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題名：台灣股票市場散戶存活率之研究
作者：陳明憲
作者(外文)：Chen, Ming-Hsien
校院名稱：國立政治大學
系所名稱：財務管理研究所
指導教授：周行一
學位類別：博士
出版日期：2007
主題關鍵詞：投資行為；存活率；散戶；個別投資人；investing behaviors；survival analysis；proporation hazard model；individual investor
原始連結：連回原系統網址new window
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Who can survive longer and what factors could prolong the trading life of individual investors in the market? This is the questions we ask in the dissertation. Based on our knowledge, there is not any research about the issue of survival analysis on analyzing individual investors in stock market. The paper classifies three possibilities could affect the trading life of investors: personal characteristics, trading behavior, and market condition. In the dissertation, we use tick-by-tick transaction data from the Taiwan Stock Exchange to profile survivors versus non-survivors, to investigate how the traders’ characteristics (such as, gender), trading behaviors (such as the degree of diversification, trading amount and trading frequency) and market condition affect the trading life of investors.
We borrow the proportional hazard models proposed by Cox (1972) who used in bio-statistics to analyze the survival rate. Using the Kaplan-Meier curves for male and female, we find that survival functions and hazard rates of female investors have better survival prognosis than the male investors. Different timing of entering results in distinct patterns of survival curves and hazard rates. Investors entering that market in the bull and bear market have a larger survival rate than those who enter the market in normal time during the trading life from 1 to 7 years. Moreover, as the trading life increases larger 7 year, the three curves of bull, bear and normal market conditions, respectively, appear to get closer, suggesting that if trading life is shorter than 7 years, the investors entering in the bull and bear markets seemly have lower hazard ratio than that in the normal market to leave the market.
Finally, the results of Cox’s proportional hazard model show that female investors stay in the market 74 days longer than the male. Trading cycle increasing by one day will prolong the traders in the market by 4.8 days. Average volume per trade measured in ten thousands does not have economic effect on the trading duration, although its estimate is statistically significant. A one percentage increase of portfolio return will reduce about 151 days of the trading life. One more stock in the portfolio will prolong about 133 days in the trading life. The effect on the trading duration of trading performance of those who enter in the bull market is positive.
Who can survive longer and what factors could prolong the trading life of individual investors in the market? This is the questions we ask in the dissertation. Based on our knowledge, there is not any research about the issue of survival analysis on analyzing individual investors in stock market. The paper classifies three possibilities could affect the trading life of investors: personal characteristics, trading behavior, and market condition. In the dissertation, we use tick-by-tick transaction data from the Taiwan Stock Exchange to profile survivors versus non-survivors, to investigate how the traders’ characteristics (such as, gender), trading behaviors (such as the degree of diversification, trading amount and trading frequency) and market condition affect the trading life of investors.
We borrow the proportional hazard models proposed by Cox (1972) who used in bio-statistics to analyze the survival rate. Using the Kaplan-Meier curves for male and female, we find that survival functions and hazard rates of female investors have better survival prognosis than the male investors. Different timing of entering results in distinct patterns of survival curves and hazard rates. Investors entering that market in the bull and bear market have a larger survival rate than those who enter the market in normal time during the trading life from 1 to 7 years. Moreover, as the trading life increases larger 7 year, the three curves of bull, bear and normal market conditions, respectively, appear to get closer, suggesting that if trading life is shorter than 7 years, the investors entering in the bull and bear markets seemly have lower hazard ratio than that in the normal market to leave the market.
Finally, the results of Cox’s proportional hazard model show that female investors stay in the market 74 days longer than the male. Trading cycle increasing by one day will prolong the traders in the market by 4.8 days. Average volume per trade measured in ten thousands does not have economic effect on the trading duration, although its estimate is statistically significant. A one percentage increase of portfolio return will reduce about 151 days of the trading life. One more stock in the portfolio will prolong about 133 days in the trading life. The effect on the trading duration of trading performance of those who enter in the bull market is positive.
Allison, Paul, 1985, Survival analysis of backward recurrence times, Journal of the American Statistical Association, 80, 315-322.
Allison, Paul, 1995. Survival Analysis Using SAS: a Practical Guide, SAS Institute Inc., USA.
Arulampalam, Wiji, and Mark B. Stewart, 1995, The determinants of individual unemployment durations in an era of high unemployment, Economic Journal, 105, 321-332.
Audretsch, David B., and Talat Mahmood, 1994, The rate of hazard confronting new firms and plants in US manufacturing, Review of Industrial Organisation, 9, 41-56.
