# ML‐Based Interconnected Affecting Factors with Supporting Matrices for Assessment of Risk in Stock Market

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/ml-based-interconnected-affecting-factors-with-supporting-matrices-for/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Bhupinder Singh,Santosh Kumar Henge,Amit Sharma,C Menaka,Pawan Kumar,Sanjeev Kumar Mandal,Baru Debtera |
| Citations | 9 |
| DOI | 10.1155/2022/2432839 |
| Fields | Decision Sciences,Economics, Econometrics and Finance |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://downloads.hindawi.com/journals/wcmc/2022/2432839.pdf |
| OpenAlex ID | https://openalex.org/W4292432131 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Santosh Kumar Henge](https://scholariq.org/researchers/santosh-kumar-henge/)

## Paper primary topic

- [Stock Market Forecasting Methods](https://scholariq.org/topics/stock-market-forecasting-methods/)

## Paper topics

- [Stock Market Forecasting Methods](https://scholariq.org/topics/stock-market-forecasting-methods/)
- [Financial Markets and Investment Strategies](https://scholariq.org/topics/financial-markets-and-investment-strategies/)
- [Market Dynamics and Volatility](https://scholariq.org/topics/market-dynamics-and-volatility/)

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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.