臺灣博碩士論文加值系統

在投資行為的研究中，多數認為投資股市的經驗對於投資效率與效能有很大的影響， 在行為財務的研究中也發現交易經驗豐富的投資者較易存在代表性、可用性與定錨調整法則，從而改變投資效率與效能。然而，近年來因為資訊科技的進步，資訊視覺化是否能有效提升投資的效率與效能成為本研究目的。因此，本研究試圖以代表性、可用性、定錨調整經驗法則與資訊視覺化為主要投入變數，觀察是否會對投資的效率與效能產生影響。
實證結果為資訊視覺化對於投資效率與效能皆未達到顯著水準，對於投資效率與效能不會造成顯著的影響。經驗法則中的可用性法則對於投資效率與效能皆達到顯著水準，定錨調整法則對於投資效率達到顯著水準，對於投資效率會造成負向的顯著影響。

In the research of investment behavior, most people think that a long time investing in the stock market can get more investment efficiency and effectiveness,but whether trading experience can be a key factor in improving investment efficiency and effectiveness, or whether it can improve investment efficiency and effectiveness with the help of information visualization. In the research of behavioral finance, it is found that investors with rich trading experience are more likely to have representativeness, availability, and anchor adjustment rules，thereby changing the efficiency and effectiveness of investment. all of the above refer to whether people actively collect visual data and study in depth when making decisions, or use rules of thumb to make investment decisions. after observation, we can find that many rules of thumb are related to information behavior. Therefore, this research attempts to use representativeness, usability, anchoring adjustment empirical rules, and information visualization as the main input variables to observe whether it will affect the efficiency and effectiveness of investment.
The empirical result is that information visualization has not reached a significant level of investment efficiency and effectiveness, and will not have a significant impact on investment efficiency and effectiveness. The usability law in the rule of thumb has reached a significant level of investment efficiency and effectiveness, and will have a positive and significant impact on investment efficiency and effectiveness. The Anchor Adjustment Law has reached a significant level of investment efficiency, and will have a significant negative impact on investment efficiency.

中文摘要 I
英文摘要 II
目錄 IV
表目錄 V
圖目錄 VI
第一章 緒論 1
第一節 研究背景與動機 1
第二節 研究流程與架構 4
第三節 研究目的 5
第四節 研究限制與範圍 5
第二章 文獻探討 7
第一節 資訊視覺化 7
第二節 經驗法則 17
第三節 投資效率與效能 27
第三章 研究設計與實施 33
第一節 研究設計 33
第二節 研究架構與假說 33
第三節 變數定義及衡量問項 37
第四節 研究對象 42
第五節 研究方法 42
第四章 研究方法與實證結果 44
第一節 敘述性統計 44
第二節 因素分析 47
第三節 信度分析 51
第四節 相關分析 52
第五節 回歸分析 53
第五章 結論 56
第一節 研究假設 56
第二節 實證結果 57
第三節 管理意涵 60
第四節 未來研究方向與建議 61
參考文獻 62
附錄——問卷 69

一、中文文獻
湯宗泰、劉文良（2009）。電子商務Web 2.0思維，三版，學貫行銷股份有限公司。
康仕仲（2012）。BIM實務應用於華盛頓大學醫學中心，355期，P57 – 63頁。
張春興（1994）。現代心理學，臺北：東華。臺北：東華。
張春興（1996）。教育心理學——三化取向的理論與實踐。
龔怡霖 (2000)。「行為財務學_文獻回顧與展望」，國立中央大學財務管理研究所碩士論文。
奚愷元（2009）。《別當正常的傻瓜》，台北市：久石文化出版。
張美中（2004）。《透視財務報表: 解讀數字背後的奧秘》，企業管理出版社， isbn 7-80197-006-3。
魏明洲（2016）。探討月營收資訊與三大法人買賣超對個股報酬之影響，國立高雄大學，國際高階經營管理碩士在職專班碩士論文。
林哲鵬、李春安、葉智丞（2012）。「投資人情緒與價格動能之關聯性」，《管理與系統》，19(4)，729-759頁。
謝榮記（2000）。「台中地區個別投資人對訊息心理反應與加權指數關連性之研究」，朝陽科技大學財務金融系論文。
吳麗皙（2001），公司資訊揭露與投資者信念關係之研究，私立文化大學國際企業管理研究所碩士論文。
郭敏華、郭迺鋒、邱耀初、范秉航(2005)。性別與投資行為：以台灣股票市場為例。財務金融學刊，13(2)，1-28頁。
葉智丞、朱曉萍、柯俊禎(2011)。投資人特質、投資習性、心理偏誤與投資績效之關聯性，財金論文叢刊，第15期，19-38頁。
邱耀初（2003）。框架效應存在嗎？籌碼效應對風險決策之影響，中華心理學刊，第45卷，171-182頁。
郭敏華、李謙（2005）。陽光影響投資情緒？以台灣股票市場為例，台灣金融財務季刊。
郭敏華、張瑞芳（2003）。投資人出盈保虧行為偏誤之探討：台灣與美國股市之比較，東海管理評論，第6卷第1期，31-50頁。
郭敏華、黃威智（2003）。投資人代表性捷思傾向之探討-以類似事件資訊效果之關聯為例，中華管理評論，第6卷第6期，34-49頁。
 

