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An agent-based model of intra-day financial markets dynamics

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  • Jacopo Staccioli
  • Mauro Napoletano

Abstract

We propose a parsimonious agent-based model of a financial market at the intra-day time scale that is able to jointly reproduce many of the empirically validated stylised facts. These include properties related to returns (leptokurtosis, absence of linear autocorrelation, volatility clustering), trading volumes (volume clustering, correlation between volume and volatility), and timing of trades (number of price changes, autocorrelation of durations between subsequent trades, heavy tail in their distribution, order-side clustering). With respect to previous constributions we introduce a strict event scheduling borrowed from the Euronext exchange, and an endogenous rule for traders' participation. We find that the latter proves crucial for matching our target stylised facts.

Suggested Citation

  • Jacopo Staccioli & Mauro Napoletano, 2018. "An agent-based model of intra-day financial markets dynamics," LEM Papers Series 2018/12, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
  • Handle: RePEc:ssa:lemwps:2018/12
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    More about this item

    Keywords

    Intraday financial dynamics; Stylized facts; Agent-based artificial stock markets; Market microstructure; High-Frequency Trading;

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • E12 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Keynes; Keynesian; Post-Keynesian; Modern Monetary Theory
    • E22 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Investment; Capital; Intangible Capital; Capacity
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • O4 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity

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