Benjamin Felix

And so he made an introduction, which finally got the connection made.

We would have done this one sooner if we could have.

I guess is the point of my long preamble, but I'm super excited that we got to talk to Elroy Dimpson.

He is a professor of finance and research director at Cambridge Judge Business School and bi-fellow of Gonville and Caius College, Cambridge.

He is also emeritus professor of finance at London Business School.

Listeners will likely know his name, Elroy Dimson, which is the D in the DMS data, which we've talked about many times because we use it a lot in our own research at PWL.

We also did an episode, I can't remember the episode number, but we did an episode a while ago, something like lessons from a hundred years of stock returns or something, where we went through a bunch of their past reports.

They do something called the Global Investment Returns Yearbook,

that they've been publishing for many, many years now.

Right now, it's sponsored by UBS.

Formerly, it was sponsored by Credit Suisse, but it's this just incredible book that they publish annually that details stock bond and bill returns for a whole bunch of countries all around the world.

They also publish indices, which we, PWL, subscribe to.

We purchase them every year, purchase a license to use them.

In their yearbooks, in the Global Investment Return yearbooks, they

Also, and he mentioned this during the conversation, they also do a couple of essays where they take a topic and they use their historical data to analyze it.

So an example would be, what is the historical relationship between economic growth in a country and its stock returns or industry growth and stock returns?

But they've got tons of these different essays over the many, many years that they've been doing this.

And it's a wealth of incredible analysis and information.

They've also got a very famous book called Triumph of the Optimists, which we also discussed.

That book was the culmination of their work using historical data to reconstruct indexes for a whole bunch of different countries.