Modelling and forecasting the kurtosis and returns distributions of financial markets: irrational fractional Brownian motion model approach
Dhesi, G., Shakeel, B. and Ausloos, M. (2019). Modelling and forecasting the kurtosis and returns distributions of financial markets: irrational fractional Brownian motion model approach. Annals of Operations Research. pp. 1-4.
|Authors||Dhesi, G., Shakeel, B. and Ausloos, M.|
This paper reports a new methodology and results on the forecast of the numerical value of the fat tail(s) in asset returns distributions using the irrational fractional Brownian motion model. Optimal model parameter values are obtained from fits to consecutive daily 2-year period returns of S&P500 index over [1950–2016], generating 33-time series estimations. Through an econometric model, the kurtosis of returns distributions is modelled as a function of these parameters. Subsequently an auto-regressive analysis on these parameters advances the modelling and forecasting of kurtosis and returns distributions, providing the accurate shape of returns distributions and measurement of Value at Risk.
|Journal||Annals of Operations Research|
|Journal citation||pp. 1-4|
|Digital Object Identifier (DOI)||doi:10.1007/s10479-019-03305-z|
|Online||23 Jul 2019|
|Publication process dates|
|Accepted||10 Jul 2019|
|Deposited||29 Aug 2019|
|Accepted author manuscript|
CC BY 4.0
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