Skip to main content

Table 6 Regressions of CIR on size group, D-SIB and G-SIB dummies and controls

From: Scale effects on efficiency and profitability in the Swiss banking sector

 

(1)

(2)

(3)

(4)

(5)

(6)

Non-SIB, size quintile 2

\(-\)4.115**

\(-\)5.314***

\(-\)5.339***

\(-\)2.055

\(-\)4.742**

\(-\)4.743**

(1.663)

(1.346)

(1.542)

(2.333)

(1.835)

(1.983)

Non-SIB, size quintile 3

\(-\)2.327

\(-\)5.610***

\(-\)5.810***

\(-\)0.741

\(-\)4.899**

\(-\)4.835**

(1.956)

(1.778)

(1.814)

(2.645)

(2.371)

(2.307)

Non-SIB, size quintile 4

\(-\)4.733**

\(-\)9.402***

\(-\)9.619***

\(-\)5.722**

\(-\)11.484***

\(-\)11.439***

(2.052)

(1.812)

(1.714)

(2.747)

(2.563)

(2.151)

Non-SIB, size quintile 5

\(-\)6.775***

\(-\)13.489***

\(-\)13.634***

\(-\)10.676***

\(-\)17.375***

\(-\)17.203***

(2.149)

(1.976)

(1.799)

(2.763)

(2.813)

(2.217)

D-SIB

1.739

\(-\)6.949**

\(-\)5.884***

1.668

\(-\)8.985**

\(-\)8.873***

(1.788)

(2.750)

(1.623)

(2.413)

(3.836)

(1.798)

G-SIB

15.473***

\(-\)5.457

\(-\)0.658

14.368***

\(-\)12.049

\(-\)15.479***

(2.527)

(5.706)

(2.916)

(2.060)

(14.525)

(1.939)

Controls?

No

Yes, unconstr.

Yes, constr.

No

Yes, unconstr.

Yes, constr.

Year FE?

Yes

Yes

Yes

Yes

Yes

Yes

Years

All

All

All

2010–2019

2010–2019

2010–2019

Banks

All

All

All

All

All

All

Nr. banks

155

145

145

101

101

101

N

2504

2343

2343

928

926

926

Mean(dep. var.)

54.27

54.68

54.68

58.41

58.43

58.43

SD(dep. var.)

10.27

10.20

10.20

9.69

9.66

9.66

Adj. R2

0.27

0.37

.36

0.23

0.36

.36

  1. Robust standard errors (clustered by bank) in parentheses.
  2. Significance: *\(<0.1\), *\(<0.05\), ***\(<0.01\)