Factors Contributing to Rotary International’s Stagnant Membership Growth

2024-10-19T18:41:20-05:00

This paper explores the multifaceted reasons behind Rotary International’s stagnant membership growth over the last decades. A significant factor identified is the lack of outreach and marketing efforts, which has prevented the organization from effectively engaging with diverse communities and adapting to modern promotional strategies. This has resulted in a membership base that does not reflect the changing societal dynamics and fails to attract younger generations who prioritize different causes, such as environmental sustainability and social justice. Additionally, the challenges faced by smaller organizations, such as limited resources and niche appeal, are relevant to Rotary’s struggle to attract new members. External societal trends, including urban development and globalization, have altered community structures and priorities, further influencing membership dynamics. The paper highlights the importance of adapting to these changes by improving outreach efforts, addressing competition from other service organizations, and fostering strong leadership within Rotary International. The discussion emphasizes the potential strategies Rotary International can adopt to enhance membership growth, such as leveraging social networks, fostering organizational identification, and addressing diversity challenges. By integrating these strategies, Rotary can work towards increasing its membership and continuing its mission of positively impacting society.

The Best Econometrics Model for Forecasting Equity Market Returns in Developing Countries

2024-11-03T01:24:12-05:00

The emerging market economies are fast improving in terms of the real sector and financial sector growth. This is due to the role played by equity market that facilitates re-allocation of funds. This paper aims to find the best GARCH model for forecasting stock returns of emerging markets, and besides to use maximum likelihood estimation method based on the Marquardt algorithm to estimate how returns respond to market news. It was observed the best model for predicting return in equity markets of Tunisia, Kenya, and Sudan is exponential GARCH with general error distribution (GED). For Egypt, Mauritius, South Africa, Namibia, and Nigeria, the gjrGARCH (1,1) with Student’s-t distributions performs best. These market returns react differently to market news relating to them. Whereas, sGARCH with Gaussian normal distribution is mostly suitable for analysing symmetric responses of return to market news, implying returns in these markets does not react differently to market news. These findings have policy implications for investors in these respective economies. Amongst others, the study advises investors, particularly those in the equity market where volatility decays slowly and the market where volatility responds asymmetrically to be watchful as these could pose significant threat to their market portfolios. Investors in these markets, particularly those in the equity market where volatility decays slowly and the market where volatility responds asymmetrically, be watchful, as these could pose a significant threat to their market portfolio.

Journal of Economics, Innovative Management and Entrepreneurship

Factors Contributing to Rotary International’s Stagnant Membership Growth

The Best Econometrics Model for Forecasting Equity Market Returns in Developing Countries