Access Statistics for Manuela Braione
Author contact details at EconPapers.
| Working Paper | File Downloads | Abstract Views | ||||||
|---|---|---|---|---|---|---|---|---|
| Last month | 3 months | 12 months | Total | Last month | 3 months | 12 months | Total | |
| A dynamic component model for forecasting high-dimensional realized covariance matrices | 0 | 0 | 0 | 68 | 1 | 1 | 14 | 163 |
| A time-varying long run HEAVY model | 0 | 0 | 0 | 28 | 0 | 0 | 7 | 59 |
| Forecasting comparison of long term component dynamic models for realized covariance matrices | 0 | 0 | 0 | 39 | 0 | 1 | 10 | 96 |
| Multiplicative Conditional Correlation Models for Realized Covariance Matrices | 0 | 0 | 1 | 38 | 1 | 1 | 14 | 120 |
| Total Working Papers | 0 | 0 | 1 | 173 | 2 | 3 | 45 | 438 |
| Journal Article | File Downloads | Abstract Views | ||||||
|---|---|---|---|---|---|---|---|---|
| Last month | 3 months | 12 months | Total | Last month | 3 months | 12 months | Total | |
| A time-varying long run HEAVY model | 0 | 0 | 0 | 9 | 0 | 1 | 11 | 38 |
| Cohesion Policy Funds and local government autonomy: Evidence from Italian municipalities | 1 | 1 | 5 | 14 | 2 | 6 | 56 | 81 |
| Forecasting Comparison of Long Term Component Dynamic Models for Realized Covariance Matrices | 0 | 1 | 1 | 13 | 1 | 3 | 11 | 100 |
| Forecasting Value-at-Risk under Different Distributional Assumptions | 0 | 0 | 0 | 18 | 1 | 1 | 12 | 88 |
| Total Journal Articles | 1 | 2 | 6 | 54 | 4 | 11 | 90 | 307 |
Top Working Papers
Top Journal Articles
Top Books
Top Chapters
Top Software Items
Top Working Paper series and Journals
Authors with papers registered in the RePEc Author Service.
Register yourself as an author or register more papers in the RePEc Author Service.
Authors with no registered papers
LogEc is hosted by the
Örebro University School of Business.
Questions or comments? Please see our explanation of how the statistics are collected or e-mail
Since October 2025, abstract view statistics are potentially heavily influenced by traffic from AI bots and tools that we could not eliminate despite our best efforts.