二、英文文獻
Baker, M, & Jeffrey,W. (2007), Investor Sentiment in the Stock Market. Journal of Economic Perspectives, Volume 21 (2): pp. 129-152.
De Long, J. B., Shleifer, A., Summers, L. H., & Waldmann, R. J. (1989), The size and incidence of the losses from noise trading. Journal of Finance, Volume 44(3): pp. 681-696.
De Long, J. B., Shleifer, A., Summers, L. H., & Waldmann, R. J. (1990a), Noise trader risk in financial markets. Journal of Political Economy, Volume 98(4): pp. 703-738.
De Long, J. B., Shleifer, A., Summers, L. H., & Waldmann, R. J. (1990b), Positive feedback investment strategies and destabilizing rational speculation. Journal of Finance, Volume 45(2): pp. 379-396.
Chen, M, & Janicke, H. (2010), An Information-theoretic framework for visualization. IEEE Transactions on Visualization and Computer Graphics, Volume 16(6): pp. 1206-1215.
Watson, L, & Spence, M. T. (2007), Causes and consequences of emotions on consumer behaviour: A review and integrative cognitive appraisal theory. European Journal of Marketing, Volume 41(5-6): pp. 487–511.
Simon, H, A, & Barenfeld, M. (1969), Information-processing analysis of perceptual processes in problem solving. Psychological Review, Volume 76(5): pp. 473–483.
Fayyad, U., Piatetsky-Shapiro, G, & Smyth, P. (1996), From Data Mining to Knowledge Discovery in Databases. AI Magazine, Volume 17(3): pp. 37.
Chen(2018), Monte Carlo Confidence Sets for Identified Sets, Volume86: Issue6, pp. 1965-2018.
Zajonc, R. B. (1980), Feeling and thinking: Preferences need no inferences. American Psychologist Volume 35(2): pp. 151-175.
Kahneman, D, & Tversky, A. (1986), Judgment under uncertainty: Heuristics and biases. In H. R. Arkes & K. R. Hammond (Eds.), Judgment and decision making: An interdisciplinary reader (pp. 38–55). Cambridge University Press. (This chapter originally appeared in "Science," 1974, 185, 1124-1131)Kahneman, D. (2003), Maps of Bounded Rationality: Psychology for Behavioral Economics. American Economic Review Volume 93(5): pp. 1449-1475.
Roberts, John M. (2004), Monetary Policy and Inflation Dynamics. Available at SSRN: https://ssrn.com/abstract=633222 or http://dx.doi.org/10.2139/ssrn.633222, 2021/6/25.
Ajzen, I. (1985), Attitudinal vs. normative messages: An investigation of the differential effects of persuasive communication on behavior. Sociometry, 34, 263–280.Bhattacherjee. Understanding information systems continuance :an expectation-confirmation model. MIS Quarterly, Volume 25(3): pp. 351-370.
Kahneman, D, & Tverskey, A. (1979), Prospect Theory: An Analysis of Decision under Risk. Econometrica, Volume 47: pp. 263-291
Kahneman, D, & Tverskey, A. (1991), Loss aversion risk less choice a reference-dependent model, Quarterly Journal of Economics. Volume 106:4: pp. 1039-1061.
Amir, E, & Ganzach, Y. (1998), Overreaction and underreaction in analysts' forecasts. Journal of Economic Behavior & Organization, Volume 37(3): pp. 333-347.
DeBondt., Werner F. M, & Richard H. Thaler, (1985), Does the Stock Market Overreact Journal of Finance Volume 40: pp. 793-808.
Amir, E, & Ganzach. Y. (1998), Overreaction and underreaction in analysts’ forecasts, Journal of Economic Behavior & Organization, Volume 37: pp. 333‐347.
Schwartz, B. (2004), Maximizing Versus Satisfacing: Happiness Is a Matter of Choice. J. of Personality and Social Psychology Volume 83(5): pp. 1178–1197.
Jetter, M, & Walker, J. (2017), Anchoring in financial decision-making: Evidence from Jeopardy!, Journal of Economic Behavior & Organization, Volume 141: (C), pp. 164-176.
Cutler, D., Poterba, J, & Summers, L. (1991), Review of Economic Studies Volume 58(3): pp. 529-46.
Abarbanell, S, & Bernard, L. (1992), Tests of Analysts' Overreaction/Underreaction to Earnings Information as an Explanation for Anomalous Stock Price Behavior. Volume47: Issue3 pp. 1181-1207.
Mande, V, & Kwak, W. (1996), Do japanese analysts overreact or underreact to earnings announcements Abacus Volume 32: pp. 81–101.
Porta, L. (1996), Expectations and the Cross-Section of Stock Returns. Volume51: Issue5 pp. 1715-1742.
