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Assessing Risk in Graphically Presented Financial Series.

Daphne Sobolev1, Nigel Harvey1

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Risk Analysis : an Official Publication of the Society for Risk Analysis
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PubMed
Summary
This summary is machine-generated.

Traders use fractal properties of price graphs to assess risk. Adding price change information enhances risk assessment accuracy, particularly for those sensitive to potential losses.

Keywords:
Financial riskHurst exponentfractal seriesrisktime series

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Area of Science:

  • Behavioral Finance
  • Quantitative Finance
  • Financial Market Analysis

Background:

  • Traders may leverage fractal properties of financial price series for risk assessment.
  • Existing financial theories may not fully capture human risk assessment nuances.

Purpose of the Study:

  • To investigate how traders assess risk using fractal properties (Hurst exponent) of price series.
  • To determine the impact of price level versus price change information on risk assessment.
  • To compare human risk assessment with standard financial risk measures.

Main Methods:

  • Experiment 1: Participants identified riskier assets from price graphs.
  • Experiment 2: Participants rated asset trading risk using price level and price change data.
  • Analysis focused on the relationship between Hurst exponent, volatility, and risk ratings.

Main Results:

  • Lower Hurst exponents indicated higher perceived risk, especially when price change information was available.
  • Risk ratings were more influenced by the Hurst exponent than by standard deviation.
  • Human risk assessment integrates uncertainty and loss aversion, demanding significant attention.

Conclusions:

  • Price change information significantly improves risk assessment based on fractal properties.
  • Human risk assessment is complex, incorporating factors beyond standard financial models.
  • Displaying price change data can alleviate attentional demands and enhance trader risk perception.