Access Statistics for Frantisek Cech
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 | |
| Measurement of Common Risk Factors: A Panel Quantile Regression Model for Returns | 0 | 0 | 2 | 59 | 2 | 3 | 9 | 82 |
| Measurement of Common Risk Factors: A Panel Quantile Regression Model for Returns | 0 | 2 | 13 | 333 | 1 | 12 | 36 | 914 |
| On the modelling and forecasting multivariate realized volatility: Generalized Heterogeneous Autoregressive (GHAR) model | 0 | 1 | 1 | 134 | 0 | 6 | 14 | 432 |
| Total Working Papers | 0 | 3 | 16 | 526 | 3 | 21 | 59 | 1,428 |
| Journal Article | File Downloads | Abstract Views | ||||||
|---|---|---|---|---|---|---|---|---|
| Last month | 3 months | 12 months | Total | Last month | 3 months | 12 months | Total | |
| Marine fuel hedging under the sulfur cap regulations | 0 | 0 | 1 | 3 | 0 | 7 | 13 | 19 |
| Measurement of common risks in tails: A panel quantile regression model for financial returns | 1 | 2 | 4 | 23 | 3 | 11 | 17 | 62 |
| On the Modelling and Forecasting of Multivariate Realized Volatility: Generalized Heterogeneous Autoregressive (GHAR) Model | 0 | 1 | 1 | 3 | 1 | 11 | 17 | 44 |
| Panel quantile regressions for estimating and predicting the value‐at‐risk of commodities | 0 | 0 | 0 | 1 | 1 | 3 | 6 | 31 |
| Total Journal Articles | 1 | 3 | 6 | 30 | 5 | 32 | 53 | 156 |
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.