Effects Of Country Risk Forecasts Based On Foreign Trade Performance And Currency Choices In Asset-Liability Management On Banks’ Liquidity Performance: An Empirical Analysis
Keywords:
Liquidity performance in banks, technical failure, country risk, assetliability structure, Binary Logistic Regression, MARS, TurkeyAbstract
The foremost purpose of this paper that presents some parametric and non-parametric model proposals towards measuring banks’ risk of technical insolvency (failure) as based on their liquidity performance is to discern how specific choices regarding assetliability structure of banks and country risk predictions concerning overall foreign trade performance affect liquidity position of those banks. Moreover, possible impacts of lending efficiency and capital adequacy on liquidity performance are argued. For this purpose, some parametric and non-parametric risk estimation models have been developed using the consolidated financial and non-financial data that were reported on a quarterly basis by 26 Turkish and foreign deposit banks within the period between March 2003 and March 2009 to predict changes in the balances of both net cash flows from banking activities and overall net cash flows. According to the findings of the models developed by undertaking Binary Logistic Regression and Multivariate Adaptive Regression Splines (MARS), it is concluded that foreign trade performance based country risk forecasts are positively correlated with technical failure risk exposure while currency compositions of assets and liabilities are significantly effective on risk level. In addition, we also observe that foreign banks are relatively less exposed to technical failure risk and infer that increasing lending efficiency and better capital adequacy could lead to pretty liquidity performance, as expected.
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