Unobservable characteristics of board directors and the performance of financial services firms in Nigeria

Abstract

This paper examines the intricate link between unobservable characteristics of directors on the corporate board and firm performance. It aims to extend the literature on corporate governance and firm strategic performance from the perspective of emerging African economies. A mix of performance measures were used (Tobin Q, return on assets, and share price) and unobservable characteristics were captured as a stochastic element or heterogeneity of observable board characteristics (board activity, gender diversity, size, and independence). The study applied non-linear generalized auto-regressive conditional heteroscedasticity model to examine the data set consisting of 299 firm-year observations from 23 financial firms listed on the Nigerian Stock Exchange from 2006 to 2018. Positive skewness and leptokurtic distribution were found for all the variables. Correlation matrix revealed no multicollinearity, as the highest value was 0.2386. Empirical results suggest that unobservable characteristics significantly and positively influence firm performance as measured by return on assets and share price. This is because the coefficient of the lagged-value of the variance scaling parameter is positive and significant at the 1% level. However, with respect to Tobin Q measure, the result was positive but not significant at the 5% level. Implicitly, the result is sensitive to performance proxies. Accordingly, this study concludes that unobservable characteristics drive firm performance. It is recommended that boards and regulators should pay attention to unobservable characteristics.

Conceptualising Total Quality Management as a Predictor of Performance in Nigerian Microfinance Institutions

“…It showed that continuous quality improvement (CQI), leadership (LDS), employees' involvement (EMI), benchmarking (BMG) and customer relationship management (CRM) significantly correlate with organizational performance (OGP) of microfinance banks. Since none of the coefficients of the independent variables exceed 0.9, there was an absence of multi-collinearity (Osazevbaru & Tarurhor, 2020).…”