Table 6.

Double sort on financial sophistication and bank relationship.

This table shows estimates from panel regressions of households’ own bank bond exposure on bank supply-side measures, for different groups of investors. Specifically, we divide investors based on three proxies for financial sophistication: total amount of assets, total income, and the level of education. Additionally, we divide investors based on the length of the bank relationship. We perform a double sort on investor attributes, focusing on households in the top and in the bottom 50 percent of the distribution for each measure. As education is not a continuous variable, we classify as highly educated those who report having either high school or above-high-school education levels. Conversely, we classify as less educated those who report having below-high-school-level education. For assets, we classify high (low) assets as those investors who report having total assets above (below) EUR 200,000. Standard errors are clustered at the investor level and are reported in parentheses. ***, **, and * denote that estimates are statistically significant at the 1, 5, and 10 percent levels.

Bank bond share (Total portfolio)
Low assets and low educationHigh assets and high educationDifference
(1) − (2)
Low income and low educationHigh income and high educationDifference
(4) − (5)

(1)(2)(3)(4)(5)(6)
Funding gap1.38***0.531***0.849***1.15***0.691***0.455**
(0.185)(0.173)(0.253)(0.175)(0.151)(0.231)
ROA−0.319***−0.188***−0.132−0.310***−0.216***−0.093
(0.016)(0.014)(0.021)(0.015)(0.012)(0.019)
Market share0.004**0.0020.0020.005***0.0010.004
(0.002)(0.002)(0.002)(0.002)(0.001)(0.002)

Observations9,66412,49510,62718,462
Adjusted R20.1530.1470.1560.140

Low assets and low rel. lengthHigh assets and high rel. length
  • Difference (1) − (2)

Low income and low rel. lengthHigh income and high rel. length
  • Difference (4) − (5)


(1)(2)(3)(4)(5)(6)

Funding gap1.60***0.969***0.626***1.46***1.04***0.423*
(0.186)(0.159)(0.245)(0.212)(0.160)(0.265)
ROA−0.293***−0.200***−0.093−0.304***−0.217***−0.087
(0.018)(0.012)(0.022)(0.021)(0.012)(0.024)
Market share0.0010.003*−0.0020.0040.0020.002
(0.002)(0.002)0.002(0.002)(0.001)(0.003)

Observations12,60912,1568,64013,191
Adjusted R20.0930.2050.0940.181

Investor characteristicsYesYesYesYes
Bond characteristicsYesYesYesYes
Bank FEYesYesYesYes
Year FEYesYesYesYes
Province FEYesYesYesYes
Bank bond share (Total portfolio)
Low assets and low educationHigh assets and high educationDifference
(1) − (2)
Low income and low educationHigh income and high educationDifference
(4) − (5)

(1)(2)(3)(4)(5)(6)
Funding gap1.38***0.531***0.849***1.15***0.691***0.455**
(0.185)(0.173)(0.253)(0.175)(0.151)(0.231)
ROA−0.319***−0.188***−0.132−0.310***−0.216***−0.093
(0.016)(0.014)(0.021)(0.015)(0.012)(0.019)
Market share0.004**0.0020.0020.005***0.0010.004
(0.002)(0.002)(0.002)(0.002)(0.001)(0.002)

Observations9,66412,49510,62718,462
Adjusted R20.1530.1470.1560.140

Low assets and low rel. lengthHigh assets and high rel. length
  • Difference (1) − (2)

Low income and low rel. lengthHigh income and high rel. length
  • Difference (4) − (5)


(1)(2)(3)(4)(5)(6)

Funding gap1.60***0.969***0.626***1.46***1.04***0.423*
(0.186)(0.159)(0.245)(0.212)(0.160)(0.265)
ROA−0.293***−0.200***−0.093−0.304***−0.217***−0.087
(0.018)(0.012)(0.022)(0.021)(0.012)(0.024)
Market share0.0010.003*−0.0020.0040.0020.002
(0.002)(0.002)0.002(0.002)(0.001)(0.003)

Observations12,60912,1568,64013,191
Adjusted R20.0930.2050.0940.181

Investor characteristicsYesYesYesYes
Bond characteristicsYesYesYesYes
Bank FEYesYesYesYes
Year FEYesYesYesYes
Province FEYesYesYesYes
Table 6.

