Home Itens selecionados Provedores de dados OAI Créditos Sobre Ajuda

			Busca avançada
	Provedor de dados AgEcon (22) PAB (1) R. Bras. Zootec. (1) Autor Richardson, James W. (5) Hirschauer, Norbert (3) Musshoff, Oliver (3) Fadiga, Mohamadou L. (2) Lien, Gudbrand D. (2) Mohanty, Samarendu (2) Pan, Suwen (2) Schumann, Keith D. (2) Adams, Gary M. (1) Anderson, John D. (1) Asheim, Leif Jarle (1) Barbosa,Márcio Henrique Pereira (1) Barioni,Luís Gustavo (1) Beltrame,Renato Travassos (1) Berg, Ernst (1) Bergin, Michelle S. (1) Binfield, Julian C.R. (1) Briggeman, Brian C. (1) Detre, Joshua D. (1) Eltun, Ragnar (1) Mais... Palavra-chave Stochastic simulation (24) Risk and Uncertainty (8) Farm Management (5) Risk management (5) Uncertainty (5) Crop Production/Industries (4) Agribusiness (3) Agricultural and Food Policy (3) Livestock Production/Industries (3) Partial equilibrium model (3) Q12 (3) Research and Development/Tech Change/Emerging Technologies (3) Africa (2) Cotton subsidies (2) Dynamic programming (2) Export earnings (2) Financial Economics (2) Flexibility (2) Investment (2) Multivariate kernel estimator (2) Mais... Tipo do documento Conference Paper or Presentation (10) Journal Article (10) Info:eu-repo/semantics/article (2) Presentation (1) Working or Discussion Paper (1) Ano 2013 (1) 2012 (1) 2010 (2) 2008 (2) 2007 (2) 2006 (4) 2005 (5) 2004 (3) 2003 (1) 2002 (1) 1999 (1) 1998 (1) Mais... País United States (22) Brazil (2) Idioma Inglês (20) Alemão (4)		Registro completo Provedor de dados:  AgEcon País:  United States Título:  Including Risk in Economic Feasibility Analyses: The Case of Ethanol Production in Texas Autores:  Richardson, James W. Herbst, Brian K. Outlaw, Joe L. Gill, Robert Chope, II Data:  2010-05-21 Ano:  2007 Palavras-chave:  Economic feasibility analysis Ethanol feasibility Risk management Stochastic simulation Agribusiness Research and Development/Tech Change/Emerging Technologies Resumo:  The widespread use of personal computers and spreadsheet models for feasibility studies makes risk-based Monte Carlo simulation analysis of proposed investments a relatively simple task. Add-in simulation packages for Microsoft® Excel can be used to make spreadsheet models stochastic. Rather than basing investment decisions on point estimates, investors can easily estimate the implied distributions of returns for uncertain investments and calculate the risk of an investment as well as the probability of success. The benefits of using Monte Carlo simulation to analyze a risky investment are demonstrated using an ethanol plant as an example. Tipo:  Journal Article Idioma:  Inglês Identificador:  0738-8950 http://purl.umn.edu/62291 Relação:  Journal of Agribusiness>Volume 25, Number 2, Fall 2007 Formato:  18 Fechar

Empresa Brasileira de Pesquisa Agropecuária - Embrapa Todos os direitos reservados, conforme Lei n° 9.610 Política de Privacidade Área restrita		Embrapa Parque Estação Biológica - PqEB s/n° Brasília, DF - Brasil - CEP 70770-901 Fone: (61) 3448-4433 - Fax: (61) 3448-4890 / 3448-4891 SAC: https://www.embrapa.br/fale-conosco