This paper explores the relationship between the debt ratio of Brazilian football clubs and several potential determinants, both financial and sports-related. Our explanatory variables are Current Ratio, Return on Assets, Score Percentage, Size, 12 Biggest Clubs, Access (to specific championships, e.g. Libertadores da América), Division, Title (won at time t) and Relegated (at time t). Data was collected from several publicly available channels and our sample was mostly decided according to this availability. The time range adopted was 2010-2013. The model employed was Generalized Estimating Equation. Our results suggest that debt ratios are more associated with their popularity or their participation in the highest division of its main championship rather than titles held, access to different competitions or relegation to lower levels. We believe that our findings may be useful for both practitioners, who might know the impact of their sports-related choices in their clubs' debts, and policymakers, that could prepare differentiated policies for specific groups (e.g divisions).

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The generalized frequency division multiplexing transmission technique (GFDM), is being discussed as a candidate waveform for the fifth generation wireless communication system (5G). Since it only uses one cyclic prefix (CP) per group of symbols instead of one CP per symbol, the GFDM technique is more spectrally efficient than the traditional OFDM systems. In this work we propose a low complexity detection scheme for GFDM where a matched filter (MF) detection is used in conjunction with the parallel interference cancellation technique (PIC). In addition to reducing the complexity of the receiver, the proposed scheme incorporates a strategy to dynamically limit the number of iterations of the PIC. Performance results are presented in terms of information symbol error rate (SER).