Estimation the vasicek interest rate model driven by fractional Lévy processes with application
Creators
- 1. Iraq University of Al-Qadisiyah, College of Administration and Economics, Statistics Department. (Iraq)
Description
In this article, we present that fractional Lévy processes which is very an important field in both probability theory and its application in recent years. The fractional Brownian motion is suggested as the fractional Lévy processes in this article. We will make parameters estimate of the Vasicek process driven by fractional Brownian motion, that represented the short memory parameter (0 < H < ½) and the long memory parameter (½ < H < 1). So, Our aim is to study the behavior of stochastitc Vasicek Interest driven by fractional Brownian motion. We use maximum likelihood to estimate the drift, diffusion and Hurst parameters and generally the fractional Lévy processes. We illustrate our methods, and show the behavior of stochastic parameters using simulation and real data (ISX60). (paper)
Availability note (English)
Available from http://dx.doi.org/10.1088/1742-6596/1897/1/012017Additional details
Identifiers
Publishing Information
- Journal Title
- Journal of Physics. Conference Series (Online)
- Journal Volume
- 1897
- Journal Issue
- 1
- Journal Page Range
- [15 p.]
- ISSN
- 1742-6596
Conference
- Title
- 6. International Scientific Conference for Iraqi Al Khwarizmi Society
- Acronym
- FISCAS 2020
- Dates
- 22-23 Nov 2020
- Place
- Cairo (Egypt)
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 53082450
- Subject category
- S97: MATHEMATICAL METHODS AND COMPUTING;
- Resource subtype / Literary indicator
- Conference
- Descriptors DEI
- BROWNIAN MOVEMENT; COMPUTERIZED SIMULATION; INTEREST RATE; MAXIMUM-LIKELIHOOD FIT; STOCHASTIC PROCESSES
- Descriptors DEC
- MATHEMATICAL SOLUTIONS; NUMERICAL SOLUTION; SIMULATION