[2] Baldi, P., Brunak, S., Chauvin Y., Andersen, C. and H. Nielsen, (2000): “Assessing
the accuracy of prediction algorithms for classification: an overview”, Bioinformatics
Review, 16 (5), 412-424.
[3] Berg, A., Borensztein, E., Milesi-Ferretti, G.M. and C. Pattillo (1999):“Anticipating
Balance of Payments Crises: The Role of Early Warning Systems,” IMF occasional
paper 186.
[4] Berg, A. and C. Pattillo, (1999): “Predicting currency crises: the indicators approach
and an alternative”, Journal of International Money and Finance, 18, 561-586.
[5] Berg, A., Borensztein E., and C. Pattillo, (2004): “Assessing Early Warning Systems:
How Have They Worked in Practice?”, IMF working paper 04/052.
[6] Bussiere, M. and Fratzscher, M. (2002): “Towards a new early warning system of finan-
cial crises”, European Central Bank working paper 145.
[7] Calvo, G.A., (1999): “Contagion in emerging markets: when Wall Street is a career”,
University of Maryland Discussion Paper.
[8] Calvo, G.A. and E. Mendoza, (2000) “Rational contagion and globalisation of securities
markets”, Journal of International Economics, 51(1), 79-113.
[9] Chang, R. and A. Velasco (1999): “Liquidity crises in emerging markets: theory and
policy”, NBER working paper 7272
[10] Chauvet, M. and F. Dong (2004) “Leading Indicators of Country Risk and Currency
Crises “ The Asian Experience,” Economic Review, Federal Reserve Bank of Atlanta,
First Quarter, Vol. 89, No. 1, 26-37, 2004.
[11] Cipollini, A. and Kapetanios, G. (2003): “Dynamic Factor analysis of financial conta-
gion in Asia”, Queen Mary, University of London, working paper 498.
[12] Forni, M., Giannone, D., Lippi, M., Reichlin L. (2005): “Opening the Black Box: struc-
tural factor model versus structural VAR models” CEPR discussion paper 4133.
[13] Frankel, J. A., and A.K. Rose (1996): “Currency Crashes in Emerging Markets: an
empirical treatment”, Journal of International Economics, 41, 351-66.
[14] Fuertes, A. and Kalotychou E. (2006a): “Early warning system for soverign debt crisis:
the role of heterogeneity”, Computational Statistics and Data Analysis, 51(2), 1420-
1441.
17
More intriguing information
1. Experience, Innovation and Productivity - Empirical Evidence from Italy's Slowdown2. A Study of Adult 'Non-Singers' In Newfoundland
3. The name is absent
4. The growing importance of risk in financial regulation
5. The Effects of Attendance on Academic Performance: Panel Data Evidence for Introductory Microeconomics
6. Activation of s28-dependent transcription in Escherichia coli by the cyclic AMP receptor protein requires an unusual promoter organization
7. The name is absent
8. The name is absent
9. The name is absent
10. Output Effects of Agri-environmental Programs of the EU