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Course Overview

This course is for learners seeking an understanding of essential portfolio management concepts in a non-technical and accessible context. Understand the core theories and techniques employed by leading investors, including the fundamentals of portfolio management, risk-reward optimisation that are the cornerstones of successful investment portfolios. Learn how AI and machine learning are transforming the investment product landscape, and what you can do to adapt. And uncover the truth behind why the overwhelming majority of online investment gurus typically over-promise and under-deliver.

Who Should Attend

Business professionals seeking to enhance their understanding of investment theory, and professionals in the finance industry (e.g. relationship managers, financial advisors, asset managers) will find this course directly relevant.

What You'll Learn

  • Building and managing portfolios using risk-reward optimization
  • Multi-asset approaches
  • Portfolio levers, e.g. asset selection, sizing, timing, duration
  • Blending active and passive portfolio management
  • Digitalization of the investment landscape, and to adapt your own portfolio strategies
  • Managing portfolio risk
  • Avoiding common pitfalls

 

 

Level

 

Basic

 

 

Certification

 

Participants who meet at least 75% of the required course attendance and attempt the assessment will be awarded the Certificate of Completion.


For more information on course fee / schedule, or to apply,

Lecturer/Trainer Profile

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Course Contact

  • 67881212
  • Monday - Thursday: 8:30am - 6:00pm
    Friday: 8:30am - 5:30pm
     
    Closed during lunchtime, 12:00pm - 1:00pm
    and on weekends and public holidays.

     

  • https://www.tp.edu.sg/tsa
  • Temasek SkillsFuture Academy (TSA)

    Temasek Polytechnic

    East Wing, Block 1A, Level 3, Unit 4

    21 Tampines Avenue 1,

    Singapore 529757

  • Temasek Polytechnic reserves the right to alter the course, modify the scale of fee, amend any other information or cancel a course with low enrolment.

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