Economic Forecasting
Mostrando 1-12 de 26 artigos, teses e dissertações.
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1. Operating cost budgeting methods: quantitative methods to improve the process
Abstract Operating cost forecasts are used in economic feasibility studies of projects and in budgeting process. Studies have pointed out that some companies are not satisfied with the budgeting process and chief executive officers want updates more frequently. In these cases, the main problem lies in the costs versus benefits. Companies seek simple and chea
Prod.. Publicado em: 29/08/2016
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2. Elaboração de indicadores bibliométricos a partir de patentes de nanotecnologia
The need to assign values to consumer and globalization have created a new format in the economy. These phenomena have increased investments in technology until the crisis of 1970 that generated a reduction in economic growth and consequently reduction in research funding. This context created resources that could gauge the areas that lacked development. One
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 27/02/2012
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3. FORECASTING OF JUDICIAL CONTINGENCY IN ELECTRIC SECTOR COMPANIES: AN APPROACH VIA DYNAMIC REGRESSION AND EXPONENTIAL SMOOTHING / PREVISÃO DE CONTINGÊNCIA JUDICIAL EM EMPRESAS DO SETOR ELÉTRICO: UMA ABORDAGEM VIA REGRESSÃO DINÂMICA E AMORTECIMENTO EXPONENCIAL
The aim of this dissertation is to develop short term models to forecast the number of judicial process in electric sector companies. From the methodology point of view, data is analyzed and models using bottom-up strategy is developed. In other words, a simple model is improved step by step until a proper model that fits well the reality is found. From a un
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 26/08/2011
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4. Estimation of sugar cane productivity using a time series of AVHRR/NOAA-17 images and a phenology-spectral model.
Despite the economic and social importance of agribusiness in Brazil, the accurate estimation of the production of its main agricultural crops, such as sugar cane, is still a big challenge to the Country. Thus this work has the objective to assess a methodology based on the use of a phenology-spectral model proposed by Pellegrino (2001) and a time series of
INTERNATIONAL WORKSHOP ON THE ANALYSIS OF MULTI-TEMPORAL REMOTE SENSING IMAGES. Publicado em: 2011
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5. Identification of sugar cane fields in the state of sao paulo using a time series of AVHRR/NOAA satellite images.
Brazil is the first world producer of sugar cane. Despite the economic and social importance of agribusiness to Brazil, it is still difficult to estimate the harvest of the its main agricultural crops with the precision and anticipation needed, justifying the study and development of new methods based on the use of remote sensing data, for example. Even cons
INTERNATIONAL WORKSHOP ON THE ANALYSIS OF MULTI-TEMPORAL REMOTE SENSING IMAGES. Publicado em: 2011
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6. FORECASTING INDUSTRIAL PRODUCTION IN BRAZIL: AN APPLICATION OF LINEAR DIFFUSION INDEX MODEL / PREVISÃO DA PRODUÇÃO INDUSTRIAL DO BRASIL: UMA APLICAÇÃO DO MODELO DE ÍNDICE DE DIFUSÃO LINEAR
The diffusion linear index model is used to forecast the economic conditions. Applying multivariate techniques, summarizes a large number of variables in a few factors that make them good predictors. This study seeks to understand which ones have the best predictive power and uses this methodology to compare against the literature. The conclusion is that the
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 02/09/2010
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7. Economic cycles and term structure : application to Brazil
The objective of this work is to describe the behavior of the economic cycle in Brazil through Markov processes which can jointly model the slope factor of the yield curve, obtained by the estimation of the Nelson-Siegel Dynamic Model by the Kalman filter and a proxy variable for economic performance, providing some forecasting measure for economic cycles
Publicado em: 29/06/2010
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8. Accounting earnings properties and determinants of earnings response coefficient in Brazil / Propriedades do lucro contábil e determinantes do coeficiente de resposta ao lucro no Brasil
A fundamental issue at the interface of economics, finance, and accounting involves the relation between a firms reported earnings and its stock returns. The lack of research in this field using Brazilian data and the limitations of previous research in terms of time-series data (small length available) motivates the present research. In addition, the practi
Publicado em: 2009
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9. Fuzzy inference systems approach for long term hydrothermal scheduling / Sistema de inferencia nebulosa ao planejamento da operação hidrotermica de medio prazo
The long term hydrothermal scheduling lies in the optimization of the water resource usage through the maximization of the hydroelectric production and the minimization of the thermal plants operation. Its goal is to assure an economic and reliable load supply throughout the study stages. This problem can be characterized by exhibiting a complex nature, sinc
Publicado em: 2009
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10. A Panel Data Approach to Economic Forecasting: The Bias-Corrected Average Forecast
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Fundação Getulio Vargas. Publicado em: 01/01/2008
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11. Model "Export-led growth" : empirical evidence in a non-linear perspective / Modelo export-led growth: evidências empíricas em uma perspectiva não linear
The aim of this thesis is to evaluate Export-Led Growth hypothesis through MR-STVAR. If its model is assumed, the pattern of growth alternates among four distinct regimes. Each of them is characterized by the combination of high and low rates of output and export growth. To verify if the value of export quarterly growth increases the forecasting capabilities
Publicado em: 2008
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12. Predição de séries temporais econômicas por meio de redes neurais artificiais e transformada Wavelet: combinando modelo técnico e fundamentalista / Technique of economic time series prediction by artificial neural network and wavelet transform: joining technical and fundamental model
Este trabalho apresenta um método de predição não linear de séries temporais econômicas. O método baseia-se na análise técnica e fundamentalista de cotação de ações, filtragem wavelet, seleção de padrões e redes neurais artificiais. No modelo técnico emprega-se a transformada wavelet para filtrar a série temporal econômica de comportamento
Publicado em: 2008