Comments for Quantivity https://quantivity.wordpress.com Uncommon Returns through Quantitative and Algorithmic Trading Sun, 20 Apr 2025 10:20:09 +0000 hourly 1 http://wordpress.com/ Comment on Why Log Returns by Cody Garrett https://quantivity.wordpress.com/2011/02/21/why-log-returns/#comment-11741 Sun, 20 Apr 2025 10:20:09 +0000 http://quantivity.wordpress.com/?p=3018#comment-11741 Appreeciate this blog post

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Comment on Minimum Variance Portfolios by Maris https://quantivity.wordpress.com/2011/04/17/minimum-variance-portfolios/#comment-11739 Mon, 09 Dec 2024 13:47:01 +0000 http://quantivity.wordpress.com/?p=4055#comment-11739 Lovely blog you hhave

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Comment on Optimal Equity Monetization: Part 3 by Assorted Links | David Cerezo Sánchez https://quantivity.wordpress.com/2011/08/03/optimal-equity-monetization-part-3/#comment-11735 Mon, 14 Oct 2024 12:13:53 +0000 http://quantivity.wordpress.com/?p=6325#comment-11735 […] Optimizal Equity Monetization […]

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Comment on Why Log Returns by Wealth Management | Pearltrees https://quantivity.wordpress.com/2011/02/21/why-log-returns/#comment-11721 Sun, 15 Oct 2023 17:28:42 +0000 http://quantivity.wordpress.com/?p=3018#comment-11721 […] Allocation. The ultimate toolkit for long term investing success. TA/Indicators. Why Log Returns | Quantivity. A reader recently asked an important question, one which often puzzles those new to quantitative […]

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Comment on Why Log Returns by tchebycheff https://quantivity.wordpress.com/2011/02/21/why-log-returns/#comment-11682 Fri, 19 May 2023 04:53:25 +0000 http://quantivity.wordpress.com/?p=3018#comment-11682 I think the SSRN paper linked belabours the obvious i.e. Jensen’s inequality. The formula they found with Taylor series algebra is just mean of log-normal distribution. No-one should, a priori, expect average of log returns to be same as average of returns.

The key point, as you say, is that operating in log space is computationally useful if we are doing a lot of multiplications. However, it is erroneous to expect statistics computed in log space to be equal to that computed in the original space.

Meucci’s paper is more about mistakes in estimation. Mean-variance utility is either a quadratic on wealth or a consequence of normality of returns. Using log returns to compute utility implies computing utility of log of wealth and it is not the same quantity. The mean-variance utility function is not a linear transformation, therefore the effect on log-space is not “equal”.

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Comment on Why Log Returns by Return Distribution in Financial Markets – What are they and how to calculate them – NOTES AND STUFF https://quantivity.wordpress.com/2011/02/21/why-log-returns/#comment-8950 Tue, 23 Aug 2022 10:39:09 +0000 http://quantivity.wordpress.com/?p=3018#comment-8950 […] However, it may be debated that we should instead use log-returns. The advantage of this is that we no longer need to normalise values when we compare with other currencies. Further information about this can be found here. […]

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Comment on Why Log Returns by Let's make GARCH more flexible with Normalizing Flows - Sarem Seitz https://quantivity.wordpress.com/2011/02/21/why-log-returns/#comment-8924 Tue, 28 Jun 2022 07:18:47 +0000 http://quantivity.wordpress.com/?p=3018#comment-8924 […] and analyze the result. Let us use the Apple adjusted close price as our dataset. We use log-returns, standardized by subtracting their mean and dividing by their standard deviation, as our target […]

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Comment on Why Log Returns by Cryptocurrency Analysis with Python — Log Returns – coin24 https://quantivity.wordpress.com/2011/02/21/why-log-returns/#comment-8737 Mon, 02 May 2022 20:09:56 +0000 http://quantivity.wordpress.com/?p=3018#comment-8737 […] The benefit of using returns, versus prices, is normalization: measuring all variables in a comparable metric, thus enabling evaluation of analytic relationships amongst two or more variables despite originating from price series of unequal values (for details, see Why Log Returns). […]

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Comment on Manifold Learning by Topological methods in finance - Finance Money https://quantivity.wordpress.com/2011/05/08/manifold-learning-differential-geometry-machine-learning/#comment-8695 Wed, 02 Mar 2022 00:56:21 +0000 http://quantivity.wordpress.com/?p=5397#comment-8695 […] Now I know that this idea of applied (algebraic) topology crops up from time to time also in finance, see e.g. this blog post from Quantivity: Manifold learning. […]

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Comment on Minimum Variance Portfolios by Why does the minimum variance portfolio provide good returns? - Finance Money https://quantivity.wordpress.com/2011/04/17/minimum-variance-portfolios/#comment-8694 Wed, 02 Mar 2022 00:24:59 +0000 http://quantivity.wordpress.com/?p=4055#comment-8694 […] been a researching minimum variance portfolios (from this link) and find that by building MVPs adding constraints on portfolio weights and a few other tweaks to […]

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