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Risk

Trusting Stock Markets

Market efficiency, price discovery, and investor behaviour in stock markets

3 CPD credits on completion
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Certificate on completion
Downloadable resources
Self-paced learning

About This Course

Course Information

Investors, new or old, are regularly considering when is a good time to invest in stocks. Each investor is trying to sell at the high and buy at the low. It can be argued that at times we can be in a bull market and a bear market at the same time. Our Trusting Stock Markets podcast, in conjunction with MyWallSt.com gets to the bottom of all the confusion and commentary to give you clear guidance on how the stock market works. This course is made up of a podcast, questions and additional reading materials, and accounts for 3 units of CPD. One unit is the equivalent of one hour of learning.

Course Sections

This course is made up of the following sections:

  • Trusting Stock Markets (podcast)
  • Trusting Stock Markets (quiz)

What You Will Learn

  • Explain the efficient market hypothesis and its three forms: weak, semi-strong, and strong
  • Describe how stock prices incorporate publicly available and private information
  • Identify common behavioural biases that affect investor decision-making
  • Evaluate the arguments for and against trusting stock market prices as reliable signals
  • Assess the role of market participants, including institutional investors and retail traders, in price discovery

Who This Course Is For

  • Accountants and finance professionals who want to understand how and why stock prices move
  • Professionals advising clients on investment decisions who need a grounding in market efficiency
  • CPD learners looking for an accessible introduction to stock market theory

Prerequisites

  • No prior knowledge of stock market theory is required
  • A general awareness of how stock exchanges work is helpful

Frequently Asked Questions

Course Details

CPD Credits3
CertificateYes

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CPD certificate on completion
Downloadable resources
Self-paced learning
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