International Financial Integration and Crisis Intensity.ppt
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1、International Financial Integration and Crisis Intensity,Andrew K. Rose UC Berkeley, NBER and CEPR (collaborator with Mark Spiegel),1,ASEAN Presentation, Seoul December 2010,What Caused the 2008-09 Crisis?,Defining macroeconomic event of generations A recent “Natural Experiment” Did International Fi
2、nancial Integration play any significant role? If so, multilateral or bilateral ties matter most? If bilateral, which country matters most for exposure/insurance? Big Asian Economies: China; Japan; Korea. United States,ASEAN Presentation, Seoul December 2010,2,Non-Structural Methodology,MIMIC (multi
3、ple-indicator, multiple cause) model explicitly incorporate difficulties in observing relative crisis severity Treats crisis as a latent variable Observed with error as function of observable manifestations Also do OLS, graphical analysis Sample is cross-section of 85 countries,3,ASEAN Presentation,
4、 Seoul December 2010,Crisis Performance is Latent Variable Mapping Observable Causes to Observable Manifestations,4 Manifestations from 2008-09: equity market collapse, exchange rate devaluation, economic growth, and change in creditworthiness Compare to 2006 vulnerabilities (causes) National causes
5、 International financial linkages,4,ASEAN Presentation, Seoul December 2010,Results, 1,Plausible estimates of relative severity of crisis Ex: Iceland and Latvia identified as exceptionally bad Most Asians have mild crises Use literature to find three “national” crisis causes (determinants from 2006)
6、 Real Income (negative “progressive” effect”) Financial Market Regulation (looser worse crisis) Current Account (% GDP) (deficit worse),5,ASEAN Presentation, Seoul December 2010,Results, 2,Less success linking crisis to integration variables No multilateral variables consistently enter at statistica
7、lly significant levels Most bilateral variables irrelevant too Little effect of: a) banking exposure; b) debt denomination; c) Fed swap lines Asset exposure (CPIS) matters, but not strong More exposure to US more mild crisis!,ASEAN Presentation, Seoul December 2010,6,Data,7,ASEAN Presentation, Seoul
8、 December 2010,Empirical Strategy,Exploit recent international cross section “Great Recession” a “natural experiment” Dont have to rely on time-series/panel data All information country-specific initially Then add linkages between countries National characteristics may influence vulnerability to for
9、eign shocks Medical analogy: common shocks vs. contagion,8,ASEAN Presentation, Seoul December 2010,Data Span,As crisis hit all types of countries, include both developed and EMEs All countries $10,000 per capita GDPAll countries $4,000 per capita GDP, plus population 1 million (WB: upper middle inco
10、me) Maximum of 85 countries in sample Use only publicly-available series available for reasonable span of countries,9,ASEAN Presentation, Seoul December 2010,Sample of Countries,ASEAN Presentation, Seoul December 2010,10,Differences in Crisis Severity (Manifestations/Consequences),Crisis intensity o
11、nly observed with error e.g. Berg, et al (2004) Abundant measurement error likely Initially model severity as a latent variable linked to four observable indicators for 2008-09 GDP growth (%) Change in National Equity Markets (stocks, %) Change in multilateral SDR exchange rate (%) Change in Euromon
12、ey country credit rating March 2008 - March 2010,11,ASEAN Presentation, Seoul December 2010,Table 1: Crisis Manifestations,ASEAN Presentation, Seoul December 2010,12,Methodology,13,ASEAN Presentation, Seoul December 2010,MIMIC model,MIMIC model consists of two sets of equations: (1)(2)where is crisi
13、s indicator, is an observation for potential crisis cause; is latent variable representing severity of the crisis (or lack thereof in our case), and and are well-behaved disturbances Equation (1) links observable (2008-09) manifestations of the crisis to latent variable Equation (2) links latent var
14、iable to (2006) crisis causes,14,ASEAN Presentation, Seoul December 2010,Characteristics of MIMIC Model,Substitute (2) into (1), eliminate latent variable MIMIC model is then a system of J (=4) equations with right hand sides restricted to be proportional With normalization, system is identified Nor
15、malize on equity returns (Breusch) Desirable feature of MIMIC model is ability to systematically address measurement error Estimate with STATA using GLLAMM model Rebe-Hesketh, et al (2004),15,ASEAN Presentation, Seoul December 2010,What Determinants are Associated with Crisis Incidence?,Survey liter
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