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    政大機構典藏 > 商學院 > 金融學系 > 學位論文 >  Item 140.119/135935
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/135935


    Title: 硬投資人情緒對壽險保單解約行為的影響
    The Impacts of Hard Investor Sentiment on Life-Insurance Policy Surrenders
    Authors: 黃立新
    Huang, Li-Xin
    Contributors: 江彌修
    Chiang, Mi-Hsiu
    黃立新
    Huang, Li-Xin
    Keywords: 投資人情緒
    主動及被動解約率
    理性保單解約
    非理性保單解約
    Investor sentiment
    Surrender/Lapse rate
    Rational policy surrender
    Irrational policy surrender
    Date: 2021
    Issue Date: 2021-07-01 17:45:23 (UTC+8)
    Abstract: 藉由最被廣泛使用的 BW 情緒指數 (Baker and Wurger, 2006) 及其校準版本的PLS 情緒指數 (Huang et al., 2015),本文首次在實證上提供投資人情緒影響壽險解約行為的證據。本文發現,解約行為與 BW 指數負向顯著相關而與 PLS 指數存在正向顯著關係。BW 指數蘊含更多經濟週期相關的資訊而 PLS 指數更體現投資人需求/行為。情緒指數的不同意涵導致其對解約行為截然相反的影響。藉由對總解約率進行主動解約及被動失效的拆分,本文發現高、低階段的投資人情緒指數對主動解約決策的影響一致,而對被動失效解約決策的影響不一致。主動解約受 BW 指數負向顯著影響而不受 PLS 指數影響;被動失效解約率則受 BW指數及其低階段指數負向影響,受 PLS 指數及其高階段指數正向影響。透過投資人情緒指數,本文進一步揭示保戶解約行為之需求。主動解約人群的解約行為不受對股票需求(PLS 指數)的影響,體現主動解約人群基於緊急資金需求與新保單替代的需求而選擇解約。相較於主動解約的動機,被動解約人群在高 PLS 指數階段對股票的需求增加,表明其額外的對投機的需求。
    Based on the widely-used Baker and Wurgler (2006, BW hereafter) sentiment index and its aligned version of PLS sentiment index (Huang et al., 2015), this paper provides
    the first empirical evidence that investor sentiment affects life-insurance policy surrenders. This research finds that policy surrenders and lapses are negatively related to BW index and have a positive relationship with PLS index. BW index contains more business-cycle-related information content while PLS index reveals more investor
    demand or investor behavior. The different central components of sentiment indexes lead to opposite effects on lapsations. By decomposing the total termination rate into
    voluntary surrender and non-voluntary lapse rates, this study confirms that sentiment indexes with different stages affect surrenders in the same way while lapses display
    conditional patterns in low- and high-sentiment periods. Surrender is negatively affected by the BW index but not the PLS index. Lapse receives the negative effects of low BW index and the positive impacts of high PLS index. Along with sentiment indexes, this paper further disentangles the driven factors of lapsation. A policy holders’ voluntary surrender is motivated by the demand for emergency funds and new attractive policy rather than the investor demand (PLS index). Beyond the surrenders’ motivations, lapses show an increased demand for stock in the high PLS sentiment periods, indicating an additional desire for speculation.
    Reference: 江彌修*;黃立新;林冠勳, 2021, “影響壽險解約行為因素之實證分析,” 交大管理與系統. (本論著未刊登但已被接受)
    Amihud, Y., & Mendelson, H. (1986). Asset pricing and the bid-ask spread. Journal of Financial Economics, 17(2), 223-249.
    Antoniou, C., Doukas, J. A., & Subrahmanyam, A. (2016). Investor sentiment, beta, and the cost of equity capital. Management Science, 62(2), 347-367.
    Antweiler, W., & Frank, M. Z. (2004). Is all that talk just noise? The information content of internet stock message boards. The Journal of Finance, 59(3), 1259-1294.
