Self-similarity in financial markets: a fractionally integrated approach
From MaRDI portal
Publication:611788
DOI10.1016/j.mcm.2010.03.031zbMath1201.91224OpenAlexW1984740721MaRDI QIDQ611788
Publication date: 14 December 2010
Published in: Mathematical and Computer Modelling (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.mcm.2010.03.031
Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Statistical methods; risk measures (91G70) Self-similar stochastic processes (60G18)
Related Items (1)
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Testing for strong serial correlation and dynamic conditional heteroskedasticity in multiple regression
- An analysis of the flexibility of asymmetric power GARCH models
- Fractionally integrated generalized autoregressive conditional heteroskedasticity
- A comparison of techniques of estimation in long-memory processes.
- Long memory relationships and the aggregation of dynamic models
- Ranking efficiency for emerging equity markets. II
- Generalized autoregressive conditional heteroscedasticity
- Modeling and pricing long memory in stock market volatility
- Modeling volatility persistence of speculative returns: a new approach
- Testing for long-range dependence in world stock markets
- Estimators of long-memory: Fourier versus wavelets
- Tests for Parameter Instability and Structural Change With Unknown Change Point
- Conditional Heteroskedasticity in Asset Returns: A New Approach
- Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation
- AN INTRODUCTION TO LONG-MEMORY TIME SERIES MODELS AND FRACTIONAL DIFFERENCING
- Long-Term Memory in Stock Market Prices
- NECESSARY AND SUFFICIENT MOMENT CONDITIONS FOR THE GARCH(r,s) AND ASYMMETRIC POWER GARCH(r,s) MODELS
This page was built for publication: Self-similarity in financial markets: a fractionally integrated approach