Organizational structure and earnings quality of private and public firms

Review of Accounting Studies - We examine how heterogeneity in organizational structure affects private firm earnings quality in the European Union. Organizational structure refers to whether the...     

Easing the assessment of emerging technologies in technology observatories. Findings about patterns of dissemination of emerging technologies on the internet

This paper considers the Web as a big data container that can be used by Technology Observatories and administrations to track emerging issues and more specifically emerging technologies. It considers information that is available on the Internet for free from different sources, and proposes a framework that can be useful to characterise them and to detect patterns of dissemination. This framework is made up of 30 metrics obtained from different kinds of sources (general web, patents, scholars?…). Some of them are obtained directly as the number of hits retrieved by queries on a search engine, and other ones calculated by means of ratios. This paper contains the development of a complete case that utilises this framework to characterise emerging technologies included in the well-known Hype Cycle for Emerging Technologies, in this case the 2015 release¹ and to analyze patterns of dissemination of these technologies on the Internet.     

It is not a flat world after all: Tax repatriation costs and cash value

US corporations have accumulated record‐high amounts of cash, and most of it is trapped in foreign accounts. This study tests the hypothesis that the marginal value of cash decreases in the presence of tax repatriation costs, as these costs are a strong indication that part of the cash is trapped abroad. Cash abroad is not readily available to the company because it is subject to an additional layer of tax before it can be used or distributed. Moreover, uncertainty surrounds the potential use of foreign cash, and research documents that firms holding high amounts of cash abroad are likely to invest in negative net present value activities. Finally, possible changes in tax regulation are an additional source of uncertainty. Consequently, foreign cash should be worth less than domestic cash. Using a large sample of US firms drawn from COMPUSTAT during the 1991–2012 period, the analysis suggests that shareholders value an extra dollar of cash at $1.086. However, this result changes dramatically when the change in cash is interacted with the tax cost of repatriating the earnings. That is, the marginal value of cash decreases significantly in the presence of tax repatriation costs, and shareholders discount cash when it is likely to be held abroad. This study contributes to the literature on cash holding by investigating whether tax repatriation costs affect the value of corporate cash. Moreover, the findings show that there are important economic consequences linked to the phenomenon of cash accumulation in foreign countries and therefore provide regulators with a sound foundation on which to take additional actions to require more disclosure of and transparency in the actual location of firms’ cash holdings.     

WHAT ACCOUNTS FOR THE DECLINE IN CRIME?*

In this article we analyze recent trends in aggregate property crime rates in the United States. We propose a dynamic equilibrium model that guides our quantitative investigation of the major determinants of observed patterns of crime. Our main findings can be summarized as follows: First, the model is capable of reproducing the drop in crime between 1980 and 1996. Second, the most important factors that account for the observed decline in property crime are the higher apprehension probability, the stronger economy, and the aging of the population. Third, the effect of unemployment on crime is negligible. Fourth, the increased inequality prevented an even larger decline in crime. Overall, our analysis can account for the behavior of the time series of property crime rates over the past quarter century.     

Information Flows across Markets: Evidence from China–Backed Stocks Dual–Listed in Hong Kong and New York

Using a bivariate generalized autoregressive conditional heteroskedasticity (GARCH) model, we examine patterns of information flows for China–backed stocks that are cross–listed on exchanges in Hong Kong and New York. Results analyzing the dual–listed stocks indicate significant mutual feedback of information between domestic (Hong Kong) and offshore (New York) markets in terms of pricing and volatility. Stocks listed on the domestic market appear to play a more significant role of information transmission in the pricing process, whereas stocks listed on the offshore market play a bigger role in volatility spillover.     

Common Stock Returns in Corporate Takeover Bids: The Case of Brokerage House Acquisitions

This paper examines the common stock returns of three groups of bidders that purchased brokerage houses. Only in the cases of horizontal mergers, one brokerage house purchasing another, are there abnormal returns associated with the purchase. Neither bank holding company bidders nor non-financial bidders gain significantly when purchasing a brokerage house. Bank holding company bidders face considerable regulatory delays, and these economic disturbances may eliminate their gains. Bank holding company expansion into these non-bank activities does not appear, at the time of announcement, to either hurt or benefit them; hence, this expansion does not appear to further the loss exposure of the Federal Deposit Insurance Corporation.     

A note on forecasting international tourism demand in Spain

This paper considers the extent to which price and income proxy variables help in forecasting tourist demand in Spain. Contrary to some recent studies, we found that the inputs' contribution in terms of fitting and forecasting is nil when compared with alternative univariate models. Whether these findings are the results of the restrictions embedded in building the proxy inputs or in a poor specification of the dynamics of these models remains to be seen. We also contend that when dealing with medium, long-term forecasting comparisons, the use of the traditional aggregate accuracy measures like RMSE and MAPE help very little in discriminating among competing models. In these situations, predicted annual growth rates may be a better alternative.