PurposeThe purpose of this paper is to identify the factors that affect the Canadian credit unions' financial performance which play an important role in providing financial services to the agriculture sector.Design/methodology/approachWe surveyed the literature to identify different performance metrics of credit unions and a set of possible factors that might affect their performance. We collected data related to different dependent and independent variables from financial statements and balance sheets of 189 credit unions and from general websites like Statistics Canada and Bank of Canada. Then, we imputed the missing data and developed fixed effect and random effect panel data regression models. First, we used return on asset as the main dependent variable. Afterwards, we used six performance metrics to check the robustness of our models.FindingsFrom an initial list of 16 possible factors that might affect the financial performance of a credit union, we were able to narrow the factors down to the nine most significant ones. It was observed that credit unions in the prairies were more likely to perform well financially as compared to other provinces. Membership size, the size of a credit union in terms of total assets, capital adequacy ratio, market penetration, diversification of income, inflation rate and provincial GDP and interest rates were significant. The cross-sectional analysis performed confirmed the findings of the fixed effect panel data models.Research limitations/implicationsThis study has a limitation concerning the number of years included into the time series analysis. Only ten years worth of data were available.Practical implicationsResults provide credit union management, service providers for credit unions and market analysts with a current understanding of how different internal and external factors might affect return on assets, return on equity, delinquency, cash ratio, efficiency ratio, asset growth and loan growth. Our models can be used to predict financial performance of credit unions based on the defined significant variables.Originality/valueAlthough there is a wide body of literature that studies performance of banks, not many studies focus on credit unions. Moreover, the existing studies are based on credit unions in United States or Europe, and literature on Canadian credit unions is scarce. The data collected covered 189 Canadian credit unions. To our knowledge this is the first study that looks at the various internal, external and regulatory factors together that affect the credit unions in various jurisdictions of Canada.
Nonparametric estimation of the marginal effect in fixed-effect panel data models
