Banks provide risky loans to firms which have superior information regarding the quality of their projects. Due to asymmetric information the banks face the risk of adverse selection. Credit Value-at-Risk (CVaR) regulation counters the problem of low quality, i.e. high risk, loans and therefore...

We scrutinize the use of value at risk as traders' limit in banks. Thereby, we compare a bank with uninformed traders dealing on a perfect capital market, with a bank in which traders receive a noisy signal about the future price of the stock they are dealing in. Additionally, they are able to...

In this study, we try to examine whether the forecast errors obtained by the ANN models affect the breakout of financial crises. Additionally, we try to investigate how much the asymmetric information and forecast errors are reflected on the output values. In our study, we used the exchange rate...