Realized extreme quantile: A joint model for conditional quantiles and measures of volatility with EVT refinements

We propose a new framework exploiting realized measures of volatility to estimate and forecast extreme quantiles. Our realized extreme quantile (REQ) combines quantile regression with extreme value theory and uses a measurement equation that relates the realized measure to the latent conditional quantile. Model estimation is performed by quasi maximum likelihood, and a simulation experiment validates this estimator in finite samples. An extensive empirical analysis shows that high‐frequency measures are particularly informative of the dynamic quantiles. Finally, an out‐of‐sample forecast analysis of quantile‐based risk measures confirms the merit of the REQ.     

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...     

Non-linear Gaussian sovereign CDS pricing models

Prior literature indicates that quadratic models and the Black–Karasinski model are very promising for CDS pricing. This paper extends these models and the Black [J. Finance 1995, 50, 1371–1376] model for pricing sovereign CDS’s. For all 10 sovereigns in the sample quadratic models best fit CDS spreads in-sample, and a four factor quadratic model can account for the joint effects on CDS spreads of default risk, default loss risk and liquidity risk with no restriction to factors correlation. Liquidity risk appears to affect sovereign CDS spreads. However, quadratic models tend to over-fit some CDS maturities at the expense of other maturities, while the BK model is particularly immune from this tendency. The Black model seems preferable because its out-of-sample performance in the time series dimension is the best.     

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.     

Optimal Emissions Taxation under Imperfect Competition in a Durable Good Industry

This paper investigates optimal emissions taxation under imperfect competition in a durable good industry where products are sold (instead of rented). As a benchmark, attention is paid to the special case of monopoly with exogenously given product durability. In line with previous literature, the optimal emission tax in this benchmark model falls short of marginal damage (underinternalization). Extending the benchmark model either to the case of an oligopolistic market structure and/or to the case of endogenous product durability then provides two cases in which the optimal emission tax overinternalizes marginal damage.     

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.     

Competition, Contractibility, and the Market for Donors to Nonprofits

This article investigates theoretically and empirically theeffects of competition for donors on the behavior of nonprofitorganizations. Theoretically, we consider a situation in whichnonprofit organizations use donations to produce some commodity,but the use of donations is only partially contractible. Themain results of the model indicate that an increase in competition(i) decreases the fraction of donations allocated to perquisiteconsumption and (ii) increases the fraction of donations allocatedto promotional expenditures. Moreover, the effects of competitionare magnified by the ability to contract on the use of donations.These hypotheses are tested with data on the expenditures ofnonprofit organizations in a number of subsectors where competitionis primarily local. We use across–metropolitan statisticalareas' variation to measure differences in competition and proxycontractibility by the importance of tangible assets, whichare more easily observed by donors. The estimated effects ofcompetition and contractibility are consistent with our model.     

FIRM HETEROGENEITY,IMITATION, AND THE INCENTIVES FOR COST REDUCING R&D EFFORT*

I develop and test a model of strategic R&D investments where innovating and non‐innovating firms compete on the basis of their ability to reduce costs and imitate rivals. I find that a larger proportion of non‐innovating rivals stimulates cost‐reducing investments and attenuates the disincentive effect of imitation by innovators on firm level R&D. Key model properties are verified by estimating the first order condition for the optimal choice of R&D, using the 1994 Carnegie Mellon survey of U.S. industrial R&D. Results also suggest that R&D and size are simultaneously determined, with R&D being proportional to size, as predicted by the theoretical model.     

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.