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[null,"1.","Record Nr.",null,"UNINA9910983482203321"]
[null,null,"Autore",null,"Downes Earl Richard"]
[null,null,"Titolo",null,"Brazilian Agricultural Development, 1950-1985 : The United States and Rise of Agribusiness in Brazil / / by Earl Richard Downes"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer Nature Switzerland : , : Imprint : Palgrave Macmillan, , 2025"]
[null,null,"ISBN",null,"9783031769962"]
[{"$nulls":4},"3031769961"]
[null,null,"Edizione",null,"[1st ed. 2025.]"]
[null,null,"Descrizione fisica",null,"1 online resource (344 pages)"]
[null,null,"Disciplina",null,"338.10981"]
[null,null,"Soggetti",null,"Economic history"]
[{"$nulls":4},"Agriculture - Economic aspects"]
[{"$nulls":4},"Development economics"]
[{"$nulls":4},"Economic History"]
[{"$nulls":4},"Agricultural Economics"]
[{"$nulls":4},"Development Economics"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Chapter 1: Brazil, the Agricultural Giant -- Chapter 2: The Return of Getúlio Vargas and Agricultural Development, 1951-54 -- Chapter 3: \"50 Years in Five\" and the Reorientation of Brazilian Agriculture -- Chapter 4: Agricultural Politics and Institutional Ferment, 1961-1964 -- Chapter 5: Enhancing the Infrastructure and Human Capital, 1964-1969 -- Chapter 6: Brazil Alters the Course of its Agricultural Development, 1969-1974 -- Chapter 7: The State and the Rising Agricultural Superpower -- Chapter 8: The Rise of the New Model for Brazilian Agriculture, 1979-1985."]
[null,null,null,"Sommario/riassunto","Between 1950 and 1985, the United States provided an ongoing flow of resources to support Brazilian agriculture. These were granted regardless of the orientation of the dominant political party in both countries. This book documents the Cold War-driven aid programs, the private capital, and investment from American philanthropists that laid the foundation for economic development to soar in Brazil through to today. Earl Richard Downes explains how Brazil became a major catalyst for change with US assistance and a military government. This rich history includes conflict over land titles, displacement of farm laborers, environmental damage, as well as political and social turbulence. The "]
[{"$nulls":4},"book breaks down how Brazil's military inserted itself into major components of the agricultural revolution, including mechanization, fertilization, credit, technical assistance, research, processing, and marketing. Chapters break down the global impact made through the frameworks and models used to develop Brazilian agriculture. Downes also offers insight into the nation's first agricultural research corporation, the Brazilian Agricultural Research Corporation (EMBRAPA). Earl Richard Downes (1947-2024) was a military officer, private-sector activist, and civilian educator. He held a Bachelor of Science in Latin American Studies from the US Air Force Academy, a Master of Arts in Latin American Studies from the University of Florida, and a PhD in Latin American History from the University of Texas at Austin. Downes dedicated his career to improving US Latin American relations."]
[null,"2.","Record Nr.",null,"UNINA9910964538503321"]
[null,null,"Autore",null,"Avesani Renzo"]
[null,null,"Titolo",null,"A New Risk Indicator and Stress Testing Tool : : A Multifactor Nth-to-Default CDS Basket / / Renzo Avesani, Jing Li, Antonio Garcia Pascual"]
[null,null,"Pubbl/distr/stampa",null,"Washington, D.C. : , : International Monetary Fund, , 2006"]
[null,null,"ISBN",null,"9786613824998"]
[{"$nulls":4},"9781462305414"]
[{"$nulls":4},"1462305415"]
[{"$nulls":4},"9781452791517"]
[{"$nulls":4},"1452791511"]
[{"$nulls":4},"9781283512541"]
[{"$nulls":4},"1283512548"]
[{"$nulls":4},"9781451908992"]
[{"$nulls":4},"1451908997"]
[null,null,"Edizione",null,"[1st ed.]"]
[null,null,"Descrizione fisica",null,"1 online resource (25 p.)"]
[null,null,"Collana",null,"IMF Working Papers"]
[null,null,"Soggetti",null,"Risk management"]
[{"$nulls":4},"Economic indicators"]
[{"$nulls":4},"Banking"]
[{"$nulls":4},"Banks and Banking"]
[{"$nulls":4},"Banks and banking"]
[{"$nulls":4},"Banks"]
[{"$nulls":4},"Cdos"]
[{"$nulls":4},"Classification Methods"]
[{"$nulls":4},"Cluster Analysis"]
[{"$nulls":4},"Credit default swap"]
[{"$nulls":4},"Credit"]
[{"$nulls":4},"Depository Institutions"]
[{"$nulls":4},"Derivative securities"]
[{"$nulls":4},"Econometric models"]
[{"$nulls":4},"Econometrics & economic statistics"]
[{"$nulls":4},"Econometrics"]
[{"$nulls":4},"Factor Models"]
[{"$nulls":4},"Factor models"]
[{"$nulls":4},"Finance"]
[{"$nulls":4},"Financial Instruments"]
[{"$nulls":4},"Institutional Investors"]
[{"$nulls":4},"Investments: Derivatives"]
[{"$nulls":4},"Micro Finance Institutions"]
[{"$nulls":4},"Monetary economics"]
[{"$nulls":4},"Monetary Policy, Central Banking, and the Supply of Money and Credit: General"]
[{"$nulls":4},"Money and Monetary Policy"]
[{"$nulls":4},"Mortgages"]
[{"$nulls":4},"Non-bank Financial Institutions"]
[{"$nulls":4},"Pension Funds"]
[{"$nulls":4},"Principal Components"]
[{"$nulls":4},"United States"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","\"April 2006\"."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references."]
[null,null,"Nota di contenuto",null,"\"\"Contents\"\"; \"\"I. INTRODUCTION\"\"; \"\"II. DESCRIPTION OF THE INDICATOR\"\"; \"\"III. MODEL DESCRIPTION\"\"; \"\"IV. DATA DESCRIPTION\"\"; \"\"V. FACTOR ANALYSIS: ESTIMATION RESULTS\"\"; \"\"VI. COMPUTATION OF THE PROBABILITIES OF DEFAULT\"\"; \"\"VII. SENSITIVITY ANALYSIS\"\"; \"\"VIII. STRESS TESTING\"\"; \"\"IX. CONCLUDING REMARKS\"\"; \"\"References\"\""]
[null,null,null,"Sommario/riassunto","This paper generalizes a market-based indicator for financial sector surveillance using a multifactor latent structure in the determination of the default probabilities of an nth-todefault credit default swap (CDS) basket of large complex financial institutions (LCFIs). To estimate the multifactor latent structure, we link the market risk (the covariance of the LCFIs' equity) to credit risk (the default probability of the CDS basket) in a coherent manner. In addition, to analyze the response of the probabilities of default to changing macroeconomic conditions, we run a stress test by generating shocks to the latent multifactor structure. The results unveil a rich set of default probability dynamics and help in identifying the most relevant sources of risk. We anticipate that this approach could be of value to financial supervisors and risk managers alike."]