Integrating spectral clustering with wavelet based kernel partial least square regressions for financial modeling and forecasting
From MaRDI portal
Publication:632930
DOI10.1016/J.AMC.2011.01.096zbMath1208.91161OpenAlexW1972013561MaRDI QIDQ632930
Publication date: 28 March 2011
Published in: Applied Mathematics and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.amc.2011.01.096
Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics to actuarial sciences and financial mathematics (62P05) Statistical methods; risk measures (91G70) Inference from stochastic processes and spectral analysis (62M15)
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- A hybrid support vector machines and logistic regression approach for forecasting intermittent demand of spare parts
- Forecasting electrical consumption by integration of neural network, time series and ANOVA
- Rainfall forecasting by technological machine learning models
- A stochastic nonlinear regression estimator using wavelets
- Wavelet analysis of commodity price behavior
- Scaling properties of foreign exchange volatility
- Generalized autoregressive conditional heteroscedasticity
- A case study on using neural networks to perform technical forecasting of forex
- Study of dynamic relationships between financial and real sectors of economies with wavelets
- A wavelet filtering based analysis of macroeconomic indicators: the Indian evidence
- Heterogeneous local model networks for time series prediction
- 10.1162/15324430260185556
- The Collinearity Problem in Linear Regression. The Partial Least Squares (PLS) Approach to Generalized Inverses
- The Decomposition of Economic Relationships by Time Scale Using Wavelets: Expenditure and Income
- The Relationship Between Financial Variables and Real Economic Activity: Evidence From Spectral and Wavelet Analyses
- Ten Lectures on Wavelets
- Feedforward Neural Nets as Models for Time Series Forecasting
- Neural Network Models for Time Series Forecasts
- Systematic risk and timescales
This page was built for publication: Integrating spectral clustering with wavelet based kernel partial least square regressions for financial modeling and forecasting