Concentration Indicators: Assessing the Gap Between Aggregatre and Detailed Data
Concentration indicators: Assessing the gap between aggregate and detailed data Fernando Ávila1, Emilio Flores1, Fabrizio López-Gallo1,2, and Javier Márquez3 Abstract Risk analysis depends to a large extent on the type of data. Aggregate data can serve as a useful surrogate for individual data. However, in practice, there is uncertainty on the reliability and adequacy of aggregated data. In this paper we estimate the Herfindahl-Hirschman Index (HHI) for a loan portfolio using both aggregate data and individual data. Then, we compare both estimates to assess the reliability of the aggregated data. Concentration is a key driver of a portfolio credit risk and the HHI is a reliable standard for measuring concentration risk. Results for the Mexican banking system suggest that the estimated HHI based on aggregate data is a fairly good proxy for the actual concentration. This result suggests that aggregate data are useful to evaluate the underlying risk of the portfolio for regulatory purposes. Keywords: Credit risk, Concentration risk, HHI index Data adequacy. JEL Classification: C13, C18, G21, G32. Introduction Banks and other financial intermediaries tend to specialize in market segments where they exercise a competitive advantage. Whereas specialization facilitates banks to benefit from market conditions or their expertise, specialization may be accompanied by concentration of resources in counterparties, regions, industry sectors, or business products, compromising banks’ diversification of their sources of business or income. This lack of diversification increases a bank’s exposure to losses arising from the concentrated portfolio. Therefore, Concentration could work as a magnifying mechanism of financial shocks which may lead an institution to insolvency In fact, the Basel Committee on Banking Supervision (2006) affirms that “concentration is arguably the most important cause of large losses on banks’ portfolios”.
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