This paper uses a Binary Classification Tree (BCT) model to analyze banking crises in 50 emerging market and developing countries during 1990-2005. The BCT model identifies three conditions (and the specific threshold of the key indictors) at which the vulnerability to banking crisis increases--(i) very high inflation, (ii) highly dollarized bank deposits combined with nominal depreciation or low bank liquidity, and (iii) low bank profitability--which highlight that foreign currency risk, poor financial soundness, and macroeconomic instability are important drivers of banking crises. The results also emphasize the importance of conditional thresholds in triggering crises, in that banking crises are underlined by a combination of vulnerabili...
The existing empirical literature on banking crises has not produced agreement on their causes. Usin...
During the Global Financial Crisis (GFC), a number of countries suffered banking crises. This thesis...
We use a machine learning approach, namely AdaBoost, to rank the determinants of banking crises over...
The paper examines a wide range of potential predictors of 25 international banking crises that bro...
This thesis focuses on the identification, propagation, and prediction of banking crises and on the ...
JEL Classification: E44, G21 Keywords: banking sector, banking crises, emerging markets The existing...
The paper studies the factors associated with the emergence of systemic banking crises in a large sa...
This paper employs a recent statistical algorith m (CRAGGING) in order to build an early warning m...
This paper identifies determinants associated with probability of banking crisis in developing count...
In the 1980s and 1990s several countries experienced banking crises. The authors try to identify fea...
This study measures the severity of a banking crisis by using its duration and the cost. Using this ...
This paper analyzed the interplay between banking crises and the business cycle behaviour and its im...
This paper employs a recently developed statistical algorithm in order to build an early warning mod...
This article develops an index of money market pressure to identify banking crises. We define bankin...
This paper investigates the interaction between aggregate risk, financial fragility, and the macroec...
The existing empirical literature on banking crises has not produced agreement on their causes. Usin...
During the Global Financial Crisis (GFC), a number of countries suffered banking crises. This thesis...
We use a machine learning approach, namely AdaBoost, to rank the determinants of banking crises over...
The paper examines a wide range of potential predictors of 25 international banking crises that bro...
This thesis focuses on the identification, propagation, and prediction of banking crises and on the ...
JEL Classification: E44, G21 Keywords: banking sector, banking crises, emerging markets The existing...
The paper studies the factors associated with the emergence of systemic banking crises in a large sa...
This paper employs a recent statistical algorith m (CRAGGING) in order to build an early warning m...
This paper identifies determinants associated with probability of banking crisis in developing count...
In the 1980s and 1990s several countries experienced banking crises. The authors try to identify fea...
This study measures the severity of a banking crisis by using its duration and the cost. Using this ...
This paper analyzed the interplay between banking crises and the business cycle behaviour and its im...
This paper employs a recently developed statistical algorithm in order to build an early warning mod...
This article develops an index of money market pressure to identify banking crises. We define bankin...
This paper investigates the interaction between aggregate risk, financial fragility, and the macroec...
The existing empirical literature on banking crises has not produced agreement on their causes. Usin...
During the Global Financial Crisis (GFC), a number of countries suffered banking crises. This thesis...
We use a machine learning approach, namely AdaBoost, to rank the determinants of banking crises over...