    Baele, L., Bekaert, G., & Inghelbrecht, K. (2010). The determinants of stock and bond return comovements. The Review of Financial Studies, 23(6), 2374-2428.
    Baker, M., & Stein, J. C. (2004). Market liquidity as a sentiment indicator. Journal of Financial Markets, 7(3), 271-299.
    Baker, M., & Wurgler, J. (2000). The equity share in new issues and aggregate stock returns. The Journal of Finance, 55(5), 2219-2257.
    ——. (2004a). A catering theory of dividends. The Journal of Finance, 59(3), 1125-1165.
    ——. (2004b). Appearing and disappearing dividends: The link to catering incentives. Journal of financial economics, 73(2), 271-288.
    ——. (2006). Investor sentiment and the cross‐section of stock returns. The Journal of Finance, 61(4), 1645-1680.
    ——. (2007). Investor sentiment in the stock market. Journal of Economic Perspectives, 21(2), 129-152.
    ——. (2012). Comovement and predictability relationships between bonds and the cross-section of stocks. The Review of Asset Pricing Studies, 2(1), 57-87.
    Barberis, N., Shleifer, A., & Vishny, R. (1998). A model of investor sentiment. Journal of Financial Economics, 49(3), 307-343.
    Ben-Rephael, A., Da, Z., & Israelsen, R. D. (2017). It depends on where you search: Institutional investor attention and underreaction to news. The Review of Financial Studies, 30(9), 3009-3047.
    Brennan, M. J., & Subrahmanyam, A. (1996). Market microstructure and asset pricing: On the compensation for illiquidity in stock returns. Journal of Financial Economics, 41(3), 441-464.
    Brennan, M. J., Chordia, T., & Subrahmanyam, A. (1998). Alternative factor specifications, security characteristics, and the cross-section of expected stock returns. Journal of Financial Economics, 49(3), 345-373.
    Browne, M. J., Carson, J. M., & Hoyt, R. E. (1999). Economic and market predictors of insolvencies in the life-health insurance industry. Journal of Risk and Insurance, 643-659.
    Brown, G.W., Cliff, M.T., 2004. Investor sentiment and the near-term stock market. Journal of Empirical Finance, 11(1), 1–27.
    ——. (2005). Investor sentiment and asset valuation. The Journal of Business, 78(2), 405-440.
    Bukovina, J. (2016). Social media big data and capital markets—An overview. Journal of Behavioral and Experimental Finance, 11, 18-26.
    Carson, J. M., Ellis, C. M., Hoyt, R. E., & Ostaszewski, K. (2020). Sunk costs and screening: Two‐part tariffs in life insurance. Journal of Risk and Insurance, 87(3), 689–718.
    Chen, T., Goh, J. R., Kamiya, S., & Lou, P. (2019). Marginal cost of risk-based capital and risk-taking. Journal of Banking & Finance, 103, 130-145.
    Chen, X., Huang, J. Z., Sun, Z., Yao, T., & Yu, T. (2020). Liquidity premium in the eye of the beholder: An analysis of the clientele effect in the corporate bond market. Management Science, 66(2), 932-957.
    Chen, N. F., Kan, R., & Miller, M. H. (1993). Are the discounts on closed-end funds a sentiment index?. The Journal of Finance, 48(2), 795-800.
    Cole, C. R., & Fier, S. G. (2020). An empirical analysis of insurer participation in the US cyber insurance market. North American Actuarial Journal, 1-23.
    Cummins, J. D. (1973). An econometric model of the life insurance sector of the US economy. Journal of Risk and Insurance, 533-554.
    Cutler DM, Poterba JM, & Summers LH. (1989). What moves stock prices?. The Journal of Portfolio Management, 15(3):4-12.
    Dar, A., & Dodds, C. (1989). Interest rates, the emergency fund hypothesis and saving through endowment policies: some empirical evidence for the UK. Journal of Risk and Insurance, 415-433.
