The Meb Faber Show - Better Investing
Oct 9, 2026 · 47 min · 15 segments
My guest today is Andrew Ang, Founder of Tau Balance and professor at Columbia University. He previously ran factor investing at BlackRock. In today's episode, Andrew explains how a swarm of AI…
Andrew AngGuest
Meb FaberHost
And you want diversification at all levels in your portfolio as much as you can do.

So the first layer of diversification is using multiple signals to measure a given factor.

So you don't just measure value with book to market or earnings to price, right? We wanna measure it with intangible capital and economic value added and have a proper multi-dimension view of these factors.

The second layer of diversification is that you don't want to just have one factor in your portfolio.

Value is a great example because it went through a horrific, absolutely horrific drawdown from 2018 to 2020, really bounced back at the end of 2020, going into 2021.

When you want to hold them in a balanced way, I put them with low tracking errors that can be a core part of your portfolio.

Now, the factors do vary over time, and you, I think, might think about factor tilting or positioning for these factors.

But you don't want to rely on just one single method to position your factors or vary them over time.

So we're using three models, a market similarity model, which places more weight on episodes in the past that are similar to today.

And then finally, you can look at their dispersions or how attractive the economic opportunity is in these factors.

Simply put, if there's a big difference between the returns of the stocks going up versus stocks going down, I think momentum is more attractive at that time.

If there's a large difference in valuations between the expensive stocks and the cheap stocks, that also means it's a more attractive time for value.

And you want diversification at all levels in your portfolio as much as you can do.

So the first layer of diversification is using multiple signals to measure a given factor.

So you don't just measure value with book to market or earnings to price, right? We wanna measure it with intangible capital and economic value added and have a proper multi-dimension view of these factors.

The second layer of diversification is that you don't want to just have one factor in your portfolio.

Value is a great example because it went through a horrific, absolutely horrific drawdown from 2018 to 2020, really bounced back at the end of 2020, going into 2021.

When you want to hold them in a balanced way, I put them with low tracking errors that can be a core part of your portfolio.

Now, the factors do vary over time, and you, I think, might think about factor tilting or positioning for these factors.

But you don't want to rely on just one single method to position your factors or vary them over time.

So we're using three models, a market similarity model, which places more weight on episodes in the past that are similar to today.

And then finally, you can look at their dispersions or how attractive the economic opportunity is in these factors.

Simply put, if there's a big difference between the returns of the stocks going up versus stocks going down, I think momentum is more attractive at that time.

If there's a large difference in valuations between the expensive stocks and the cheap stocks, that also means it's a more attractive time for value.
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