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Motley Fool Hidden Gems Investing

Aswath Damodaran: Read Less. Think More.

Motley Fool Hidden Gems Investing

The Motley Fool

Business, Investing

4.33.1K Ratings

🗓️ 4 February 2024

⏱️ 40 minutes

🧾️ Download transcript

Summary

Want to follow the great investors? Then good luck beating the market. Aswath Damodaran is a Professor of Finance at the Stern School of Business at New York University. Bill Mann caught up with Damodaran for a conversation about: - Corporate lifecycles, and why investors should understand them. - The problem with trying to follow great investors. - The fall of research analysts, and the rise of passive investing. - An investing lesson from Charlie Munger. Companies mentioned: TSLA, META, BIRK, DIS, NOK Host: Bill Mann Guest: Aswath Damodaran Producer: Ricky Mulvey Engineers: Dan Boyd, Desireé Jones Learn more about your ad choices. Visit megaphone.fm/adchoices

Transcript

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0:00.0

If you have a absolute rule of I'll never buy a stock with a PE ratio greater than 25, God

0:07.3

help you because all you're going to be stuck with are dying companies and value traps in

0:11.5

your portfolio. I'm Mary Long and that's Aswath Demoterin, a leading professor of corporate finance and valuation at the Stern School of Business at New York University.

0:38.0

Bill Mann caught up with Demoterin for a wide-ranging conversation about how the wrong statistics can lead investors astray, what really drives

0:46.4

interest rates, and the difference between pricing a company and valuing one. I do want to start here at the beginning of 2024 by asking you I guess might what might be an unfair question given your

1:18.9

willingness to share with people online at the outset of the internet age, we believe that information

1:24.5

available to us would help us make better decisions and in a lot of realms of

1:29.3

our lives it has. What is your impression of how the instant availability of information has helped

1:38.9

the average investor if it has at all? I think we have to start by drawing a distinction between data and

1:45.9

information. We have a great deal more data now than we did 25 years ago. That's

1:50.8

without contest that is absolutely true. Our challenge now is to convert that data into information.

1:58.0

And here's the problem of facing, but drowning in data to the point that we give up.

2:02.0

I mean, psychologists have discovered that when you

2:04.8

provide people with too much data, they go to mental shortcuts. So in an ironic way, the more data we have available the more we fall back on

2:15.1

simplistic rules because we just can't handle the data so to me the challenge is

2:20.6

figuring out how to take those mountains of data we have available.

2:24.5

Nobody should ever say we don't have enough data anymore.

2:27.3

We have so much data and ask the question, how do we convert that data into usable

2:31.2

information? That requires discipline, it requires the structure of

2:35.4

thinking through data and that's partly what I've wrestled with. I won't

2:41.0

claim to have the answers but I wrestle with every year when I update the

2:45.1

data on my website is how do you convert that mountain of data into something that

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