We estimate a panel error correction model for loan loss provisions, using unique supervisory data on flow of funds into and out of the allowance for loan losses of 25 Dutch banks in the post-2008 crisis period. We find that these banks aim for an allowance of 49% of impaired loans. In the short run, however, the adjustment of the allowance is only 29% of the change in impaired loans. The deviation from the target is made up by (a) larger additions to allowances in subsequent quarters and (b) smaller reversals of allowances when loan losses do not materialize. After one quarter, the adjustment toward the target level is 34% and after four quarters is 81%. For individual banks, there are substantial differences in timing of provisioning for bad loan losses. We present two model-based metrics that inform supervisors on the extent to which banks' short-term provisioning behaviour is out of sync with their target levels.
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机译:具有附加功能的在线房屋贷款比较计算器,允许用户确定将太阳能光伏系统的成本增加到原始房屋贷款金额中的净效果。 Solar Home Loan Calculator允许用户将2种不同的贷款金额与2种不同或相等的利率进行比较,以贷款支付的形式显示净损失或收益。该计算器还允许用户以美元为单位输入由太阳能光伏系统产生的节电,作为额外的贷款还款,说明整体房屋贷款应付利息,贷款期限和LVR减少。