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Boone Indicator in Banking Market for Togo (DDOI05TGA156NWDB)

2014: 0.12433
Updated: Mar 23, 2022 4:28 PM CDT
2014:  0.12433  
2013:  0.02689  
2012:  0.00944  
2011:  0.00855  
2010:  0.03474  

Units:

Index,
Not Seasonally Adjusted

Frequency:

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1Y5Y10YMax
to
Date:
Bar 1 - Boone Indicator in Banking Market for Togo Vintage: 2019-10-18
Bar 1
(a) Boone Indicator in Banking Market for Togo, Index, Not Seasonally Adjusted (DDOI05TGA156NWDB)
A measure of degree of competition based on profit-efficiency in the banking market. It is calculated as the elasticity of profits to marginal costs. An increase in the Boone indicator implies a deterioration of the competitive conduct of financial intermediaries. A measure of degree of competition, calculated as the elasticity of profits to marginal costs. To obtain the elasticity, the log of profits (measured by return on assets) is regressed on the log of marginal costs. The estimated coefficient (computed from the first derivative of a trans-log cost function) is the elasticity. The rationale behind the indicator is that higher profits are achieved by more-efficient banks. Hence, the more negative the Boone indicator, the higher the degree of competition is because the effect of reallocation is stronger. Estimations of the Boone indicator in this database follow the methodology used by Schaeck and Cihák 2010 with a modification to use marginal costs instead of average costs. Regional estimates of the Boone indicator pool the bank data by regions (for more information, see Hay and Liu 1997; Boone 2001; Boone, Griffith, and Harrison 2005). (Calculated from underlying bank-by-bank data from Bankscope) Source Code: GFDD.OI.05

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    Bar 1 - Boone Indicator in Banking Market for Togo Vintage: 2019-10-18
    Bar 2
    (a) Boone Indicator in Banking Market for Togo, Index, Not Seasonally Adjusted (DDOI05TGA156NWDB)
    A measure of degree of competition based on profit-efficiency in the banking market. It is calculated as the elasticity of profits to marginal costs. An increase in the Boone indicator implies a deterioration of the competitive conduct of financial intermediaries. A measure of degree of competition, calculated as the elasticity of profits to marginal costs. To obtain the elasticity, the log of profits (measured by return on assets) is regressed on the log of marginal costs. The estimated coefficient (computed from the first derivative of a trans-log cost function) is the elasticity. The rationale behind the indicator is that higher profits are achieved by more-efficient banks. Hence, the more negative the Boone indicator, the higher the degree of competition is because the effect of reallocation is stronger. Estimations of the Boone indicator in this database follow the methodology used by Schaeck and Cihák 2010 with a modification to use marginal costs instead of average costs. Regional estimates of the Boone indicator pool the bank data by regions (for more information, see Hay and Liu 1997; Boone 2001; Boone, Griffith, and Harrison 2005). (Calculated from underlying bank-by-bank data from Bankscope) Source Code: GFDD.OI.05

    Select a date that will equal 100 for your custom index:
      Enter date as YYYY-MM-DD
    to

    Write a custom formula to transform one or more series or combine two or more series.

    You can begin by adding a series to combine with your existing series.

    Type keywords to search for data

      Now create a custom formula to combine or transform the series.

      For example, invert an exchange rate by using formula 1/a, where “a” refers to the first FRED data series added to this line. Or calculate the spread between 2 interest rates, a and b, by using the formula a - b.

      Use the assigned data series variables (a, b, c, etc.) together with operators (+, -, *, /, ^, etc.), parentheses and constants (1, 1.5, 2, etc.) to create your own formula (e.g., 1/a, a-b, (a+b)/2, (a/(a+b+c))*100). As noted above, you may add other data series to this line before entering a formula.

      Finally, you can change the units of your new series.

      Select a date that will equal 100 for your custom index:
          Enter date as YYYY-MM-DD

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      Bar 1
      Boone Indicator in Banking Market for Togo Vintage: 2019-10-18
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      Bar 2
      Boone Indicator in Banking Market for Togo Vintage: 2022-03-23
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      Notes

      Title Release Dates

      2012-09-24 2022-03-23
       
      Source    

      2012-09-24 2022-03-23
       
      Release    

      2012-09-24 2022-03-23
       
      Units    

      2012-09-24 2022-03-23
       
      Frequency    

      2012-09-24 2022-03-23
       
      Seasonal Adjustment    

      2012-09-24 2022-03-23
       
      Notes    

      2012-09-24 2022-03-23

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