Access Statistics for Cindy Shin-huei Wang
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 | |
| An easy test for two stationary long processes being uncorrelated via AR approximations | 0 | 0 | 0 | 68 | 1 | 7 | 9 | 201 |
| Can federal reserve policy deviation explain response patterns of financial markets over time? | 0 | 0 | 0 | 40 | 2 | 7 | 12 | 151 |
| Estimating autocorrelations in the presence of deterministic trends | 0 | 0 | 0 | 73 | 3 | 9 | 12 | 204 |
| Forecasting long memory processes subject to structural breaks | 0 | 1 | 1 | 55 | 1 | 9 | 13 | 167 |
| Total tourist arrival forecast: aggregation vs. disaggregation | 0 | 0 | 0 | 25 | 0 | 3 | 5 | 163 |
| Total Working Papers | 0 | 1 | 1 | 261 | 7 | 35 | 51 | 886 |
| Journal Article | File Downloads | Abstract Views | ||||||
|---|---|---|---|---|---|---|---|---|
| Last month | 3 months | 12 months | Total | Last month | 3 months | 12 months | Total | |
| Estimating Autocorrelations in the Presence of Deterministic Trends | 0 | 0 | 0 | 43 | 1 | 5 | 9 | 161 |
| Forecasting a long memory process subject to structural breaks | 0 | 1 | 1 | 61 | 2 | 10 | 19 | 249 |
| Real-Time Monitoring Test for Realized Volatility | 0 | 0 | 0 | 30 | 1 | 3 | 7 | 106 |
| Recursive predictive tests for structural change of long-memory ARFIMA processes with unknown break points | 0 | 0 | 1 | 80 | 1 | 2 | 4 | 216 |
| The Role of China in Asian Monetary Integration | 0 | 0 | 0 | 33 | 0 | 2 | 4 | 122 |
| Total Journal Articles | 0 | 1 | 2 | 247 | 5 | 22 | 43 | 854 |
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.