How did the model portfolios on which ETFs are built fare five years after launch when compared to three years before? measured relative to the benchmark selected by the managers themselves.
The results aren’t pretty.
Thematic strategies that added 3-5% a year pre-launch, lost 4-5% a year in the five years after.
It seems that hype in various areas, leads to a launch of ETFs which then don’t add any alpha.
So be careful when you invest in the next hot thing via ETF.
Note this is just the model portfolio performance (e.g. index) and NOT the ETF itself (though it should track very closely after costs).
Fundamentals have been bad in biotech land, something that is reflecting in share prices and IPO performance (XBI has halved since peak).
Positive news flow among small and mid-cap biotechs, which hit 60% in 2020, has just fallen below 30%.
“But it’s not just small caps, it’s across the sector: Jefferies’ Michael Yee said of 45 major clinical readouts from large and small players, only 20% were positive.”
Clinical holds have also spiked – 2022 is off to a bad start (13 holds in 8 weeks) and could surpass the already bad 2021 (>50 vs. 30 average historically.
The full article offers some explanations of what is going on.
Thoughtful analysis of the venture landscape given the current state of public markets from Redpoint ventures.
The background is – public high performing SaaS firm valuations have fallen below their 10 year average now (see chart).
Past public market corrections led to 10 quarters of decline in venture dollars invested of varying severity. The great recession, for example, saw a 30% fall.
“Currently many companies in private markets (particularly at late stage) are in “price discover” mode in fundraises with everyone trying to figure out market price – rounds are taking longer to get done and “willingness to pay” spreads are wide“
The fund is having a tough start to 2022, but as he says himself.
“The analogy I use is that of the Tour de France, no cyclist has won every stage and they never will. You can’t be a sprinter and win the time trial, they require different physiques. Several times the overall race has been won by someone who didn’t win any of the individual stages. You need to be the best overall, and that’s what we are trying to achieve.“
User generated content has almost taken over from traditional TV.
According to CTA Americans 13 and older spent 16% of their time watching user generated videos (like Youtube and TikTok) while 18% was spent consuming traditional TV content.
Meet levels.fyi – they collect actual like for like data on salaries, benefits, levels etc. for the US tech industry.
They use this to help people negotiate salaries (how they monetise).
Levels recently published a report for 2021 that has some fascinating data (h/t The Diff).
The table attached shows entry level engineer salaries.
Lots of other interesting stats – comp has been rising (generally highest entry-level salaries are growing +3.4% annualised since 2019) and the Bay Area still wins (40% higher than LA for example).
John Foley, founder of Peloton, was so determined that “one of his sales techniques was to have customers test out the bike; he’d give them headphones and turn up the volume so when they talked to him about how much they liked the product they’d end up shouting an endorsement to passersby.“
In the early days of Salesforce “when a competitor was holding an event at Cannes, they booked all the taxis in Nice for the night and had sales reps stationed in each one to pitch their product to people going to the competitor’s event” (h/t The Diff).
These remind me of an old Snippet on how some major consumer apps got their first 1,000 users – often in surprising ways.