When it comes to the question of whether the economy affects the stock market, it’s not about whether the former is in a good or bad state, but how that relates to what the market was expecting. In today’s episode we get into predictions about labour economics during COVID-19, the relationship between the market and the economy, and how to make decisions that suit your risk tolerance. We kick things off by reviewing insights Edward Lazear and Gerard O’Reilly gave in a recent webinar. They spoke about how the current crisis relates to past events from the perspective of labour economics, and what empirical data is saying about stock returns and the economy. A talking point here is the idea that recessions are defined by committees, and always long after they have either begun or ended. This leads to the topic of whether there is a relationship between economic data and stock market performance. We find many examples of cases in the short and long term where no correlation can be found between the two, and cases where the market starts to recover before the economy. We discuss how this speaks of a fundamental difference in the analytical methods of economists versus investors, not a rigged market. The first group assesses past information while the second invests based on where they think things will go. We talk about what happens when GDP is good but not as high as expectations were, and how per-share earnings growth can only keep up with GDP if no new shares were issued. We then switch to the concept of risk aversion and discuss the differences between system one and system two thinking, before moving into a comparison between two methods of analyzing risk. Tune in for your weekly reality check!
The Stock Market vs. The Economy, and Assessing Risk Tolerance (EP.94)
When it comes to the question of whether the economy affects the stock market, it’s not about whether the former is in a good or bad state, but how that relates to what the market was expecting. In today’s episode we get into predictions about labour economics during COVID-19, the relationship between the market and the economy, and how to make decisions that suit your risk tolerance. We kick things off by reviewing insights Edward Lazear and Gerard O’Reilly gave in a recent webinar. They spoke about how the current crisis relates to past events from the perspective of labour economics, and what empirical data is saying about stock returns and the economy. A talking point here is the idea that recessions are defined by committees, and always long after they have either begun or ended. This leads to the topic of whether there is a relationship between economic data and stock market performance. We find many examples of cases in the short and long term where no correlation can be found between the two, and cases where the market starts to recover before the economy. We discuss how this speaks of a fundamental difference in the analytical methods of economists versus investors, not a rigged market. The first group assesses past information while the second invests based on where they think things will go. We talk about what happens when GDP is good but not as high as expectations were, and how per-share earnings growth can only keep up with GDP if no new shares were issued. We then switch to the concept of risk aversion and discuss the differences between system one and system two thinking, before moving into a comparison between two methods of analyzing risk. Tune in for your weekly reality check!
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