O efeito smart money na indústria de fundos brasileira

O presente trabalho estuda o efeito Smart Money, inicialmente identificado por GRUBER(1996) e ZHENG (1999), na indústria de fundos brasileira no período de 2001 a 2005. Buscou-se identificar se os fundos que apresentaram maior captação líquida em seguida performam melhor do que os fundos de menor captação líquida. O efeito Smart Money foi identificado nos fundos de ações mesmo após ter sido controlado pelo efeito momentum. Nos fundos multimercados com renda variável e nos fundos de renda fixa não foi possível identificar tal fenômeno.

M-PESA mobile money: a case study in Blue ocean strategy

The recent and widespread availability of affordable mobile phone technology in developing countries has paved the way for the development of a number of mobile money and electronic remittance services. One of the most successful of these services is Safaricom’s M-PESA program, launched in the East African nation of Kenya in March 2007. Since then, the program has successfully enrolled over 15.2 million users, transferred more than US$1.4 trillion in electronic funds, and contributed significantly to poverty alleviation and financial inclusion efforts in Kenya. M-Pesa is a mobile phone based money transfer system in Kenya which grew at a blistering pace following its inception in 2007. This case study will analyze the critical factors that make M-PESA such a unique success in Kenya specifically.

Show me the money and I will bring you the head: evaluation of the effects of self-interest and anger on whistleblowing

Though many of those who decided to report wrongdoings in their organizations were able to tell their stories (e.g. Bamford, 2014, Armenakis 2004), it is fair to say that there is still much left to uncover. The paper aims to contribute to the literature in three ways. First, it provides preliminary evidence that the wrongdoing linked with individual financial loss leads to higher whistleblowing rate. Secondly, it shows how the experience of anger is related to the higher likelihood to report the wrongdoer but only if the wrongful act is perceived as a cause of one’s financial loss. Finally, the paper establishes first steps for the future development of an experimental procedure that would enable to predict, and measure whistleblowing behavior in the lab environment.