracts that provide protection only in those cases where expropriation can occur. Our model generates predictions about the types of contracts that would be employed and the levels of investor protection that would prevail across different legal regimes in both private and public firms.

This paper documents average acquisition discounts for stand-alone private firms and subsidiaries of other firms (unlisted targets) of 15% to 30% relative to acquisition multiples for comparable publicly traded targets. My results are strongly consistent with the notion that sale prices for unlisted targets are affected by both the need for, and availability of, the liquidity provided by the buyer. Corporate parents are significantly liquidity-constrained prior to the sale of a subsidiary, particularly when the subsidiary is being sold for cash. Furthermore, acquisition discounts are significantly greater when debt capital is relatively more expensive to obtain, and when the parent firm has below-market stock returns in the 12 months prior to the sale.

The exposition of the quadrature (QUAD) method (Andricopoulos, Widdicks, Duck, and Newton, 2003. Universal option valuation using quadrature methods. Journal of Financial Economics 67, 447–471 (see also Corrigendum, Journal of Financial Economics 73, 603 (2004)) is significantly extended to cover notably more complex and difficult problems in option valuations involving one or more underlyings. Trials comparing several techniques in the literature, adapted from standard lattice, grid and Monte Carlo methods to tackle particular types of problem, show that QUAD offers far greater flexibility, superior convergence, and hence, increased accuracy and considerably reduced computational times. The speed advantage of QUAD means that, even under the curse of dimensionality, it is not necessary to resort to Monte Carlo methods (certainly for options involving up to five underlying assets). Given the universality and flexibility of the method, it should be the method of choice for pricing options involving multiple underlying assets, in the presence of many features, such as early exercise or path dependency.

This paper empirically investigates the effect of “informed finance” on technological change. The theoretical literature offers conflicting predictions on whether the information of financiers fosters or inhibits firms’ innovation. Using data from a sample of Italian manufacturing firms, we find that the information of firms’ main banks, proxied by the duration of credit relationships, promotes innovation. This positive effect is economically and statistically more significant for product than for process innovations. Nonetheless, the role of relationship banks in innovation is quite unsophisticated: they do not foster internal research but rather fund the relevant investments that the introduction and acquisition of new technologies entails.