October 18, 2007
An unqualified, unordered, list of statistical resources that have relevance to trading.
The list is dynamic and subject to change without notice.
NOTE – SOME OF THE LINKS CONTAIN COMMERCIAL REFERENCES, OR LINK TO COMMERCIAL SITES.
THE AUTHOR HAS NO COMMERCIAL AFFILIATIONS OF ANY KIND AND RECEIVES NO GRATUITIES, OR BENEFITS, FROM ANY COMMERCIAL ORGANIZATION OR INDIVIDUAL INVOLVED IN COMMERCIAL ACTIVITIES, NOR IS HE PERSONALLY ENGAGED IN ANY COMMERCIAL UNDERTAKINGS, RELATED TO TRADING, IN ANY WAY.
THE LINKS ARE PROVIDED AS A RESOURCE AND FOR EDUCATIONAL PURPOSES ONLY. THEY ARE NOT A RECOMMENDATION, ON THE PART OF THE AUTHOR, NOR DO THEY CONSTITUTE INVESTMENT ADVICE AND SHOULD NOT BE CONSTRUED AS SUCH.
1. Link to a short introductory article on the pitfalls of Neural Networking "A Little Knowledge Can Be A Dangerous Thing" by Dr. Halbert White: http://www.secondmoment.org/articles/ann.php
2. Link to a short introductory article on over-fitting data "Reality Check for Data Mining" by Dr. Halbert White: http://www.secondmoment.org/articles/datamining.php
3. Link to a short introductory article on managing missing data "The Curse of the Missing Data" by Yong Kim: http://www.secondmoment.org/articles/missingdata.php
4. Link to a dictionary level definition of the statistical P-value: http://en.wikipedia.org/wiki/P-value
5. Link to the Home Page of the The American Finance Association (AFA): the premier academic organization devoted to the study and promotion of knowledge about financial economics: http://www.afajof.org/default.asp
Publishers of the Journal of Finance:
- search or browse back issues,
- free to students,
- reasonably priced for others,
- registration by international visitors accepted.
6. Link to an overview of Technical Analysis: http://en.wikipedia.org/wiki/Technical_analysis
7. Link to a short, mathematically orientated, article on trend analysis (includes links to regression and least squares methodology): http://en.wikipedia.org/wiki/Trend_estimation
DRAFT – SUBJECT TO CHANGE – IT IS POSSIBLE THAT REVIEWS WILL BE ADDED AT SOME TIME IN THE FUTURE.
1) Aronson – Professor David R, "Evidence-Based Technical Analysis", John Wiley & Sons Inc, 2007.
Link to Professor Aronson’s Home Page: http://www.evidencebasedta.com/
Professor Aronson has a long term interest in applying "data mining and non-linear predictive modelling to the development of systematic trading methods".
His web-site includes links to two downloadable PDF’s:
- Monte Carlo Permutation Evaluation of Trading Systems
- Reader Questions & Answers
(Thanks to Whitney Broach who first introduced the author to Aronson’s work via the AmiBrokerYahooGroup).
2) Bandy – Doctor Howard B,"Quantitative Trading Systems", Blue Owl Press, 2007.
Link to Doctor Bandy’s home page: http://www.quantitativetradingsystems.com/index.html
3) Bernstein – Peter L, "Against The Gods", John Wiley & Sons Inc, 1998.
4) Katz – Jeffy Owen and McCormack – Donna L, " The Encyclopedia of Trading Strategies", McGraw-Hill, 2000.
5) Kaufman – Perry J, "New Trading Systems and Methods", John Wiley & Sons, Inc, 2005.
An intermediate level reference book that is up to the mark with the latest trading techniques. It isn’t a book specifically on ‘statistics for traders’ but it does include analysis, underpinned by sound logic and quantitative methodologies, on a wide range of trading related subjects.
6) Kennedy – Peter, "A Guide To Econometrics", T. J. Press Ltd, 1992.
7) Kestner – Lars N, "Quantitative Trading Strategies", McGraw-Hill, 2003.
8a) Pardo – Robert, "Design, Testing, and Optimization of Trading Systems", John Wiley & Sons, Inc, 1992.
8b) Pardo – Robert, "The Evaluation and Optimization of Trading Strategies", John Wiley & Sons, Inc, 2008?
Link to Bob Pardo’s Home Page: http://www.pardocapital.com/
9) Stridsman – Thomas, "Trading Systems That Work", McGraw-Hill, 2001.
10) Taleb – Nassim Nicholas, "Fooled By Randomness", Random House, 2005.
11b) Vince – Ralph, "The Mathematics Of Money Management: Risk Analysis Techniques For Traders", John Wiley & Sons, Inc, 1992.