Skip to main content
Log in

Decision Making for Individual Investors: A Measurement of Latent Difficulties

  • Published:
Journal of Financial Services Research Aims and scope Submit manuscript

Abstract

This study identifies how investors’ confidence and information gathering ability affect their decision making by using the investment theory on crystallized and fluid intelligences. We adopt the Rasch model to analyze latent and unobservable factors that cause difficulties in investment participation for investors in Taiwan. These investors are more confident in technical analysis but less confident in trading regulations. Further, they find media and professional sources difficult to trust, but professional advice is very accessible. Lower income significantly influences investors’ confidence and their information-gathering ability just as youth significantly contributes to more confidence. But gender and maturity significantly contribute to factors that concern their information gathering ability. Regional demographic differences show variations in decision making regarding investment preferences, while increasing income encourages investment diversification through multiple decisions. This study identifies a strong correlation between investors’ confidence and their information gathering ability, thus indicating that investors’ confidence enhances the development of the ability to gather investment information.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

Notes

  1. The currency in Taiwan is the New Taiwan Dollar and abbreviated as “NT$”. The exchange rate between New Taiwan Dollar and U Dollar is about NT$30: US$1 as of May 30, 2012. A mean monthly income of NT$38,560, therefore, equals US$1,285.

  2. To compare each respondent’s reaction in different dimensions, the relationship of different dimensions can be examined (Ghanem et al. 2010; Gorter et al. 2009). The Spearman correlation coefficient is used to determine whether the correlation between different outcome measures exists (Hawthorne et al. 2011).

References

  • Bailey JJ, Nofsinger JR, O’Neill M (2003) A review of major influences on employee retirement investment decisions. J Financ Serv Res 23(2):149–165

    Article  Google Scholar 

  • Barber B, Odean T (2001) Boys will be boys: gender, overconfidence, and common stock investment. Q J Econ 116(1):261–292

    Article  Google Scholar 

  • Benartzi S, Thaler R (2002) How much is investor autonomy worth? J Financ 57(4):1593–1616

    Article  Google Scholar 

  • Bezruczko N, Linacre J (2005) Rasch measurement in health sciences. JAM Press, Minnesota

    Google Scholar 

  • Bijmolt THA, Paas LT, Vermunt JK (2004) Country and consumer segmentation: multi-level latent class analysis of financial product ownership. Int J Res Market 21(4):323–340

    Article  Google Scholar 

  • Bogan V (2008) Stock market participation and the internet. J Financ Quant Anal 43(1):191–212

    Article  Google Scholar 

  • Bond T (2004) Validity and assessment: a Rasch measurement perspective. Metodo Ciencias Comportamiento 5(2):179–194

    Google Scholar 

  • Bond T, Fox C (2001) Applying the rasch model – fundamental measurement in the human sciences. Lawrence Erlbaum Associates, London

    Google Scholar 

  • Campbell J (2006) Household finance. J Financ 61(4):1553–1604

    Article  Google Scholar 

  • Capon N, Fitzsimons GJ, Prince RA (1996) An individual level analysis of the mutual fund investment decision. J Financ Serv Res 10(1):59–82

    Article  Google Scholar 

  • Cattell RB (1971) Abilities: their structure, growth, and action. Houghton Mifflin, Boston

    Google Scholar 

  • Cesarini D, Johannesson M, Lichtenstein P, Sandewall O, Wallace B (2010) Genetic variation in financial decision-making. J Financ 65(5):1725–1754

    Article  Google Scholar 

  • Chamorro-Premuzic T, Furnham A, Ackerman PL (2005) The relationship between personality traits, subjectively-assessed and fluid intelligence. Pers Individ Differ 38(7):1517–1528

    Article  Google Scholar 

  • Cheng YF, Lai YC (2005) Wealth management and investor asset management needs – a study on Kaohsiung Investors. Money Markets – Bimon Rev 9(6):1–24 (in Mandarin)

    Google Scholar 

  • Clark-Murphy M, Soutar GN (2004) What individual investors value: some Australian evidence. J Econ Psychol 25(4):539–555

