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Yun, J. and Moon, H. (2014) Measuring Systemic Risk in the Korean Banking Sector via Dynamic Conditional Correlation Models. Pacific-Basin Finance Journal, 27, 94-114.
https://doi.org/10.1016/j.pacfin.2014.02.005

has been cited by the following article:

• TITLE: Systemic Risk and Productivity of the Major Australian Banks

  AUTHORS: Necmi K. Avkiran

  KEYWORDS: Australian Major Banks, Domestic Systemic Risk, Sensitivity Analyses, Capital Adequacy, Inter-Connectedness, Productivity

  JOURNAL NAME: Theoretical Economics Letters, Vol.8 No.11, August 7, 2018

  ABSTRACT: We measure the domestic systemic risk of the Australian major banks. We report systemic risk along five categories, namely, size, inter-connectedness, non-substitutability, complexity and domestic sentiment. We then carry out sensitivity analyses by changing equal weights in the categories, and examine the capital adequacy and inter-connectedness of the majors focusing on key ratios. In terms of sensitivity analyses, changing the equal weights do not influence systemic risk considerably, which indicates that the results are robust. Comparing systemic risk to productivity, we find that level systemic risk across time and high productivity are compatible, and rising systemic risk causes some inefficiency.