    Da, Z., Engelberg, J., & Gao, P. (2011). In search of attention. The Journal of Finance, 66(5), 1461-1499.
    ——. (2015). The sum of all FEARS investor sentiment and asset prices. The Review of Financial Studies, 28(1), 1-32.
    Daniel, K., Hirshleifer, D., & Subrahmanyam, A. (1998). Investor overconfidence, covariance risk, and predictors of securities returns. Journal of Finance, 53, 1839-1886.
    De Long, J. B., Shleifer, A., Summers, L. H., & Waldmann, R. J. (1990). Noise trader risk in financial markets. Journal of Political Economy, 98(4), 703-738.
    Eling, M., & Kiesenbauer, D. (2014). What policy features determine life insurance lapse? An analysis of the German market. Journal of Risk and Insurance, 81(2), 241-269.
    Elton, E. J., Gruber, M. J., & Busse, J. A. (1998). Do investors care about sentiment?. The Journal of Business, 71(4), 477-500.
    Engelberg, J. E., & Parsons, C. A. (2011). The causal impact of media in financial markets. The Journal of Finance, 66(1), 67-97.
    Fang, H., & Kung, E. (2020). Why do life insurance policyholders lapse? The roles of income, health, and bequest motive shocks. Journal of Risk and Insurance, 1–34.
    Fang, L., & Peress, J. (2009). Media coverage and the cross‐section of stock returns. The Journal of Finance, 64(5), 2023-2052.
    Fier, S. G., & Liebenberg, A. P. (2013). Life insurance lapse behavior. North American Actuarial Journal, 17(2), 153–167.
    Fong, W. M., & Toh, B. (2014). Investor sentiment and the MAX effect. Journal of Banking & Finance, 46, 190-201.
    Garcia, D. (2013). Sentiment during recessions. The Journal of Finance, 68(3), 1267-1300.
    Gilchrist, S., & Zakrajšek, E. (2012). Credit spreads and business cycle fluctuations. American Economic Review, 102(4), 1692-1720.
    Greenwood, R., Hanson, S. G. (2013). Issuer quality and corporate bond returns. Review of Financial Studies, 26, 1483–1525.
    Gottlieb, D., & Smetters, K. (2019). Lapse-based insurance. Working Paper.
    Guo, X., Lin, H., Wu, C., & Zhou, G. (2019). Investor Sentiment and the Cross-Section of Corporate Bond Returns. Available at SSRN 3223846.
    Hendel, I., & Lizzeri, A. (2003). The role of commitment in dynamic contracts: Evidence from life insurance. The Quarterly Journal of Economics, 118(1), 299-328.
    Huang, D., Jiang, F., Tu, J., & Zhou, G. (2015). Investor sentiment aligned: A powerful predictor of stock returns. The Review of Financial Studies, 28(3), 791-837.
    Irresberger, F., König, F. E., & Weiß, G. N. (2017). Crisis sentiment in the US insurance sector. Journal of Risk and Insurance, 84(4), 1295-1330.
    Jiang, S. J. (2010). Voluntary termination of life insurance policies: Evidence from the US market. North American Actuarial Journal, 14(4), 369-380.
    Johnson, E. J., & Tversky, A. (1983). Affect, generalization, and the perception of risk. Journal of Personality and Social Psychology, 45(1), 20.
    Kaniel, R., Saar, G., & Titman, S. (2008). Individual investor trading and stock returns. The Journal of Finance, 63(1), 273-310.
    Kelly, B., & Pruitt, S. (2013). Market expectations in the cross‐section of present values. The Journal of Finance, 68(5), 1721-1756.
    ——. (2015). The three-pass regression filter: A new approach to forecasting using many predictors. Journal of Econometrics, 186(2), 294-316.
    Keynes J. 1936. The General Theory of Employment, Interest and Money. London: Macmillan.
    Kiesenbauer, D. (2012). Main determinants of lapse in the German life insurance industry. North American Actuarial Journal, 16(1), 52–73.
