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Volumn 21, Issue 4, 2015, Pages 503-522

Hybrid support vector machine rule extraction method for discovering the preferences of stock market investors: Evidence from Montenegro

Author keywords

Decision trees; Rule extraction; Stock trading preferences; Support vector machine

Indexed keywords


EID: 84938546914     PISSN: 10798587     EISSN: 2326005X     Source Type: Journal    
DOI: 10.1080/10798587.2014.971500     Document Type: Article
Times cited : (9)

References (42)
  • 1
    • 0029484103 scopus 로고
    • Survey and critique of techniques for extracting rules from trained artificial neural networks
    • R.Andrews,, J.Diederich,, & A.B.Tickle, (1995). Survey and critique of techniques for extracting rules from trained artificial neural networks. Knowledge-based Systems, 8, 373–389.
    • (1995) Knowledge-based Systems , vol.8 , pp. 373-389
    • Andrews, R.1    Diederich, J.2    Tickle, A.B.3
  • 2
    • 84884973537 scopus 로고    scopus 로고
    • Nationality and risk attitude: Testing differences and similarities of investors' behavior in selected financial markets
    • Y.Apartsin,, Y.Maymon,, Y.Cohen,, & G.Singer, (2013). Nationality and risk attitude: Testing differences and similarities of investors' behavior in selected financial markets. Global Finance Journal, 24, 114–118.
    • (2013) Global Finance Journal , vol.24 , pp. 114-118
    • Apartsin, Y.1    Maymon, Y.2    Cohen, Y.3    Singer, G.4
  • 3
    • 77957018181 scopus 로고    scopus 로고
    • A hybrid SVM based decision tree
    • M.Arun Kumar,, & M.Gopal, (2010). A hybrid SVM based decision tree. Pattern Recognition, 43, 3977–3987.
    • (2010) Pattern Recognition , vol.43 , pp. 3977-3987
    • Arun Kumar, M.1    Gopal, M.2
  • 4
    • 78649486389 scopus 로고    scopus 로고
    • Rule extraction from support vector machines: A review
    • N.Barakat,, & A.P.Bradley, (2010). Rule extraction from support vector machines: A review. Neurocomputing, 74, 178–190.
    • (2010) Neurocomputing , vol.74 , pp. 178-190
    • Barakat, N.1    Bradley, A.P.2
  • 6
    • 0040884260 scopus 로고    scopus 로고
    • Boys will be boys: Gender, overconfidence, and common stock investment
    • B.M.Barber,, & T.Odean, (2001). Boys will be boys: Gender, overconfidence, and common stock investment. The Quarterly Journal of Economics, 116, 261–292.
    • (2001) The Quarterly Journal of Economics , vol.116 , pp. 261-292
    • Barber, B.M.1    Odean, T.2
  • 13
    • 33744917264 scopus 로고    scopus 로고
    • Do domestic and foreign fund managers have similar preferences for stock characteristics? A cross-country analysis
    • V.Covrig,, S.T.Lau,, & L.Ng, (2006). Do domestic and foreign fund managers have similar preferences for stock characteristics? A cross-country analysis. Journal of International Business Studies, 37, 407–429.
    • (2006) Journal of International Business Studies , vol.37 , pp. 407-429
    • Covrig, V.1    Lau, S.T.2    Ng, L.3
  • 14
    • 84938547646 scopus 로고    scopus 로고
    • Value versus growth investing: Why do different investors have different styles?
    • H.Cronqvist,, S.Siegel,, & F.Yu, (2013). Value versus growth investing: Why do different investors have different styles? Available at SSRN 2351123.
    • (2013) Available at SSRN 2351123
    • Cronqvist, H.1    Siegel, S.2    Yu, F.3
  • 15
    • 0001656840 scopus 로고    scopus 로고
    • Direct foreign ownership, institutional investors, and firm characteristics
    • M.Dahlquist,, & G.Robertsson, (2001). Direct foreign ownership, institutional investors, and firm characteristics. Journal of Financial Economics, 59, 413–440.
    • (2001) Journal of Financial Economics , vol.59 , pp. 413-440
    • Dahlquist, M.1    Robertsson, G.2
  • 17
    • 38049053176 scopus 로고    scopus 로고
    • Rule extraction from support vector machines: An introduction
    • Berlin: Springer
    • J.Diederich, (2008). Rule extraction from support vector machines: An introduction. In Rule extraction from support vector machines (pp. 3–31). Berlin: Springer.
    • (2008) Rule extraction from support vector machines , pp. 3-31
    • Diederich, J.1
  • 18
    • 74049136081 scopus 로고    scopus 로고
    • Quo vadis? Reliable and practical rule extraction from neural networks
    • Berlin: Springer
    • J.Diederich,, A.B.Tickle,, & S.Geva, (2010). Quo vadis? Reliable and practical rule extraction from neural networks. In Advances in machine learning I (pp. 479–490). Berlin: Springer.
    • (2010) Advances in machine learning I , pp. 479-490
    • Diederich, J.1    Tickle, A.B.2    Geva, S.3
  • 20
    • 29144499905 scopus 로고    scopus 로고
    • Working set selection using second order information for training support vector machines
    • R.E.Fan,, P.H.Chen,, & C.J.Lin, (2005). Working set selection using second order information for training support vector machines. The Journal of Machine Learning Research, 6, 1889–1918.
