Abstract
Modern financial management is largely about risk management, which is increasingly data-driven. The problem is how to extract information from the data overload. It is here that advanced statistical techniques can help. Accordingly, finance, statistics and data analytics go hand in hand.
The purpose of this Special Issue is to bring to the fore the state-of-art research in these three areas and especially that which juxtaposes these three. Cross-country contributions are welcome.
The papers can be in any area of finance, statistics or data analytics.
The editorial office provides several Feature Paper quotas for this Special Issue. When accepted after review, these papers will be published free of charge. Feature paper refers to high-quality paper. It is up to Guest Editors to decide whether to grant full waiver to potential authors.
The purpose of this Special Issue is to bring to the fore the state-of-art research in these three areas and especially that which juxtaposes these three. Cross-country contributions are welcome.
The papers can be in any area of finance, statistics or data analytics.
The editorial office provides several Feature Paper quotas for this Special Issue. When accepted after review, these papers will be published free of charge. Feature paper refers to high-quality paper. It is up to Guest Editors to decide whether to grant full waiver to potential authors.
| Original language | English |
|---|---|
| Pages (from-to) | 1-171 |
| Number of pages | 171 |
| Journal | Journal of Risk and Financial Management |
| Publication status | Published - 2020 |