Audretsch, David B., and Talat Mahmood. 1995, New firm survival: new results using a hazard function. Review of Economics and Statistics, 77, 97-103.
Badrinath, S. G. and Wilbur G. Lewellen, 1991, Evidence on tax-motivated securities trading behavior, Journal of Finance, XLVI, 369-382.
Bandopadhyaya, Arindam and Sanjiv Jaggia, 2001, An analysis of second time around bankruptcies using a split-population duration model, Journal of Empirical Finance, 8, 201-218

Banerjee, A. V., 1992. A simple model of herd behavior. Quarterly Journal of Economics, 107, 797-817.
Bange, Mary M., 2000, Do the portfolios of small investors reflect positive feedback trading?, Journal of Financial and Quantitative Analysis, 35, 239-255.
Barber, Brad M., Lee, Yi-Tsung, Liu, Yu-Jane and Odean, Terrance, 2004, Who loses from trade? evidence from Taiwan, workong paper.
Barber, Brad M., Lee, Yi-Tsung, Liu, Yu-Jane and Odean, Terrance, 2006, Do individual day traders make money? Evidence from Taiwan, working paper.
Barber, Brade and Terance Odean, 2000, Trading is Hazardous to Your Wealth: The Common Stock Investment Performance of Individual Investors, Journal of Finance, LV, 773-806.
Barber, Brade and Terance Odean, 2001, Boys will be Boys: Gender, Overconfidence, and Common Stock Investment, Quarterly Journal of Economics, 116, 261-292.
Barberis, Nicholas, and Ming Huang, and Richard H. Thaler, 2003, Individual preferences, monetary gambles and the equity premium, Working Paper, Graduate School of Business, University of Chicago, September 2003.
Bauwens, Luc & Veredas, David, 2004. "The stochastic conditional duration model: a latent variable model for the analysis of financial durations," Journal of Econometrics, Elsevier, vol. 119, 381-412,
Benartzi, Shlomo and Richard H. Thaler, 2002, How Much Is Investor Autonomy Worth?, Journal of Finance, 57, 1593-1616.
Berkson J., and Gage R., 1950, Calculation of survival rates for cancer, Proceedings of Staff Meetings of the Mayo Clinic , 270-286.
Berg, Gerard J., and Jan C. van Ours, 1996, Unemployment dynamics and duration dependence, Journal of Labor Economics, 14, 100-125.
Biais, B., Hilton, D., Mazurier, K., & Pouget, S. (2005). Judgemental overconfidence, self-monitoring, and trading performance in an experimental financial market, Review of Economic Studies 72, 287-312.
Bikhchandani, S., Hirshleifer, D., Welch, I., 1992. A theory of fads, fashion, custom and cultural change as informational cascades. Journal of Political Economy,100, 992-1026.
Bikhchandani, S., Sharma, S., 2000. Herd behavior in financial markets: A review. IMF working paper.
Black, Fischer, 1986, Noise, Journal of Finance, 41, 529-543.
Brindley, E. C., and W. A. Thompson, 1972, Dependence and aging aspects of multivariate survival, Journal of the American Statistical Association, 67, 822-830.
Cameron, Colin, and Anthony Hall, 2003, A survival analysis of Australian equity mutual funds, Australian Journal of Management, 28, 209-226.
Chakravarty, S. 2001. Stealth trading: Which traders’ trades move stock prices? Journal of Financial Economics 61: 289-307.
Choe, H., Kho, B. C., Stulz R. M., 1999. Do foreign investors destabilize stock markets? The Korean experience in 1997. Journal of Financial Economics 54, 227-264.
Chui, P.M.W. , 2001, An Experimental Study of the Disposition Effect: Evidence From Macau. The Journal of Psychology and Financial Markets 2, 216–222.
Chow, Edward and Ming-Hsien Chen, 2006, Time-Varying Risk, Myopic Loss Aversion and Equity Premium Puzzle in Taiwan, working paper.
Cohn, Richard A., Wilbur G. Lewellen., Ronald C. Lease. and Gary G. Schlarbaum, 1975, Individual investor risk aversion and investment portfolio composition, Journal of Finance, 30, 605-620.
Crowley, John, and Marie Hu, 1977, Covariance analysis of heart transplant survival data, Journal of the American Statistical Association, 72, 27-36.
Cutler, S.J. & Ederer, F.,1958, Maximum utilization of the life table method in analyzing survival. Journal of Chronic Diseases, 8, 699-714.
Cutler, D., Poterba J., Summers L., 1990. Speculative dynamics and the role of feedback traders. American Economic Review 80, 68-72.
