Portfolio Management and Stock Request Behavior: Implications for Developerand Economy-Oriented Game Design

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11240%2F24%3A10494756" target="_blank" >RIV/00216208:11240/24:10494756 - isvavai.cz</a>

Alternative codes found

RIV/62156489:43110/24:43925290 RIV/44555601:13510/24:43898880

Result on the web

<a href="http://10.1007/978-3-031-60692-2_9" target="_blank" >http://10.1007/978-3-031-60692-2_9</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-031-60692-2_9" target="_blank" >10.1007/978-3-031-60692-2_9</a>

Result language

angličtina

Original language name

Portfolio Management and Stock Request Behavior: Implications for Developerand Economy-Oriented Game Design

Original language description

The realm of retail investment encompasses a spectrum of decisions made by individuals seeking to allocate resources in anticipation of future returns. This study examines the implications of portfolio management and stock request behavior for developer- and economy-oriented game design. The research methodology uses a simulated investment game to bridge the gap between simulated environments and real-life investment scenarios. A total of 888 participants, aged 20-24 years, engaged in the game, which featured 66 companies and 49 rounds, simulating a 49-day tenure of companies in the market.We employed Bayesian statistical methodology to estimate the likelihood of participants being female based on the sex ratio in the sample. Additionally, we used SVD (singular value decomposition) to smooth the data matrix representing the investment choices made by participants across the companies and rounds. Furthermore, we employed the DBSCAN algorithm to detect clustering in the 66 rows of SVD-smoothed mean share prices. By incorporating elements of realism, complexity, and strong participant motivation, we provided a robust and immersive investment experience compared to existing investment games. The findings contribute to a better understanding of individual investment decision-making processes within the game theory framework.

Czech name

—

Czech description

—

Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

10103 - Statistics and probability

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2024

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

HCI in Games: 6th International Conference, HCI-Games 2024 Held as Part of the 26th HCI International Conference, HCII 2024 Washington, DC, USA, June 29 – July 4, 2024 Proceedings, Part I

ISBN

978-3-031-60691-5

ISSN

0302-9743

e-ISSN

1611-3349

Number of pages

13

Pages from-to

114-126

Publisher name

Springer

Place of publication

Cham

Event location

Washington D.C.

Event date

Jun 29, 2024

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

001285848600009