# A turning point prediction method of stock price based on RVFL-GMDH and chaotic time series analysis

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-turning-point-prediction-method-of-stock-price-based-on-rvfl-gmdh-and-chaotic/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Junde Chen,Shuangyuan Yang,Defu Zhang,Yaser A. Nanehkaran |
| Citations | 22 |
| DOI | 10.1007/s10115-021-01602-3 |
| Fields | Decision Sciences,Economics, Econometrics and Finance,Physics and Astronomy |
| Open Access | true |
| OA Status | bronze |
| OA URL | https://link.springer.com/content/pdf/10.1007/s10115-021-01602-3.pdf |
| OpenAlex ID | https://openalex.org/W3197259691 |
| PMID | 34465934 |
| Type | article |
| Year | 2021 |

## Paper authors

- [Shuangyuan Yang](https://scholariq.org/researchers/shuangyuan-yang/)

## Paper primary topic

- [Complex Systems and Time Series Analysis](https://scholariq.org/topics/complex-systems-and-time-series-analysis/)

## Paper topics

- [Complex Systems and Time Series Analysis](https://scholariq.org/topics/complex-systems-and-time-series-analysis/)
- [Stock Market Forecasting Methods](https://scholariq.org/topics/stock-market-forecasting-methods/)
- [Chaos control and synchronization](https://scholariq.org/topics/chaos-control-and-synchronization/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.