Investors Decision-Making Based on Complex Information from Networked Economies and Unstable Markets
Markets are currently affected by great instability and uncertainty, mainly due to the swift global changes in the social and political systems. Thus, operating in such economic environment is troublesome for both institutional and non-institutional investors. However, thanks to the amazing improvements in information technology, agents are able to handle a large range of knowledge, based on press and professional data providers, in order to promptly react to market evolutions. In this special issue, we intend to shed light on the way in which the different types of information influence the sentiment of financial practitioners, their decision process and their investment styles. Moreover we try to understand how big data learning techniques and computational management tools can be integrated in order to better represent human behavior and market sentiment. Papers covering other related issues are also welcomed.
Guest Editor: Massimiliano Kaucic, University of Trieste, Italy
This special issue will carry revised and substantially extended versions of selected papers presented at the MIC 2017 Conference ‘Managing the Global Economy’ (Monastier di Treviso, 24–27 May 2017). However, submissions from researchers unable to participate in the above-mentioned conference are also welcome and encouraged.
Every year the programme of this conference includes also the Editors Panel.
Notes for Prospective Authors. Submitted papers should not have been previously published nor be currently under consideration for publication elsewhere. All papers are refereed through a peer review process.
Papers must be submitted to firstname.lastname@example.org and email@example.com. When submitting the paper, please state that you are submitting your paper to journal Managing Global Transitions. Papers should be prepared according to Guidelines for Authors.
Paper submission: 30 June 2017 Decision notification: no later than 1 October 2017 Revised paper submission: 1 November 2017
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