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    Title: 理財機器人於台灣理財市場之適用探討
    Research on Robo-Advisor Solutions for Financial Planning Market in Taiwan
    Authors: 莊子郁
    Chuang, Tzu-Yu
    Contributors: 王儷玲
    Wang, Li-Ling
    莊子郁
    Chuang, Tzu-Yu
    Keywords: 金融科技
    理財機器人
    金融監理
    FinTech
    Robo-Advisors
    Financial Regulation
    Date: 2019
    Issue Date: 2019-09-05 15:47:48 (UTC+8)
    Abstract: 在金融科技趨勢發展之下,「理財機器人」(Robo-Advisor)此一新形態之商業模式在近十年如雨後春筍般在市場興起。理財機器人因為自動化的特性,對於金融服務業者而言可以大幅降低其管理的成本;而對於投資人而言,低費用、低門檻、透明等特性更能吸引散戶投資人將其資產交給理財機器人管理。
    雖然理財機器人在美國、英國等國家蓬勃發展中,在台灣卻仍處於起步的階段。本研究希望探討我國之理財機器人在投資執行面和監理政策面上如何精進,使理財機器人之服務能更好的適用於台灣的理財市場,藉此推廣理財機器人在台灣的發展。本研究在投資執行面上,希望探討理財機器人使用何種投資方法可以在台灣的金融市場得到最好的績效,以及理財機器人所提供之加值服務是否符合能為投資人帶來更好多好處;在監理政策面上,希望探討我國之理財機器人應在何種監理環境下會有更好的發展。
    實證結果發現,本研究設計使用Fama-French三因子模型之理財機器人投資表現相對使用CAPM模型的理財機器人好,顯示Fama-French三因子模型在本研究假設下較適合台灣的市場;而在理財機器人機制下加入自動再平衡、定期定額投資方式,更能彰顯其協助消費者做好投資理財的價值,應可作為國內業者和投資人之參考;本研究分析結果也發現,目前台灣理財機器人受於現行法規影響,在資本額門檻、全權委託業務等法規上無法突破,此應為政府未來之重點修法方向,尤其ETF市場之規模亦是我國為來發展理財機器人市場之一大挑戰。
    Under the trends of FinTech, the new form of business model "Robo-Advisor" has sprung up in the market in the past decade. Thanks to feature of automation, financial service providers are able to reduce their cost of management by applying Robo-Advisors. For investors, features like low cost, low requirement and transparency significantly attract retail investors to transfer their assets to Robo-Advisors.
    Although Robo-Advisors are booming in countries like United States, United Kingdom, it is still early stage in Taiwan. This paper hopes to explore how Robo-Advisors can be improved through better investment execution and regulation policies, so that the service of Robo-Advisors can be better applied in Taiwan. On the investment execution side, this paper hopes to discuss the investment methods used by Robo-Advisors to obtain the best performance in Taiwan's financial market, and whether the value-added services provided by Robo-Advisors are in line with the benefits of investors; On the side of regulation policy, this paper hope to explore a better suitable regulation environment to develop Robo-Advisors in Taiwan.
    The empirical results show that the financial investment performance of the Robo-Advisors applying the Fama-French three-factor model is better than that of the one using the CAPM model under the assumptions of this paper, and the Robo-Advisors featuring the automatic rebalancing and regular saving plan shows better value, which is very suitable in retirement planning. This paper also found that the development of Robo-Advisors in Taiwan is restricted by the current regulation rules. The regulations on capital requirement and discretionary entrustment should be the first priority of the government's reform, and the limited scale of the ETF market is also one of the greatest challenges for developing Robo-Advisor in Taiwan.
    Reference: 一、 英文部分
    AdvisoryHQ. (2016). How Much Does A Financial Advisor Cost? Average Ria & Financial Advisor Fees In 2016.
    Agarwal, S., Driscoll, J. C., Gabaix, X., & Laibson, D. (2009). The Age Of Reason: Financial Decisions Over The Life Cycle And Implications For Regulation. Brookings Papers on Economic Activity, 2009(2), 51-117.
    Authority, F. C. (2016a). Business Plan 2016/17.
    Authority, F. C. (2016b). Financial Advice Market Review Fianl Report.
    Authority, F. C. (2019a). Business Plan 2019/20.
    Authority, F. C. (2019b). Global Financial Innovation Network (GFIN). Retrieved from https://www.fca.org.uk/firms/global-financial-innovation-network
    Authority, F. I. R. (2016). Report On Digital Investment Advice.
    Baker, T., & Dellaert, B. (2017a). Regulating Robo Advice Across The Financial Services Industry. Iowa L. Rev., 103, 713.
