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U.S.-Korea Free Trade Agreement: Potential Economy-wide ... - USITC

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For the purposes of this report, a similar scoring method was used to score the text and<br />

nonconforming measures on banking contained in the U.S.-<strong>Korea</strong> FTA. In order to generate<br />

trade policy scores directly comparable to the GATS score developed for <strong>Korea</strong>, it was<br />

necessary to account for the negative listing approach used in the FTA. In order to account<br />

for the negative listing approach, a score of 0 (completely open) was assigned to any banking<br />

service or mode that was not specifically mentioned in the FTA, whereas a score of 1<br />

(completely closed) was assigned to any banking service or mode not addressed in the<br />

GATS. Additionally, since Mode 4, the provision of a service by a natural person in a<br />

foreign market, is not covered by the FTA, the Commission assumed that the Mode 4<br />

commitments made under the GATS would continue to be binding, thus leaving the Mode<br />

4 scores unchanged from the GATS to the FTA. Commitments that referred to banking<br />

services in general were treated as horizontal commitments.<br />

Firm-level data for over 1,400 commercial banks from more than 50 countries were retrieved<br />

from Bankscope, a large international database that compiles financial information on public<br />

and private firms. These data were used in the estimation of the first stage using the equation:<br />

(2) ln NIM = β 1 + β 2ln(net noninterest operating expenses) + β 3ln(capital adequacy ratio) +<br />

Total assets<br />

β 4 ln(liquidity ratio) + 3 i country dummies + ε<br />

The dependent variable for the first stage was the NIM, which is the interest rate spread<br />

between lending and deposit rates. Firms with NIMs in the top 5 percent for each country<br />

were excluded. 17 The independent variables were net noninterest operating expenses, the<br />

capital adequacy ratio, and the liquidity ratio. Net noninterest operating expenses were<br />

calculated by subtracting pretax profits from net interest income and dividing this by total<br />

assets. The capital adequacy ratio, which is defined as total share capital and reserves divided<br />

by total assets, is a prudential measure with minimum levels set by regulatory agencies to<br />

ensure the solvency of banks. 18 The liquidity ratio, which is defined as total loans divided<br />

by total deposits, measures a bank’s ability to meet depositors’ claims. An increase in any<br />

of these factors should raise the NIM.<br />

The second stage, which accounts for country-level variation in pure spreads, was estimated<br />

using the following equation:<br />

(3) pure spreads = β1 + β2 market share + β3 interest variability + β4 GATS score + β5 credit rating + β6 tax rate + β7 GDP/capita + ε<br />

The dependent variable was the country-level pure spread variable discussed above.<br />

Independent variables included market share, interest rate volatility, the GATS score, credit<br />

rating, the tax rate, and GDP per capita. Market share is defined as the share of total banking<br />

assets controlled by the five largest banks in each country. Its expected relationship with<br />

NIMs is ambiguous. On the one hand, more assets in the hands of a few firms may imply<br />

these firms exercise market power, thereby increasing NIMs. On the other hand, the<br />

relationship may be negative if economies of scale exist, in which firms could reduce<br />

marginal costs by expansion, thereby lowering their NIMs through consolidation. Interest<br />

17 A high percentage of these firms were in fact credit card companies, which are not directly comparable<br />

with traditional commercial banks.<br />

18 Although minimum capital adequacy ratios are typically set by regulatory agencies, the actual capital<br />

adequacy ratio maintained by individual banks, which is what is used by this analysis, varies.<br />

H-6

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