A community's culture is defined by the preferences and equilibrium behaviours of its members. Contacts among communities alter individual cultures through two interrelated mechanisms: behavioural adaptations driven by pay-offs to coordination, and preference changes shaped by socialization and self-persuasion. This paper explores the workings of these mechanisms through a model of cultural integration in which preferences and behaviours vary continuously. It identifies a broad set of conditions under which cross-cultural contacts promote cultural hybridization. The analysis suggests that policies to support social integration serve to homogenize preferences across communities, thereby undermining a key objective of multiculturalism. Yielding fresh insights into strategies pursued to influence cultural trends, it also shows that communities benefit from having other communities adjust their behaviours.

We solve a model with two i.i.d. Lucas trees. Although the corresponding one-tree model produces a constant price-dividend ratio and i.i.d. returns, the two-tree model produces interesting asset-pricing dynamics. Investors want to rebalance their portfolios after any change in value. Because the size of the trees is fixed, prices must adjust to offset this desire. As a result, expected returns, excess returns, and return volatility all vary through time. Returns display serial correlation and are predictable from price-dividend ratios. Return volatility differs from cash-flow volatility, and return shocks can occur without news about cash flows.

We examine whether application of International Accounting Standards (IAS) is associated with higher accounting quality. The application of IAS reflects combined effects of features of the financial reporting system, including standards, their interpretation, enforcement, and litigation. We find that firms applying IAS from 21 countries generally evidence less earnings management, more timely loss recognition, and more value relevance of accounting amounts than do matched sample firms applying non‐U.S. domestic standards. Differences in accounting quality between the two groups of firms in the period before the IAS firms adopt IAS do not account for the postadoption differences. Firms applying IAS generally evidence an improvement in accounting quality between the pre‐ and postadoption periods. Although we cannot be sure our findings are attributable to the change in the financial reporting system rather than to changes in firms' incentives and the economic environment, we include research design features to mitigate effects of both.

The conventional heteroskedasticity-robust (HR) variance matrix estimator for cross-sectional regression (with or without a degrees-of-freedom adjustment), applied to the fixed-effects estimator for panel data with serially uncorrelated errors, is inconsistent if the number of time periods T is fixed (and greater than 2) as the number of entities n increases. We provide a bias-adjusted HR estimator that is √nT-consistent under any sequences (n T ) in which n and/or T increase to ∞. This estimator can be extended to handle serial correlation of fixed order.

Charles Tiebout's suggestion that people “vote with their feet” for communities with optimal bundles of taxes and public goods has played a central role in local public finance for over 50 years. Using a locational equilibrium model, we derive formal tests of his premise. The model predicts increased population density in neighborhoods experiencing exogenous improvements in public goods and, for large improvements, increased relative mean incomes. We test these hypotheses in the context of changing air quality. Our results provide strong empirical support for the notion that households “vote with their feet” for environmental quality.

We examine the association between chief executive officer (CEO) reputation (proxied by the extent of press coverage) and the quality of the firm's earnings (proxied by two accruals-based measures). We test three explanations for an association between these constructs: the efficient contracting hypothesis suggests that reputed CEOs are associated with good earnings quality, while the rent extraction and matching explanations argue that reputed CEOs are associated with poor earnings quality. Using a simultaneous equations system to capture the endogeneity of the constructs, we find (consistent with the rent extraction and matching arguments) that more reputed CEOs are associated with poorer earnings quality than are less reputed CEOs. Further tests find little support for the rent extraction hypothesis. We conclude that the reason more reputed CEOs are associated with poor earnings quality firms is that such firms require more talented managers and, therefore, employ more reputed CEOs. © CAAA.

We posit that screening IPOs requires specialized labor which is in fixed supply. A sudden increase in demand for IPO financing increases the compensation of IPO screening labor. This results in reduced screening, encouraging sub-marginal firms to enter the IPO market, further fueling the demand for screening labor. The model's conclusions are consistent with empirical findings of increased underpricing during hot markets, positive correlation between issue volume and underpricing, and with tipping points between hot and cold markets. Finally, the model makes sharp predictions relating the IPO market to fundamental values of firms and to investment banking returns.

Traditional U.S. industries with higher firm-specific stock return and fundamentals performance heterogeneity use information technology (IT) more intensively and post faster productivity growth in the late 20th century. We argue that this mechanically reflects a wave of Schumpeter's creative destruction disrupting a wide swath of industries, with successful IT adopters unpredictably undermining established firms. This validates endogenous growth theory models of creative destruction and suggests intensified creative destruction as explaining findings associating greater firm-specific performance variation with higher per capita GDPs, economy growth rates, accounting standards, financial system development, and property right protection.

Regulation Fair Disclosure (FD), imposed by the Securities and Exchange Commission in October 2000, was designed to prohibit disclosure of material private information to selected market participants. The informational advantage such select participants gain is unclear. If multiple “insiders” receive identical information, private information is immediately incorporated in price and each insider has zero expected profit. If, on the other hand, Regulation FD has curtailed the flow of information from firms, private information becomes longer‐lived and more valuable. Hence, market makers will demand increased compensation by widening the adverse selection component of the bid‐ask spread. We identify the cost components of the bid‐ask spread for a sample of NASDAQ stocks surrounding the implementation of Regulation FD. Controlling for other factors affecting the spread, we find that adverse selection costs increase approximately 36% after Regulation FD. We interpret our finding as Regulation FD failing to achieve one of its desired objectives.

In this paper we estimate, for several investment horizons, minimum capital risk requirements for short and long positions, using the unconditional distribution of three daily indexes futures returns and a set of short and long memory stochastic volatility and GARCH-type models. We consider the possibility that errors follow a t-Student distribution in order to capture the kurtosis of the returns’ series. The results suggest that accurate modelling of extreme observations obtained for long and short trading investment positions is possible with an autoregressive stochastic volatility model. Moreover, modelling futures returns with a long memory stochastic volatility model produces, in general, excessive volatility persistence, and consequently, leads to large minimum capital risk requirement estimates. Finally, the models’ predictive ability is assessed with the help of out-of-sample conditional tests.