財務雲: 適用模組化金融計算服務之開放雲端平台

FinancialCloud: Open Cloud Framework of Modularized Financial Services

彭信璁(Hsin-Tsung Peng)

指導教授 ： 賴飛羆

共同指導教授 ： 何建明(Jan-Ming Ho)

國立臺灣大學/電機資訊學院/資訊工程學研究所/博士(2015年)

https://doi.org/10.6342/NTU.2015.01505

摘要

本研究的主要動機為金融市場的資訊不對稱現象。資訊不對稱構成了資訊寡占的問題。資訊寡占者擁有完善的資訊和知識，並將造成交易的不平衡。在資訊不對稱的現象中，另一個問題則是金融資訊服務的昂貴購置成本。與大型金融機構不同，許多公司機構由於其持有的衍生性商品部位較小，僅需要部分商品評價功能與市場資料而非整套完整的評價系統。
相異於現存的金融市場資訊集中與寡占的性質，本研究提出一個開放式的金融計算雲端平台。這樣的金融計算雲端平台具備了三項優勢。首先，使用者可以依據各自的需求，整合在雲端平台的金融服務模組進行商品評價或風險分析。此雲端平台將具有不同類型的服務提供商，例如，市場資料供應商可以收集並出售長期歷史市場數據，服務提供商也可提供各樣的衍生性商品評價服務。第二，透過雲端計算的優勢，將可為使用者減少軟體與硬體的購置成本。在雲端平台上的各項服務可以依其所需購買並按次付費的方式進行使用。第三，此雲端平台提供使用者法律層面的保障，當使用者與服務提供商簽署服務層級協議並同意其使用其相關的個人資料時，雲端平台將要求服務提供商落實資訊安全保護的義務。雲端平台亦提供隱私保護技術已確保資料在傳輸與計算上的安全性。
藉由上述的三項優勢，雲端平台期望可以幫助使用者降低進入金融市場的門檻。使用者可以在雲端平台上購買取得所需的評價服務與市場資料，從而整合這些模組化服務並計算與分析使用者投資組合的風險。財務專家與顧問可以使用雲端平台上的各項評價模組提供給其客戶即時的分析服務，如衍生性商品設計與投資風險的分析。中小型的金融機構與公司可藉由雲端平台的協助得到衍生性商品評價的技術，可以獲得此類複雜商品交易與擴展業務範圍的機會。

關鍵字

雲端計算 ； 財務工程 ； 衍生性商品評價 ； 風險管理 ； 資安隱私保護

並列摘要

The idea of this thesis begins from the information asymmetry of financial market. Information asymmetry constitutes an information oligopoly. The oligopolies in financial markets have perfect information and knowledge and cause an imbalance of power in transactions. Another problem in information asymmetry is the expensive license cost of financial information services. Unlike large financial institutes, many of companies do not hold large numbers of derivative and only need a few features in pricing software rather than the whole software package. Moreover, these companies only need the market data related to the derivatives that they are interested in. In contrast to the centralized and oligopoly nature of the existing financial information services, we advocate the notion of a FinancialCloud, i.e., an open distributed framework based cloud computing.
This new cloud-based architecture of modularized financial services provides three advantages. First, users can easily integrate modularized financial services, which are hosted on it, on demand to meet users’ needs. We may have different types of service providers in the ecosystem on top of the framework. For example, market data resellers may collect and sell a long-term historical market data. Statistical analyses of macroeconomic indices, interest rates, and correlation of a set of assets may also be purchased online. Some agencies might be interested in providing services based on pricing values of financial products in the future. Second, it is helpful for users to reduce both software and hardware costs since the modularized financial services are sold as purchase-as-needed components or pay-per-use access. Users pay for exactly what one uses to optimally manage their assets. Third, it suggests a privacy preserving mechanism from both technical and legal points of view to enrich the security of data processing, data transmission and data storage in cloud environment.
By combining the above advantages, FinancialCloud may help users to lower the barriers to enter into financial markets. A user may acquire services through an online agent who is an expert in assessing the structural model and quality of existing products and thus assembles service modules matching users’ risk taking behavior. Financial consultants may also use services to provide their customers a timely knowledge-based support, such as investment risk analysis. Small financial institutes and companies may have a chance to trade structured products and extend their scopes of business. In this thesis, we will present a prototype system we developed so far.

並列關鍵字

Cloud computing ； Financial computing ； Derivative pricing ； Risk management ； Privacy preservation

參考文獻

23 D. Duffie, A. Eckner, G. Horel, and L. Saita, “Frailty correlated default,” Journal of Finance, vol. 64(5), pp. 2089-2123, 2009.

30 劉定基, “雲端運算與個人資料保護-以台灣個人資料保護法與歐盟個人資料保護指令的比較為中心,” 東海大學法學研究, 第43期, pp. 53-106, 2014.

10 E. Kant and C. Randall, "System and method for financial instrument modeling and valuation," U.S. Patent 6 173 276 B1, Jan. 9, 2001.

3 B. Nicoletti, Cloud Computing in Financial Services, Palgrave Macmillan, 2013.

4 S. Subashini and V. Kavitha, “A survey on security issues in service delivery models of cloud computing,” Journal of Network and Computer Applications, vol. 34(1), pp. 1-11, 2011.