Prometheus unbound

Professor Nicholas Onuf argued in the February 1984 issue of Futures that those participating in the revival of interest in long waves of economic activity had generally failed to relate their analyses to the debate on growth spawned by Limits to Growth. The challenge is taken up in this article, which relates the two debates in terms of the role of technology in long-term growth and cycles; changes in ‘technological paradigm’ are seen as a major feature of each successive growth cycle. The article finally discusses the effects of paradigm change on employment and investment, and confronts the central issue of Onuf's paper—the social and political effects of the micro-electronics revolution.     

Nonsynchronous Security Trading and Market Index Autocorrelation

The theoretical portfolio autocorrelation due solely to nonsynchronous trading is estimated from a derived model. This estimated level is found to be substantially less than that observed empirically. The theoretical and empirical relationship between portfolio size and autocorrelation also is investigated. The results of this study suggest that other price-adjustment delay factors in addition to nonsynchronous trading cause the high autocorrelations present in daily returns on stock index portfolios.     

A Theory of Stock Price Responses to Alternative Corporate Cash Disbursement Methods: Stock Repurchases and Dividends

This paper develops a model in which managers can signal their firms' true values by using either a dividend or a stock repurchase or both. The authors explain a number of stylized facts about these cash-disbursement mechanisms, particularly those concerning the relative magnitudes of stock price responses to dividends and repurchases. Most importantly, they explain why a stock repurchase elicits a significantly higher price response, on average, than a dividend announcement.     

Corporate Financial Policy,Information, and Market Expectations: An Empirical Investigation of Dividends

This paper documents a relationship between announcements of unexpected changes in financial policy and unexpected changes in performance of the firm. Using a new methodology that combines analysis of stock price movements and earnings forecast data, the authors provide evidence that analysts revise their earnings forecasts following the announcement of an unexpected dividend change by an amount positively related to the size of the unexpected dividend change. They also provide evidence that these revisions are positively related to the change in equity value surrounding the announcement. Further, they find that these revisions are consistent with rationality. Their results therefore provide direct evidence consistent with the hypothesis that unexpected dividend changes signal information about firm performance to market participants.     

Linear versus process tracing approaches to judgment modelling: A new perspective on cue importance

For a bankruptcy prediction problem, the judgment formation process is studied using linear models and process tracing models. The linear models are constructed using traditional linear discriminant analysis techniques. The process tracing models are constructed using computer-generated algorithmically-based decision nets. All the models presented show good predictive accuracy. However, the linear models and process tracing models diverge widely on several measures of cue importance. This divergence, for a fairly straightforward problem, is intriguing since virtually all the evidence in the accounting literature about cue importance is based on linear models research. The importance of different information cues to decision-makers is clearly a critical issue in the design of effective accounting information systems. Thus, this study suggests the need for much more careful attention to the complex question of assessing cue importance.     

Frothy Housing Markets and Local Stock-Price Movements

Prior empirical research finds habitat effects manifest in stock pricing among firms that share headquarters cities. We empirically investigate whether trends in residential real estate prices affect headquarters-city stock pricing phenomena for companies across U.S. metro areas for 1989?C2004. Specifically, we hypothesize that stocks of firms headquartered in ??hot?? residential real estate markets experience higher returns compared to stocks of firms from ??cold?? markets. We also hypothesize that stocks of firms headquartered in hot real estate markets display stronger return comovement with same-city stocks. We find support for these hypotheses during the 1999?C2004 sample period which coincides with the start of the housing bubble of the 2000?s; we find mixed results in earlier periods. Our findings indicate that city-specific home price patterns conditionally affect stock pricing of local firms, suggesting that investor behavior is influenced by localized shocks to household real estate wealth.