Geometric Brownian Motion

stochastic-process · 37 views
stochastic-processstochastic

What It Is

Geometric Brownian motion --- multiplicative random walk (dS/S = μdt + σdW), the basis of Black-Scholes option pricing. Log-normal distribution with positive skew

Interpretation

Standard analysis sees: long-range memory (persistent); nonstationary / drifting. The atlas additionally detects Nonstationarity:adf_pvalue.

What standard analysis sees
tail heaviness0.60
asymmetry0.21
occupancy0.66
short-range corr0.85
long-range memory0.89
spectral colour0.23
periodicity0.72
complexity0.67
time-irreversibility0.24
volatility clustering0.84
multifractality0.44
dimensionality0.24
nonstationarity0.88
What the atlas adds
Nonstationarity:adf_pvalue+3.2z
unit-root nonstationarity (ADF cannot reject random-walk null)
Atlas-extreme metrics the standard bank can’t predict for this source
Dodecagonal (Stampfli):pisot_triplet_coherence+3.6zbank-miss 1.4σ

Composition

dtypefloat64
range[-3.241, 8.882]
unique values16384 / 16384
mean ± std2.77 ± 3.22

Render Gallery

Atlas Position

Nearest neighborDistance
Brownian Walk2.29
Perlin Noise2.73
fBm (Persistent)2.97

Open in Atlas →

Which Geometries Light Up

Catch24Catch24:CO_FirstMin_acrank 5/3076096.6000
Catch24Catch24:SB_BinaryStats_mean_longstretch1rank 5/3075348.1000
Dodecagonal (Stampfli)Dodecagonal (Stampfli):pisot_triplet_coherencerank 4/3070.5245
in geophysical
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