Modeling the time-changing dependence in stock markets |
| |
| Authors: | Massimiliano Frezza |
| |
| Affiliation: | 1. Deakin University, Geelong, Australia;2. School of Life and Environmental Sciences, Warrnambool Campus, Princess Hwy, Warrnambool, VIC, Australia;3. CSIRO Agriculture, 144 North Street, Woorim, QLD, Australia;4. CSIRO Agriculture, QLD Biosciences Precinct, Services Rd, St Lucia, QLD, Australia;5. Institute of Aquaculture, Stirling University, FK9 4LA Stirling, United Kingdom;1. The Netherlands Organization for Applied Scientific Research (TNO), The Hague, The Netherlands;2. Department of Statistical Science, University College London, London, UK;3. Department of Computer and Systems Sciences, Stockholm University, Stockholm, Sweden;4. Department of Decision Sciences, HEC Montréal, Montréal, QC, Canada |
| |
| Abstract: | The time-changing dependence in stock markets is investigated by assuming the multifractional process with random exponent (MPRE) as model for actual log price dynamics. By modeling its functional parameter S(t, ω) via the square root process (S.R.) a twofold aim is obtained. From one hand both the main financial and statistical properties shown by the estimated S(t) are captured by surrogates, on the other hand this capability reveals able to model the time-changing dependence shown by stocks or indexes. In particular, a new dynamical approach to interpreter market mechanisms is given. Empirical evidences are offered by analysing the behaviour of the daily closing prices of a very known index, the Industrial Average Dow Jones (DJIA), beginning on March,1990 and ending on February, 2005. |
| |
| Keywords: | |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
