This is my third use case for how to do quantitative analysis with Chat GPT 4. The two others, on Eurozone inflation and times series regression with macro data, can be found here and here. I started in the industry as Head of Research for Variant Perception, a research shop that specialises, among other things, in quantitative trading models, asset allocation tools, and trade signalling analysis. One tool that came up again and again in my analyses was binary signals to identify turning points in asset classes, stocks or economic data series. The idea is simple. First, you create a binary indicator which takes the value of 1, if a certain threshold in the data is breached to the upside or downside, and zero otherwise. Secondly, you investigate what happens after such a signal has gone off, either in the original data set or mapped to a separate data set. You can combine signals across datasets to get a rolling series of signals, which can be compared to asset prices or economic data. You can see an example of such an analysis with the Nasdaq here.
Read MoreThe most significant change across my favourite market charts in the past few weeks is the fact that the US 60/40 portfolio is now eking out a small positive gain on a six-month basis. Chart 01 shows that my in-house 60/40 index—using the S&P 500 and the US 10y note—is now posting six-month returns to the tune of just over 1%. This reversal from a nadir in six-month returns of almost -20% earlier this year is driven by both stocks and bonds. The S&P 500 is up a bit over 10% since mid-October, and ten-year yields are off their highs. This, in turn, invites the question of whether we’re seeing the beginning of a reversal in the decline in stocks, and rise in yields, which have haunted investors this year. I wish I knew. To get at an answer to the question, however, it’s best to separate the equity story from the bond market story, at least to begin with.
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