Handbook of Financial Time Series || Modelling Financial High Frequency Data Using Point Processes
✍ Scribed by Mikosch, Thomas; Kreiß, Jens-Peter; Davis, Richard A.; Andersen, Torben Gustav
- Book ID
- 120357255
- Publisher
- Springer Berlin Heidelberg
- Year
- 2009
- Tongue
- German
- Weight
- 597 KB
- Edition
- 2009
- Category
- Article
- ISBN
- 3540712976
No coin nor oath required. For personal study only.
✦ Synopsis
The Handbook Of Financial Time Series Gives An Up-to-date Overview Of The Field And Covers All Relevant Topics Both From A Statistical And An Econometrical Point Of View. There Are Many Fine Contributions, And A Preamble By Nobel Prize Winner Robert F. Engle.
📜 SIMILAR VOLUMES
The class of ARM (Auto-Regressive Modular) processes is a versatile class of nonlinear autoregressive schemes with modulo-1 reduction and additional transformations. It generalizes the class of TES (Transform-Expand-Sample) processes in that it admits dependent innovation sequences. Both TES and ARM
The Handbook Of Financial Time Series Gives An Up-to-date Overview Of The Field And Covers All Relevant Topics Both From A Statistical And An Econometrical Point Of View. There Are Many Fine Contributions, And A Preamble By Nobel Prize Winner Robert F. Engle.
The Handbook Of Financial Time Series Gives An Up-to-date Overview Of The Field And Covers All Relevant Topics Both From A Statistical And An Econometrical Point Of View. There Are Many Fine Contributions, And A Preamble By Nobel Prize Winner Robert F. Engle.
The Handbook Of Financial Time Series Gives An Up-to-date Overview Of The Field And Covers All Relevant Topics Both From A Statistical And An Econometrical Point Of View. There Are Many Fine Contributions, And A Preamble By Nobel Prize Winner Robert F. Engle.
The Handbook Of Financial Time Series Gives An Up-to-date Overview Of The Field And Covers All Relevant Topics Both From A Statistical And An Econometrical Point Of View. There Are Many Fine Contributions, And A Preamble By Nobel Prize Winner Robert F. Engle.