Artikel
A multi-factor model of heterogeneous traders in a dynamic stock market
This study develops an agent-based computational stock market model in which each trader's buying and selling decisions are endogenously determined by multiple factors: namely, firm profitability, past stock price movement, and imitation of other traders. Each trader can switch from being a buyer to a seller, and vice versa, depending on market conditions. Simulation findings imply liquidity in the stock market decreases as more traders try to behave in a similar way to other traders. Stock return volatility is increasing in memory length when the information set of a trader includes only the fundamental of stock. On the other hand, when all traders consider only the past stock price movement, stock prices undergo boom and bust cycles with the occasional no-trade states. Furthermore, when traders consider three factors equally, the stock return is characterized by more pronounced fat-tail property and lower volatility.
- Sprache
-
Englisch
- Erschienen in
-
Journal: Cogent Economics & Finance ; ISSN: 2332-2039 ; Volume: 5 ; Year: 2017 ; Issue: 1 ; Pages: 1-24 ; Abingdon: Taylor & Francis
- Klassifikation
-
Wirtschaft
Portfolio Choice; Investment Decisions
Asset Pricing; Trading Volume; Bond Interest Rates
Financial Forecasting and Simulation
- Thema
-
heterogeneous trader
memory length
asset pricing
agent-based stock market
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Pyo, Dong-Jin
- Ereignis
-
Veröffentlichung
- (wer)
-
Taylor & Francis
- (wo)
-
Abingdon
- (wann)
-
2017
- DOI
-
doi:10.1080/23322039.2017.1416902
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:43 MEZ
Datenpartner
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Artikel
Beteiligte
- Pyo, Dong-Jin
- Taylor & Francis
Entstanden
- 2017
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