Mecanismo de transmisión de política monetaria en Estados Unidos hacia América Latina y otras economías emergentes: una aplicación del modelo GVAR (2002Q1 - 2019Q4)

dc.contributor.advisorJalil Barney, Munir Andresspa
dc.contributor.authorPerdomo Sanchez, Hernan Dariospa
dc.coverage.countryEstados Unidosspa
dc.coverage.spatialAmérica Latinaspa
dc.coverage.temporal2002-2019
dc.coverage.tgnhttp://vocab.getty.edu/page/tgn/7012149
dc.coverage.tgnhttp://vocab.getty.edu/page/tgn/4006155
dc.date.accessioned2025-04-04T20:39:48Z
dc.date.available2025-04-04T20:39:48Z
dc.date.issued2024
dc.descriptionilustraciones, diagramasspa
dc.description.abstractEste estudio analiza el impacto de un choque de política monetaria contractiva en los Estados Unidos sobre algunas de las principales economías de América Latina y otras economías emergentes utilizando la metodología de Vectores Autorregresivos Globales (GVAR). Para eso se emplea una base de datos trimestral que abarca el período 2002Q1-2019Q4 y comprende un total de 27 economías. Adicionalmente, se contemplan variables domésticas de actividad real, nivel de precios al consumidor, índices accionarios, tasas de interés de corto plazo y medidas de riesgo soberano y condiciones financieras locales, así como precios internacionales de algunas commodities como variables globales. Los resultados del análisis estructural de impulso respuesta validan los canales de transmisión convencionales y sugieren que un incremento en la tasa de política monetaria de la Reserva Federal impacta negativamente en la actividad económica, las monedas, los índices de precios de acciones locales; aumenta el riesgo soberano y las tasas de interés de política monetaria de otras economías. En cuanto a otras economías emergentes, el mecanismo de transmisión se mantiene pero se observa un impacto menor, posiblemente debido a menor interconexión comercial o mayor resiliencia económica de esas economías. Por último, este estudio también busca enriquecer la literatura de modelación GVAR al centrarse en América Latina, incluyendo economías como la colombiana y considerando las interconexiones regionales, lo que podría proporcionar una visión más completa de las dinámicas económicas y financieras en la región y su integración global. (Texto tomado de la fuente).spa
dc.description.abstractThis study analyzes the impact of a contractionary monetary policy shock in the United States on some of the main economies in Latin America and other emerging economies using the Global Vector Autoregressive (GVAR) methodology. A quarterly database covering the period from 2002Q1 to 2019Q4 is employed, comprising a total of 27 economies. Additionally, domestic variables of real activity, consumer price levels, stock indices, short-term interest rates, and measures of sovereign risk and local financial conditions are considered, as well as international prices of some commodities as global variables. The results of the structural impulse response analysis validate conventional transmission channels and suggest that an increase in the Federal Reserve's policy rate negatively impacts economic activity, currencies, and local stock price indices; it increases sovereign risk and the policy interest rates of other economies. Regarding other emerging economies, the transmission mechanism remains but shows a smaller impact, possibly due to lower commercial interconnection or greater economic resilience of these economies. Lastly, this study also seeks to enrich the GVAR modeling literature by focusing on Latin America, including economies such as Colombia, and considering regional interconnections, which could provide a more comprehensive view of the economic and financial dynamics in the region and its global integration.eng
dc.description.degreelevelMaestríaspa
dc.description.degreenameMagíster en Ciencias Económicasspa
