Financial crises and the composition of cross-border lending

We examine the composition and drivers of cross-border bank lending between 1995 and 2012, distinguishing between syndicated and non-syndicated loans. We show that on-balance sheet syndicated loan exposures, which account for almost one third of total cross-border loan exposures, increased during the global financial crisis due to large drawdowns on credit lines extended before the crisis. Our empirical analysis of the drivers of cross-border loan exposures in a large bilateral dataset leads to three main results. First, banks with lower levels of capital favor syndicated over other kinds of cross-border loans. Second, borrower country characteristics such as level of development, economic size, and capital account openness, are less important in driving syndicated than non-syndicated loan activity, suggesting a diversification motive for syndication. Third, information asymmetries between lender and borrower countries became more binding for both types of cross-border lending activity during the recent crisis.     

Value-at-Risk (VaR) Computations Under Various VaR Models and Stress Testing

SUMMARY

Bank for International Settlements (BIS) proposes that all banks calculate and report amount of market risk they incur and allocate sufficient amount of capital starting at the beginning of year 2002. BIS also suggests that value-at-risk (VaR) models in computing market risk should be used. The Turkish Bank Regulation and Supervision Agency already required all Turkish banks to compute and periodically report market risk and reserve adequate amount of capital since January, 2002. This study mimics an average trading marketable securities portfolio subject to market risk of the four largest Turkish banks. The publicly available quarterly financial reports of year 2001 for Isbank, Garanti, Yapi Kredi and Akbank are examined, and a mimicking portfolio composition is determined as bond investments; 60% in Turkish currency (TRL), 20% in American dollar (USD) and 20%in Euro (EUR). The VaR amounts of the mimicking portfolio are computed by applying Historical Simulation, Monte Carlo Simulation, Delta-Normal and Standard Methods. Finally, stress test is applied for each of the models by using crisis scenarios. The Turkish financial crises of November 2000 and February 2001 are simulated as stress scenarios. The results of stress testing reveal that all methods except standard method can stand the crisis in November 2000, but none of the models can stand the crisis in February 2001.     

商业银行表外业务信用风险管理研究

对商业银行表内业务信用风险的管理,目前国际上有许多成熟的成果。但最近,商业银行表外业务占据了越来越重要的地位,其风险管理也引起了关注。本文论述了表外业务具有高杠杆性等特点,当今国外表外业务迅猛发展势头及我国的表外业务现状,说明加强对表外业务信用风险管理的必要性。文章引介了两种度量表外业务信用风险度量的方法:BIS模型和信用风险度量术,最后对这两种方法进行了实例分析。     

What drives local lending by global banks?

We find that the lending behavior of global banks’ subsidiaries throughout the world is more closely related to local macroeconomic conditions and their financial conditions than to those of their owner-specific counterparts. This inference is drawn from a panel dataset populated with bank-level observations from the Bankscope database. Using this database, we identify ownership structures and incorporate them into a unique methodology that identifies and compares the owner and subsidiary-specific determinants of lending. A distinctive feature of our analysis is that we use multi-dimensional country-level data from the BIS international banking statistics to account for exchange rate fluctuations and cross-border lending.