What individual investors value: Some Australian evidence

Journal of Economic Psychology

Volumn 25, Issue 4, 2004, Pages 539-555

  Clark Murphy, Marilyn ^a   Soutar, Geoffrey N ^b  

^a EDITH COWAN UNIVERSITY   (Australia)

^b UNIVERSITY OF WESTERN AUSTRALIA   (Australia)

Author keywords

Choice behaviour; Consumer behaviour; Investment

Indexed keywords

EID: 2942687452     PISSN: 01674870     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-4870(03)00056-4     Document Type: Article

References (55)

1. Agarwal, M. (1988). An empirical comparison of traditional conjoint and adaptive conjoint analysis. Working Paper No. 88-140: School of Management, State University of New York at Binghamton
2. Agarwal, M.K. (1988). Comparisons of conjoint methods. In Proceedings of the sawtooth software conference on perceptual mapping, conjoint analysis and computer interviewing (pp. 51-58). Ketchum, ID: Sawtooth Software
3. Agarwal M.K. Green P.E. Adaptive conjoint analysis versus self-explicated models: Some empiricial results International Journal of Research in Marketing 8 1991 141-146
4. Angell J.W. Uncertainty, likelihoods and investment decisions Quarterly Journal of Economics 74 1 1960 1-28
5. Antonides G. Van Der Sar N.L. Individual expectations, risk perception and preferences in relation to investment decision making Journal of Economic Psychology 11 1990 227-245
6. Australian Shareholders' Association (1999). Share the advantages of ASA membership [Brochure]. Sydney: Author
7. Australian Stock Exchange (1997). Shareowners segmentation study. Sydney: Author
8. Australian Stock Exchange Ltd. (1997). Australian shareownership survey. Australian Stock Exchange
9. Australian Stock Exchange Ltd. (2000). 2000 share ownership. Retrieved February 9, 2000. Available: http:www.asx.com.au/L3300.htm
10. Baker H.K. Haslem J.A. Information needs of individual investors Journal of Accountancy 1973 64-69
11. Baker H.K. Haslem J.A. Toward the development of client-specified valuation models Journal of Finance 29 1974 1255-1263
12. Baker H.K. Haslem J.A. The impact of investor socioeconomic characteristics on risk and return preferences Journal of Business Research 2 1974 469-476
13. Blume M.E. Friend I. The changing role of the individual investor: A twentieth century fund report 1978 Wiley New York
14. Clarkson G.P.E. Portfolio selection: A simulation of trust investment 1962 Prentice-Hall Englewood Cliffs, NJ
15. Coval, J. D., Hirshleifer, D. A., & Shumway, T. G. (2002). Can individuals beat the market? Research Paper No. 02-45: Negotiations, Organizations and Markets Research Papers: Harvard University
16. Danaher P.J. Using conjoint analysis to determine the relative importance of service attributes measured in customer satisfaction surveys Journal of Retailing 73 2 1997 235-260
17. Finkbeiner, C. (1988). Comparison of conjoint choice simulators. In Proceedings of the sawtooth software conference on perceptual mapping, conjoint analysis and computer interviewing (pp. 75-108). Ketchum ID: Sawtooth Software
18. Fisher K.L. Statman M. The mean-variance-optimization puzzle: Security portfolios and food portfolios Financial Analysts Journal 53 4 1997 41-50
19. Green P.E. Maheshwari A. Common stock perception and preference: An application of multidimensional scaling Journal of Business 42 1969 439-457
20. Green P.E. Rao V.R. Conjoint measurement for quantifying judgmental data Journal of Marketing Research 8 1971 355-363
21. Green P.E. Srinivasan V. Conjoint analysis in consumer research: Issues and outlook Journal of Consumer Research 5 1978 103-123
22. Green P.E. Srinivasan V. Conjoint analysis in marketing: New developments with implications for research and practice Journal of Marketing 54 1990 3-19
23. Green P.E. Kreiger A.M. Agarwal M.K. Adaptive conjoint analysis: Some caveats and suggestions Journal of Marketing Research 28 1991 215-222
24. Hair J.F.Jr. Anderson R.E. Tatham R.L. Black W.C. Multivariate data analysis with readings 1995 Simon & Schuster Englewood Cliffs, NJ
25. Huber, J. C., Wittink, D. R., Fiedler, J. A., & Miller, R. L. (1991). An empirical comparison of ACA and full profile judgements. Retrieved June 19, 1998. Available: http://www.sawtoothsoftware.com/Techabs.htm#anemp
