Fund location estimation algorithm based on industry index regression
An index regression and fund technology, applied in finance, computing, data processing applications, etc., can solve problems such as inability to respond to market trends in a timely manner, large errors, and inability to be used as market expectations indicators
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment Construction
[0032] The method of the present invention will be described below in conjunction with the accompanying drawings and examples.
[0033] The method of the present invention establishes a regression equation by using the daily rate of return of 28 first-level industry indexes as an independent variable and the daily rate of return of the fund as a dependent variable, and by minimizing the lasso regression loss function, the regression coefficient is solved, and the sum of the obtained coefficients is the fund position, so as to predict the change of fund position every day. At the same time, the accuracy of the model is improved through model smoothing based on the actual positions announced every quarter in history. The steps are as follows: figure 1 shown. Predicting the daily fund positions through the model can provide investors with certain reference and research value.
[0034] The specific steps of the method of the present invention are described as follows.
[0035] ...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com