dc.description.researchareaTeoría y política económicaspa
dc.format.extentviii, 71 páginasspa
dc.format.mimetypeapplication/pdfspa
dc.identifier.instnameUniversidad Nacional de Colombiaspa
dc.identifier.reponameRepositorio Institucional Universidad Nacional de Colombiaspa
dc.identifier.repourlhttps://repositorio.unal.edu.co/spa
dc.identifier.urihttps://repositorio.unal.edu.co/handle/unal/87849
dc.language.isospaspa
dc.publisherUniversidad Nacional de Colombiaspa
dc.publisher.branchUniversidad Nacional de Colombia - Sede Bogotáspa
dc.publisher.facultyFacultad de Ciencias Económicasspa
dc.publisher.placeBogotá, Colombiaspa
dc.publisher.programBogotá - Ciencias Económicas - Maestría en Ciencias Económicasspa
dc.relation.referencesBanerjee, A., Marcellino, M., & Osbat, C. (2004). Some cautions on the use of panel methods for integrated series of macroeconomic data. The Econometrics Journal, 7 (2), 322-340.spa
dc.relation.referencesBallester, L., & González-Urteaga, A. (2017). How credit ratings affect sovereign credit risk: Cross-border evidence in Latin American emerging markets. Emerging Markets Review, 30, 200-214spa
dc.relation.referencesBekaert, G., Hoerova, M., & Duca, M. L. (2013). Risk, uncertainty and monetary policy. Journal of Monetary Economics, 60 (7), 771-788.spa
dc.relation.referencesBenecká, S., Fadejeva, L., & Feldkircher, M. (2018). Spillovers from euro area monetary policy: A focus on emerging Europe (inf. téc.)spa
dc.relation.referencesBernanke, B. S., Boivin, J., & Eliasz, P. (2005). Measuring the effects of monetary policy: a factor-augmented vector autoregressive (FAVAR) approach. The Quarterly journal of economics, 120 (1), 387-422.spa
dc.relation.referencesBernanke, B. S., & Gertler, M. (1995). Inside the black box: the credit channel of monetary policy transmission. Journal of Economic perspectives, 9 (4), 27-48.spa
dc.relation.referencesBiljanovska, N., & Meyer-Cirkel, A. (2016). Testing shock transmission channels to low-income developing countries. International Monetary Fund.spa
dc.relation.referencesBorio, C., & Zhu, H. (2012). Capital regulation, risk-taking and monetary policy: a missing link in the transmission mechanism? Journal of Financial stability, 8 (4), 236-251.spa
dc.relation.referencesBoschi, M. (2012). Long-and short-run determinants of capital flows to Latin America: a long-run structural GVAR model. Empirical Economics, 43 (3), 1041-1071.spa
dc.relation.referencesBoschi, M., & Girardi, A. (2011). The contribution of domestic, regional and international factors to Latin America’s business cycle. Economic Modelling, 28 (3), 1235-1246.spa
dc.relation.referencesBruno, V., & Shin, H. S. (2015). Cross-border banking and global liquidity. The Review of Economic Studies, 82 (2), 535-564.spa
dc.relation.referencesBussière, M., Chudik, A., & Mehl, A. (2011). Does the euro make a difference? Spatiotemporal transmission of global shocks to real effective exchange rates in an infinite VAR.spa
dc.relation.referencesBussière, M., Chudik, A., & Mehl, A. (2013). How have global shocks impacted the real effective exchange rates of individual euro area countries since the euro’s creation? The BE Journal of Macroeconomics, 13 (1), 1-48.spa
dc.relation.referencesCaporale, G. M., & Girardi, A. (2016). Business cycles, international trade and capital flows: evidence from Latin America. Empirical Economics, 50, 231-252.spa
dc.relation.referencesCashin, P., Mohaddes, K., Raissi, M., & Raissi, M. (2014). The differential effects of oil demand and supply shocks on the global economy. Energy Economics, 44, 113-134.spa
dc.relation.referencesCesa-Bianchi, A., Pesaran, M. H., & Rebucci, A. (2014). Uncertainty and economic activity: A global perspective.spa
dc.relation.referencesCesa-Bianchi, A., Pesaran, M. H., Rebucci, A., Xu, T., & Chang, R. (2012). China’s emergence in the world economy and business cycles in Latin America [with comment]. Economía, 12 (2), 1-75.spa
