Use of Bloomberg Professional in support of finance and economics teaching

Abhijit Sharma ()

Cogent Economics & Finance, 2015, vol. 3, issue 1, 1115618

Abstract: This paper evaluates the use of specialist software within university trading rooms in order to enable students to experience a simulated environment which allows them to gain an appreciation of “real life” decision-making within the finance and banking industry and become familiar with real-time data. An important additional aim of trading room-based instruction is to encourage responsible financial decision-making. Our analysis focuses on business schools within the United Kingdom and provides a detailed illustration of use of such resources, in particular, as deployed at the Bradford University School of Management. We provide a critical overview of the main challenges involved in making effective use of a trading room. We also offer recommendations to other academics to enable productive and appropriate use of resources such as Bloomberg Professional in order to enhance the student learning experience and to facilitate the development of valuable skills.

Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/23322039.2015.1115618 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:oaefxx:v:3:y:2015:i:1:p:1115618

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/OAEF20

DOI: 10.1080/23322039.2015.1115618

Access Statistics for this article

Cogent Economics & Finance is currently edited by Steve Cook, Caroline Elliott, David McMillan, Duncan Watson and Xibin Zhang

More articles in Cogent Economics & Finance from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().