    Article  Google Scholar 

  • Cohn RA, Lewellen WG, Lease RC, Schlarbaum GG (1975) Individual investor risk aversion and investment portfolio composition. J Financ 30(2):605–620

    Article  Google Scholar 

  • Conrad KJ, Matters MD, Luchins DJ, Hanrahan P, Quasius DL, Lutz G (2006) Development of a money mismanagement measure and cross-validation due to suspected range restriction. J Appl Meas 7(2):1–19

    Google Scholar 

  • Díaz A (2009) Retail investors and the trading of treasury securities. J Financ Serv Res 36:45–63

    Article  Google Scholar 

  • Dorn D, Huberman G (2005) Talk and action: what individual investors say and what they do. Rev Financ 9:437–481

    Article  Google Scholar 

  • Dorn D, Huberman G (2010) Preferred risk habitat of individual investors. J Financ Econ 97(1):155–173

    Article  Google Scholar 

  • Drehmer DE, Belohlav JA, Coye RW (2000) An exploration of employee participation using a scaling approach. Group Organ Manag 25(4):397–418

    Article  Google Scholar 

  • Duncan PW, Bode RK, Min SM, Perera S (2003) Rasch analysis of a new stroke-specific outcome scale: the stroke impact scale. Arch Phys Med Rehabil 84(7):950–963

    Article  Google Scholar 

  • Ewing MT, Salzberger T, Sinkovics RR (2005) An alternate approach to assessing cross-cultural measurement equivalence in advertising research. J Advert 34(1):17–36

    Article  Google Scholar 

  • Facon B (2008) How does the strength of the relationships between cognitive abilities evolve over the life span for low-IQ vs high-IQ adults? Intelligence 36(4):339–349

    Article  Google Scholar 

  • Fisher WP Jr (2009) Invariance and traceability for measure of human, social, and natural capital: theory and application. Measure 42(9):1278–1287

    Google Scholar 

  • Franchignoni F, Giordano A, Sartorio F, Vercelli S, Pascariello B, Ferriero G (2010) Suggestions for refinement of the disabilities of the arm, shoulder and hand outcome measure (DASH): a factor analysis and Rasch validation study. Arch Phys Med Rehabil 91(9):1370–1377

    Article  Google Scholar 

  • Ganglmair A, Lawson R (2003) Measuring affective response to consumption using Rasch modeling. J Consum Satisf Dissatisf Complain Behav 16:198–210

    Google Scholar 

  • Garamendi E, Pesudovs K, Stevens MJ, Elliott DB (2006) The refractive status and vision profile: evaluation of psychometric properties and comparison of Rasch and summated Likert-scaling. Vis Res 46(11):1375–1383

    Article  Google Scholar 

  • Ghanem E, Pawasarat I, Lindsay A, May L, Azzam K, Joshi A, Parvizi J (2010) Limitations of knee society score in evaluating outcomes following revision total knee arthroplasty. J Bone Joint Surg 92(14):2445–2451

    Article  Google Scholar 

  • Glaser M, Weber M (2007) Overconfidence and trading volume. Geneva Risk Insur Rev 32:1–26

    Article  Google Scholar 

  • Glaser M, Weber M (2009) Which past returns affect trading volume? J Financ Markets 12(1):1–31

    Article  Google Scholar 

  • Goetzmann WN, Kumar A (2008) Equity portfolio diversification. Rev Financ 12:433–463

    Article  Google Scholar 

  • Gomes F, Michaelides A (2005) Optimal life-cycle asset allocation: understanding the empirical evidence. J Financ 60(2):869–904

    Article  Google Scholar 

  • Grinblatt M, Keloharju M (2009) Sensation seeking, overconfidence, and trading activity. J Financ 64(2):549–577

    Article  Google Scholar 

  • Gorter JW, Verschuren O, Riel LV, Ketelaar M (2009) The relationship between spasticity in young children (18 months of age) with cerebral palsy and their gross motor function development. BMC Musculoskelet Disord 10(1):108–116

