A machine learning approach to intraday trading on foreign exchange markets

Foreign Exchange trading has emerged in recent times as a significant activity in many countries. As with most forms of trading, the activity is influenced by many random parameters so that the creation of a system that effectively emulates the trading process will be very helpful. In this paper we try to create such a system using Machine learning approach to emulate trader behaviour on the Foreign Exchange market and to find the most profitable trading strategy.

Risky business: An investigation of sponsorship marketing risk

This paper examines the characteristics of sponsorship risk in order to better understand the potential pitfalls that may arise for firms contemplating sponsorship-linked marketing. A content analysis of the online sponsorship information provided by 117 listed companies was performed using Leximancer software to gain insights about the corporate conceptualisation of sponsorship risk. Next, in-depth interviews were conducted with 20 sponsorship marketing managers and the managers of 20 sponsored organisations to understand risk in terms of sponsorship practice. Central components of sponsorship risk were identified. Strategies for managing sponsorship risk are proposed in order to enhance sponsorship practice in the future.