scholarly journals A stock market simulation model for pricing asset value guarantees

1974 ◽  
Author(s):  
Kenneth R. Frohlich
Author(s):  
Thomas Plieger ◽  
Thomas Grünhage ◽  
Éilish Duke ◽  
Martin Reuter

Abstract. Gender and personality traits influence risk proneness in the context of financial decisions. However, most studies on this topic have relied on either self-report data or on artificial measures of financial risk-taking behavior. Our study aimed to identify relevant trading behaviors and personal characteristics related to trading success. N = 108 Caucasians took part in a three-week stock market simulation paradigm, in which they traded shares of eight fictional companies that differed in issue price, volatility, and outcome. Participants also completed questionnaires measuring personality, risk-taking behavior, and life stress. Our model showed that being male and scoring high on self-directedness led to more risky financial behavior, which in turn positively predicted success in the stock market simulation. The total model explained 39% of the variance in trading success, indicating a role for other factors in influencing trading behavior. Future studies should try to enrich our model to get a more accurate impression of the associations between individual characteristics and financially successful behavior in context of stock trading.


SIMULATION ◽  
1969 ◽  
Vol 13 (6) ◽  
pp. 299-305 ◽  
Author(s):  
P. Krolak ◽  
R. Berquist ◽  
R. Conn ◽  
H. Gilliland

This paper develops a simulation model which can be used to investigate a wide variety of stock market invest ment strategies. A brief review of the literature of stock market forecasting is given. The paper describes the de tails that any simulation of a stock market investor would have to include if the model is to be realistically com pared to the performance of real investors. An outline of the necessary features of any program which is to be used to investigate may different combinations of invest ment strategies and forecasting devices is also given. The program is described in detail and a few preliminary results are given.


2000 ◽  
Vol 03 (01n04) ◽  
pp. 451-461 ◽  
Author(s):  
Eric Bonabeau

Agent-based simulation is a powerful simulation modeling technique that has seen a number of applications in the last five years, including applications to real-world business problems. In this chapter I introduce agent-based simulation and review three applications to business problems: a theme park simulation, a stock market simulation, and a bankwide simulation.


1992 ◽  
pp. 300-306
Author(s):  
Ivo Wenzler ◽  
Marijo Polic

Sign in / Sign up

Export Citation Format

Share Document