26. Johnson R.M. Trade-off analysis of consumer values Journal of Marketing Research 11 1974 121-127
27. Johnson, R. M. (1987). Adaptive conjoint analysis. In Proceedings of the sawtooth software conference on perceptual mapping, conjoint analysis and computer interviewing (pp. 253-265). Ketchum, ID: Sawtooth Software
28. Johnson R.M. Comment on "Adaptive conjoint analysis: Some caveats and suggestions" Journal of Marketing Research 28 1991 223-225
29. Jones S.K. Frisch D. Yurack T.J. Kim E. Choices and opportunities: Another effect of framing on decisions Journal of Behavioral Decision Making 11 3 1998 211-226
30. Kahneman D. Tversky A. Prospect theory: An analysis of decision under risk Econometrica 47 1979 263-291
31. Lease R.C. Lewellen W.G. Schlarbaum G.C. The individual investor: Attributes and attitudes Journal of Finance 11 1974 413-438
32. Lewellen W.G. Lease R.C. Schlarbaum G.G. Patterns of investment strategy and behavior among individual investors Journal of Business 50 1977 296-333
33. Lewellen W.G. Lease R.C. Schlarbaum G.G. Portfolio design and portfolio performance: The individual investor Journal of Economics and Business 32 1980 185-197
34. Markham F.W. Diamond J.J. Hermansen C.L. The use of conjoint analysis to study patient satisfaction Evaluation and The Health Professions 22 3 1998 371-378
35. Mear R. Firth M. Cue usage and self-insight of financial analysts Accounting Review 62 1 1987 176-182
36. Metegrano M. ACA system 1993 Sawtooth Software, Inc Sequim, WA
37. Nagy R.A. Obenberger R.W. Factors influencing individual investor behavior Financial Analysts Journal 50 4 1994 63-68
38. Peirson G. Brown R. Easton S. Howard P. Business finance 7th ed. 1998 McGraw-Hill Sydney
39. Potter R.E. An empirical study of motivations of common stock investors Southern Journal of Business 6 1971 41-48
40. Poynter, R. (1999). But why? Putting the understanding into conjoint. In Sawtooth software conference proceedings (pp. 23-29). San Diego, CA: Sawtooth Software
41. Rogers R.K. Grant J. Content analysis of information cited in reports of sell-side financial analysts CFA Digest 28 2 1998 9-30
42. Ross, R. B., & Gulledge, L. G. (1989). The manager versus the customer: A comparison of values. In Sawtooth software conference proceedings: Gaining a competitive advantage through PC-based interviewing and analysis (Vol. 1, pp. 183-195). Evanston, IL: Sawtooth Software
43. Ryan L.V. Buchholtz A.K. Trust, risk, and shareholder decision making: An investor perspective on corporate governance Business Ethics Quarterly 11 1 2001 177-194
44. Schlarbaum G.G. Lewellen W.G. Lease R.C. Realized returns on common stock investments: The experience of individual investors Journal of Business 51 1978 299-325
45. Shefrin H. Beyond greed and fear 2000 Harvard Business School Press Boston
46. Shefrin H. Statman M. The disposition to sell winners too early and ride losers too long: Theory and evidence Journal of Finance 60 1985 777-792
47. Shleifer A. Inefficient markets: An introduction to behavioral finance 2000 Oxford University Press Oxford
48. Slovic P. Analyzing the expert judge: A descriptive study of a stockbroker's decision process Journal of Applied Psychology 53 1969 255-263
49. Solomon M.R. Consumer behavior: Buying, having and being Fourth ed. 1999 Prentice-Hall Upper Saddle River, NJ
50. Soutar G.N. Whiteley A.M. Callan J.L. Group support systems: An alternative to focus groups Australasian Journal of Market Research 4 1 1996 35-46
51. Thaler R. Toward a positive theory of consumer choice Journal of Economic Behavior and Organization 1 1980 39-60
52. Tumbusch, J. J. (1991). Validation of adaptive conjoint analysis (ACA) versus standard concept testing. Retrieved June 19, 1998. Available: http://www.sawtoothsoftware.com/techabs.htm#valid
53. Warneryd K.-E. Stock-market psychology: How people value and trade stocks 2001 Edward Elgar Cheltenham
54. Wilcox, R. T. (1999). Efficient fee structures for mutual funds. In Sawtooth software conference proceedings (pp. 71-97). San Diego, CA: Sawtooth Software
55. Zinkhan F.C. A new approach for jointly evaluating the Six Cs of loan analysis Akron Business and Economic Review 21 1990 8-17