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How do financial markets match providers with users, and how efficiently does the market determine prices? Can investors rely on notoriously volatile stock markets to function efficiently? It can be difficult to determine whether successful investments are a matter of skill or luck. In this free course, The financial markets context, you will interrogate whether markets can function efficiently, and what factors might militate against this. You will also learn the importance of the Efficient Markets Hypothesis.
After studying this course, you should be able to:
- make an informed judgement about whether or to what extent a financial market satisfies the conditions of an efficient market
- identify the main factors that could detract from that efficiency.
Study this free course
Enrol to access the full course, get recognition for the skills you learn, track your progress and on completion gain a statement of participation to demonstrate your learning to others. Make your learning visible!
The financial markets context
How do financial markets match providers with users, and how efficiently does the market determine prices? Financial markets can be notoriously volatile, and the stock market is possibly the most volatile of them all. This is after all the place where, depending on skill or on luck, investors either ‘make a killing’ or ‘lose their shirts’. But which does it depend on – skill or luck? Or does it depend on a mixture of the two? In this unit, you will find the answers to these key questions and discover the importance of the Efficient Markets Hypothesis.
This OpenLearn course provides a sample of postgraduate study in
This free course includes adapted extracts from an Open University course which is no longer available to new students. If you found this interesting you could explore more free Accounting and Finance courses or view the range of currently available OU Accounting and Finance courses.
Copyright & revisions
Originally published: Thursday, 19th July 2012
Last updated on: Thursday, 14th January 2016
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