Cross-Selling Investment Products with a Win-Win Perspective in Portfolio Optimization

References

• Adomavicius G, Tuzhilin A (2005) Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions. IEEE Trans. Knowledge Data Engrg. 17(6):734–749.Crossref, Google Scholar
• Bhaskar T, Sundararajan R, Krishnan PG (2009) A fuzzy mathematical programming approach for cross-sell optimization in retail banking. J. Oper. Res. Soc. 60(5):717–727.Crossref, Google Scholar
• Boyle P, Garlappi L, Uppal R, Wang T (2012) Keynes meets Markowitz: The trade-off between familiarity and diversification. Management Sci. 58(2):253–272.Link, Google Scholar
• Bradley AP (1997) The use of the area under the ROC curve in the evaluation of machine learning algorithms. Pattern Recognition 30(7):1145–1159.Crossref, Google Scholar
• Caliendo M, Kopeinig S (2008) Some practical guidance for the implementation of propensity score matching. J. Econom. Surveys 22(1):31–72.Crossref, Google Scholar
• Card D, Krueger AB (2000) Minimum wages and employment: A case study of the fast-food industry in New Jersey and Pennsylvania: Reply. Amer. Econom. Rev. 90(5):1397–1420.Crossref, Google Scholar
• Chankong V, Haimes YY (1983) Multiobjective Decision Making: Theory and Methodology (North-Holland, New York).Google Scholar
• Chawla N (2009) Mining when classes are imbalanced, rare events matter more, and errors have costs attached. SIAM Internat. Conf. Data Mining, Society for Industrial and Applied Mathematics, Philadelphia.Google Scholar
• Chawla NV, Bowyer KW, Hall LO, Kegelmeyer WP (2002) SMOTE: Synthetic Minority Over-sampling Technique. J. Artificial Intelligence Res. 16(1):341–378.Google Scholar
• Cohen M-D (2004) Exploiting response models: Optimizing cross-sell and up-sell opportunities in banking. Inform. Systems 29(4):327–341.Crossref, Google Scholar
• Daniel K, Hirshleifer D, Teoh SH (2002) Investor psychology in capital markets: Evidence and policy implications. J. Monetary Econom. 49(1):139–209.Crossref, Google Scholar
• Das S, Markowitz H, Scheid J, Statman M (2010) Portfolio optimization with mental accounts. J. Financial Quant. Anal. 45(2):311–334.Crossref, Google Scholar
• DeLong ER, DeLong DM, Clarke-Pearson DL (1988) Comparing the areas under two or more correlated receiver operating characteristic curves: A nonparametric approach. Biometrics 44(3):837–845.Crossref, Google Scholar
• Estabrooks A, Jo T, Japkowicz N (2004) A multiple resampling method for learning from imbalanced data sets. Comput. Intelligence 20(1):18–36.Crossref, Google Scholar
• Garlappi L, Uppal R, Wang T (2007) Portfolio selection with parameter and model uncertainty: A multi-prior approach. Rev. Financial Stud. 20(1):41–81.Crossref, Google Scholar
• Goetzmann WN, Kumar A (2008) Equity portfolio diversification. Rev. Finance 12(3):433–463.Crossref, Google Scholar
• Güneş ED, Akşin OZ, Örmeci EL, Özden SH (2010) Modeling customer reactions to sales attempts: If cross-selling backfires. J. Service Res. 13(2):168–183.Crossref, Google Scholar
• Gupta P, Mehlawat MK, Saxena A (2010) A hybrid approach to asset allocation with simultaneous consideration of suitability and optimality. Inform. Sci. 180(11):2264–2285.Crossref, Google Scholar
• Guyon I, Elisseeff A (2003) An introduction to variable and feature selection. J. Machine Learn. Res. 3(March):1157–1182.Google Scholar
• Kahneman D, Riepe MW (1998) Aspects of investor psychology. J. Portfolio Management 24(4):52–65.Crossref, Google Scholar
• Kahneman D, Tversky A (1979) Prospect theory: An analysis of decision under risk. Econometrica 47(2):263–291.Crossref, Google Scholar
