淡江大學機構典藏:Item 987654321/109380
English  |  正體中文  |  简体中文  |  Items with full text/Total items : 62805/95882 (66%)
Visitors : 3952180      Online Users : 817
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/109380


    Title: Market Collective Wisdom Discovery for Portfolio Investments
    Authors: Juszczuk, Przemys law;Kaliszewski, Ignacy;Podkopaev, Dmitry;Shih, Hsu-Shih Shih
    Keywords: Multiple criteria decision making;investment portfolio;knowledge discovery
    Date: 2016
    Issue Date: 2017-01-17 11:15:58 (UTC+8)
    Publisher: 淡江大學出版中心
    Abstract: The goal of numerous investing strategies, as opposed to hedging strategies, is “to beat the market”, i.e. to secure returns higher than those guaranteed by tracking market indices. In order to achieve this goal, one needs to identify key factors which drive markets and cause security prices to fluctuate. We assume that distinctive key market factors exist, though it is not known how such factors correlate and aggregate, and eventually push a market from one quotation to another. In other words, we purport that at a given time there is the collective wisdom in a market
    which shapes the collective investment pattern for the future. We engage ourselves to reverse engineer that wisdom. Specifically, we attempt to reverse engineer it from market returns (which we interpret as collective market wisdom embodiment) with the use of the notions of vectors of concessions and compromise half lines, recently introduced into Multiple Criteria Decision Analysis. We illustrate our approach with preliminary calculations for selecting portfolios of international investment funds.
    Relation: International Journal of Information and Management Sciences 27 (2), pp.87-102
    DOI: 10.6186/IJIMS.2016.27.2.1
    Appears in Collections:[International Journal of Information and Management Sciences] v.27 n.2

    Files in This Item:

    File Description SizeFormat
    index.html全文連結0KbHTML620View/Open

    All items in 機構典藏 are protected by copyright, with all rights reserved.


    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - Feedback