dc.relation.referencesCetorelli, N., & Goldberg, L. S. (2012). Banking globalization and monetary transmission. The Journal of Finance, 67 (5), 1811-1843.spa
dc.relation.referencesChen, Q., Filardo, A., He, D., & Zhu, F. (2016). Financial crisis, US unconventional monetary policy and international spillovers. Journal of International Money and Finance, 67, 62-81.spa
dc.relation.referencesChen, Q., Lombardi, M. J., Ross, A., & Zhu, F. (2017). Global impact of US and euro area unconventional monetary policies: a comparison.spa
dc.relation.referencesChudik, A., & Fidora, M. (2012). How the global perspective can help us identify structural shocks. Staff Papers, (Dec).spa
dc.relation.referencesChudik, A., & Fratzscher, M. (2011). Identifying the global transmission of the 2007–2009 financial crisis in a GVAR model. European Economic Review, 55 (3), 325-339.spa
dc.relation.referencesChudik, A., Grossman, V., & Pesaran, M. H. (2016). A multi-country approach to forecasting output growth using PMIs. Journal of Econometrics, 192 (2), 349-365.spa
dc.relation.referencesChudik, A., Mohaddes, K., Pesaran, M. H., Raissi, M., & Rebucci, A. (2021). A counterfactual economic analysis of Covid-19 using a threshold augmented multi-country model. Journal of International Money and Finance, 119, 102477.spa
dc.relation.referencesChudik, A., & Pesaran, M. H. (2013). Econometric analysis of high dimensional VARs featuring a dominant unit. Econometric Reviews, 32 (5-6), 592-649.spa
dc.relation.referencesChudik, A., & Pesaran, M. H. (2011). Infinite-dimensional VARs and factor models. Journal of Econometrics, 163 (1), 4-22.spa
dc.relation.referencesChudik, A., Smith, V., et al. (2013). The GVAR approach and the dominance of the US economy (inf. téc.). Federal Reserve Bank of Dallas.spa
dc.relation.referencesColabella, A. (2019). Do the ECB’s monetary policies benefit emerging market economies? A GVAR analysis on the crisis and post-crisis period. A GVAR Analysis on the Crisis and Post-Crisis Period (February 4, 2019). Bank of Italy Temi di Discussione (Working Paper) No, 1207.spa
dc.relation.referencesCrespo Cuaresma, J., Doppelhofer, G., Feldkircher, M., & Huber, F. (2018). Spillovers from US monetary policy: Evidence from a time-varying parameter GVAR model.spa
dc.relation.referencesDe Waal, A., & van Eyden, R. (2013). Forecasting key South African variables with a global VAR model (inf. téc.). Working Papers 201346, University of Pretoria, Department of Economics.spa
dc.relation.referencesDées, S., & Galesi, A. (2021). The Global Financial Cycle and US monetary policy in an interconnected world. Journal of International Money and Finance, 115, 102395.spa
dc.relation.referencesDees, S., Holly, S., Pesaran, M. H., & Smith, L. V. (2007a). Long run macroeconomic relations in the global economy. Economics, 1 (1).spa
dc.relation.referencesDees, S., Mauro, F. d., Pesaran, M. H., & Smith, L. V. (2007b). Exploring the international linkages of the euro area: a global VAR analysis. Journal of applied econometrics, 22 (1), 1-38.spa
dc.relation.referencesDées, S., & Saint-Guilhem, A. (2011). The role of the United States in the global economy and its evolution over time. Empirical Economics, 41 (3), 573-591.spa
dc.relation.referencesDevereux, M. B., & Yetman, J. (2010). Leverage constraints and the international transmission of shocks. Journal of Money, Credit and Banking, 42, 71-105.spa
dc.relation.referencesDizioli, A., Guajardo, M. J., Klyuev, M. V., Mano, R., & Raissi, M. M. (2016). Spillovers from China’s growth slowdown and rebalancing to the ASEAN-5 economies. International Monetary Fund.spa
dc.relation.referencesDreger, C., & Zhang, Y. (2014). Does the economic integration of China affect growth and inflation in industrial countries? Economic Modelling, 38, 184-189.spa
