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dc.contributor.authorBock, David
dc.contributor.authorAndersson, Eva
dc.contributor.authorFrisén, Marianne
dc.date.accessioned2007-12-13T11:42:37Z
dc.date.available2007-12-13T11:42:37Z
dc.date.issued2007-12-13T11:42:37Z
dc.identifier.issn0349-8034
dc.identifier.urihttp://hdl.handle.net/2077/8476
dc.description.abstractFinancial trading rules have the aim of continuously evaluating available information in order to make timely decisions. This is also the aim of methods for statistical surveillance. Many results are available regarding the properties of surveillance methods. We give a review of financial trading rules and use the theory of statistical surveillance to find properties of some commonly used trading rules. In addition, a nonparametric and robust surveillance method is proposed as a trading rule. Evaluation measures used in statistical surveillance are compared with those used in finance. The Hang Seng Index is used for illustration.en
dc.description.sponsorshipSwedish Research Council, The Bank of Sweden Tercentenary Foundation, Kungliga and Hvitdfeldtska Stiftelsen, Wilhelm and Martina Lundgrens Vetenskapsfond and the West Sweden Chamber of Commerce and Industryen
dc.language.isoengen
dc.relation.ispartofseriesResearch Reporten
dc.relation.ispartofseries2007:8en
dc.subjectTrading rulesen
dc.subjectHidden Markov modelen
dc.subjectFilter ruleen
dc.subjectMoving averageen
dc.subjectStatistical surveillanceen
dc.titleSimilarities and differences between statistical surveillance and certain decision rules in financeen
dc.typeTexten
dc.type.svepreporten
dc.gup.originGöteborg Universityen
dc.gup.departmentStatistical Research Unit, Department of Economicsen


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