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The implications of online investing

Authors:

Prabhudev Konana,

Nirup M. Menon,

Sridhar BalasubramanianAuthors Info & Claims

Communications of the ACM, Volume 43, Issue 1

Pages 34 - 41

https://doi.org/10.1145/323830.323842

Published: 01 January 2000 Publication History

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Pan YMithas SPo-An Hsieh JLiu C(2023)Do Risk Preferences Shape the Effect of Online Trading on Trading Frequency, Volume, and Portfolio Performance?Journal of Management Information Systems10.1080/07421222.2023.219677740:2(440-469)Online publication date: 17-Jun-2023
https://doi.org/10.1080/07421222.2023.2196777
Fernado ETjhin SMulyono Meiyarni (2021)A Proposed Model to Measure the Influence Factor of Adoption for Online Investment Application2021 International Conference on Computer Science and Engineering (IC2SE)10.1109/IC2SE52832.2021.9792113(1-5)Online publication date: 16-Nov-2021
https://doi.org/10.1109/IC2SE52832.2021.9792113
Borsboom CJanssen DStrucks MZeisberger S(2021)History Matters: How Short-Term Price Charts Hurt Investment Performance.Journal of Banking & Finance10.1016/j.jbankfin.2021.106351(106351)Online publication date: Nov-2021
https://doi.org/10.1016/j.jbankfin.2021.106351
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The implications of online investing
1. Applied computing
  1. Electronic commerce
  2. Enterprise computing

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Reviewer: Gordon B. Davis

In choosing a brokerage firm for your online investing, should you choose the one with the lowest commission per trade__?__ Perhaps not. It depends on your characteristics as an investor, the characteristics of the brokerage firms you are considering, and the kinds of transactions you expect to execute. Actual costs are not just direct, observable transaction costs, but also include significant indirect costs. This article explains the issues and describes an investor choice process for selecting an online broker. It may be useful <__?__Pub Caret>either as a summary for a knowledgeable investor or as an introduction to the choice process for a neophyte.

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Published: 01 January 2000

Published in CACM Volume 43, Issue 1

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Pan YMithas SPo-An Hsieh JLiu C(2023)Do Risk Preferences Shape the Effect of Online Trading on Trading Frequency, Volume, and Portfolio Performance?Journal of Management Information Systems10.1080/07421222.2023.219677740:2(440-469)Online publication date: 17-Jun-2023
https://doi.org/10.1080/07421222.2023.2196777
Fernado ETjhin SMulyono Meiyarni (2021)A Proposed Model to Measure the Influence Factor of Adoption for Online Investment Application2021 International Conference on Computer Science and Engineering (IC2SE)10.1109/IC2SE52832.2021.9792113(1-5)Online publication date: 16-Nov-2021
https://doi.org/10.1109/IC2SE52832.2021.9792113
Borsboom CJanssen DStrucks MZeisberger S(2021)History Matters: How Short-Term Price Charts Hurt Investment Performance.Journal of Banking & Finance10.1016/j.jbankfin.2021.106351(106351)Online publication date: Nov-2021
https://doi.org/10.1016/j.jbankfin.2021.106351
Koksalmis GGozudok A(2021)What Impacts E-Commerce Acceptance of Generation Z? A Modified Technology Acceptance ModelRecent Advances in Technology Acceptance Models and Theories10.1007/978-3-030-64987-6_5(57-77)Online publication date: 16-Mar-2021
https://doi.org/10.1007/978-3-030-64987-6_5
Xiong XLuo CZhang YLin S(2019) Do stock bulletin board systems ( BBS ) contain useful information? A viewpoint of interaction between BBS quality and predicting ability Accounting & Finance10.1111/acfi.1244858:5(1385-1411)Online publication date: 10-Feb-2019
https://doi.org/10.1111/acfi.12448
Agarwal SKumar SGoel U(2019)Stock market response to information diffusion through internet sources: A literature reviewInternational Journal of Information Management10.1016/j.ijinfomgt.2018.11.00245(118-131)Online publication date: Apr-2019
https://doi.org/10.1016/j.ijinfomgt.2018.11.002
Escudero Guirado CMartínez de Ibarreta Zorita CGoytre Castro C(2018)Beyond Signed T-Shirts: A Socio-Technological Model of Equity Crowdfunding AdoptionJournal of Innovation Economics & Management10.3917/jie.pr1.0024n° 26:2(137-172)Online publication date: 21-May-2018
https://doi.org/10.3917/jie.pr1.0024
Kalaignanam KKushwaha TRajavi K(2018)How Does Web Personalization Create Value for Online Retailers? Lower Cash Flow Volatility or Enhanced Cash FlowsJournal of Retailing10.1016/j.jretai.2018.05.00194:3(265-279)Online publication date: Sep-2018
https://doi.org/10.1016/j.jretai.2018.05.001
Gazali HAdeyemi AAlhabshi S(2016)Exploring the Influential Factors on Online Investment Platform2016 6th International Conference on Information and Communication Technology for The Muslim World (ICT4M)10.1109/ICT4M.2016.043(166-170)Online publication date: Nov-2016
https://doi.org/10.1109/ICT4M.2016.043
Abroud AChoong YMuthaiyah S(2015)A Conceptual Framework for Online Stock Trading Service AdoptionBanking, Finance, and Accounting10.4018/978-1-4666-6268-1.ch024(467-483)Online publication date: 2015
https://doi.org/10.4018/978-1-4666-6268-1.ch024
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