Darwin, C. ,1859, On the Origin of Species. John Murray, London.
Deily, Mary E., 1988, Investment activity and the exit decision, Review of Economics and Statistics, 70, 595–602.
De Long, J. B., A. Shleifer, L. Summers, and R. Waldmann, 1991, The survival of noise traders in financial markets, Journal of Business, 64, 1-19.
Deville, Laurent, and Fabrice Riva, 2006, The efficiency process in option markets: a survival analysis approach, working paper, Paris Dauphine University.
Dhar, Ravi, and Alok Kumar, 2002, A non-random walk down the main street: impact of price trends on trading decision of individual investors, working paper, Yale University.
Dhar, Ravi, and Ning Zhu, 2006, Up close and personal: An individual level analysis of the disposition effect, Management Science, 52, 726-740.
Disney, Richard, Jonathan Haskel and Ylva Heden, 2003, Entry, exit and establishment survival in UK manufacturing, Journal of Industrial Economics, 51, 91-112.
Doi, Noriyuki, 1999, The determinants of firm exit in Japanese manufacturing industries, Small Business Economics, 13, 331-337.
Donald, Robert, 1892, Duration of the life of workman, Economic Journal, 2, 176-178.
Dunne, Paul, and Alan Hughes, 1994, Age, size, growth and survival: UK companies in the 1980s, Journal of Industrial Economics, 42, 115-140.
Efron, Bradley, 1977, The efficiency of Cox’s likelihood function for censored data, Journal of the American Statistical Association, 76, 312-319.
Efron, Bradley, 1988, Logistic regression, survival analysis, and the Kaplan- Meier curve, Journal of the American Statistical Association, 83, 414-425.
Engle, R., and J. Russell, 1998, Autoregressive conditional duration: a new model for irregular spaced transaction data, Econometrica, 66, 1127- 1162.
Feng and Seasholes, 2006, Individual investors and gender similarities in an emerging stock market, working paper, U.C. Berkeley.
Fenton-O’Creevy, M., Nicholson, N., Soane, E., & Willman, P., 2005, Traders. risks, decisions, and management in financial markets. Oxford: Oxford University Press.
Fernandez, Rosa M., Scott Taylor, and Emma Bell, 2005, How long until we get there? A survival analysis of the Investors in People initiative 1991-2001, working paper, Center of Knowledge and Organisational Performance, University of Oxford.
Frazzini, Andrea, and Owen A. Lamont 2005, “Dumb money: mutual fund flows and the cross-section of stock returns,” NBER Working Paper 11526
Friedman, M., 1953. The Case for Flexible Exchange Rates. Esseys in positive economics. University of Chicago Press.

Froot, K. A., Scharfstein, D. S., and Stein, J. C., 1992. Herd on the street: Informational inefficiencies in a market with short-term speculation, Journal of Finance 47, 1461-1484.
Garvey, Ryan, and Anthony Murphy, 2005, Entry, exit and trading profits: a look at the trading strategies of a proprietary trading term, Journal of Empirical Finance, 12, 629-649.
Gehan, E. A., 1969, Estimating survival functions from the life table. Journal of Chronic Diseases, 13, 629-644.
Giot, Pierre and Armin Schwienbacher, 2003. IPOs, trade sales and liquidations: modeling venture capital exits using survival analysis, Finance 0312006, EconWPA.
Glennon, Dennis, and Peter Nigro, 2005, Measuring the default risk of small business loans: a survival analysis approach, Journal of Money, Credit, and Banking, 37, 923-947.
Goetzmann, William and Alok Kumar, 2002, Equity portfolio diversification, Working Paper, Yale University.
Goetzmann, William N., and Massimo Massa, 2003, Disposition matters: Volume, volatility and price impact of a behavioral bias, Working paper, Yale International Center for Finance.
Griffin, J. M., Harris, J., Topaloglu, S., 2002a. The dynamics of institutional and individual trading, Journal of Finance, 58, 2285-2320.
Griffin, J. M., Harris, J., Topaloglu, S., 2002b. Who drove the Nasdaq bubble? Unpublished working paper.
Grinblatt, Mark and Matti Keloharju, 2000, The investment behavior and performance of various investor types: A study of Finland’s unique data set, Journal of Financial Economics 55, 43-67.
Grinblatt, Mark and Matti Keloharju (2001), How distance, language and culture influence stockholdings and trades, Journal of Finance, 56, 1053-1073.
