Affiliation:
1. Signal Processing for Telecommunications and Economics (SP4TE) Lab, University of ROMA TRE, Rome, Italy
Abstract
This paper presents an interdisciplinary application of information & communication methodology to financial economics. The empirical case study reported in this contribution consists of a preliminary example of binary options stock trading. The authors have investigated the performance of a simple algorithm which includes one buy/sell order per week. They have analyzed real sets of historical stock quotes, evidencing the asymmetry of achievable economic returns. In fact, the devised algorithm has denoted a (simulated) overall trading gain in the 87% of cases. A discussion, correlating such trend to the typical behavior of occasional traders, is finally reported
Subject
Computer Networks and Communications
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