Summary:
In China, the low participation of households in the financial market and the concentrated asset allocation hinder social development. Understanding individual investors' investment decisions is of crucial importance in behavioral and household finance, but due to data limitations, the literature examining individual investors' investment decisions at the personal level is scarce. With the arrival of the big data era, with increased access to big data, and recent technological progress, enriched micro-level data is providing a new opportunity to expand research on individual investors. Therefore, we combine both marketing and financial theories and study the impact of leisure consumption on fund investment. Our study applies mood theory in this context and enriches the toolbox of policymakers. Specifically, this paper reveals the impact of leisure consumption on individual investment decisions. According to the psychological theories of “mood congruence” and “mood retention,” a positive mood affects individuals' expectations of investment returns and risks and thus influences their investment decisions. Based on the theory that “hedonic” consumption affects individual feelings, this paper proposes that the happy mood induced in investors immediately after leisure consumption leads to them having optimistic expectations of investment returns and encourages them to increase their investments in mutual funds. Our empirical exercise involves a large set of panel data on individuals who bank with one large bank in Asia, and includes detailed records of their consumption in a department store and their fund investments. We examine the impact and mechanisms of leisure consumption on the households' mutual fund investments using this data set. Specifically, we find that the current-week leisure consumption increases the likelihood of next-week fund investment by more than 50% and raises the amount invested by more than 30%. Further analyses reveal that the investment increase primarily involves low-risk assets such as bonds. Heterogeneous effects on gender and wealth levels are also explored. Based on our findings, we propose the following four policy recommendations. First, integrating consumption with financial scenarios is a new direction for digital financial development. Financial institutions can enhance the effectiveness of their customer acquisitions and provide personalized services by promoting data sharing and collaborative engagement with individual investors. Second, promoting leisure consumption can serve as a policy tool to increase capital market liquidity. By encouraging leisure activity consumption and altering the emotional state of individual investors, an increase in investment behavior can be stimulated. In turn, this provides greater liquidity to the market and reduces systemic risks. However, it should be noted that leisure consumption-induced investments are not superior to general investments, as they only increase investment willingness without improving investment returns. Third, enhancing policies designed to upgrade consumption can contribute to targeted governance. By improving these policies and establishing scenario-based finance, the spillover effects of consumption in financial scenarios on residents' investments can be explored. Fourth, to avoid investment losses, it is crucial to enhance households' awareness of investment risks, especially in the case of small and medium-sized investors with low financial literacy and limited personal wealth. Regulators should protect and educate investors through improving the understanding of their investment logic. The contributions of this paper are as follows. First, as a new exploration of the integration of consumption with financial scenarios, this paper demonstrates the potential improvement in households' participation in the financial market through this integration. Moreover, we find that engaging in appropriate leisure consumption can lead to an increase in residents' investment in funds. This novel finding expands the understanding of individual investors' behavior and offers valuable insights to the government to enhance residents' participation in the financial market and optimize asset allocation. Second, this paper uncovers the underlying reasons for the aforementioned behavioral pattern: the positive impact of leisure consumption on individual investors' emotions and their optimistic outlook on investment returns. This discovery is in line with the theory of affective congruence and provides empirical support for the influence of emotions on investment within the field of behavioral finance research. Third, we find that the investment growth resulting from leisure consumption predominantly focuses on low-risk funds, validating the significance of the risk level as a boundary condition that regulates the influence of emotions on investment behavior.
许泳昊, 刘玉珍, 厉行. 休闲消费与居民资产配置——基于情绪理论的分析[J]. 金融研究, 2023, 519(9): 168-187.
XU Yonghao, LIU Yu-jane, LI Xing. Leisure Consumption and Household Asset Allocation: An Analysis Based on Mood Theory. Journal of Financial Research, 2023, 519(9): 168-187.
