Financial Statements Analysis to Forecasting Financial Needs for Sports Clubs: Case Study of Al-Ahly Egyptian Club | ||||
| Journal of Applied Sports Science | ||||
| Article 2, Volume 5, Issue 3, September 2015, Page 10-26 PDF (689.69 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/jass.2015.84507 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
| Raafat Said Hendawei; Abdallah Mohamed Mohy Eldien | ||||
| Faculty of Physical Education for Boys, Alexandria University, Alexandria, Egypt | ||||
| Abstract | ||||
| The study aims to forecasting the financing needs of Al-Ahly Egyptian club through analysis of financial statements of the Club, represented in the list of the balance sheet financial analysis, statement of profits and losses, cash flow statement for the period from 2004 to 2012. As well as the preparation of a quantitative model to forecasting financial needs and the surplus cash for each resource of self- financial of the club. Descriptive approach was adopted to represent data and information on the study with a dependence on the analytical method in the interpretation of that information and draw conclusions from them. Empirical part of the research depends on the case study For the purpose of in-depth and detailed search of specific situation on the ground and apply the results of the theoretical study on the case namely study of Al-Ahly Egyptian club for the period from 2004 - 2012. The collection of required financial data depends on the documentary content of the report of the club's board for 9 years. The study model shows that the most influential variables in the prediction of financing needs and the cash surplus of Al-Ahli club namely, memeberships and annual fees revenue, miscellaneous income, revenues games, Ahly magazine revenues, Al-Ahram contract revenue, centenary revenue, social activity expenses, which is shown by the model predictive methods for multiple regression analysis | ||||
| Keywords | ||||
| Financial statement analysis; Forecasting financial needs; Self financial; Financial resources; Sports clubs; Financial forecasting; Financial revenues; Multiple regression analysis | ||||
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