    Baker, T., & Dellaert, B. (2017b). Regulating Robo Advisors: Old Policy Goals, New Challenges.
    Baker, T., & Dellaert, B. G. (2018). Behavioral Finance, Decumulation and the Regulatory Strategy for Robo-Advice.
    Bank, D. (2017). Robo-Advice: A True Innovation In Asset Management.
    Betterment. (2016). How And When Is My Portfolio Rebalanced? Retrieved from https://support.betterment.com/customer/portal/articles/987453-how-and-when-is-my-portfolio-rebalanced-
    Betterment. (2017). White Paper: Tax Loss Harvesting. Retrieved from https://www.betterment.com/resources/research/tax-loss-harvesting-white-paper/
    Betterment. (2018). Where In The World Are You Invested? Retrieved from https://www.betterment.com/resources/portfolio-diversification/
    Betterment. (2019). Retrieved from https://www.betterment.com/
    Black, F. (1986). Noise. The journal of finance, 41(3), 528-543.
    Black, F. (1992). Beta and return. Journal of portfolio management, 1.
    Bodie, Z., Mitchell, O. S., Hammond, P. B., & Zeldes, S. (2002). Innovations In Retirement Financing: University of Pennsylvania Press.
    Brinson, G. P., Diermeier, J. J., & Schlarbaum, G. G. (1986). A Composite Portfolio Benchmark For Pension Plans. Financial Analysts Journal, 42(2), 15-24.
    Brinson, G. P., Singer, B. D., & Beebower, G. L. (1991). Determinants Of Portfolio Performance II: An Update. Financial Analysts Journal, 47(3), 40-48.
    C Lopez, J., Babcic, S., & De La Ossa, A. (2015). Advice Goes Virtual: How New Digital Investment Services Are Changing The Wealth Management Landscape. Journal of Financial Perspectives, 3(3).
    Callaway, J. (2018). FinTech Disruption: Opportunities to Encourage Financial Responsibility.
    Company, M. (2015). The Virtual Financial Advisor: Delivering Personalized Advice in the Digital Age.
    EY. (2015). Advice Goes Virtual: How New Digital Investment Services Are Changing The Wealth Management Landscape.
    Fama, E. F. (1970). Efficient market hypothesis: A review of theory and empirical work. Journal of Finance, 25(2), 28-30.
    Fama, E. F., & French, K. R. (1992). The cross‐section of expected stock returns. The journal of finance, 47(2), 427-465.
    Fama, E. F., & French, K. R. (1993). Common risk factors in the returns on stocks and bonds. Journal of financial economics, 33(1), 3-56.
    Fama, E. F., & French, K. R. (1995). Size and book‐to‐market factors in earnings and returns. The journal of finance, 50(1), 131-155.
    Fama, E. F., & French, K. R. (1996). Multifactor explanations of asset pricing anomalies. The journal of finance, 51(1), 55-84.
    Fein, M. L. (2015). Robo-Advisors: A Closer Look. Available at SSRN 2658701.
    Fisch, J. E., Labouré, M., & Turner, J. A. (2018). The Emergence of the Robo-advisor.
    Fisch, J. E., Turner, J. A., & Center, P. P. (2017). Robo Advisers vs. Humans: Which Make the Better Financial Advisers. University of Pennsylvania Law School, 29.
    Forum, W. E. (2015). The Future of Financial Services.
    FutureAdvisor. (2017a). How Can Tax Loss Harvesting Improve Your Returns? Retrieved from https://www.futureadvisor.com/content/resources/getting-started/portfolio-strategy/tax-loss-harvesting
    FutureAdvisor. (2017b). Why Is Tax-Efficient Asset Placement So Important? Retrieved from https://www.futureadvisor.com/content/resources/getting-started/portfolio-strategy/why-is-tax-efficient-asset-placement-so-important
    FutureAdvisor. (2019). Retrieved from https://www.futureadvisor.com/
    Grossman, S. J., & Stiglitz, J. E. (1980). On the impossibility of informationally efficient markets. The American economic review, 70(3), 393-408.
    Hodge, F. D., Mendoza, K. I., & Sinha, R. K. (2018). The Effect of Humanizing Robo-Advisors on Investor Judgments.
    Institute, I. C. (2019). 2019 Investment Company Factbook.
    Kendall, M. G., & Hill, A. B. (1953). The analysis of economic time-series-part i: Prices. Journal of the Royal Statistical Society. Series A (General), 116(1), 11-34.
    KPMG. (2016). China Leading Fintech 50.
    KPMG. (2018). The Pulse of Fintech 2018.
