A hot nurse stabs one in ur arm. Wohoo! Ur immune to COVID! (ish)
Now how did this lil vax make it from bench to bedside?
👇 1/ Overview
--Pre-launch 2/ FDA stages 3/ Key drivers
--Post-launch 4/ Supply Chain 5/ Trends
--COVID 6/ Price tag 7/ History
1/ US pharma in a nutshell: high capex, highly regulated, long time to profitability.
Recent industry-wide trends (last 5-10yrs):
- Higher cost to bring drugs to market
- Pricing pressure from shift to value-based care
- Decreasing # of late stage pipeline assets
- Consolidation
Today, pharma co's face 3 main types of risk.
Scientific
- 12 yrs avg time to market
- only 0.1% of drugs make it to human testing from preclinical
Economic
- declining ROI
- competition via generics
- patent cliffs
Pharma investment specializes into 2 niches (chronologically).
- pre-launch (before drug is sellable) focuses on scientific & clinical analysis
- post-launch (after FDA approval) focuses on commercialization & marketing
Usually, separate analysts cover each niche at a fund.
Pre- vs. post-launch analysis tracks different catalysts & KPIs.
Pre:
- catalysts are bimodal events around FDA approval (e.g. PDUFA)
- target co’s are startups
Post:
- all about drug adoption curves
- catalysts are M&A & earnings
- diverse target co's (e.g. CMOs, distributors)
2/ Pre-launch: FDA Stages
Getting to market is entirely about gaining FDA approval.
There are multiple stages: preclinical --> clinical - phases I, II, III --> final review/approval.
Below is a diagram & description of the drug development funnel:
Preclinical trials: 3+ yrs, testing on lab animals to gather toxicity & efficacy. Must file IND (investigative new drug application) at the end, summarizing preclinical results in order to initiate clinical testing (0.1% get approved).
Clinical trials: 6+ yrs, testing on humans.
NDAs (new drug applications): submitted after successful human clinical trials, reviewed by AC (advisory committee)
- PDUFA date: deadline for FDA to announce decision
- Usually takes 1-2yrs but can be fast-tracked
- ~6m expedited approval on drugs addressing "high unmet need"
3/ Key Catalysts
- clinical trial results (phases I, II, III)
- AC (advisory) vote results
- PDUFA announcement
- regulatory path clarifications
- "orphan-drug" designation (OD status provides exclusivity for rare disease drugs; benefits: extra 7 yrs of patent protection)
A biotech investor who wishes to stay anon describes how to analyze clinical trials:
- Trial design: is it double blind or open-label?
- Control treatment: is it placebo or head-to-head comparison vs currently available drug?
- Patient selection: is it the right population?
- Endpoints (the specific metric being measured btw. control group & test group in the clinical study):
Diff. diseases have diff. endpoints (e.g. AIDS uses amount of HIV in blood). Is the primary endpoint approvable by the FDA? Did they talk to the FDA before starting the trial?
- Statistical significance: Do p-values indicate a high probability that reported endpoint results were not by chance?
- Opinions of KOLs (outside doctors not participating in trial): Is there unmet need? What do they think of the MoA of the drug? If approved, how would they use?
4/ Post-Market Ecosystem
A drug is FINALLY approved after 10yrs! The original researchers have gone bald. Now what?
Time to make money & reap everything sown/lost to R&D.
Unfortunately (fortunately?) now it's a huge political game: many players with many different incentives.
Here is a flow-diagram showing how each dollar flows through the ecosystem as a drug travels from manufacturer to patient:
Let's look at each component in depth:
Manufacturers split into:
- "Big Pharma" (e.g. Pfizer, Eli Lily, Merck): mostly rely on M&A of small biotechs to fill their asset pipelines rather than in-house R&D, often outsource manufacturing to CMOs
- CMOs: 3rd party manufacturers
- Wholesale/Distributors: hyper consolidated, basically tri-opoly (CAH, ABC, MCK); brokers that maintain relationships w/ both manufacturers & retail pharmacies/hospitals
- Revenues driven by service fees & discounts/rebates from manufacturer for prompt payment & bulk purchasing
- Pharmacies: account for 75% of the prescription drug market. (non-retail providers e.g. hospitals, HMOs, clinics, nursing homes, etc. comprise 25%)
Increasingly consolidated niche. Tp 5 pharmacies accounted for >70% of prescription revenues.
- PBMs (pharmacy benefit managers): negotiate discounts & rebates w/ manufacturers on behalf of clients (health plan sponsors)
Also super consolidated (notice a pattern much?): top 3 PBMs manage benefits for 70% of health plans. Also highly "integrated" w/ rest of supply chain.
Now how is each $1 split across & passed around the ecosystem?
Who gets the best bang for the least amount of sweat? Who has the highest margins?
Who wins when healthcare costs skyrocket past sustainability?
Here are 3 hypothetical transactions that dig under the hood:
5/ Industry Trends
1. Personalized medicine getting hotter; big pharma M&A eyes gene therapy 2. Regulations driving value-based pricing (mostly in an effort to lower prices) 3. Cooling of M&A from 2015 days (after death of cross-border tax inversion) 4. SPACs looking to de-spac
6/ And the biggest trend of all: COVID
Don't know how mRNAs work. Ask the brilliant @enhancerleo.