• Kahneman D, Knetsch JL, Thaler RH (1991) Anomalies: The endowment effect, loss aversion, and status quo bias. J. Econom. Perspect. 5(1):193–206.Crossref, Google Scholar
• Kamakura WA, Ramaswami SN, Srivastava RK (1991) Applying latent trait analysis in the evaluation of prospects for cross-selling of financial services. Internat. J. Res. Marketing 8(4):329–349.Crossref, Google Scholar
• Kim Y, Street WN, Russell GJ, Menczer F (2005) Customer targeting: A neural network approach guided by genetic algorithms. Management Sci. 51(2):264–276.Link, Google Scholar
• Knott A, Hayes A, Neslin SA (2002) Next-product-to-buy models for cross-selling applications. J. Interactive Marketing 16(3):59–75.Crossref, Google Scholar
• Laurikkala J (2001) Improving identification of difficult small classes by balancing class distribution. Quaglini S, Barahona P, Andreassen S, eds. Artificial Intelligence in Medicine, Lecture Notes in Artificial Intelligence, Vol. 2101 (Springer, Berlin), 63–66.Crossref, Google Scholar
• Li S, Sun B, Montgomery AL (2011) Cross-selling the right product to the right customer at the right time. J. Marketing Res. 48(4):683–700.Crossref, Google Scholar
• Li S, Sun B, Wilcox RT (2005) Cross-selling sequentially ordered products: An application to consumer banking services. J. Marketing Res. 42(2):233–239.Crossref, Google Scholar
• Madrian BC, Shea DF (2001) The power of suggestion: Inertia in 401(k) participation and savings behavior. Quart. J. Econom. 116(4):1149–1187.Crossref, Google Scholar
• Maenhout PJ (2004) Robust portfolio rules and asset pricing. Rev. Financial Stud. 17(4):951–983.Crossref, Google Scholar
• Markowitz H (1952) Portfolio selection. J. Finance 7(1):77–91.Google Scholar
• Mehta N, Chen X, Narasimhan O (2008) Informing, transforming, and persuading: Disentangling the multiple effects of advertising on brand choice decisions. Marketing Sci. 27(3):334–355.Link, Google Scholar
• Moon S, Russell GJ (2008) Predicting product purchase from inferred customer similarity: An autologistic model approach. Management Sci. 54(1):71–82.Link, Google Scholar
• Paolacci G, Burson KA, Rick SI (2011) The intermediate alternative effect: Considering a small trade-off increases subsequent willingness to make large trade-offs. J. Consumer Psych. 21(4):384–392.Crossref, Google Scholar
• Prinzie A, Van den Poel D (2006) Investigating purchasing-sequence patterns for financial services using Markov, MTD and MTDg models. Eur. J. Oper. Res. 170(3):710–734.Crossref, Google Scholar
• Rao CR (1964) The use and interpretation of principal component analysis in applied research. Sankhyā, Ser. A 26(4):329–358.Google Scholar
• Samuelson W, Zeckhauser R (1988) Status quo bias in decision making. J. Risk Uncertainty 1(1):7–59.Crossref, Google Scholar
• Sharpe WF (2007) Expected utility asset allocation. Financial Analysts J. 63(5):18–30.Crossref, Google Scholar
• Shefrin H, Statman M (1985) The disposition to sell winners too early and ride losers too long: Theory and evidence. J. Finance 40(3):777–790.Crossref, Google Scholar
• Shmueli G, Koppius OR (2011) Predictive analytics in information systems research. MIS Quart. 35(3):553–572.Crossref, Google Scholar
• Spranca M, Minsk E, Baron J (1991) Omission and commission in judgment and choice. J. Experiment. Soc. Psych. 27(1):76–105.Crossref, Google Scholar
• Thaler R (1985) Mental accounting and consumer choice. Marketing Sci. 4(3):199–214.Link, Google Scholar
• Vaughan TS, Berry KE (2005) Using Monte Carlo techniques to demonstrate the meaning and implications of multicollinearity. J. Statist. Ed. 13(1):1–9.Google Scholar
• Weiss GM (2004) Mining with rarity: A unifying framework. ACM SIGKDD Explorations Newslett. 6(1):7–19.Crossref, Google Scholar