    Article  Google Scholar 

  • Ham H, Kleiner MM (2007) Do industrial relations institutions influence foreign direct investment? Evidence from OECD Nations. Ind Relat 46(2):305–328

    Article  Google Scholar 

  • Hawthorne G, Kaye AH, Gruen R, Houseman D, Bauer I (2011) Traumatic brain injury and quality of life: initial Australian validation of the QOLIBRI. J Clin Neurosci 18(2):197–202

    Article  Google Scholar 

  • Heesch KC, Masse LC, Dunn AL (2006) Using Rasch modeling to re-evaluate three scales related to physical activity: enjoyment, perceived benefits and perceived barriers. Health Edu Res 21(Supplement 1):i58–i72

    Article  Google Scholar 

  • Hoffmann AOI, Broekhuizen TLJ (2010) Understanding investors’ decisions to purchase innovative products: drivers of adoption timing and range. Int J Res Market 27(4):342–355

    Article  Google Scholar 

  • Hong H, Kubik JD, Stein JC (2004) Social interaction and stock-market participation. J Financ 59(1):137–163

    Article  Google Scholar 

  • Jackson TR, Draugalis JR, Slack MK, Zachry WM, D’Agostino J (2002) Validation of authentic performance assessment: a process suited for Rasch modeling. Am J Pharm Edu 66(3):233–243

    Google Scholar 

  • Kahler CW, Strong DR (2006) A Rasch model analysis of DSM-IV alcohol abuse and dependence items in the national epidemiological survey on alcohol and related conditions. Alcohol: Clin Exp Res 30(7):1165–1175

    Article  Google Scholar 

  • Koehler JJ, Mercer M (2009) Selection neglect in mutual fund advertisements. Manag Sci 55(7):1107–1121

    Article  Google Scholar 

  • Lease RC, Wilburg GL, Schlarbaum GG (1974) The individual investor: attributes and attitudes. J Financ 29(2):413–433

    Article  Google Scholar 

  • Liang CJ, Wang WH (2007) The behavioural sequence of the financial services industry in Taiwan: service quality, relationship quality and behavioural loyalty. Serv Ind J 26(2):119–145

    Google Scholar 

  • Linacre J (2006) Winsteps. Rasch measurement computer program. Chicago: winsteps.com. http://www.winsteps.com/winman/index.htm (available 9th October 2006.)

  • Linacre JM, Wright BD (1994) Chi-square fit statistics. Rasch Meas Trans 8(1):350

    Google Scholar 

  • Loibl C, Hira TK (2009) Investor information search. J Econ Psychol 30(1):24–41

    Article  Google Scholar 

  • Massof RW, Fletcher DC (2001) Evaluation of the NEI visual functioning questionnaire as an interval measure of visual ability in low vision. Vis Res 41(3):397–413

    Article  Google Scholar 

  • Masters GN (1982) A Rasch model for partial credit scoring. Psychom 47(2):149–174

    Article  Google Scholar 

  • Moral FJ, Alvarez P, Canito JL (2006) Mapping and hazard assessment of atmospheric pollution in a medium sized urban area using the Rasch model and geostatistics techniques. Atmos Environ 40(8):1408–1418

    Article  Google Scholar 

  • Nofsinger JR (2001) The impact of public information on investors. J Bank Financ 25(7):1339–1366

    Article  Google Scholar 

  • Oreja-Rodríguez JR, Yanes-Estevez V (2007) Perceived environmental uncertainty in tourism: a new approach using the Rasch model. Tour Manag 28(6):1450–1463

    Article  Google Scholar 

  • Pallant JF, Tennant A (2007) An introduction to the Rasch measurement model: an example using the Hospital Anxiety and Depression Scale (HADS). Br J Clin Psychol 46(1):1–18

    Article  Google Scholar 

  • Pellinen A, Tormakangas K, Uusitalo O, Raijas A (2011) Measuring the financial capability of investors. Int J Bank Market 29(2):107–133