    • (2005) The Journal of Machine Learning Research , vol.6 , pp. 1889-1918
    • Fan, R.E.1    Chen, P.H.2    Lin, C.J.3
  • 21
    • 84859213527 scopus 로고    scopus 로고
    • Preprocessing unbalanced data using support vector machine
    • M.A.H.Farquad,, & I.Bose, (2012). Preprocessing unbalanced data using support vector machine. Decision Support Systems, 53, 226–233.
    • (2012) Decision Support Systems , vol.53 , pp. 226-233
    • Farquad, M.A.H.1    Bose, I.2
  • 23
    • 62449205494 scopus 로고    scopus 로고
    • Sensation seeking, overconfidence, and trading activity
    • M.Grinblatt,, & M.Keloharju, (2009). Sensation seeking, overconfidence, and trading activity. The Journal of Finance, 64, 549–578.
    • (2009) The Journal of Finance , vol.64 , pp. 549-578
    • Grinblatt, M.1    Keloharju, M.2
  • 25
    • 84863723081 scopus 로고    scopus 로고
    • Asset portfolio optimization using support vector machines and real-coded genetic algorithm
    • P.Gupta,, M.K.Mehlawat,, & G.Mittal, (2012). Asset portfolio optimization using support vector machines and real-coded genetic algorithm. Journal of Global Optimization, 53, 297–315.
    • (2012) Journal of Global Optimization , vol.53 , pp. 297-315
    • Gupta, P.1    Mehlawat, M.K.2    Mittal, G.3
  • 28
    • 0031256734 scopus 로고    scopus 로고
    • Why is there a home bias? An analysis of foreign portfolio equity ownership in Japan
    • J.K.Kang,, & R.Stulz, (1997). Why is there a home bias? An analysis of foreign portfolio equity ownership in Japan. Journal of Financial Economics, 46, 3–28.
    • (1997) Journal of Financial Economics , vol.46 , pp. 3-28
    • Kang, J.K.1    Stulz, R.2
  • 29
    • 84938336319 scopus 로고    scopus 로고
    • Analysis of investors' preferences in the Montenegro stock market using data mining techniques
    • L.Kašćelan, Lj, V.Kašćelan,, & M.Jovanović, (2014). Analysis of investors' preferences in the Montenegro stock market using data mining techniques. Economic Research-Ekonomska Istraživanja, 27, 463–482. doi:10.1080/1331677X.2014.970451.
    • (2014) Economic Research-Ekonomska Istraživanja , vol.27 , pp. 463-482
    • Kašćelan, L.1    Kašćelan, V.2    Jovanović, M.3
  • 31
  • 32
    • 33644987401 scopus 로고    scopus 로고
    • Revealed stock preferences of individual investors: Evidence from Chinese equity markets
    • L.Ng,, & F.Wu, (2006). Revealed stock preferences of individual investors: Evidence from Chinese equity markets. Pacific-Basin Finance Journal, 14, 175–192.
    • (2006) Pacific-Basin Finance Journal , vol.14 , pp. 175-192
    • Ng, L.1    Wu, F.2
  • 33
    • 10944251335 scopus 로고    scopus 로고
    • Rule extraction from support vector machines
    • April, Bruges (Belgium): d-side publi
    • H.Núñez,, C.Angulo,, & A.Català, (2002, April). Rule extraction from support vector machines. In ESANN (pp. 107–112). Bruges (Belgium): d-side publi.
    • (2002) ESANN , pp. 107-112
    • Núñez, H.1    Angulo, C.2    Català, A.3
  • 34
    • 79961037630 scopus 로고    scopus 로고
    • An enhanced support vector machines model for classification and rule generation
    • Berlin: Springer
    • P.F.Pai,, & M.F.Hsu, (2011). An enhanced support vector machines model for classification and rule generation. In Computational optimization, methods and algorithms (pp. 241–258). Berlin: Springer.
    • (2011) Computational optimization, methods and algorithms , pp. 241-258
    • Pai, P.F.1    Hsu, M.F.2
  • 35
    • 4344710137 scopus 로고    scopus 로고
    • Wealth, information acquisition, and portfolio choice
    • J.Peress, (2004). Wealth, information acquisition, and portfolio choice. Review of Financial Studies, 17, 879–914.
    • (2004) Review of Financial Studies , vol.17 , pp. 879-914
    • Peress, J.1
  • 37
    • 84938546647 scopus 로고    scopus 로고
    • Retrieved from (accessed 30.01.2014)
    • Rapid Miner User Manual Retrieved from www.rapidminer.com (accessed 30.01.2014).
  • 38
    • 84885660668 scopus 로고    scopus 로고
    • Rule extraction from neural networks and support vector machines for credit scoring
    • Berlin: Springer
    • R.Setiono,, B.Baesens,, & D.Martens, (2012). Rule extraction from neural networks and support vector machines for credit scoring. In Data mining: Foundations and intelligent paradigms (pp. 299–320). Berlin: Springer.
    • (2012) Data mining: Foundations and intelligent paradigms , pp. 299-320
    • Setiono, R.1    Baesens, B.2    Martens, D.3
  • 39
    • 84863248452 scopus 로고    scopus 로고
    • Rule extraction algorithm from support vector machines and its application to credit screening
    • C.T.Su,, & Y.C.Chen, (2012). Rule extraction algorithm from support vector machines and its application to credit screening. Soft Computing, 16, 645–658.
    • (2012) Soft Computing , vol.16 , pp. 645-658
    • Su, C.T.1    Chen, Y.C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.