Browse by author
Lookup NU author(s): Dr Shirley ColemanORCiD
Full text for this publication is not currently held within this repository. Alternative links are provided below where available.
Statistical Process Control (SPC) is a scientific approach to quality improvement in which data are collected and used as evidence of the performance of a process, organisation or set of equipment. One of the SPC techniques, the cumulative sum (CUSUM) method, first developed by E.S. Page (1961), uses a series of cumulative sums of sample data for online process control. This paper reviews CUSUM techniques applied to financial markets in several different ways. The performance of the CUSUM method in predicting regime shifts in stock market indices is then studied in detail. Research in this field so far does not take the transaction fees of buying and selling into consideration. As the study in this paper shows, the performances of the CUSUM when taking account of transaction fees are quite different to those not taking transaction fees into account. The CUSUM plan is defined by parameters h and k. Choosing the parameters of the method should be based on studies that take transaction fees into account. The performances of the CUSUM in different stock markets are also compared in this paper. The results show that the same CUSUM plan has remarkably different performances in different stock markets. © 2006 Taylor & Francis.
Author(s): Yi G, Coleman S, Ren Q
Publication type: Article
Publication status: Published
Journal: Journal of Applied Statistics
ISSN (print): 0266-4763
ISSN (electronic): 1360-0532
Altmetrics provided by Altmetric