# Why use log to transform the series

Throughout the session, I have seen that series are changed into log ones. Why is this better? If your data cannot become negative, why should it be transformed?

Thanks for the help!

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They’re creating linear models. If you have data that grow exponentially, a linear model on the original data is inappropriate, but a linear model on the logarithm of the original data is appropriate.

In general, there are a bazillion types of transformations you can make to data to make the resulting relationship (approximately) linear. Because some financial data tend to grow exponentially, the CFA curriculum focuses on logarithmic transformations.

Simplify the complicated side; don't complify the simplicated side.

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CFA stock returns concepts are based on reversion to mean. That is a security cannot go to high or too low as over time it will revert to mean. if you want to project returns of a particular stock, it’s not possible to project exponential return neither substantially negative returns. In real life, though some stocks do give exponential returns but that is not based on fundamentals more on market speculation. Think of bitcoin as an example.

CFA Level 2 Youtube video: https://www.youtube.com/watch?v=AC0zi1wLq2Q&list=PLYQbmZotkhKHNQvOXT7HU7...

This may be true, but it’s not related to the original question.

Returns aren’t exponential.

If returns are constant, values grow (shrink) exponentially.

I have no idea what this means, but I’m pretty sure that it’s wrong.

Simplify the complicated side; don't complify the simplicated side.

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Transformation will detrend the data. We will be able to apply statistical models if the data don’t have any trend, in other words predictive models work on white noise.

Why LN transformation? Additivity

Magina, the Antimage II Never ever give up!!

It concerns me that you’ve used so many words and ideas incorrectly and in a manner that might make people believe you know how to use them (and you said it so matter-of-factly).

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You generalized the context and not referred the specificity of the problem.From my memory, I think the problem of the inst. was not a complex one where the objective was to apply Linear Regression on an econometrics dataset which follows an exponential trend. I don’t remember anywhere CFA Inst assumed that price data do not follow a LogNormal trend.

I said “Transformation” did not say “LN Transformation” will detrend the data. I am into stats modeling for sometime and I am aware of what I said. In CFA context for example,I will ALWAYS assume derivatives pricing can be done only by assuming Risk Neutrality outside I can think about Risk Sensitive pricing. We need to remember we are studying for CFA not for Financial Engineering

:)

Magina, the Antimage II Never ever give up!!

anyauthority on statistics (or econometrics if you’re so inclinded ot claim that’s very different in this context). I understand what you said, but the OP was asking about logarithmic transforms (a specific detail, but then you claim I made my response too general when you’ve talked about “transformation” in general rather than the OPs specific question). Partialling out is generally not considered a transformation otherwise every linear regressionnecessarilywould transform the DV because the right-hand side variables are partialled out of the DV; clearly this isn’t true.You may work with statistical models, but what you’ve said is at best very unclear (giving an extreme benefit of the large doubt created by your post) and most probably incorrect (as evidenced by what you said). Unfortunately using statistics doesn’t make one knowledgeable or an expert; this is why tons of physicians, psychologists, engineers, epidemiologists use statistics on a daily basis and publish papers, but are a tremendous source of poor-quality, irreproducible research that you might see touted in the news as part of some “research crisis”.

The context of the CFA exams (or financial engineering, which is neither statistics nor would I generally trust a financial engineer with statistical problems) doesn’t suddenly make well-known statistical methodologies or theory incorrect.

There was a lot said in your original post which is easily shown to be both unclear and incorrect. I’m going to leave this here, for I have seen Dunning and Kruger are already present!

Cheers!

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I won’t deny the fact that I am pretty new to the industry, hence I need to learn a lot and I should have been clearer. And I never claimed I am an expert while I am not, but I owned what I had written.

I don’t think any Dunning and Krugger effect is present. Rather, I always knew I was talking to an expert campaigner of AF, whose posts in Quants cleared many doubts of myself when I was a candidate.

Peace Sir. Looking forward to learn from you :) :)

Magina, the Antimage II Never ever give up!!

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Tickersu, thanks for the book rec. Always can get better/learn new things as we go. Since we are on the topic, do you have any go to reference sites/books for working on charting skills?

thanks again!

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Thank you much for your reference Sir. I think I am also using the same book, quite popular

Magina, the Antimage II Never ever give up!!

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Thanks again for your guidance

Magina, the Antimage II Never ever give up!!