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2013 | OriginalPaper | Chapter

Financial Forecasting Using the Kolmogorov–Feller Equation

Authors : Jonathan Blackledge, Marc Lamphiere, Kieran Murphy, Shaun Overton

Published in: IAENG Transactions on Engineering Technologies

Publisher: Springer Netherlands

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Abstract

An approach to analysing a financial time series using the Kolmogorov-Feller Equation is considered, in particular, the Generalised Kolmogorov-Feller Equation (GKFE), subject to variations in the Stochastic Volatility. Using the Mittag-Leffler memory function, we derive an expression for the Impulse Response Function associated with a short time window of data which is then used to derive an algorithm for computing a new index using a standard moving window process. It is shown that application of this index to financial time series, subject to a low volatility condition, correlates with the start, direction and end of a trend depending on the sampling rate of the time series and the look-back window or ‘period’ that is used. An example of this is provided in the chapter using MetaTrader4.

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Appendix
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Metadata
Title
Financial Forecasting Using the Kolmogorov–Feller Equation
Authors
Jonathan Blackledge
Marc Lamphiere
Kieran Murphy
Shaun Overton
Copyright Year
2013
Publisher
Springer Netherlands
DOI
https://doi.org/10.1007/978-94-007-6190-2_50