Abstract
One of the major challenges involved in risk aggregation is the lack of risk data. Recently, researchers have found that mapping financial statements into risk types is a satisfactory way to resolve the problem of data shortage and inconsistency. Nevertheless, ignoring off-balance sheet (OBS) items has so far been regarded as the usual practice in risk aggregation, which may lead to deviations in conclusions. Hence, we improve the financial statements based risk aggregation framework by mapping OBS items into risk types. Based on 487 quarterly financial statements from all 16 listed Chinese commercial banks over the period 2007–2014, we empirically study whether the overall impact of OBS activities and the individual impact of each of the OBS risk types on total risk depend on bank size. Moreover, this research divides the sample into two subsets, during and after the subprime crisis, to find out how the subprime crisis affects risks of Chinese banks. Our empirical results show that although OBS credit risk is positively linked to total risk while OBS operational risk is negatively linked to total risk for both large and small banks, the overall impact of OBS activities on total risk depends on bank size. The overall OBS activities are positively related to the large bank’s total risk while they are negatively related to the small bank’s total risk. Besides, we also found that it is the increase of liquidity risk and market risk that leads to the larger total risk of Chinese banks during the subprime crisis.
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Acknowledgements
This research has been supported by grants from the National Natural Science Foundation of China (71425002, 71601178, 71433001, 91218302) and the Youth Innovation Promotion Association of the Chinese Academy of Sciences (2012137, 2013112, and 2017200). Our early versions were accepted for presentation at the 22nd and 23rd PBFEAM conferences. We are really grateful for comments and suggestions from seminar participants at meetings. The author also would like to thank the anonymous reviewers for their very valuable and professional suggestions.
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Li, J., Wei, L., Lee, CF. et al. Financial statements based bank risk aggregation. Rev Quant Finan Acc 50, 673–694 (2018). https://doi.org/10.1007/s11156-017-0642-0
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DOI: https://doi.org/10.1007/s11156-017-0642-0