rmgarch (R package): papers linking to it
← Code and data repositories cited in research papers
Research papers in the 480 tracked journals that link to rmgarch (R package) (https://CRAN.R-project.org/package=rmgarch), read from their Crossref records: by year, category and journal, the family tree of papers building on one another, and the linked repositories derived from it or that it derives from.
Key findings#
- 4 papers in the tracked journals link to rmgarch (R package) in their Crossref records, the first in 2017; most of them (3) in 2019.
- By category: Finance (2) and Economics (2); the journals with the most are Finance research letters (1), Asia-Pacific Financial Markets (1) and Eurasian economic review : (1).
By year#
20172019
| Year | Papers |
|---|---|
| 2017 | 1 |
| 2019 | 3 |
Journals#
| Journal | Papers |
|---|---|
| Finance research letters | 1 |
| Asia-Pacific Financial Markets | 1 |
| Eurasian economic review : | 1 |
| Resources Policy | 1 |
| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---|---|
| 2019-04-16 | Is cryptocurrency a hedge or a safe haven for international indices? A comprehensive and dynamic perspective | Finance research letters | Pengfei Wang, Zhang We, Xiao Li et al. | 182 | cites it |
| 2019-03-01 | Can alternative hedging assets add value to Islamic-conventional portfolio mix: Evidence from MGARCH models | Resources Policy | Naveed Raza, Sajid Ali, Syed Jawad Hussain Shahzad et al. | 47 | cites it |
| 2019-04-05 | Volatility transmission in the South African white maize futures market | Eurasian economic review : | Ayesha Sayed, Christo Auret | 19 | cites it |
| 2017-09-01 | Analysis of Dynamic Correlation of Japanese Stock Returns with Network Clustering | Asia-Pacific Financial Markets | Takashi Isogai | 4 | cites it |
How this is measured#
Cite this page
Scholar4AI. (2026). rmgarch (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-rmgarch
@misc{scholar4ai-code-cran-rmgarch,
author = {{Scholar4AI}},
title = {rmgarch (R package): papers linking to it},
year = {2026},
howpublished = {\url{https://scholar4ai.com/code/cran-rmgarch}},
urldate = {2026-11-03},
note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}