Time series of stock price and of two fractal overlap: Anticipating market crashes?
نویسندگان
چکیده
Capturing dynamical patterns of stock prices are major challenges both epistemologically as well as financially [1]. The statistical properties of their (time) variations or fluctuations [1] are now well studied and characterized (with established fractal properties), but are not very useful for studying and anticipating their dynamics in the market. Noting that a single fractal gives essentially a time averaged picture, a minimal two-fractal overlap time series model was introduced [2, 3, 4].
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