Grinblatt, M., Titman, S., Wermers R., 1995. Momentum investment strategies, portfolio performance, and herding: A study of mutual fund behavior. American Economic Review 85, 1088-1105.
Jin, Li, and Anna Scherbina, 2005, Change is good or the disposition effect among mutual fund managers, Working paper, Harvard University.
Jones, Charles M. and Marc. Lipson, 2004, Are retail orders different?. Working paper, Columbia University.
Hamilton, C. Horace, and F. M. Henderson, 1944, Use of the survival rate method in measuring net migration, Journal of the American Statistical Association, 39, 197-206.
Hirshleifer, D., Subrahmanyam, A., Titman, S., 1994. Security analysis and trading patterns when some investors receive information before others. Journal of Finance 49, 1655-1698.
Hong, H., Stein, J., 1999. A unified theory of underreaction, momentum trading and overreaction in asset markets. Journal of Finance 54, 2143-2184.
Kahneman, Daniel, and Dan Lovallo, 1993, Timid choices and bold forecasts: A cognitive perspective on risk taking, Marketing Science 39, 17–31.
Kaniel, Ron, Saar, Gideon and Titman, Sheridan, 2006, Individual investor trading and stock returns, working paper.
Kaplan, E. L., and Paul Meier, 1958, Nonparametric Estimation from Incomplete Observations, Journal of the American Statistical Association, 53, 457-481.
Kauffman, Robert, and Bin Wang, 2002, The success and failure of DotComs: a multi-method survival analysis, working paper, Carlson School of Management, University of Minnesota.
Kennedy, Peter, 1998, A Guide to Econometrics, 4th edition, Blackwell.
Keynes, J. Maynard, 1936, The General Theory of Employment, Interest and Money, Chapter 12, Section 2, pp. 99-103.
Kim, W., Wei, S.-J., 1999. Foreign portfolio investors before and during a crisis. Unpublished working paper.
Kroll, Yoram, and Haim Levy, 1992, Further tests of the separation theorem and the capital asset pricing model, American Economic Review 82, 664–670.
Kroll, Yoram, Haim Levy, and Amnon Rapoport, 1988a, Experimental tests of the mean-variance model for portfolio selection, Organizational Behavior and Human Decision Processes 42, 388–410.
Kroll, Yoram, Haim Levy, and Amnon Rapoport ,1988b, Experimental tests of the separation theorem and the capital asset pricing model, American Economic Review 78, 500–519.
Kumar, Alok, and Sonya Seongyeon Lim, 2004, One trade at a time: Narrow framing and stock investment decisions of individual investors, Working Paper, Mendoza College of Business, University of Notre Dame, August 2004.
Laird, Nan, and Donald Olivier, 1981, Covariance analysis of censored survival data using log-linear analysis techniques, Journal of the American Statistical Association, 76, 231-240.
Lakonishok, J., Shleifer A., Vishny R. W., 1992. The impact of institutional trading on stock prices. Journal of Financial Economics 32, 23-43.
Lease, Ronald C., Wilbur G. Lewellen, and Gary G. Schlarbaum, 1974, The Individual Investor: Attributes and Attitudes, Journal of Finance, 29, 413-433.
Lee, Elisa T. and Wang, John Wenyu, Statistical Methods for Survival Data Analysis, Wiley Series in Probability and Statistics. 3rd Edition, 2003., 14, 29-57.
Lee, Y.T., Lin, J.C., Liu, Y.J., 1999. Trading patterns of big vs. small players in an emerging market: An empirical analysis. Journal of Banking and Finance 23, 701-725.
Lewellen, Wilbur G., Ronald C. Lease and Gary G. Schlarbaum, 1979, Investment Performance and Investor Behavior, Journal of Financial and Quantitative Analysis, 14, 29-57.
Lintner, J., 1965, The valuation of risk assets and the selection of risky investments in stock portfolios and capital budgets, Review of Economics and Statistics, 47, 13-37.
Malerba, Franco, and Orsenigo, Luigi, 1999, Technological entry, exit and survival: an empirical analysis of patent data, Research Policy, 28, 643-660.
Mata, Jose, and Pedro Portugal, 1994, Life duration of new firms, Journal of Industrial Economics, 42, 227-245.
Mata, J., P. Portugal and P. Guimarães, 1995, The survival of new plants: entry conditions and post-entry evolution, International Journal of Industrial Organization, 13, 459-482.
McInish, T.H. (1980). A Game-Simulation of Stock Market Behavior: An extension. Simulations and Games 11: 477-484.
McInish, T.H. (1982). Individual Investors and Risk-Taking, Journal of Economic Psychology 2, 125-136.
