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Crecimiento Económico y Concentración Original del Ingreso: Experiencias Internacionales desde 1820

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Abstract

Se presenta el diseño de un mecanismo de cobertura para el riesgo de tasa de interés real que afrontan en Colombia los Bancos especializados en crédito hipotecario, es decir el riesgo de que la diferencia multiplicativa entre la tasa de interés nominal de captación a corto plazo (DTF) y la variación de la UVR menos el equivalente de largo plazo de dicha diferencia sea mayor que cero. Por medio de dos metodologías diferentes se llega a una estimación de la tasa de interés real de largo plazo a partir de la cual se construyen tres alternativas de funcionamiento del mecanismo. La primera es una operación tipo SWAP en la que se anula el valor de los aportes de los participantes, la segunda alternativa contempla la distribución de una parte de los ingresos iniciales del mecanismo entre las entidades y la tercera constituye un sistema de franjas de tasa de interés real. Finalmente, se presentan los resultados de la evaluación del desempeño de las tres alternativas utilizando datos de tasa de interés real observados entre enero de 1984 y agosto de 2002

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  • Diego Vásquez, 2003. "Crecimiento Económico y Concentración Original del Ingreso: Experiencias Internacionales desde 1820," Borradores de Economia 237, Banco de la Republica de Colombia.
  • Handle: RePEc:bdr:borrec:237
    DOI: 10.32468/be.237
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    1. Lee, Bong-Soo & Ingram, Beth Fisher, 1991. "Simulation estimation of time-series models," Journal of Econometrics, Elsevier, vol. 47(2-3), pages 197-205, February.
    2. John C. Cox & Jonathan E. Ingersoll Jr. & Stephen A. Ross, 2005. "A Theory Of The Term Structure Of Interest Rates," World Scientific Book Chapters, in: Sudipto Bhattacharya & George M Constantinides (ed.), Theory Of Valuation, chapter 5, pages 129-164, World Scientific Publishing Co. Pte. Ltd..
    3. Hansen, Lars Peter & Scheinkman, Jose Alexandre, 1995. "Back to the Future: Generating Moment Implications for Continuous-Time Markov Processes," Econometrica, Econometric Society, vol. 63(4), pages 767-804, July.
    4. Philip Hans Franses & Bart Hobijn, 1997. "Critical values for unit root tests in seasonal time series," Journal of Applied Statistics, Taylor & Francis Journals, vol. 24(1), pages 25-48.
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