Computational Statistics with Spreadsheets Towards Efficiency, Reproducibility and Security
The use of electronic spreadsheets as the primary software tool for teaching management science modeling techniques and quantitative methods in economics and finance undoubtedly played a key role in the increasing impact of quantitative lectures given in graduate programs. Researchers suggest that the ability to extract data from various sources and embed analytical decision models within larger systems are two of the most valuable skills for business students entering today?s IT dominated workplace. In this paper we will try to contribute to this evolution and furthermore want to argue in favor of spreadsheet applications as appropriate interface solution to matrix oriented statistical languages. We present two software solutions which are aimed to combine statistical method servers and the spreadsheet application Excel. We will emphasize the productivity gain in terms of transparency and reproducibility available by combining the computational power of a statistical programming environment with the direct manipulation facilities available in spreadsheet programs like Excel. We also want to stimulate the discussion of securing the communication in such a client/server environment.
|Date of creation:||2003|
|Date of revision:|
|Contact details of provider:|| Postal: Spandauer Str. 1,10178 Berlin|
Web page: http://www.wiwi.hu-berlin.de/
More information through EDIRC
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Aydinli, Gökhan, 2002. "Net based spreadsheets in quantitative finance," SFB 373 Discussion Papers 2002,42, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
- Fengler, Matthias R. & Schwendner, Peter, 2003. "Correlation Risk Premia for Multi-Asset Equity Options," SFB 373 Discussion Papers 2003,10, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
- Wolfgang Härdle & Torsten Kleinow & Rolf Tschernig, 2001.
"Web Quantlets for Time Series Analysis,"
Annals of the Institute of Statistical Mathematics,
Springer;The Institute of Statistical Mathematics, vol. 53(1), pages 179-188, March.
When requesting a correction, please mention this item's handle: RePEc:zbw:sfb373:200326. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (ZBW - German National Library of Economics)
If references are entirely missing, you can add them using this form.