Given that it is for second year masters student in financial markets, should it include only behavioral finance models and premises, or be rather non-orthodox, and cover issues like technical and market sentiment analysis? Should we look at the market only from secondary market investor's perspective, or we should include other points of view (corporate governance, etc.)? Should it be built on cases or on more "traditional" ways of reading lectures, should it include some quantitative part?
If your students plan to work in the market, I believe you should include the things traders and PMs look at. It doesn't have to be complex, but MACD and Fibonacci levels are common. As well you can bring in the different behaviors of the various markets - like the observed autocorrelation in the currency markets. But be sure to speak to the scalability and execution issues. That was you can lead into the role of OMS and dark pools and tie it in with systemic liquidity.
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