The aim of this paper is to model trading decisions of financial investors based on a sentiment index. For this purpose, we analyze a dynamical model, which includes the sentiment index in the agents’ trading behavior. We consider the setup of a discrete dynamical system, assuming that in financial markets, transactions take place between two groups of fundamentalists that differ in their perception of fundamental value. This assumption is motivated by a degree of uncertainty about the true fundamental value. The proportion of fundamentalists in the two groups is assumed to depend on the sentiment index. The sentiment index used is related to the risk asymmetry index, enabling us to consider both the variance and the asymmetry of the prediction error between the two groups of fundamentalists. We identify the equilibria of the model and conduct a numerical analysis in order to capture stylized facts documented empirically in the financial literature.
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September 2020
Research Article|
September 01 2020
Investor sentiment and trading behavior Available to Purchase
Giovanni Campisi
;
Giovanni Campisi
a)
Marco Biagi Department of Economics, University of Modena and Reggio Emilia
, Via Jacopo Berengario 51, 41121 Modena, Italy
a)Author to whom correspondence should be addressed: [email protected]
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Silvia Muzzioli
Silvia Muzzioli
b)
Marco Biagi Department of Economics, University of Modena and Reggio Emilia
, Via Jacopo Berengario 51, 41121 Modena, Italy
Search for other works by this author on:
Giovanni Campisi
a)
Marco Biagi Department of Economics, University of Modena and Reggio Emilia
, Via Jacopo Berengario 51, 41121 Modena, Italy
Silvia Muzzioli
b)
Marco Biagi Department of Economics, University of Modena and Reggio Emilia
, Via Jacopo Berengario 51, 41121 Modena, Italy
a)Author to whom correspondence should be addressed: [email protected]
Chaos 30, 093103 (2020)
Article history
Received:
April 22 2020
Accepted:
August 11 2020
Citation
Giovanni Campisi, Silvia Muzzioli; Investor sentiment and trading behavior. Chaos 1 September 2020; 30 (9): 093103. https://doi.org/10.1063/5.0011636
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