    Kim, S. H., & Kim, D. (2014). Investor sentiment from internet message postings and the predictability of stock returns. Journal of Economic Behavior & Organization, 107, 708-729.
    Kuo, W., Tsai, C., & Chen, W. K. (2003). An empirical study on the lapse rate: The cointegration approach. Journal of Risk and Insurance, 70(3), 489-508.
    Lee, C. M., Shleifer, A., & Thaler, R. H. (1991). Investor sentiment and the closed‐end fund puzzle. The Journal of Finance, 46(1), 75-109.
    Lemmon, M., & Portniaguina, E. (2006). Consumer confidence and asset prices: Some empirical evidence. The Review of Financial Studies, 19(4), 1499-1529.
    Lerner, J. S., & Keltner, D. (2000). Beyond valence: Toward a model of emotion-specific influences on judgement and choice. Cognition & Emotion, 14(4), 473-493.
    ——. (2001). Fear, anger, and risk. Journal of Personality and Social Psychology, 81(1), 146.
    Li, F. (2008). Annual report readability, current earnings, and earnings persistence. Journal of Accounting and Economics, 45(2-3), 221-247.
    Liberti, J. M., & Petersen, M. A. (2019). Information: Hard and soft. Review of Corporate Finance Studies, 8(1), 1-41.
    Liebenberg, A. P., Carson, J. M., & Dumm, R. E. (2012). A dynamic analysis of the demand for life insurance. Journal of Risk and Insurance, 79(3), 619–644.
    Liebenberg, A. P., Carson, J. M., & Hoyt, R. E. (2010). The demand for life insurance policy loans. Journal of Risk and Insurance, 77(3), 651-666.
    Lin, H., Wu, C., & Zhou, G. (2018). Forecasting corporate bond returns with a large set of predictors: An iterated combination approach. Management Science, 64(9), 4218-4238.
    López-Salido, D., Stein, J. C., & Zakrajšek, E. (2017). Credit-market sentiment and the business cycle. The Quarterly Journal of Economics, 132(3), 1373-1426.
    Loughran, T., & McDonald, B. (2011). When is a liability not a liability? Textual analysis, dictionaries, and 10-Ks. The Journal of Finance, 66(1), 35–65.
    Malkiel, B. G., & Fama, E. F. (1970). Efficient capital markets: A review of theory and empirical work. The Journal of Finance, 25(2), 383-417.
    McLean, R. D., & Zhao, M. (2014). The business cycle, investor sentiment, and costly external finance. The Journal of Finance, 69(3), 1377-1409.
    Neal, R., & Wheatley, S. M. (1998). Do measures of investor sentiment predict returns?. Journal of Financial and Quantitative Analysis, 523-547.
    Nolte, S., & Schneider, J. C. (2017). Don’t lapse into temptation: A behavioral explanation for policy surrender. Journal of Banking & Finance, 79, 12-27.
    Outreville, J. F. (1990). Whole‐life insurance lapse rates and the emergency fund hypothesis. Insurance: Mathematics and Economics, 9, 249–255.
    Pástor, Ľ., & Stambaugh, R. F. (2003). Liquidity risk and expected stock returns. Journal of Political Economy, 111(3), 642-685.
    Pástor, Ľ., Stambaugh, R. F., & Taylor, L. A. (2017). Do funds make more when they trade more?. The Journal of Finance, 72(4), 1483-1528.
    Pástor, L., & Veronesi, P. (2003). Stock Valuation and Learning about Profitability. The Journal of Finance, 1749-1789.
    ——. (2005). Rational IPO waves. The Journal of Finance, 60(4), 1713-1757.
    ——. (2006). Was there a Nasdaq bubble in the late 1990s?. Journal of Financial Economics, 81(1), 61-100.
    Pesando, J. E. (1974). The interest sensitivity of the flow of funds through life insurance companies: An econometric analysis. The Journal of Finance, 29(4), 1105-1121.