But I can tell u abt the HUGE gap btw what countries are paying for the vax.
Pfizer: UK £15 per jab; Belgium £10.6; Israel £34
Moderna: US $15, EU $18
AZ: UK £1.56; S. Africa: £3.8
For funzies let's toast to more political leadership faux pas besides Trump:
Best time to learn about gamma squeeze was for $GME.
2nd best time to learn is now. For $AMC.
You don't needa understand gamma, vega, vanna, theta. You just gotta understand 3 simple pictures.
👇
1/ You buy 1 call option.
The market maker (MM) wants to stay "delta neutral" (i.e. zero net long, zero net short exposure).
But he just sold you 1 call. So he's short 1 call (i.e. short 100 shares' worth of exposure).
What does he do now? 😳🥴
2/ Don't worry. Market maker has a solution.
In response to being short 100 shares' risk, he needs to buy back 50 shares of underlying $AMC stock to bring himself back to "equilibrium."
Semis are 🔥🔥 in 2021! But how to trade ‘em?
Hot take: chips are commodities. Trade like oil, not tech.
👇
1 Ecosystem overview
2 Supply chain
3 Key drivers
4 Key Metrics
5 Macro catalysts
6 What's going on in 2021? COVID run-up & sell-off 📈📉
1/ Ecosystem
Semis trade like oil. Calling them "tech" is just deceiving.
What separates gurus from newbs isn’t knowing about wafers. It’s understanding the global value chain & drivers of supply/demand.
Here's a market map of key players & where they sit in the supply chain.
First, slice the ecosystem:
👉by component type (Memory, Logic, µP, Analog)
👉by end-market (Comms, PC, Consumer, Industrial, Auto)
Then identify top players per component product & per end-market.
Then trace demand flow:
from component type (source) ➡️ each end-market (dest).
The analyst next door won't shut up about the weather. "Cloud. Fog. Lakes. $SNOW!"
Soon it'll be animals. "Hive. Pig. Python!"
Welcome to tech, the most confusing sector w/ the most confused investors.
👇
1/ Subsectors
Tech is a vast umbrella, spanning different business models with different go-to-markets, customers & KPIs.
Creating a good market map is the #1 challenge. Go too broad & everything looks like SaaS; go too deep & your brains'll blow out fast.
Here's how i segment the land:
A. Consumer tech:
- internet/mobile apps
- hardware & IoT
B. Enterprise tech:
- SaaS
- services
- infrastructure (software, data, & IT/network)
- hardware & semis
For each subsector I'll cover its business models, metrics, catalysts & multiples.
"Pain+Reflection=Progress" ~Ray Dalio
The post-mortem is the hedge fund PM's leg day: can't skip.
Done right, it's a systematic exercise that mega boosts performance. Yet ppl never explain how to do one.
So @SeifelCapital(CS) & I teamed up
👇
0/ Start with "pre-mortem"
Think back to when u entered the trade. 1. What asymmetric risk-reward opportunity did you see? 2. What catalysts would drive results in ur favor? 3. What risks were u wary of?
We'll do a 2nd follow-up🧵to focus on pre-mortem but here's a sneak peak:
1/ PnL Results
Fast-forward back to today. The catalyst you'd been playing for just happened (e.g. earnings, demo day, FOMC)
Your brokerage acct says +8%.
"So my thesis was correct!" you think.
Not quite.
CS explains "Look at both absolute return & risk adjusted return."
Today's news that CPI surged 4.2% sent equities and crypto markets to hell. But WHY??
What are the mechanics of how inflation affects equities, and why is tech falling hardest?
Here's a thread on inflation's 1st & 2nd order effects.
👇
1/ Inflation Lowers the NPV of Money
Say I'll give u $100 in 1yr. How much 💸is that worth today? If every $1 you invest now can earn 3% interest, then it's worth ~$97.
Let's add hypothetical inflation of 2%. Now the real rate is 5%. So your promised $100 is only $95.
What does lower NPV mean for stock valuations?
If you've done DCFs, you know that the equity value of a company is literally the sum of its cashflows projected out to ♾ then discounted back to today.
You hear about the hottest earnings this week: $UPST, $ABNB, $PLTR, $DIS ... & excitedly tune in to your 1st call.
2min later. "What r they talkin' abt? How does this help me trade??"
So many metrics, which are important?
Here's a guide👇
1/ Pre-call diligence
To know what's going on, u should collect the following info ahead of call:
a. Street estimates on revenue, EBIT, & EPS
b. Latest guidance #'s from mgmt
c. Last 4 quarters' revenue/EPS beats/misses & how the stock reacted
d. Last 4 quarters' QoQ growth #'s
Example:
$DIS reports Q2 '21 results on 5/13
I've pulled actual v. estimated EPS from the last 4 quarters & corresponding stock performance.
Things to note:
- actual EPS consistently beats estimates (which means $DIS mgmt team is conservative about providing forward guidance)