Thispaper proposes the Blockwise Strong Relationship (BSR) method that calculates the degree of relationship between any pair of stocks based on only their prices. Our method deploys the data transformation adapted from the symbolic aggregation approximation (SAX) and the distance measure using dynamic time warping (DTW). We propose that the time series data should be processed in blocks of some appropriate size rather than the whole series at once. The experiment was done using IMI Energy indices. The result shows that our method can accurately draw the strongest related pair of stocks out of those that all look related on the surface.
Business continuity becomes an important feature for business these days. It is difficult to accept unplanned downtime due to the unavailability of the service, which mostly is unavoidable. The unavailable of the service is the situation such as service failure, unplanned downtime, etc. When such situation occurs, the system will need to look for some solution that will allow the system to continue. A simple but effective solution is to provide at least one alternative path of services that performs similar functions to the usual services which become unavailable. Therefore, switching between service paths is crucial in any reliable system. Service quality of a system or task can be determined with various factors. One of the most common factors is service coupling. This study will analyse the changes in couplings upon service switching, which in turn reflect the overall quality of the system.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.