Guía del ciclo de vida de proyectos de inversión pública municipal PDF Download
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Languages : es
Pages : 31
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Languages : es
Pages : 31
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Category :
Languages : es
Pages : 45
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Author: ILPES
Publisher: Siglo XXI
ISBN: 9789682316876
Category : Economic development
Languages : es
Pages : 244
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Book Description
Instrumento de trabajo para los profesionales que, tanto en el sector público como en el privado, deben preparar o analizar los antecedentes con que se someten a aprobación final y financiamiento los proyectos de desarrollo económico y social. Fue preparado por el Instituto de Planificación Económica y Social a raíz de un acuerdo con el Banco Interamericano de Desarrollo, como forma de mejorar la formulación de proyectos de inversión en América Latina.
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Languages : es
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Category : Economic development projects
Languages : es
Pages : 45
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Category : Latin America
Languages : en
Pages : 124
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Category : Economic assistance
Languages : en
Pages : 56
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Publisher: World Bank Publications
ISBN: 0821362569
Category : Business & Economics
Languages : en
Pages : 283
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This publication reviews Ecuador's fiscal management and public expenditure policies in the context of its development and poverty reduction goals. Findings include that the country's impressive fiscal performance of 2003 is encouraging but fragile, as several structural bottlenecks could impede fiscal discipline and recovery. Reversing poverty trends is critical for the country's stability, and this can only be achieved with well-targeted, effective and efficient pro-poor programmes.
Author: Zura Kakushadze
Publisher: Springer
ISBN: 3030027929
Category : Business & Economics
Languages : en
Pages : 480
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The book provides detailed descriptions, including more than 550 mathematical formulas, for more than 150 trading strategies across a host of asset classes and trading styles. These include stocks, options, fixed income, futures, ETFs, indexes, commodities, foreign exchange, convertibles, structured assets, volatility, real estate, distressed assets, cash, cryptocurrencies, weather, energy, inflation, global macro, infrastructure, and tax arbitrage. Some strategies are based on machine learning algorithms such as artificial neural networks, Bayes, and k-nearest neighbors. The book also includes source code for illustrating out-of-sample backtesting, around 2,000 bibliographic references, and more than 900 glossary, acronym and math definitions. The presentation is intended to be descriptive and pedagogical and of particular interest to finance practitioners, traders, researchers, academics, and business school and finance program students.
