Filtering of high frequency time series data

Data processing: financial – business practice – management – or co – Automated electrical financial or business practice or... – Finance

Reexamination Certificate

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Reexamination Certificate

active

07742959

ABSTRACT:
The present invention is a method and apparatus for filtering high frequency time series data using a variety of techniques implemented on a computer. The techniques are directed to detecting and eliminating data errors such as the decimal error, monotonic series of quotes, long series of repeated quotes, scaling changes, and domain errors. Further, by means of comparison with nearby quotes in the time series, the techniques are also able to evaluate the credibility of the quotes.

REFERENCES:
patent: 5109475 (1992-04-01), Kosaka et al.
patent: 5444819 (1995-08-01), Negishi
patent: 5987432 (1999-11-01), Zusman et al.
patent: 6012042 (2000-01-01), Black et al.
patent: 6185567 (2001-02-01), Ratnaraj et al.
patent: 6381554 (2002-04-01), Matsuo et al.
patent: 6384748 (2002-05-01), Asherman et al.
patent: 6415268 (2002-07-01), Korisch
patent: 6536935 (2003-03-01), Parunak et al.
Bilson, Gretchen. “Adapting Formal Testing Technique for Windows Applications.” Microsoft Systems Journal., v7, n1, p. 77(20), Jan.-Feb. 1992. pp. 1-10.
Rothman, Philip. “Nonlinear Time Series Analysis of Economic and Financial Data.”, Kluwer Academic Publishers, 1999.
Wood, Robert A., “Market Microstructure Research Databases: History and Projections”. Journal of Business & Economic Statistics. Alexandria: Apr. 2000. vol. 18, Iss. 2; p. 140, (8 pages).
Powell, Mark. “Garbage In . . . Garbage Out”. Petroleum Econcomist. London: Feb. 2000. vol. 67, Iss. 2; p. 28 (4 pages).
Dacorogna, Michel M., Ulrich A. Muller, Oliver V. Pictet, Casper G. DeVries. “The Distribution of External Foreign Exchange Rate Returns in Extremely Large Data Sets”. O& A Research Group. Jun. 28, 1995.
Savitch, Walter. “Problem Solving With C++”. Addison Wesley Longman, Inc. 1999. p. 364 (3 pages).
Tsay, Ruey S. “Editor's Introduction to Panel Discussion On Analysis of High-Frequency Data”. Journal of Business & Economic Statistics. Alexandria: Apr. 2000, vol. 18, Iss. 2 p. 139 (1 page).
Dacorogna M.M., Müller U.A., Nagler R.J., Olsen R.B., and Pictet O.V., 1993, “A Geographical Model for the Daily and Weekly Seasonal Volatility in the FX Market,”Journal of International Money and Finance, 12(4), 413-438.
Guillaume D.M., Dacorogna M.M., Davè R.D., Müller U.A., Olsen R.B., and Pictet O.V., 1997, “From the Bird's Eye to the Microscope: A Survey of New Stylized Facts of the Intra-Daily Foreign Exchange Markets,”Finance and Stochastics, 1, 95-129.
Morgan Guaranty, 1996, “RiskMetrics™—Technical Document,”Morgan Guaranty Trust Company of New York, N.Y., 4th edition.
Müller U.A., Dacorogna M.M., and Pictet O.V., 1998, “Heavy Tails in High-Frequency Financial Data,” published in the bookA Practical Guide to Heavy Tails: Statistical Techniques for Analysing Heavy Tailed Distributions, edited by Robert J. Adler, Raisa E. Feldman and Murad S. Taqqu and published by Birkhäuser, Boston 1998, 55-77.
Müller, Ulrich A., Michael Dacorogna, Richard B. Olsen, Olivier V. Pictet, Matthias Schwartz and Claude Morgenegg, “Statistical Study of Foreign Exchange Rates, Empirical Evidence of a Price Change Scaling Law, and Intraday Analysis”,Journal of Banking&Finance, 14 (1990) 1189-1208. North-Holland.

LandOfFree

Say what you really think

Search LandOfFree.com for the USA inventors and patents. Rate them and share your experience with other people.

Rating

Filtering of high frequency time series data does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Filtering of high frequency time series data, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Filtering of high frequency time series data will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-4243307

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.