Stationarity of the detrended price return in stock markets
arXiv:1910.01034
Abstract
This paper proposes a governing equation for stock market indexes that accounts for non-stationary effects. This is a linear Fokker-Planck equation (FPE) that describes the time evolution of the probability distribution function (PDF) of the price return. By applying Ito's lemma, this FPE is associated with a stochastic differential equation (SDE) that models the time evolution of the price return in a fashion different from the classical Black-Scholes equation. Both FPE and SDE equations account for a deterministic part or trend, and a stationary, stochastic part as a q-Gaussian noise. The model is validated using the S\&P500 index's data. After removing the trend from the index, we show that the detrended part is stationary by evaluating the Hurst exponent of the multifractal time series, its power spectrum, and its autocorrelation.
arXiv commentSubmitted to "Physica A". This manuscript contents 12 pages and 11 figures
References in corpus (17)
- Multifractal detrended fluctuation analysis of nonstationary time series
- Detecting Long-range Correlations with Detrended Fluctuation Analysis
- Effect of Trends on Detrended Fluctuation Analysis
- Scaling of the distribution of fluctuations of financial market indices
- The statistical properties of the volatility of price fluctuations
- Detrending moving average algorithm for multifractals
- Detrended fluctuation analysis for fractals and multifractals in higher dimensions
- An integrated approach to the assessment of long range correlation in time series data
- The Statistical Mechanics of Membranes
- Characterization of Sleep Stages by Correlations of Heartbeat Increments
- Generalized Hurst exponent and multifractal function of original and translated texts mapped into frequency and length time series
- A Guided Walk Down Wall Street: an Introduction to Econophysics
- Quantum Brownian motion model for the stock market
- Methods for forecasting the effect of exogenous risk on stock markets
- Time-dependent scaling patterns in high frequency financial data
- Diffusive and arrested-like dynamics in currency exchange markets
- The near-extreme density of intraday log-returns