dc.relation.referencesEichenbaum, M. (1992). ‘Interpreting the macroeconomic time series facts: The effects of monetary policy’: by Christopher Sims. European Economic Review, 36 (5), 1001-1011. https://doi.org/https://doi.org/10.1016/0014-2921(92)90042-Uspa
dc.relation.referencesEickmeier, S., & Ng, T. (2015). How do US credit supply shocks propagate internationally? A GVAR approach. European Economic Review, 74, 128-145.spa
dc.relation.referencesElliott, G., Rothenberg, T. J., & Stock, J. H. (1992). Efficient tests for an autoregressive unit root.spa
dc.relation.referencesFeldkircher, M. (2015). A global macro model for emerging Europe. Journal of Comparative Economics, 43 (3), 706-726.spa
dc.relation.referencesFeldkircher, M., & Huber, F. (2016). The international transmission of US shocks—evidence from Bayesian global vector autoregressions. European Economic Review, 81, 167-188.spa
dc.relation.referencesFeldkircher, M., & Korhonen, I. (2014). The Rise of China and its Implications for Emerging Markets-Evidence from a GVAR model. Pacific Economic Review, 19 (1), 61-89.spa
dc.relation.referencesFlores, J. (2015). Transmisión de choques de política monetaria de Estados Unidos sobre América Latina: Un enfoque GVAR. Documento de Trabajo, (18).spa
dc.relation.referencesGalesi, A., & Lombardi, M. J. (2009). External shocks and international inflation linkages: a global VAR analysis.spa
dc.relation.referencesGali, J., & Monacelli, T. (2005). Monetary policy and exchange rate volatility in a small open economy. The Review of Economic Studies, 72 (3), 707-734.spa
dc.relation.referencesGeorgiadis, G. (2016). Determinants of global spillovers from US monetary policy. Journal of international Money and Finance, 67, 41-61.spa
dc.relation.referencesGodfrey, L. G. (1978). Testing against general autoregressive and moving average error models when the regressors include lagged dependent variables. Econometrica: Journal of the Econometric Society, 1293-1301.spa
dc.relation.referencesGranger, C. W., & Jeon, Y. (2007). Evaluation of global models. Economic Modelling, 24 (6), 980-989.spa
dc.relation.referencesGranger, C. W., & Lin, J.-L. (1995). Causality in the long run. Econometric theory, 530-536.spa
dc.relation.referencesGruss, B. (2014). After the boom–commodity prices and economic growth in Latin America and the Caribbean. International Monetary Fund.spa
dc.relation.referencesHajek, J., & Horvath, R. (2018). International spillovers of (un) conventional monetary policy: The effect of the ECB and the US Fed on non-euro EU countries. Economic Systems, 42 (1), 91-105.spa
dc.relation.referencesHarbo, I., Johansen, S., Nielsen, B., & Rahbek, A. (1998). Asymptotic inference on cointegrating rank in partial systems. Journal of business & economic statistics, 16 (4), 388-399.spa
dc.relation.referencesHendry, D. F., & Mizon, G. E. (1998). Exogeneity, causality, and co-breaking in economic policy analysis of a small econometric model of money in the UK. Empirical Economics, 23 (3), 267-294.spa
dc.relation.referencesHsu, H. (2015). Exploring Monetary Policy Transmission Mechanisms with GVAR Models. Available at SSRN 2712898.spa
dc.relation.referencesJohansen, S., et al. (1992). Determination of cointegration rank in the presence of a linear trend. Oxford bulletin of economics and statistics, 54 (3), 383-397.spa
dc.relation.referencesKhojastehNeghad, M., & Hosseini, R. (2017). Effects of Oil Shocks on the Unemployment: GVAR Approach. Romanian Economic Journal, 20 (65), 50-69.spa
dc.relation.referencesKonstantakis, K. N., Michaelides, P. G., Tsionas, E. G., & Minou, C. (2015). System estimation of GVAR with two dominants and network theory: Evidence for BRICs. Economic Modelling, 51, 604-616.spa
dc.relation.referencesLeybourne, S., Kim, T.-H., & Newbold, P. (2005). Examination of some more powerful modifications of the Dickey–Fuller test. Journal of Time Series Analysis, 26 (3), 355-369.spa