    Article  Google Scholar 

  • Pickard AS, Dalal MR, Bushnell DM (2006) A comparison of depressive symptoms in stroke and primary care; applying Rasch models to evaluate the center for epidemiologic studies-depression scale. Value Health 9(1):59–64

    Article  Google Scholar 

  • Plath DA, Stevenson TH (2005) Financial services consumption behavior across Hispanic American consumers. J Bus Res 58(8):1089–1099

    Article  Google Scholar 

  • Primi R, Ferrão ME, Almeida LS (2010) Fluid intelligence as a predictor of learning: a longitudinal multilevel approach applied to math. Learn Individ Differ 20(5):446–451

    Article  Google Scholar 

  • Radcliffe CR (1990) Investment: concepts, analysis and strategy (3rd ed.).

  • Rapp T, Aubert N (2011) Bank employee incentives and stock purchase plans participation. J Financ Serv Res 40:185–203

    Article  Google Scholar 

  • Rasch G (1960) Probabilistic models for some intelligence and attainment tests. University of Chicago Press, Chicago

    Google Scholar 

  • Schlarbaum GG, Lewellen WG, Lease RC (1978) The common-stock portfolio performance record of individual investors: 1964-70. J Financ 33(2):429–441

    Article  Google Scholar 

  • Schweizer K, Koch W (2002) A revision of Cattell’s Investment Theory: cognitive properties influencing learning. Learn Individ Differ 13(1):57–82

    Article  Google Scholar 

  • Sierminska E, Brandolini A, Smeeding TM (2006) The Luxembourg wealth study – a cross-country comparable database for household wealth research. J Econ Inequal 4:375–383

    Article  Google Scholar 

  • Slovic P (1972) Psychological study of human judgment: implications for investment decision making. J Financ 27(4):779–799

    Article  Google Scholar 

  • Smith EV Jr, Smith RM (2004) Introduction to Rasch measurement – theory, models and applications. JAM Press, Minnesota

    Google Scholar 

  • Soutar GN, Cornish-Ward SP (1997) Ownership patterns for durable goods and financial assets: a Rasch analysis. Appl Econ 29(7):903–911

    Article  Google Scholar 

  • Tesio L (2003) Measuring behaviours and perceptions: Rasch analysis as a tool for rehabilitation research. J Rehabil Med 35(3):105–115

    Article  Google Scholar 

  • Wang HC, Pallister JG, Foxall GR (2006) Innovativeness and involvement as determinants of website loyalty: III. Theoretical and managerial contributions. Technovation 26(12):1374–1383

    Article  Google Scholar 

  • Wright BD (1996) Reliability and separation. Rasch Meas Trans 9(4):472

    Google Scholar 

  • Yang AS (2009a) Exploring adoption difficulties in mobile banking services. Can J Adm Sci 26(2):136–149

    Article  Google Scholar 

  • Yang AS (2009b) Joint production in banking industry. Indian J Financ 3(6):45–55

    Google Scholar 

Download references

Acknowledgments

The author is grateful to Haluk Ünal (the Editor-in-Chief), David K. Musto (the editor) and an anonymous referee for their helpful comments and suggestions that have significantly improved this paper. The author thanks the National Science Council (NSC) of Taiwan, ROC, for financially supporting this research under the grant NSC97-2410-H-006-094-SSS.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ann Shawing Yang.

Appendix

Appendix

Table 9 Tasks in the 37-task Questionnaire for the Investor Decision-Making Survey. This table presents the 37 tasks of the survey questionnaire. Respondents were asked to select the most appropriate response on a five-point Likert scale. This questionnaire is categorized into investor-confidence and information-gathering dimensions by asking “how difficult” a task is for execution

Rights and permissions

Reprints and permissions

About this article

Cite this article

Yang, A.S. Decision Making for Individual Investors: A Measurement of Latent Difficulties. J Financ Serv Res 44, 303–329 (2013). https://doi.org/10.1007/s10693-012-0144-0

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10693-012-0144-0

Keywords

JEL Classification

Navigation