    Lam, J. W. (2016). Robo-Advisors: A Portfolio Management Perspective. Senior Thesis, Yale College.
    LCP. (2015). LCP Investment Management Fees Survey 2015.
    Lieber, R. (2014). Financial Advice For People Who Aren’t Rich. The New York Times, B1.
    Lintner, J. (1965). Security prices, risk, and maximal gains from diversification. The journal of finance, 20(4), 587-615.
    Lusardi, A., & Mitchell, O. S. (2014). The Economic Importance of Financial Literacy: Theory and Evidence. Journal of economic literature, 52(1), 5-44.
    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.
    Mark Nicoll, B. D. (2015). LCP Investement Management Fees Survey 2015.
    Markowitz, H. (1952). Portfolio Selection. The journal of finance, 7(1), 77-91.
    Markowitz, H. M. (1991). Foundations of Portfolio Theory. The journal of finance, 46(2), 469-477.
    Moulliet, D., Majonek, A., Stolzenbach, J., & Völker, T. (2016). The Expansion of Robo-Advisory in Wealth Management. Retrieved May, 3, 2018.
    Philippon, T. (2016). The Fintech Opportunity. Retrieved from
    Phoon, K., & Koh, F. (2017). Robo-Advisors And Wealth Management. The Journal of Alternative Investments, 20(3), 79-94.
    PwC. (2017). Sizing the prize: What’s the real value of AI for your business and how can you capitalise?
    Schwab. (2017). Schwab Intelligent Portfolios Asset Allocation White Paper. Retrieved from https://intelligent.schwab.com/public/intelligent/insights/whitepapers/asset-allocation.html
    Schwab. (2019). Retrieved from https://intelligent.schwab.com/
    Sharpe, W. F. (1964). Capital asset prices: A theory of market equilibrium under conditions of risk. The journal of finance, 19(3), 425-442.
    Sironi, P. (2016). FinTech Innovation: From Robo-Advisors To Goal Based Investing And Gamification: John Wiley & Sons.
    Tillmans, S. (2017). Rabo-Advisors: How Can Automated Investment Advice Change Risk Profiling Practices.
    Vukovic, A., & Bjerknes, L. (2017). Automated Advice: A Portfolio Management Perspective on Robo-Advisors. NTNU,
    Wealthfront. (2014). Engineer Your Portfolio With ETFs. Retrieved from https://www.slideshare.net/wealthfront/engineering-your-portfolio-with-etfs/33-Rebalancing_Considerations_Keep_in_mind
    Wealthfront. (2017a). Wealthfront Investment Methodology White Paper. Retrieved from https://research.wealthfront.com/whitepapers/investment-methodology/#null
    Wealthfront. (2017b). Wealthfront Tax-Loss Harvesting White Paper. Retrieved from https://research.wealthfront.com/whitepapers/tax-loss-harvesting/
    Wealthfront. (2019). Retrieved from https://www.wealthfront.com/

    二、 中文部分
    中華民國證券投資信託暨顧問商業同業公會. (2016). 機器人投資顧問(Robo Advisor )國外實務及相關法令與管理措施之研究.
    方俐潔. (2017). 投資組合績效導入金融科技的機器人理財-以台灣股票市場為例
    王紹宇. (2016). 智能理財技術崛起對美國及台灣財富管理產業的衝擊
    李齊良. (2017). 金融科技與投資產業 : 新商業模式
    邱暉雯. (2017). 傳統理財顧問面對理財機器人挑戰之研究
    紀宗利. (2018). 我國FinTech 發展之挑戰及因應策略. 財金資訊季刊, No.93, 2-7.
    許淙茗. (2017). 理財機器人之商業創新模式—以 W 公司為例
    黃良瑞、林郁珊. (2016). 自動化投資理財顧問(Robo-Advisor)之發展. 證券暨期貨月刊, 第三十四卷(第十期), 16-25.
    黃俊鴻. (2018). 理財機器人對投顧人力市場影響之探討
    劉哲宏. (2017). 投資人對機器人理財接受度探討以金融從業人員判斷為例
    蔡昌儒. (2016). FinTech初探:超漲與超跌股票在處置期間的股價反應與交易策略探討
    蔡維晉. (2018). 結合基金與策略投資的理財機器人系統開發
    證券暨期貨市場發展基金會. (2018). 我國發展機器人理財顧問之研究.
    Description: 碩士
    國立政治大學
    風險管理與保險學系
    105358021
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0105358021
    Data Type: thesis
    DOI: 10.6814/NCCU201900665
    Appears in Collections:[風險管理與保險學系 ] 學位論文

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