    Pontiff, J. (1996). Costly arbitrage: Evidence from closed-end funds. The Quarterly Journal of Economics, 111(4), 1135-1151.
    Qiu, L. X., & Welch, I. (2004). Investor Sentiment Measures. NBER Working Paper, (w10794).
    Renault, T. (2017). Intraday online investor sentiment and return patterns in the US stock market. Journal of Banking & Finance, 84, 25-40.
    Ritter, J. R. (1991). The long‐run performance of initial public offerings. The Journal of Finance, 46(1), 3-27.
    Russell, D. T., Fier, S. G., Carson, J. M., & Dumm, R. E. (2013). An empirical analysis of life insurance policy surrender activity. Journal of Insurance Issues, 36(1), 35–57.
    Schott, F. H. (1971). Disintermediation through policy loans at life insurance companies. The Journal of Finance, 26(3), 719-729.
    Schultz, P. (2001). Corporate bond trading costs: A peek behind the curtain. The Journal of Finance, 56(2), 677-698.
    Sibley, S. E., Wang, Y., Xing, Y., & Zhang, X. (2016). The information content of the sentiment index. Journal of Banking & Finance, 62, 164-179.
    Shleifer, A., 2000. Inefficient Markets. An Introduction to Behavioral Finance. Oxford University Press, Oxford and New York.
    Shleifer, A., & Vishny, R. W. (1997). The limits of arbitrage. The Journal of Finance, 52(1), 35-55.
    Siganos, A., Vagenas-Nanos, E., & Verwijmeren, P. (2014). Facebook`s daily sentiment and international stock markets. Journal of Economic Behavior & Organization, 107, 730-743.
    ——. (2017). Divergence of sentiment and stock market trading. Journal of Banking & Finance, 78, 130-141.
    Soo, C. K. (2018). Quantifying sentiment with news media across local housing markets. The Review of Financial Studies, 31(10), 3689-3719.
    Stigler, G. J. (1964). Public regulation of the securities markets. The Journal of Business, 37(2), 117-142.
    Stambaugh, R. F., Yu, J., & Yuan, Y. (2012). The short of it: Investor sentiment and anomalies. Journal of Financial Economics, 104(2), 288-302.
    ——. (2014). The long of it: Odds that investor sentiment spuriously predicts anomaly returns. Journal of Financial Economics, 114(3), 613-619.
    Swaminathan, B. (1996). Time-varying expected small firm returns and closed-end fund discounts. The Review of Financial Studies, 9(3), 845-887.
    Tetlock, P. C. (2007). Giving content to investor sentiment: The role of media in the stock market. The Journal of Finance, 62(3), 1139-1168.
    Tetlock, P. C., Saar‐Tsechansky, M., & Macskassy, S. (2008). More than words: Quantifying language to measure firms` fundamentals. The Journal of Finance, 63(3), 1437-1467.
    Tversky, A., Kahnemann, D. (1974). Judgment under uncertainty: heuristics and biases. Science, 185, 1124–1131.
    Wold, H. (1966). Estimation of principal components and related models by iterative least squares. Multivariate analysis, 391-420.
    ——. (1975). Path models with latent variables: The NIPALS approach. In Quantitative sociology (pp. 307-357). Academic Press.
    Yu, J., & Yuan, Y. (2011). Investor sentiment and the mean–variance relation. Journal of Financial Economics, 100(2), 367-381.
    Zhou, G. (2018). Measuring investor sentiment. Annual Review of Financial Economics, 10, 239-259.
    Zweig, M. E. (1973). An investor expectations stock price predictive model using closed-end fund premiums. The Journal of Finance, 28(1), 67-78.
    Description: 博士
    國立政治大學
    金融學系
    104352508
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0104352508
    Data Type: thesis
    DOI: 10.6814/NCCU202100480
    Appears in Collections:[金融學系] 學位論文

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