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Could macroeconomic factors such as income inequality be the real root cause of financial crises? We explore a broad variety of financial and macroeconomic variables and employ a general-to-specific model selection process to find the most reliable predictors of financial crises in developed countries over a period of more than 100 years. Our in-sample results indicate that income inequality has predictive power beyond loan growth and several other financial variables. Out-of-sample forecasts for individual predictors show that their predictive power tends to vary considerably over time, but income inequality has predictive power in each forecasting period.

Die Dis cus si on Pape rs die nen einer mög lichst schnel len Ver brei tung von neue ren For schungs arbei ten des ZEW. Die Bei trä ge lie gen in allei ni ger Ver ant wor tung der Auto ren und stel len nicht not wen di ger wei se die Mei nung des ZEW dar.Dis cus si on Papers are inten ded to make results of ZEW research prompt ly avai la ble to other eco no mists in order to encou ra ge dis cus si on and sug gesti ons for revi si ons. The aut hors are sole ly respon si ble for the con tents which do not neces sa ri ly repre sent the opi ni on of the ZEW. Abstract European banks are exposed to a substantial amount of risky sovereign debt. The "missing bank capital" resulting from the zero-risk weight exemption for European banks for European sovereign debt amplifies the co-movement between sovereign CDS spreads and facilitates cross-border financial-crisis spillovers. Risks spill over from risky periphery sovereigns to safer core countries, but not in the opposite direction nor for exposures to countries not exempted from risk-weighting. We consider the trade-off of benefits of sovereign debt (for banks and sovereigns) and spillover risk when applying risk-weights. More bank capital as well as positive risk-weighting for sovereign exposures mitigates spillovers.JEL classification: G01, G21, G28, G14, G15, F23

We examine how bank funding structure and securitization activities affect the currency denomination of business loans. We analyze a unique data set that includes information on the requested and granted loan currency for 99,490 loans granted to 57,464 firms by a Bulgarian bank. Our findings document that foreign currency lending is at least partially driven by bank eagerness to match the currency structure of assets with that of liabilities. Our results also show that loan currency, as well as loan amount and maturity, are adjusted to make loans eligible for securitization. AbstractWe examine how bank funding structure and securitization activities affect the currency denomination of business loans. We analyze a unique dataset that includes information on the requested and granted loan currency for 99,490 loans granted to 57,464 firms by a Bulgarian bank. Our findings document that foreign currency lending is at least partially driven by bank eagerness to match the currency structure of assets with that of liabilities. Our results also show that loan currency, as well as loan amount and maturity, are adjusted to make loans eligible for securitization.(90 words)