Fintech and Investment : New Business Models

摘要 自2008年金融風暴後，長期的經濟動盪造成顧客喪失對於傳統投資產業之信心。在這樣的環境下，從自動化投資管理、社群交易平台到零售演算法交易的興起，提供低成本與先進的替代方案取代傳統的投資管理產業。這種方式獲得廣大消費者的信賴，並使得顧客擁有更多投資管理之控制權。 本研究欲探討賦權投資者於金融科技的浪潮下，競爭者加入後所面臨之挑戰進行情境分析，了解投資者如何以自動化管理及報告、社群交易平台和零售演算法交易改變投資管理業之發展，並使得傳統以顧問諮詢為主的投資管理興起全自動化或財務顧問協助之新商業模式；再者，透過個案分析，分別探討自動化管理及報告為代表之機器人理財公司以及零售演算法交易平台Quantopian，並建議投資產業應善用金融科技結合兩者，因此，未來顧問所扮演的角色將轉型為從旁協助財務規劃之服務，不僅能夠降低成本，亦可大幅提升理專的效率，為更廣大的客群提供高價值之金融服務。Abstract The 2008 financial crisis was the worst economic disaster since it has caused public losing confidence in traditional investement management industry. As a result, the three key innovation clusters are booming─automated management and advice, retail algorithmic trading and social trading platform─that offer lower-cost and advanced alternatives to replace the traditional investement management industry. Additionally, those innovation clusters gain more trust to the masses and allow customers to control in their own investment portfolio. This study analyzes three scenarios how the empowered investors face the challenges under the new waves of Fintech. In particular, we consider the investment management industry transfer the traditional model to the new business models of fully automation or advisor-assistant. In the case studies, we compare six typical robo-advisor firms and retail algorithmic trading platform like Quantopian. Furthermore, we suggest that the investment industry should make good use of Fintech that combines both advantage of automated management and retail algorithmic trading;therefore, it can not only reduce costs but also improve the efficiency of financial services