dc.relation.referencesMacKinnon, J. G., Haug, A. A., & Michelis, L. (1999). Numerical distribution functions of likelihood ratio tests for cointegration. Journal of applied Econometrics, 14 (5), 563-577.spa
dc.relation.referencesMedel, C. A. (2017). Forecasting Chilean inflation with the hybrid new keynesian Phillips curve: globalisation, combination, and accuracy. Economía chilena, 20 (3), 004-050.spa
dc.relation.referencesMilani, F. (2021). COVID-19 outbreak, social response, and early economic effects: a global VAR analysis of cross-country interdependencies. Journal of population economics, 34 (1), 223-252.spa
dc.relation.referencesMohaddes, K., & Pesaran, M. H. (2017). Oil prices and the global economy: Is it different this time around? Energy Economics, 65, 315-325.spa
dc.relation.referencesMohaddes, K., & Raissi, M. (2020). Compilation, revision and updating of the global VAR (GVAR) database, 1979Q2-2019Q4.spa
dc.relation.referencesMohaddes, K., & Raissi, M. (2019). The US oil supply revolution and the global economy. Empirical Economics, 57 (5), 1515-1546.spa
dc.relation.referencesMurillo Martinez, M. L. (s.f.). Choques de gigantes: impacto de China y EEUU en Latinoamérica.spa
dc.relation.referencesNoya, N., Lanzilotta, B., & Zunino, G. (2015). US Monetary Policy and Commodity Prices Shocks, China’s Deceleration, and Fiscal Policy Reaction in MERCOSUR Post-Crisis Scenario: A GVAR Approach. Banco Central del Uruguay.spa
dc.relation.referencesNyblom, J. (1989). Testing for the constancy of parameters over time. Journal of the American Statistical Association, 84 (405), 223-230.spa
dc.relation.referencesPark, H. J., & Fuller, W. A. (1995). Alternative estimators and unit root tests for the autoregressive process. Journal of Time Series Analysis, 16 (4), 415-429.spa
dc.relation.referencesPesaran, M. H., Schuermann, T., & Weiner, M. S. (2004a). Rejoinder Comments on Modeling Regional Interdependencies Using a Global Error-Correcting Macroeconometric Model. Journal of Business & Economic Statistics, 22, 129-162.spa
dc.relation.referencesPesaran, M. H., Schuermann, T., & Weiner, S. M. (2004b). Modeling regional interdependencies using a global error-correcting macroeconometric model. Journal of Business & Economic Statistics, 22 (2), 129-162.spa
dc.relation.referencesPesaran, M. H., Shin, Y., & Smith, R. J. (2000). Structural analysis of vector error correction models with exogenous I (1) variables. Journal of Econometrics, 97 (2), 293-343.spa
dc.relation.referencesPesaran, M. H., & Smith, R. (2006). Macroeconometric modelling with a global perspective. The Manchester School, 74, 24-49.spa
dc.relation.referencesPloberger, W., & Kr¨amer, W. (1992). The CUSUM test with OLS residuals. Econometrica: Journal of the Econometric Society, 271-285.spa
dc.relation.referencesQuandt, R. E. (1960). Tests of the hypothesis that a linear regression system obeys two separate regimes. Journal of the American statistical Association, 55 (290), 324-330.spa
dc.relation.referencesRebucci, A., Hartley, J. S., & Jiménez, D. An event study of COVID-19 central bank quantitative easing in advanced and emerging economies. En: En Essays in honor of M. Hashem Pesaran: Prediction and macro modeling. Vol. 43. Emerald Publishing Limited, 2022, pp. 291-322.spa
dc.relation.referencesRey, H. (2015). Dilemma not trilemma: the global financial cycle and monetary policy independence (inf. t´ec.). National Bureau of Economic Research.spa
dc.relation.referencesSgherri, M. S., & Galesi, M. A. (2009). Regional financial spillovers across Europe: A global VAR analysis. International Monetary Fund.spa
dc.relation.referencesSims, C. A. (1992). Interpreting the macroeconomic time series facts: The effects of monetary policy. European economic review, 36 (5), 975-1000.spa
