94 = 0.00000003946 – eight.0010 = 0.00000001999 – 28.9 eight 7 6 5 4 3 2Return on Equity on the Xaliproden site banking sector in Germany
94 = 0.00000003946 – eight.0010 = 0.00000001999 – 28.9 eight 7 6 5 4 3 2Return on Equity of the banking sector in Germany (in %)FranceGermanyItalyEuro AreaReturn on Equity of your banking sector in France (in percent)—–240 000260 000280 000300 000320 000340 000360 000380 000400 000420 000440 000460 000-12 360 000 000 380 000400 000 000 420 000440 000 000 460 000480 000Risk capital in the banking sector in France (in thous. of EUR)Threat capital of your banking sector in Germany (in thous. of EUR)8 Return on Equity of the banking sector of teh euro area (in %)8 six Return on Equity on the banking sector in Italy (in %) 4 two 0 -2 -4 -6 -8 -10 -12 —-16 150 000 000 160 000 000 170 000 000 180 000 000 190 000 000 155 000 000 165 000 000 175 000 000 185 000 000 Danger capital from the banking sector in Italy (in thous. of EUR)-6 1 350 000 000 1 450 000 000 1 550 000 000 1 650 000 000 1 750 000 000 1 400 000 000 1 500 000 000 1 600 000 000 1 700 000 000 Risk capital from the banking sector in the euro area (in thous. of EUR)Figure 5. Two-dimensional scatterplots of stage 22 (supply: personal function). Figure five. Two-dimensional scatterplots of stage (supply: own perform).The third stage in the investigation was concentrated on the dependencies in between the costthe The third stage of the research was concentrated around the dependencies in between income ratio (CIR) and and threat capital. We employed precisely the same process as just before. The price income ratio (CIR) risk capital. We utilised precisely the same process as prior to. The investigation reprovides weak weak correlations among the analyzed variables in all banking sectors search delivers correlations among the analyzed variables in all banking sectors (see (see Appendix A). The obtained values of descriptive statistics, determined by the regression models (see Table three), at the same time as the observation of two-dimensional scatterplots (see Figure six) indicated that dependencies are so insignificant that they don’t permit to inference according to them.J. Danger Monetary Manag. 2021, 14,11 ofAppendix A). The obtained values of descriptive statistics, determined by the regression models (see Table 3), as well as the observation of two-dimensional scatterplots (see Figure six) indicated that dependencies are so insignificant that they do not let to inference J. Risk Monetary Manag. 2021, 14, x FORbasedREVIEW PEER on them. 11 ofTable 3. Regression models of stage 3 (supply: own operate). FranceTable three. Germany models of stage three (source: personal perform). Regression Italy = 0.000000006599 + 71.y= Germany 0.000000006599x + 71.Euro Area= 0.000000009505 + 66.78 Cost Earnings Ratio with the banking sector in France (in percent)y= France 0.000000009505x + 66.y= y= Italy Euro Region -= -0.00000007571 0.00000007571x + 77.5979 -0.0000000000218x + 65.1612 = -0.0000000000218 + 77.5979 + 65.94 92 Cost Revenue Ratio in the banking sector in Germany (in %)90 88 86 84 82 80 78 76 74 72 70 68240 000260 000280 000300 000320 000340 000360 000380 000400 000420 000440 000460 00064 360 000 000 380 000400 000 000 420 000440 000 000 460 000480 000Risk capital of the banking sector in France (in thous. of EUR)Danger capital of the banking sector in Germany (in thous. of EUR)76 Price Income Ratio from the banking sector in Italy (in %)76 Price Earnings Ratio from the banking sector on the euro region (in percent)Danger capital of your banking sector in Italy (in thous. of EUR)74 72 70 68 66 64 6274 72 70 68 66 64 6258 150 000 000 160 000 000 170 000 000 180 000 000 190 000 000 155 000 000.
