Cyclically‐Neutral Generational Accounting

This paper introduces a key methodological innovation into generational accounting. By incorporating cyclically‐adjusted balances into the forward‐looking budget projections underlying the concept, we isolate pure policy effects, which render comparisons of the fiscal sustainability indicators obtained across time and countries truly meaningful. We also show that a demographic effect and a debt effect may drive fiscal sustainability measures over time, and establish a routine to control for these effects in the generational accounting framework. An empirical application for Spain illustrates that our proposed decomposition of indicators is empirically relevant. Standard generational accounting suggests that fiscal sustainability in Spain improved substantially in preparing for EMU. However, calculation of the pure policy effects reveals that this has not been the case.     

A macro stress test model of credit risk for the Brazilian banking sector

This paper proposes a model to conduct macro stress test of credit risk for the banking sector based on scenario analysis. We employ an original bank-level data set that splits bank credit portfolios in 21 granular categories, covering household and corporate loans. The results corroborate the presence of a strong procyclical behavior of credit quality, and show a robust negative relationship between the logistic transformation of non-performing loans (NPLs) and GDP growth, with a lag response of up to three quarters. The results also indicate that the procyclical behavior of loan quality varies across credit types. This is novel in the literature and suggests that banks with larger exposures to highly procyclical credit types and economic sectors would tend to undergo sharper deterioration in the quality of their credit portfolios during an economic downturn. Lack of sufficient portfolio granularity in macro stress testing fails to capture these effects and thus introduces a source of bias that tends to underestimate the tail losses stemming from the riskier banks in a system.     

Systemic Bank Risk in Brazil: A Comprehensive Simulation of Correlated Market, Credit, Sovereign and Inter-Bank Risks

In this study we present a comprehensive forward‐looking portfolio simulation methodology for assessing the correlated impacts of market risk, private sector and Sovereign credit risk, and inter‐bank default risk. In order to produce better integrated risk assessment for banks and systemic risk assessments for financial systems, we argue that reasonably detailed modeling of bank asset and liability structures, loan portfolio credit quality, and loan concentrations by sector, region and type, as well as a number of financial and economic environment risk drivers, is required. Sovereign and inter‐bank default risks are increasingly important in the current economic environment and their inclusion is an important model extension. This extended model is demonstrated through an application to both individual Brazilian banks (i.e., 28 of the largest banks) and groups of banks (i.e., the Brazilian banking system) as of December 2004. When omitting Sovereign risk, our analysis indicates that none of the banks face significant default risk over a 1‐year horizon. This low default risk stems primarily from the large amount of government securities held by Brazilian banks, but also reflects the banks' adequate capitalizations and extraordinarily high interest rate spreads. We note that none of the banks which we modeled failed during the very stressful 2007‐2008 period, consistent with our results. Our results also show that a commonly used approach of aggregating all banks into one single bank, for purposes of undertaking a systemic banking system risk assessment, results in a misestimate of both the probability and the cost of systemic banking system failures. Once Sovereign risk is considered and losses in the market value of government securities reach 10% (or higher), we find that several banks could fail during the same time period. These results demonstrate the well known risk of concentrated lending to a borrower, or type of borrower, which has a non‐zero probability of default (e.g., the Government of Brazil). Our analysis also indicates that, in the event of a Sovereign default, the Government of Brazil would face constrained debt management alternatives. To the best of our knowledge no one else has put forward a systematic methodology for assessing bank asset, liability, loan portfolio structure and correlated market and credit (private sector, Sovereign, and inter‐bank) default risk for banks and banking systems. We conclude that such forward‐looking risk assessment methodologies for assessing multiple correlated risks, combined with the targeted collection of specific types of data on bank portfolios, have the potential to better quantify overall bank and banking system risk levels, which can assist bank management, bank regulators, Sovereigns, rating agencies, and investors to make better informed and proactive risk management and investment decisions.     

Measuring the balance of government intervention on forward and backward family transfers using NTA estimates: the modified Lee arrows

In this paper we propose a way to measure the degree of government intervention on forward—from parents to children—and backward—from adult children to elderly parents—intergenerational family transfers (IFT). We carry out a discussion about the possibility of using Generational Accounts (GA) and National Transfer Accounts (NTA) methodologies to generate indicators that could measure government intervention on both sides of IFT. As a result, we propose a modification of arrow diagrams used by Lee (in J. Human Res. 29:1027–1063, 1994b). An illustration of the results in the Spanish case indicates that the degree of government intervention on backward IFT is above that on forward IFT. This could be one of the main reasons to explain the Spanish low fertility rate.