Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.ins.2010.08.035
Title: A case study on financial ratios via cross-graph quasi-bicliques
Authors: Sim, K.
Liu, G. 
Gopalkrishnan, V.
Li, J.
Keywords: 3D subspace clustering
Financial data mining
Financial ratios analysis
Quasi-bicliques
Issue Date: 2011
Source: Sim, K.,Liu, G.,Gopalkrishnan, V.,Li, J. (2011). A case study on financial ratios via cross-graph quasi-bicliques. Information Sciences 181 (1) : 201-216. ScholarBank@NUS Repository. https://doi.org/10.1016/j.ins.2010.08.035
Abstract: Stocks with similar financial ratio values across years have similar price movements. We investigate this hypothesis by clustering groups of stocks that exhibit homogeneous financial ratio values across years, and then study their price movements. We propose using cross-graph quasi-biclique (CGQB) subgraphs to cluster stocks, as they can define the three dimensional (3D) subspaces of financial ratios that the stocks are homogeneous in across the years, and they can also handle missing values that are rampant in the stock data. Furthermore, investors can easily analyze these 3D subspaces to explore the relations between the stocks and financial ratios. We develop a novel algorithm, CGQBminer, which mines the complete set of CGQB subgraphs from the stock data. Through experimental analysis, we show that the hypothesis is valid. Furthermore, we demonstrate that having an investment strategy which uses groups of stocks mined by CGQB subgraphs have higher returns than one that does not. We also conducted an extensive performance analysis on CGQBminer, and show that it is efficient across different 3D datasets and parameter settings. © 2010 Elsevier Inc. All rights reserved.
Source Title: Information Sciences
URI: http://scholarbank.nus.edu.sg/handle/10635/39676
ISSN: 00200255
DOI: 10.1016/j.ins.2010.08.035
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