银行流动性的内生选择:甩卖的作用

V. Acharya, H. Shin, Tanju Yorulmazer
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引用次数: 27

摘要

银行的流动性是银行业危机逆境的关键决定因素。在本文中,我们考虑了在危机期间贱卖和进入对银行预先选择的流动性资产持有的影响。我们考虑了风险现金流相对于安全现金流质押能力有限的环境,以及银行和外部机构在使用银行资产方面的不同专业知识。当大量银行倒闭时,市场上的资产只会以跳楼价出售,如果价格跌得足够低,外部人士就会进入市场。在这样的国家,银行通过购买资产获得了流动性资产的私人利益。这还有一个社会效益,因为银行体系流动性的增加减少了从资产清算到外部的低效率。例如,在资本市场发达的国家,当高风险现金流的可质押性较高时,由于风险转移激励,银行持有的流动性低于社会最优水平;否则,银行持有的流动性可能会超过从贱卖中获利的社会最优水平。然而,如果存在与危机相关的系统性成本,例如,与提供存款保险相关的财政成本,那么社会最优流动性可能总是高于私人最优流动性,反过来,审慎流动性要求形式的监管可能是可取的。我们提供了一些与模型预测一致的关于银行流动资产的国际证据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Endogenous Choice of Bank Liquidity: The Role of Fire Sales
Banks’ liquidity is a crucial determinant of the adversity of banking crises. In this paper, we consider the effect of fire sales and entry during crises on banks’ ex-ante choice of liquid asset holdings. We consider a setting with limited pledgeability of risky cash flows relative to safe ones and a differential expertise between banks and outsiders in employing banking assets. When a large number of banks fail, market for assets clears only at fire-sale prices and outsiders enter the market if prices fall sufficiently low. In such states, there is a private benefit of liquid holdings to banks from purchasing assets. There is also a social benefit since greater banking system liquidity reduces inefficiency from liquidation of assets to outsiders. When pledgeability of risky cash flows is high, for instance, in countries with well-developed capital markets, banks hold less liquidity than is socially optimal due to risk-shifting incentives; otherwise, banks may hold even more liquidity than is socially optimal to capitalise on fire sales. However, if there is a systemic cost associated with crises, for example, in the form of fiscal costs associated with provision of deposit insurance, then socially optimal liquidity may always be higher than the privately optimal one, and, in turn, regulation in the form of prudent liquidity requirements may be desirable. We provide some international evidence on banks’ liquid holdings that is consistent with model’s predictions.
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