[1]高明和刘玉珍,2013,《跨国家庭金融比较:理论与政策意涵》,《经济研究》第2期,第134~149页。 [2]刘国强,2018,《我国消费者金融素养现状研究——基于 2017 年消费者金融素养问卷调查》,《金融研究》第3期,第1~20页。 [3]刘潇、程志强和张琼,2014,《居民健康与金融投资偏好》,《经济研究》第1期,第77~88页。 [4]路晓蒙、李阳、甘犁和王香,2017,《中国家庭金融投资组合的风险——过于保守还是过于冒进?》,《管理世界》第12期,第92~108页。 [5]孟亦佳,2014,《认知能力与家庭资产选择》,《经济研究》第1期,第132~142页。 [6]山立威,2011,《心理还是实质: 汶川地震对中国资本市场的影响》,《经济研究》第4期,第121~134+146页。 [7]吴雨、李晓 、李洁和周利,2021,《数字金融发展与家庭金融资产组合有效性》,《管理世界》第7期,第92~104+7页。 [8]徐佳和谭娅,2016,《中国家庭金融资产配置及动态调整》,《金融研究》第12期,第95~110页。 [9]尹志超、岳鹏鹏和陈悉榕,2019,《金融市场参与、风险异质性与家庭幸福》,《金融研究》第4期,第168~187页。 [10]Barber, B. M, Lee Y T, Liu Y J, et al., 2009, “Just how much do individual investors lose by trading?”, The Review of Financial Studies, 22(2): 609~632. [11]Barber, B. M, Odean T, 2001, “Boys will be boys: Gender, overconfidence, and common stock investment”, The Quarterly Journal of Economics, 116(1): 261~292. [12]Becker, G.S., 1991. “A note on restaurant pricing and other examples of social influences on price”, Journal of Political Economy, 99(5):1109~1116. [13]Behrman, J. R, Mitchell O S, Soo C K, et al., 2012, “How financial literacy affects household wealth accumulation”, American Economic Review, 102(3): 300~304. [14]Beyer, S, Bowden E M., 1997, “Gender differences in self-perceptions: Convergent evidence from three measures of accuracy and bias”, Personality and Social Psychology Bulletin, 23(2): 157~172. [15]Calvet, L. E., Campbell, J. Y., and Sodini, P., 2007, “Down or out: Assessing the welfare costs of household investment mistakes”, Journal of Political Economy, 115(5):707~747. [16]Campbell, J Y. Household finance, The Journal of Finance, 2006, 61(4): 1553~1604. [17]Cherry, T. L., & List, J. A., 2002, “Aggregation bias in the economic model of crime”, Economics Letters, 75(1): 81~86. [18]Cicchetti, Charles J., and Jeffrey A. Dubin, 1994, “A microeconometric analysis of risk aversion and the decision to self-insure.” Journal of Political Economy, 102.1, 169~186. [19]Cocco, Joao F., Francisco J. Gomes, and Pascal J. Maenhout, 2005, “Consumption and portfolio choice over the life cycle.” The Review of Financial Studies, 18(2): 491~533. [20]Croson, R, Gneezy U, 2009, “Gender differences in preferences”, Journal of Economic literature, 47(2): 448~74. [21]DeLeire T, Kalil A, 2010, “Does consumption buy happiness? Evidence from the United States”, International Review of Economics, 57(2): 163~176. [22]Dhar, Ravi, and Ning Zhu, 2006. “Up close and personal: Investor sophistication and the disposition effect”,Management Science, 52.(5): 726~740. [23]Dichev I, D, Janes T D, 2003, “Lunar cycle effects in stock returns”, The Journal of Private Equity, 6(4): 8~29. [24]Eckel ,C C, Grossman P J, 2008, “Men, women and risk aversion: Experimental evidence”, Handbook of Experimental Economics Results, 2008, 1, 1061~1073. [25]Fang, L, Peress J., 2009, “Media coverage and the cross‐section of stock returns”, The Journal of Finance, 64(5): 2023~2052. [26]Frydman, C, Wang B, 2020, “The impact of salience on investor behavior: Evidence from a natural experiment”, The Journal of Finance, 75(1): 229~276. [27]Guiso, Luigi, and Monica Paiella, 2008, “Risk aversion, wealth, and background risk”, Journal of the European Economic Association, 6(6): 1109~1150. [28]Guven, C, 2009, “Weather and financial risk-taking: is happiness the channel?”, Working Paper. [29]Headey, B, Muffels R, Wooden M, 2008, “Money does not buy happiness: Or does it? A reassessment based on the combined effects of wealth, income and consumption”, Social Indicators Research, 87(1): 65~82. [30]Hirschman, E. C, Holbrook M B, 1982, “Hedonic consumption: emerging concepts, methods and propositions”, Journal of Marketing, 46(3): 92~101. [31]Hirshleifer, D, Shumway T,2003, “Good