Bussecon Review of Social Sciences

Despite the institutionalization of operational risk management in banks and the strict supervision of bank regulators, operational risk events are still on the increase. It is becoming evident to banks that there is a need to identify the drivers of this risk and nib it at the root to reduce the probability of recurrence. Hence, this study examined the drivers of operational risks in Nigerian commercial banks and the extent to which each driver contributes to operational risk. To achieve the study’s objectives, primary data were collected from the Operational Risk Management Desks of six (6) sampled commercial banks and analyzed using SPSS and Microsoft Excel. The result showed that Internal processes, IT systems and Quality of Risk Officers are determinants of operational losses in banks. The internal process was however indicated as having the most impact. The study concluded that Internal Process is the major driver of operational risk in Nigerian Commercial banks. The researcher, therefore, recommends that bank management must have defined procedures for core activities and prioritize regular review of their critical processes to reduce operational risk events and the associated costs.

There is a pool of techniques and methods in addressing dynamics behaviors in higher frequency data, prominent among them is the ARCH/GARCH techniques. In this paper, the various types and assumptions of the ARCH/GARCH models were tried in examining the dynamism of exchange rate and international crude oil prices in Nigeria. And it was observed that the Nigerian foreign exchange rates behaviors did not conform with the assumptions of the ARCH/GARCH models, hence this paper adopted Lag Variables Autoregressive (LVAR) techniques originally developed by Agung and Heij multiplier to examine the dynamic response of the Nigerian foreign exchange rates to crude oil prices. The Heij coefficient was used to calculate the dynamic multipliers while the Engel & Granger two-step technique was used for cointegration analysis.  The results revealed an insignificant dynamic long-term response of the exchange rate to crude oil prices within the periods under review. The coefficient of dynamism was insignificantly in most cases of the sub-periods. The paper equally revealed that the significance of the dynamic multipliers depends greatly on external information about both market indicators which are two-way interactions. Thus, the paper recommends periodic intervention in the foreign exchange market by the monetary authorities to stabilize the market against any shocks in the international crude oil market, since crude oil is the main source of foreign exchange in Nigeria.

Despite the institutionalization of operational risk management in banks and the strict supervision of bank regulators, operational risk events are still on the increase. It is becoming evident to banks that there is a need to identify the drivers of this risk and nib it at the root to reduce the probability of recurrence. Hence, this study examined the drivers of operational risks in Nigerian commercial banks and the extent to which each driver contributes to operational risk. To achieve the study’s objectives, primary data were collected from the Operational Risk Management Desks of six (6) sampled commercial banks and analyzed using SPSS and Microsoft Excel. The result showed that Internal processes, IT systems and Quality of Risk Officers are determinants of operational losses in banks. The internal process was however indicated as having the most impact. The study concluded that Internal Process is the major driver of operational risk in Nigerian Commercial banks. The researcher, therefore, recommends that bank management must have defined procedures for core activities and prioritize regular review of their critical processes to reduce operational risk events and the associated costs.

There is a pool of techniques and methods in addressing dynamics behaviors in higher frequency data, prominent among them is the ARCH/GARCH techniques. In this paper, the various types and assumptions of the ARCH/GARCH models were tried in examining the dynamism of exchange rate and international crude oil prices in Nigeria. And it was observed that the Nigerian foreign exchange rates behaviors did not conform with the assumptions of the ARCH/GARCH models, hence this paper adopted Lag Variables Autoregressive (LVAR) techniques originally developed by Agung and Heij multiplier to examine the dynamic response of the Nigerian foreign exchange rates to crude oil prices. The Heij coefficient was used to calculate the dynamic multipliers while the Engel & Granger two-step technique was used for cointegration analysis.  The results revealed an insignificant dynamic long-term response of the exchange rate to crude oil prices within the periods under review. The coefficient of dynamism was insignificantly in most cases of the sub-periods. The paper equally revealed that the significance of the dynamic multipliers depends greatly on external information about both market indicators which are two-way interactions. Thus, the paper recommends periodic intervention in the foreign exchange market by the monetary authorities to stabilize the market against any shocks in the international crude oil market, since crude oil is the main source of foreign exchange in Nigeria.