dc.relation.referencesSims, C. A., & Zha, T. (2006). Does monetary policy generate recessions? Macroeconomic Dynamics, 10 (2), 231-272.spa
dc.relation.referencesSmith, L, & Galesi, A. (2014). GVAR Toolbox 2.0. University of Cambridge: Judge Business School.spa
dc.relation.referencesSolís González, B. (2015). Global Spillover Effects from Unconventional Monetary Policy During the Crisis.spa
dc.relation.referencesStock, J. H., & Watson, M. W. (1996). Evidence on structural instability in macroeconomic time series relations. Journal of Business & Economic Statistics, 14 (1), 11-30.spa
dc.relation.referencesSvensson, L. E., & Wijnbergen, S. v. (1989). Excess capacity, monopolistic competition, and international transmission of monetary disturbances. The Economic Journal, 99 (397), 785-805.spa
dc.relation.referencesSznajderska, A. (2019). The role of China in the world economy: evidence from a global VAR model. Applied Economics, 51 (15), 1574-1587.spa
dc.relation.referencesTakáts, E., & Vela, A. (2014). International monetary policy transmission. BIS paper, (78b).spa
dc.relation.referencesVansteenkiste, I. (2007). Regional housing market spillovers in the US: lessons from regional divergences in a common monetary policy setting.spa
dc.relation.referencesVargas, M. M., & Hess, D. (2019). The Caribbean and its linkages with the world: A GVAR model approach. International Monetary Fund.spa
dc.relation.referencesXu, T. (2012). The role of credit in international business cycles.spa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.rights.licenseAtribución-NoComercial-SinDerivadas 4.0 Internacionalspa
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/spa
dc.subject.ddc330 - Economía::337 - Economía internacionalspa
dc.subject.jelF42 International Policy Coordination and Transmissioneng
dc.subject.proposalGVARspa
dc.subject.proposalGVAReng
dc.subject.proposalVAR globalspa
dc.subject.proposalVAR globaleng
dc.subject.proposalPolítica monetaria de los Estados Unidosspa
dc.subject.proposalUS monetary policyeng
dc.subject.proposalMecanismo de transmisiónspa
dc.subject.proposalTransmission mechanismeng
dc.subject.proposalAmérica Latinaspa
dc.subject.proposalLatin Americaeng
dc.subject.proposalEconomías emergentesspa
dc.subject.proposalEmerging economieseng
dc.subject.proposalSpillovers internacionalesspa
dc.subject.proposalInternational spilloverseng
dc.subject.unescoPolítica monetariaspa
dc.subject.unescoMonetary policyeng
dc.subject.unescoMacroeconomíaspa
dc.subject.unescoMacroeconomicseng
dc.subject.unescoAnálisis económicospa
dc.subject.wikidataEconomic analysiseng
dc.titleMecanismo de transmisión de política monetaria en Estados Unidos hacia América Latina y otras economías emergentes: una aplicación del modelo GVAR (2002Q1 - 2019Q4)spa
dc.title.translatedTransmission mechanism of monetary policy from the United States to Latin America and other emerging economies: an application of the GVAR model (2002Q1 - 2019Q4)eng
dc.typeTrabajo de grado - Maestríaspa
dc.type.coarhttp://purl.org/coar/resource_type/c_bdccspa
dc.type.coarversionhttp://purl.org/coar/version/c_ab4af688f83e57aaspa
dc.type.contentTextspa
dc.type.driverinfo:eu-repo/semantics/masterThesisspa
dc.type.redcolhttp://purl.org/redcol/resource_type/TMspa
dc.type.versioninfo:eu-repo/semantics/acceptedVersionspa
dcterms.audience.professionaldevelopmentInvestigadoresspa
dcterms.audience.professionaldevelopmentResponsables políticosspa
oaire.accessrightshttp://purl.org/coar/access_right/c_abf2spa

Archivos

Bloque original

Mostrando 1 - 1 de 1
Cargando...
Miniatura
Nombre:
1030653309.2025.pdf
Tamaño:
2.8 MB
Formato:
Adobe Portable Document Format
Descripción:
Tesis de Maestría en Ciencias Económicas

Bloque de licencias

Mostrando 1 - 1 de 1
Cargando...
Miniatura
Nombre:
license.txt
Tamaño:
5.74 KB
Formato:
Item-specific license agreed upon to submission
Descripción: