Herding behaviour in a peripheral European stock market: the impact of the subprime and the European sovereign debt crises

The characteristics of the Portuguese stock market suggest that it is susceptible to herding behaviour. We investigate the existence of this behaviour in Portugal during periods of market stress, with emphasis on the subprime and European sovereign debt crises. We analyse the overall stock market, key industries, and portfolios divided by market capitalisation. The study is performed using both linear and nonlinear models, and the impact of conditional variance is taken into account. This paper shows evidence of herding behaviour when the nonlinear model is used and during periods of crisis. Investors imitate more assets of similar size than assets of the same industry. Finally, the evidence of herding behaviour is reduced when GARCH effects are taken into account

Mapeamento digital de classes e atributos de solos: métodos, paradigmas e novas técnicas.

Panorama geral sobre os métodos de mapeamento de solos e/ou de suas propriedades, assim como sobre as principais técnicas quantitativas usadas.bitstream/CNPS/11588/1/doc55_mapeamentodigital.pd

Sistema de recomendações de fertilizantes para o coqueiro (Cocos nucifera L.) com base na análise foliar.

Base de utilização da análise foliar para recomendar fertilizantes, nível critico, interações, amostragem das folhas para análises, base teórica da amostragem, limitações práticas, folha a ser amostrada, filotaxia do coqueiro, métodos práticos para reconhecimento da folha a ser mostrada, coleta, identificação e preparação da amostra, métodos a serem utilizados na análise, fatores envolvidos na iterpretação dos resultados.bitstream/item/44715/1/CPATC-DOCUMENTOS-7-SISTEMA-DE-RECOMENDACOES-DE-FERTILIZANTES-PARA-O-COQUEIRO-COCOS-NUCIFERA-L-COM.pd

Podridão-de-esclerócio do melão no Estado do Ceará.

Podridao-de-esclerocio do melao no Estado do Ceara.bitstream/CNPAT-2010/8614/1/Ct-096.pd

Vida útil pós-colheita de genótipos de cebola sob temperatura ambiente.

Com o objetivo de avaliar a qualidade e a conservação pós-colheita, quatorze genótipos de cebola (IPA-03, IPA-04, IPA-08, IPA-10, IPA-11, Brisa, Texas Grano 502, Texas Grano 502 PRR, Red Creole, Granex 429, Alfa São Francisco, EX-19013, EX-07593000 e Sawana Sweet) foram armazenados sob temperatura ambiente (25,1±3,3ºC e 37±7% UR) e avaliados aos 0, 7, 14, 21 e 28 dias.Suplemento. Edição dos Resumos Expandidos do 45. Congresso Brasileiro de Olericultura; 15. Congresso Brasileiro de Floricultura e Plantas Ornamentais; 2. Congresso Brasileiro de Cultura de Tecidos de Plantas, Fortaleza, ago. 2005

Modelling and digital soil mapping of the organic carbon stock in the topsoil (0-10 cm) of Rio de Janeiro State, Brazil.

A soil database with 431 soil profiles of Rio de Janeiro State was used in the scope of a research project entitled "Quantifying the magnitude, spatial distribution and organic carbon in soils of Rio de Janeiro State, using quantitative modeling, GIS and database technologies" (Projeto Carbono_RJ, funded by FAPERJ - Carlos Chagas Filho Foundation for Research Support in Rio de Janeiro State). Considering that these soil data were collected to other purpose, there was only a few sparse data to soil bulk density, which is essential to estimate of soil organic carbon (SOC) stock. To face this problem, pedotransfer functions (PTFs) were estimated to be used in the modeling of organic soil carbon of topsoil (0-10 cm), using s.c.o.r.p.a.n model. The following environmental correlates were used as predictor variables: satellite data, lithology and soil maps, DEM (Digital Elevation Model) and its derivatives as source of information for these variables. This dataset, that represents the best organized soil dataset in Brazil, is working as a trial for learning/teaching of Digital Soil Mapping (DSM) using a variety of methods for predicting soil classes and their properties. The "f" of the equation was modeled by means of multilinear analysis and regression-kriging. Seven different models were built and compared through statistical methods. In a general way, all models performed well to predict the SOC stock. Nevertheless, model 6 (M6) was an exceptional model, presenting the smallest AIC e RMSE, due to the use of existing soil information (polygon soil map) as predictor variable, in addition to the variables used in the other models. The result obtained in M6 was used for mapping topsoil carbon stock at spatial resolution of 90 m

Identificação e caracterização de patógenos foliares em mudas seminais de Eucalipto benthamii.

SEMIC. Resumo bilíngue. FLORE05