A contribution to the study of volatility and country risk is made in order to achieve a successful crosscountry comparison. We present a methodology for the evaluation of country risk that include endogenous detection of multiple structural breaks (also identifying its different kinds), determination of persistence of shocks through their structural-break free fractional integration order and determination of the adjusted volatility which best characterizes the economy. This methodology is applied to developed and emerging countries' GDPs (taking 9 countries from each group). Although the former have fewer structural breaks than the latter, these breaks are extremely relevant in 14 of the 18 countries. This affects the calculation of the series persistence and volatility. Comparing a traditional risk indicator to our suggested one we find that the cluster of reference of 60% of the countries changes. Most countries present fractional integration (long memory) being the distribution between both groups heterogeneous. Country volatility varies strongly if we isolate structural breaks that present a probabilistic distribution different from intrinsic GDP volatility. Clusters arrangement is different with some risk country evaluation methodologies.
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Paper provided by University Library of Munich, Germany in its series MPRA Paper with number
7846.
Find related papers by JEL classification: E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Determination of Interest Rates; Term Structure of Interest Rates F37 - International Economics - - International Finance - - - International Finance Forecasting and Simulation C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
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