Measuring Integrated Market and Credit Risk in Bank Portfolios: An Application to a Set of Hypothetical Banks Operating in South Africa

The banking crises of the ‘90s emphasize the need to model the connections between financial environment volatility and the potential losses faced by financial institutions resulting from correlated market and credit risks. Due to the number of variables that must be modeled and the complexity of the relationships an analytical solution is not feasible. We present here a numerical solution based on a simulation model that explicitly links changes in the relevant variables that characterize the financial environment and the distribution of possible future bank capital ratios. This forward looking quantitative risk assessment methodology allows banks and regulators to identify potential risks before they materialize and make appropriate adjustments to bank portfolio credit qualities, sector and region concentrations, and capital ratios on a bank by bank basis. It also has the potential to be extended so as to assess the risks of correlated failures among a group of financial institutions (i.e., systemic risk analyses). This model was applied by the authors to the study of the risk profile of the largest South African Banks in the context of the Financial System Stability Assessment program undertaken by the IMF in 1999. In the current study, we apply the model to various hypothetical banks operating in the South African financial environment and assess the correlated market and credit risks associated with business lending, mortgage lending, asset and liability maturity matches, foreign lending and borrowing, and direct equity, real estate, and gold investments. It is shown to produce simulated financial environments (interest rates, exchange rates, equity indices, real estate price indices, commodity prices, and economic indicators) that match closely the assumed parameters, and generate reasonable credit transition probabilities and security prices. As expected, the credit quality and diversification characteristics of the loan portfolio, asset and liability maturity mismatches, and financial environment volatility, are shown to interact to determine bank risk levels. We find that the credit quality of a bank's loan portfolio is the most important risk factor. We also show the risk reduction benefits of diversifying the loan portfolio across various sectors and regions of the economy and the importance of accounting for volatility shocks that occur periodically in emerging economies. Banks with high credit risk and concentrated portfolios are shown to have a high risk of failure during periods of financial stress. Alternatively, banks with lower credit risk and broadly diversified loan portfolios across business and mortgage lending are unlikely to fail even during very volatile periods. Asset and liability maturity mismatches generally increase bank risk levels. However, because credit losses are positively correlated with interest rate increases, banks with high credit risk may reduce overall risk levels by holding liabilities with longer maturities than their assets. Risk assessment methodologies which measure market and credit risk separately do not capture these various interactions and thus misestimate overall risk levels.     

Service worker role in encouraging customer organizational citizenship behaviors

Assessment of the role of the individual service worker in encouraging customer organizational citizenship behaviors (customer OCBs) is the primary focus of this paper. The researchers investigate this topic empirically across three service contexts. Customer OCBs are voluntary, outside of the customer's required role for service delivery, which provide help and assistance and are conducive to effective organizational functioning. In this paper, commitment to the service worker is the strongest predictor of customer OCBs. Further, personal loyalty to the service worker serves as a partial mediator of the effects of perceived benevolence of the service worker and commitment to the service worker on customer OCBs. Finally, theoretical, managerial and future research implications are included.     

The costs of non-tariff barriers to trade: Evidence from New Zealand

The Costs of Non-Tariff Barriers to Trade: Evidence from New Zealand. — Recent work on trade policy with imperfect competition indicates that the adverse effects of non-tariff barriers to trade exceed those suggested by traditional theory. With market power in foreign supply, setting a restrictive non-tariff barrier will induce foreign exporters to raise their supply prices. The authors use the experiment provided by the comprehensive New Zealand economic reforms of the mid-1980s. Using panel data on export unit values from Germany and the United States to several destinations including New Zealand, they find some evidence for decreased export prices to New Zealand as a result of the dismantling of non-tariff barriers to trade.     

Coberturas financieras con derivados y su incidencia en el valor de mercado en empresas colombianas que cotizan en Bolsa

The financial theory (Modigliani & Miller, 1958) rises that risk management was not an issue for companies because shareholders could make their own hedging management through portfolio diversification; however, further studies conflict with that statement and show that corporate financial hedging improves performance and increases the value thereof (Ahmed, Azevedo, & Guney, 2014; Allayannis & Weston, 2001; Allayannis & Ofek, 1998). Efficient management of market risks, which is based on the use of financial derivatives, demands strategic and efficient managers in hedging that adds value to the firm, especially in against shocks and imbalances from a macroeconomic and financial nature. Empirical evidence analyzes the performance of the Q-Tobin as an indicator of the effect of hedging strategies of exchange rate associated to the market value. This paper aims to find evidence in Colombia on the effect of using derivatives in the market value of the firm. Its added value lies in the analysis made by economic sectors, identified by CIIU codes and grouped into 5 sectors (Agricultural, Commercial, Industrial or Manufacturing, Services and Construction). The methodology includes several models estimating regression panel data, using a Pooled regression with estimators of fixed and random effects by maximum likelihood estimator. In general, it was found a premium due to hedging, statistically and financially significant, for companies exposed to exchange rate risks that use derivatives by an average of 6.3% on the market value. Moreover, mixed results were found regarding the analyzed variables in the model.     

Real Exchange Rates, Valuation Effects and Growth in Emerging Markets

We compare the relationship between net capital inflows, real exchange rate movements and growth for twenty emerging markets and twelve developed countries over the period 1985–2004. In developed countries low real exchange rates are associated with faster growth, but in emerging markets depreciations depress growth, even outside crisis periods, and are closely correlated with declines or reversals in net capital inflows. To investigate valuation effects of currency movements, we construct debt-weighted real exchange rate indices for emerging markets, which are more closely correlated with growth than trade-weighted indices.