Morris, Stephen, 1996, Speculative Investor Behavior and Learning, Quarterly Journal of Economics, 111, 1111-1133.
Nofsinger, J. R., Sias, R. W., 1999. Herding and feedback trading by institutional and individual investors. Journal of Finance 54, 2263-2295.
Norstad, John, 2005, More portfolio survival studies, working paper. Northwestern University.
Oakes, David, 2000, Survival analysis, Journal of the American Statistical Association, 95, 282-285.
O’Creevy, Fenton, Nicholson, Soane and Willman, 2003, Trading on illusions; unrealistic perceptions of control and trading performance", Journal of Occupational and Organisational Psychology, 76, 2003, 53-68.
Odean, Terance, 1998, Are Investors Reluctant to Realize Their Losses?, Journal of Finance, LIII, 1775-1798.
Odean, Terance, 1999, Do Investors Trade Too Much?, American Economic Review, 89, 1279-1298.
Platt, Harlan D., and Marjorie B. Platt, 2002, Predicting corporate financial distress: reflections on choice-based sample bias, Journal of Economics and Finance, 26, 184-199.
Ranguelova, Elena, 2001, Disposition Effect and Firm Size: New Evidence on Individual Investor Trading Activity, Working Paper, Harvard University.
Russel, J, Fuller, 1998, Behavioral finance and the sources of Alpha, Journal of Pension Plan Investing, 2.
Scharfstein, D. S., Stein, J. C., 1990. Herd behavior and investment. American Economic Review 80, 465-479.
Schlarbaum, Gary G., Wilbur G. Lewellen, and Ronald C. Lease, 1978a, The common-stock-portfolio performance record of individual investors: 1964-70, Journal of Finance, XXXIII, 429-441.
Schlarbaum, Gary G., Wilbur G. Lewellen, and Ronald C. Lease, 1978b, Realized Returns on Common Stock Investments: The Experience of Individual Investors, Journal of Business, 51, 299-325.
Shapira, Zur and Itzhak Venezia, 2000, Patterns of Behavior of Professionally Managed and Independent Investors, Journal of Banking and Finance, July, 1-15.
Sharpe, William F., 1964, Capital asset prices: a theory of market equilibrium under conditions of risk, Journal of Finance, 19, 425-442.
Shefrin, Hersh M., and Meir Statman, 1985, The disposition to sell winners too early and ride losers too long, Journal of Finance 40, 777-790.
Shefrin, Hersh M., and Meir Statman, 2000, Behavioral portfolio theory, Journal of Financial and Quantitative Analysis 35, 127-151.
Shiller, R., 1984. Stock prices and social dynamics. Brookings Papers on Economic Activity 2, 457-498.
Shiller, Robert J., 2000, Market volatility and investor behavior, Stock Market Volatility,Vol. 80, No.2.
Shumway, Tyler, and Guojun Wu, 2005, Does disposition drive momentum?, Working paper, University of Michigan Business School.
Sias, R. W., 2002. Institutional herding. Washington state university working paper.
Sias, Richard, Laura T. Starks and Sheridan Titman, 2004, Changes in institutional ownership and stock returns: Assessment and methodology. Journal of Business.
Snyder, M., 1987. Public Appearances/Private Realities: The Psychology of Self-Monitoring. San Francisco, CA: Freeman
Tarter, Michael E., 1979, Trigonometric maximum likelihood estimation and application to the analysis of incomplete survival information, Journal of the American Statistical Association, 74, 132-139.
Tobin, James, 1958, Liquidity preference as behavior towards risk, Review of Economic Studies, 25, 65-86.
Treynor, Jack, 1961, Towards a theory of market value of risky assets, unpublished manuscript.
Troske, K., 1989, The life-cycle behavior of establishments, mimeo, University of Chicago.
Tsay, Wen-Jen and Cyrus Chou, 2005, The pattern of birth spacing during Taiwan’s demographic transition, Journal of Population Economics, 18, 323-336.
Tversky, Amos, and Daniel Kahneman, 1973, Availability: A heuristic for judging frequency and probability, Cognitive Psychology 4, 207–232.
Vives, X., 1997. Learning from others: A welfare analysis. Games and Economic Behavior 20, 177-200.
Wermers, R., 1999. Mutual fund herding and the impact on stock prices. Journal of Finance 54, 581-622.
Wheelock, David C., and Paul W. Wilson, 2000, Why do banks disappear? The determinants of US bank failures and acquisitions, Review of Economics and Statistics, 82, 127-138.
 
 
 
 
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