A survey in 2019 of nearly 5000 people showed that 49% of product searches start on Amazon. For Prime members who are frequent users this figure is closer to 80%.
Google is notching up the competition.
Shopify, which Ben points out is a key member of this anti-amazon alliance, is also launching an app of their own to showcase the nearly 1m merchants using the platform.
“One of the most influential things he [Buffet] said to me was if you want to be successful, all you need to do is look around the room and think about the classmate or classmates you most admire and what qualities they have and just decide to adopt those qualities. If you do that, your chances of being successful go up enormously.”
“I actually think that people will be that much more desperate for human connection after this experience than they were before.”
He is probably right on the last point – long human connection?
The fund is -21.5% in Q1 and down a futher -1.1% in April (despite the market rebound).
Interesting discussion of how, despite taking net from 74% to 15%, they still struggled with performance against a falling market.
Eninhorn’s value style is struggling in recent years and these markets. Despite this Greenlight is starting to market the fund again.
Letter includes interesting debate on inflation post-crisis, what to buy in that environment, his current holdings and shorts (incl TSLA), new positions. Always worth a read.
They plot the markets trailing P/E ratio against CPI inflation (right hand side) and the 10-year real treasury yield (left hand side).
The data is from 1948 to today and sourced from BofAML
As real-rates go negative or inflation falls multiples tend to be lower.
KKR analysis suggests there isn’t some funny data skewing results here.
What about today? at the current real 10-year yield of -1.5% and inflation rate of 2.3% (likely to fall) the 17.5x P/E ratio for the market (since increased) stands out as too high.
These types of equity strategy charts are good to hang on to.
However, these views are outdated (data tends to run to 2010), often fail to account for start-ups (i.e. by following a pre-existing cohort) and are an extrapolation of a trend.
The pictured chart is an updated graph of the number of new drugs or new molecular entities (NMEs) per $bn of R&D spend.
Interestingly it has actually been stable for much of the 2000s and can be explained in part by the industry having better information and how it is used. This article explains in depth.