A social network model of investment behaviour in the stock market
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Summary
Simulation results demonstrate that real life trust networks can significantly delay the stabilisation of a market.
- Type
- article
- Published
- 2010-03-15
- Cited by
- 42
- References
- 9
- OpenAlex
- https://openalex.org/W2044429396
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:12558340
Keywords
Stock market, Valuation (finance), Microeconomics, Investment (military), Investment decisions
References
- The Robustness of Bubbles and Crashes in Experimental Stock Markets
- Are there speculative bubbles in stock markets? Evidence from an alternative approach.
- The cellular automaton model of investment behavior in the stock market
- Simple Finite Horizon Bubbles Robust to Higher Order Knowledge
- The framing of decisions and the psychology of choice.
- Bubbles and crashes
- Why Does the Stock Market Fluctuate
- The Random Character of Stock Market Prices.
- The Random Character of Stock Market Prices
Cited by
- Homeless outreach in the Tri Cities: is something social going on?
- Which stocks are profitable? A network method to investigate the effects of network structure on stock returns
- The evolutionary stability of shareholders’ co-holding behavior for China’s listed energy companies based on associated maximal connected sub-graphs of derivative holding-based networks☆
- Is there any connection between the network morphology and the fluctuations of the stock market index
- When Models Interact with Their Subjects: The Dynamics of Model Aware Systems
- A cellular learning automata model of investment behavior in the stock market
- Where's the Money? The Social Behavior of Investors in Facebook's Small World
- An Evolution Model of Trading Behavior Based on Peer Effect in Networks
- Optimal Investment Portfolio Model with Degree Risk in Complex Stock Network
- An analysis of herding behavior in security analysts’ networks
- An Agent-Based Social Network Model of Binge Drinking Among Dutch Adults
- A Heuristic Stock Portfolio Optimization Approach Based on Data Mining Techniques
- Investors Are Social Animals: Predicting Investor Behavior using Social Network Features via Supervised Learning Approach
- Evolving dynamics of trading behavior based on coordination game in complex networks
- Predicting investor funding behavior using crunchbase social network features
- The analysis of implicit mechanism of information on liquidity in an artificial stock market
- A multi‐stage ‘infection’ model of stock investors' reaction to new product announcement signal
- Dynamical evolution of trading behavior on anti-coordination game in complex networks
- Effect of rumor propagation on stock market dynamics using cellular automata
- Iterated local transitivity model for signed social networks
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