4.8 • 670 Ratings
🗓️ 6 July 2020
⏱️ 5 minutes
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How to allocate a portfolio, accounting for market correlations?
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0:00.0 | This goes a little bit about asset allocation or portfolio construction. |
0:07.0 | And the question goes like this. |
0:09.0 | Let's say I want to construct a simple portfolio using four asset classes, equities, bonds, reeds and commodities. |
0:15.0 | From there, I can either deploy my cash by using a naive 1 over N allocation, 25% on each, or by using a risk parity approach by sizing |
0:23.8 | based on volatility. In other words, allocating more to low-val assets, less to high-vol |
0:28.8 | assets, may be rebalancing at some point in time so that in the end I keep about the same unit |
0:34.1 | of risk-perposition. Classic stuff here. |
0:37.7 | The next level would be to introduce correlation matrix |
0:40.6 | between the four asset classes. |
0:42.2 | If, for example, equities and reeds are highly correlated, |
0:46.9 | then maybe I should allocate less on both. |
0:50.2 | So I always wonder if CTAs use these correlation matrices |
0:54.1 | and if yes, how. |
0:58.0 | Your opinions, please. |
1:01.4 | Yes, definitely use that. |
1:03.6 | Looking at correlation and that plays an important role in portfolio construction. |
1:08.2 | I think the question is, do you have a, like, is that changing all the |
1:12.8 | time? So what I mean with that is, do you continue to calculate correlations over different time |
1:19.2 | periods every day? And as a result of that, change your next position size, because, you know, |
1:26.2 | maybe correlations have gone up in the past, say, |
1:28.3 | 20 days or 100 days, and that causes you to take a smaller position the next time you get a signal. |
1:35.9 | Or do you have a more static approach, like a static correlation matrix where you say, |
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