Analysis and forecasting of self-similar financial time series
Time series of prices of MSFT ticker are considered. Results on selfsimilarity of this time series are presented. A method of prediction from FARIMA model for long-range dependent time series is described. This method is used for prediction of MSFT time series of prices that exhibits long-range de...
Saved in:
Date: | 2006 |
---|---|
Main Authors: | Moklyachuk, M., Zrazhevsky, A. |
Format: | Article |
Language: | English |
Published: |
Інститут математики НАН України
2006
|
Online Access: | http://dspace.nbuv.gov.ua/handle/123456789/4461 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Journal Title: | Digital Library of Periodicals of National Academy of Sciences of Ukraine |
Cite this: | Analysis and forecasting of self-similar financial time series / M. Moklyachuk, A. Zrazhevsky // Theory of Stochastic Processes. — 2006. — Т. 12 (28), № 3-4. — С. 114–122. — Бібліогр.: 10 назв.— англ. |
Institution
Digital Library of Periodicals of National Academy of Sciences of UkraineSimilar Items
-
Effective temperature of self-similar time series
by: Olemskoi, A., et al.
Published: (2005) -
Analysis of self-similarity of multivariate time series (Ts) on the Basis of the Methods of Intellectual Analysis of the Data
by: Ju. N. Minaev, et al.
Published: (2017) -
Estimate of time series similarity based on models
by: T. V. Knignitskaja
Published: (2019) -
A method of preliminary forecasting of time series of financial data
by: A. D. Shatashvili, et al.
Published: (2020) -
Forecast of time series using their segmentation based on wavelet analysis of scalogram
by: Voloshko, A. V., et al.
Published: (2016)