Double sort on financial sophistication and bank relationship.

This table shows estimates from panel regressions of households’ own bank bond exposure on bank supply-side measures, for different groups of investors. Specifically, we divide investors based on three proxies for financial sophistication: total amount of assets, total income, and the level of education. Additionally, we divide investors based on the length of the bank relationship. We perform a double sort on investor attributes, focusing on households in the top and in the bottom 50 percent of the distribution for each measure. As education is not a continuous variable, we classify as highly educated those who report having either high school or above-high-school education levels. Conversely, we classify as less educated those who report having below-high-school-level education. For assets, we classify high (low) assets as those investors who report having total assets above (below) EUR 200,000. Standard errors are clustered at the investor level and are reported in parentheses. ***, **, and * denote that estimates are statistically significant at the 1, 5, and 10 percent levels.

Bank bond share (Total portfolio)
Low assets and low educationHigh assets and high educationDifference
(1) − (2)
Low income and low educationHigh income and high educationDifference
(4) − (5)

(1)(2)(3)(4)(5)(6)
Funding gap1.38***0.531***0.849***1.15***0.691***0.455**
(0.185)(0.173)(0.253)(0.175)(0.151)(0.231)
ROA−0.319***−0.188***−0.132−0.310***−0.216***−0.093
(0.016)(0.014)(0.021)(0.015)(0.012)(0.019)
Market share0.004**0.0020.0020.005***0.0010.004
(0.002)(0.002)(0.002)(0.002)(0.001)(0.002)

Observations9,66412,49510,62718,462
Adjusted R20.1530.1470.1560.140

Low assets and low rel. lengthHigh assets and high rel. length
  • Difference (1) − (2)

Low income and low rel. lengthHigh income and high rel. length
  • Difference (4) − (5)


(1)(2)(3)(4)(5)(6)

Funding gap1.60***0.969***0.626***1.46***1.04***0.423*
(0.186)(0.159)(0.245)(0.212)(0.160)(0.265)
ROA−0.293***−0.200***−0.093−0.304***−0.217***−0.087
(0.018)(0.012)(0.022)(0.021)(0.012)(0.024)
Market share0.0010.003*−0.0020.0040.0020.002
(0.002)(0.002)0.002(0.002)(0.001)(0.003)

Observations12,60912,1568,64013,191
Adjusted R20.0930.2050.0940.181

Investor characteristicsYesYesYesYes
Bond characteristicsYesYesYesYes
Bank FEYesYesYesYes
Year FEYesYesYesYes
Province FEYesYesYesYes
Bank bond share (Total portfolio)
Low assets and low educationHigh assets and high educationDifference
(1) − (2)
Low income and low educationHigh income and high educationDifference
(4) − (5)

(1)(2)(3)(4)(5)(6)
Funding gap1.38***0.531***0.849***1.15***0.691***0.455**
(0.185)(0.173)(0.253)(0.175)(0.151)(0.231)
ROA−0.319***−0.188***−0.132−0.310***−0.216***−0.093
(0.016)(0.014)(0.021)(0.015)(0.012)(0.019)
Market share0.004**0.0020.0020.005***0.0010.004
(0.002)(0.002)(0.002)(0.002)(0.001)(0.002)

Observations9,66412,49510,62718,462
Adjusted R20.1530.1470.1560.140

Low assets and low rel. lengthHigh assets and high rel. length
  • Difference (1) − (2)

Low income and low rel. lengthHigh income and high rel. length
  • Difference (4) − (5)


(1)(2)(3)(4)(5)(6)

Funding gap1.60***0.969***0.626***1.46***1.04***0.423*
(0.186)(0.159)(0.245)(0.212)(0.160)(0.265)
ROA−0.293***−0.200***−0.093−0.304***−0.217***−0.087
(0.018)(0.012)(0.022)(0.021)(0.012)(0.024)
Market share0.0010.003*−0.0020.0040.0020.002
(0.002)(0.002)0.002(0.002)(0.001)(0.003)

Observations12,60912,1568,64013,191
Adjusted R20.0930.2050.0940.181

Investor characteristicsYesYesYesYes
Bond characteristicsYesYesYesYes
Bank FEYesYesYesYes
Year FEYesYesYesYes
Province FEYesYesYesYes
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