day sunshine: Stock returns and the weather”, The Journal of Finance, 58(3): 1009~1032. [32]Holbrook, M. B, Hirschman E C, 1982, “The experiential aspects of consumption: Consumer fantasies, feelings, and fun”, Journal of Consumer Research, 9(2): 132~140. [33]Hong, Harrison, Jeffrey D. Kubik, and Jeremy C. Stein., 2004, “Social interaction and stock‐market participation”, The Journal of Finance, 59(1): 137~163. [34]Isen, A. M, Geva N,1987, “The influence of positive affect on acceptable level of risk: The person with a large canoe has a large worry”, Organizational Behavior and Human Decision Processes, 39(2): 145~154. [35]Isen, A. M, Patrick R, 1983, “The effect of positive feelings on risk taking: When the chips are down”, Organizational Behavior and Human Performance, 31(2): 194~202. [36]Isen, A. M, Shalker T E, Clark M, et al, 1978, “Affect, accessibility of material in memory, and behavior: A cognitive loop?”, Journal of Personality and Social Psychology, 36(1): 1. [37]Isen, A. M., Means, B., Patrick, R., & Nowicki, G, 1982, “Some factors influencing decision making strategy and risk-taking”, Affect and cognition: The 17th annual Carnegie Mellon symposium on cognition, 241~261. [38]Kaplanski, G, Levy H, Veld C, et al, 2015, “Do happy people make optimistic investors?”, Journal of Financial and Quantitative Analysis, 50(1-2): 145~168. [39]Kaustia, Markku, and Elias Rantapuska, 2016, “Does mood affect trading behavior?”, Journal of Financial Markets, 29 (7): 1~26. [40]Kliger, D, Levy O, 2003, “Mood-induced variation in risk preferences”, Journal of Economic Behavior & Organization, 52(4): 573~584. [41]Kumar, A, 2009, “Who gambles in the stock market?”, The Journal of Finance, 64(4): 1889~1933. [42]Loewenstein, G. F, Weber E U, Hsee C K, et al, 2001, “Risk as feelings”, Psychological Bulletin, 127(2): 267. [43]Lu, L, Hu C H, 2005, “Personality, Leisure Experiences and Happiness”, Journal of Happiness Studies, 6(3):325~342. [44]Lusardi, A, 2000, “Explaining why so many households do not save”, Irving B. Harris Graduate School of Public Policy Studies, University of Chicago. [45]Odean, T, 1998, “Are investors reluctant to realize their losses?”, The Journal of Finance, 53(5): 1775~1798. [46]Paravisini, D, Rappoport V, Ravina E, 2017, “Risk aversion and wealth: Evidence from person-to-person lending portfolios”, Management Science, 63(2): 279~297. [47]Puri, M, Robinson D T, 2007, “Optimism and Economic Choice”, Journal of Financial Economics, 86(1): 71~99. [48]Richins, M. L, Bloch P H, 1991, “Post-purchase Product Satisfaction: Incorporating the Effects of Involvement and Time”, Journal of Business Research, 23(2): 145~158. [49]Saunders, E. M, 1993, “Stock prices and Wall Street weather”, The American Economic Review, 83(5): 1337~1345. [50]Scitovsky, T, 1976, “The joyless Economy: an Inquiry Into Human Satisfaction and Consumer Dissatisfaction”, Economic Journal, 1976, 86(344):911. [51]Stango, V, Zinman J, 2009, “Exponential Growth Bias and Household Finance”, The Journal of Finance, 64(6): 2807~2849. [52]Stijn ,Van Nieuwerburgh, Laura Veldkamp, 2010, “Information Acquisition and Under-Diversification”, The Review of Economic Studies, Volume 77, Issue 2, April 2010, 779-805. [53]Verhoef, P. C, Lemon K N, Parasuraman A, et al, 2009, “Customer Experience Creation: Determinants, Dynamics and Management Strategies”, Journal of Retailing, 85(1): 31~41. [54]Von, Gaudecker H M, 2015, “How Does Household Portfolio Diversification Vary With Financial Literacy and Financial Advice?”, The Journal of Finance, 489~507. [55]Westbrook, R. A, 1987, “Product/consumption-based Affective Responses and Post-purchase Processes”, Journal of Marketing Research, 24(3): 258~270.