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

Kód výsledku v 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>

Nalezeny alternativní kódy

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

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10103 - Statistics and probability

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2024

Kód důvěrnosti údajů

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

Název statě ve sborníku

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

Počet stran výsledku

13

Strana od-do

114-126

Název nakladatele

Springer

Místo vydání

Cham

Místo konání akce

Washington D.C.

Datum konání akce

29. 6. 2024

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

001285848600009