Vui lòng dùng định danh này để trích dẫn hoặc liên kết đến tài liệu này: http://thuvienso.vanlanguni.edu.vn/handle/Vanlang_TV/21103
Toàn bộ biểu ghi siêu dữ liệu
Trường DCGiá trị Ngôn ngữ
dc.contributor.authorMorke, Mathis-
dc.date.accessioned2020-08-17T06:23:17Z-
dc.date.available2020-08-17T06:23:17Z-
dc.date.issued2018-
dc.identifier.issn2373-8529-
dc.identifier.otherBBKH1865-
dc.identifier.urihttp://thuvienso.vanlanguni.edu.vn/handle/Vanlang_TV/21103-
dc.description4 tr. ; 307kb, "Financial Markets and Portfolio Management (2018) 32:437–439vi
dc.description.abstractThe efficient market hypothesis has been the prevailing theory in describing how financial markets work. It dates back roughly 50 years and states that market prices are a perfect reflection of all available information. The efficient market hypothesis is closely related to rational expectations of market participants and, therefore, the homo economicus. Eugene Fama describes an efficient market in his article “Random walks in stock market prices” in 1965 “as a market where there are large numbers of rational, profit-maximizers actively competing […]”. Over the course of years, the fact that market participants act as rational investors has been put into question by documenting “irrational” behavior of investors. Behavioral finance approaches this by assuming that investors are “human” and hence subject to biases and non-standard preferences possibly causing market inefficiencies.vi
dc.language.isoenvi
dc.publisherSpringer Nature B.V.vi
dc.subjectAdaptivemarketsvi
dc.subjectFinancial evolutionvi
dc.subjectSpeed of thoughtvi
dc.titleAndrew W. Lo: Adaptivemarkets: financial evolution at the speed of thoughtvi
dc.typeOthervi
Bộ sưu tập: Bài báo_lưu trữ

Các tập tin trong tài liệu này:
Tập tin Mô tả Kích thước Định dạng  
BBKH1865_Andrew W. Lo Adaptivemarkets financial evolution.pdf
  Giới hạn truy cập
"Andrew W. Lo: Adaptivemarkets: financial evolution at the speed of thought"306.75 kBAdobe PDFXem/Tải về  Yêu cầu tài liệu


Khi sử dụng các tài liệu trong Thư viện số phải tuân thủ Luật bản quyền.