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Bloomberg Trading Competition

Home   /   Our Services   /   Bloomberg Trading Competition

Dr James McDermott

Module Coordinator: Dr James McDermott

Collaborator: Business eLearning

Module Title: Business Analytics

Module Code: MIS30090

Target Audience: BCom, Stage Two

Bloomberg Trading Competition - The Approach

Bloomberg  TMSG (Trade Message) is used to create an investment competition in an educational environment.  

TMSG is a professional idea-generation platform used by traders and analysts to share their investment ideas for external or internal evaluation.

 

This course is based in the Deloitte Analytics Lab in UCD Quinn School of Business, where students gain hands-on experience in training and use of the Bloomberg® financial information system. Student groups use the Bloomberg [TMSG] Trade Idea Messaging System to evaluate investment proposals and monitor their performance in a simulated context.

 

Real-Life Experiences

Students use an industry-standard platform. TMSG provides a simulated experience that is identical to the real thing. Students will be required to make investment decisions using real data, news and company reports, the same as an equity analyst in the City or on Wall Street.

Minimal Admin Workload

There is no requirement for students to download data and track positions and performance in programs like Excel. Faculties and lecturers need only create a network with investment rules. Student trades are then captured and measured automatically.

Peer Ranking

Making analytical decisions and having them compared with those of your peers is the kind of experience students can expect working in the financial sector. TMSG’s ranking table provides an ideal proving ground for this. 

 

 

BACKGROUND


In order to obtain the best outcomes from investment strategies, firms need to make optimal use of business information systems for financial data, analysing that data to make investment decisions. This course uses cases in financial decision making to frame (a) the role of a cutting-edge information system in the business process and (b) the use of large-scale financial data for decision-making using spreadsheet models.

This course is based in the Deloitte Analytics Lab in UCD Quinn School of Business, where students will gain hands-on experience in training and use of the Bloomberg® financial information system.

Student groups use the Bloomberg [TMSG] Trade Idea Messaging System to evaluate investment proposals and monitor their performance in a simulated context.

GOALS

Develop Research & Analysis Skills — Students will be asked to research companies using fundamental data and use technical analysis to conclude investment ideas. All these tools and data are available through Bloomberg.

  • Improve Communication & Teamwork — It is preferred, though not compulsory, to form small groups. Each team is made up of two or three students who work together to make collective investment decisions.
  • Build Bloomberg Skills — Throughout the competition, students use Bloomberg and utilize all possible functions to help their research.
  • Stay Abreast of the Market — To improve their chances of making profitable decisions, students must follow overall market trends, being mindful of M&A or earning releases of their target companies. It is a perfect exercise to keep them engaged with current financial markets.
  • Develop Investment Strategies — Students are required to devise a strategy and evaluate its effectiveness throughout the competition.

RESULTS

Feedback from the students has been very good.

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From a module coordinator’s perspective:

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Resources

 

Bloomberg Tutorials

Bloomberg Essentials

Data Analytics Lab FAQ

Bloomberg Aptitude Test

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