Kane, A, Y., Lee, K, & Marcus, A. (1984), Earnings and dividend announcements: Is there a corroboration effect? Journal of Finance Volume 39: pp. 1091-1099.
Barber, B., Lyon, J., 1997. Detecting long-horizon abnormal stock returns: the empirical power and
specification of test statistics. Journal of Financial Economics 43, 341.
Barber, B., Lyon, J., 1997. Detecting long-horizon abnormal stock returns: the empirical power and
specification of test statistics. Journal of Financial Economics 43, 341.
Barber, B, & Lyon, J. (1997). Detecting long-horizon abnormal stock returns: the empirical power andspecification of test statistics. Journal of Financial Economics Volume 43: pp. 341.
Kuserk, G, & Peter, R, L. (1993), Scalper behavior in futures markets: an empirical examination. Journal of Futures Markets Volume 13: pp. 409-431.
Douglas, J. (2004), Schuurman, Vocation: Discerning Our Callings in Life. Political Theology Volume 5: No. 4, pp. 504-506.
Shefrin, H. (2002), International Journal of Forecasting Volume 18(3): pp. 375-382.
Brown, W, & Cliff, T. (2004), Investor sentiment and the near-term stock market, Journal of Empirical Finance, Volume 11 (1): pp. 1-27.
Jorion, P. (2003), Portfolio Optimization with Tracking-Error Constraints, Financial Analysts Journal, Volume 59 (5): pp. 70-82.
Thaler, R, H. (1985), Mental accounting and consumer choice, Marketing Science Volume 4: pp. 199-214.
Amir, E, & Ganzach, Y. (1998), Overreaction and underreaction in analysts’ forecasts, Journal of Economic Behavior & Organization, Volume 37: pp. 333‐347.
Cacioppo, J, T., Petty, R, P, & Morris, K, J. (1983), Effects of need for cognition on message evaluation, recall, and persuasion. Journal of Personality and Social Psychology, Volume 45(4): pp. 805–818.
Wixom, B. H, & Todd, P, A. (2005), A Theoretical Integration of User Satisfaction and Technology cceptance, Information Systems Research, Volume 16(1): pp. 85-102.
Anginer, D., Fisher, K. L, & Statman, M. (2008), Affect in a Behavioral Asset-Pricing Model. Financial Analysts Journal, Volume 64: pp. 20-29.
Barberis, N., Shleifer, A., & Vishny, R. (1998), A model of investor sentiment. Journal of Financial Economics, Volume 49(3): pp. 307-343.
Guielford, J, P. (1965), Fundamental Statistics in Psychology and Education, 4th Edition,McGraw-Hill. Journal Creative Education, Volume 4: No.2, pp. 29-33.
Nunnally, J, C. (1978), Psychometric Theory, 2nd Edition, McGraw-Hill, JournalOpen Journal of Preventive Medicine, Volume 2: No.2, 87-91.
Thaler, R, H, & Johnson E, J. (1990), Gambling with the house money and trying to break even: The effects of prior outcomes on risky choice, Management Science. Volume 36: issue 6, pp. 643-660.
Barberis, N, & Huang. (2001), Mental Accounting, Loss Aversion, and Individual Stock Returns. The Journal of Finance. The Journal of Finance Volume 56(4): pp. 1247 – 1292.
Lee, W, Y., Jiang, C, X, & Indro, D, C. (2002), Stock market volatility, excess returns, and the role of investor sentiment. Journal of Banking and Finance, Volume 26(12): pp. 2277-2299.
Fischhoff, B., Slovic, P, & Lichtenstein, S. (1977), Knowing with certainty: The appropriateness of extreme confidence. Journal of Experimental Psychology: Human Perception and Performance, Volume 3(4): pp. 552–564.
Koriat, A., Lichtenstein, S, & Fischhoff, B. (1980), Reasons for confidence. Journal of Experimental Psychology: Human Learning and Memory, Volume 6(2): pp. 107–118.
Fischhoff, B., Slovic, P, & Lichtenstein, S. (1977), Knowing with certainty: The appropriateness of extreme confidence. Journal of Experimental Psychology: Human Perception and Performance, Volume 3(4): pp. 552–564.
Ganzach, Y, & Krantz, D, H. (1990), The psychology of moderate prediction: I. Experience with multiple determination. Organizational Behavior and Human Decision Processes, Volume 47(2): pp. 177–204.
Lichtenstein, S, & Slovic, P. (1971), Reversals of preference between bids and choices in gambling decisions. Journal of Experimental Psychology, Volume 89(1): pp. 46–55.