[THREAD]

Bill Miller (@B3_MillerValue) is one of this generation's best investors.

There's 3 things we can learn from him:

1. Free cash flow above all else
2. Disregard investment style labels
3. Buy at points of lowest market expectations

Let's go!

macro-ops.com/bill-miller-le…
1/ FCF Is King

A biz is worth the sum of its future FCFs discounted back to the present.

Miller examines things like:

- LT economic model
- Quality of assets
- Management
- Capital allocation record

He wants to buy >6% FCF yields.

Important: Growth < COC = bad investment
2/ No Labels Investment Approach

The thing I love about Miller the most is his disdain for investment labels.

It's not Growth vs. Value for him. It's paying less than what a biz is worth. Period.

In doing this, Miller avoids investing in value traps because "they're cheap"
3/ Buy At Lowest Expectations

Miller notes one shared trait amongst his best winners: He bought at points of low expectations.

Profits are made on the gap b/w how a company performs and how it's expected to perform.

The wider that gap, the more profits.

h/t @mjmauboussin
3a/ Another Point on Expectations

Miller says that a great idea can come from being MORE optimistic about a great biz than market.

Alpha doesn't have to come from buying s**t that turns to diamonds. It can come from higher expectations on a great biz than others.

Think big.
4/ Creating A Bill Miller Strategy

How can we implement this style? Investors can follow Miller's footsteps by:

- Focusing on FCF (now or in future) above all else
- A global style mandate w/out labels
- Paying for those CFs at points of lowest expectations
- LT time horizon

• • •

Missing some Tweet in this thread? You can try to force a refresh
 

Keep Current with Brandon Beylo

Brandon Beylo Profile picture

Stay in touch and get notified when new unrolls are available from this author!

Read all threads

This Thread may be Removed Anytime!

PDF

Twitter may remove this content at anytime! Save it as PDF for later use!

Try unrolling a thread yourself!

how to unroll video
  1. Follow @ThreadReaderApp to mention us!

  2. From a Twitter thread mention us with a keyword "unroll"
@threadreaderapp unroll

Practice here first or read more on our help page!

More from @marketplunger1

2 Dec
[THREAD]

Let’s learn about Mr. Market’s latest AI IPO: C3 AI

C3 allows companies to develop, test and run full-scale, real-time enterprise AI applications.

The company’s led by one of the sharpest founders/CEOs in the game, Thomas Siebel.

Let's learn🚀
macro-ops.com/c3-ai-mr-marke… Image
1/ Executive Leadership

C3 is led by Tom Siebel, one of the sharpest founders in this space.

His resume includes:

- Helping Oracle reach $1B in revenues
- Starting Siebel Systems which did $2B in revs in 6 years

Here's Siebel's reasons for starting C3 (hint, not about $) Image
2/ Culture Matters

C3 has one of the best Glassdoor ratings/reviews I've seen:

- 89% approve of CEO
- 92% would recommend co. to friends
- 4.6/5 stars w/ 338 reviews

Employees rave about three things:

- Meaningful work
- Tough challenges
- Great incentives (paid learning) ImageImage
Read 21 tweets
5 Nov
5/ Example of Great AI Company: Stitch Fix

Defensible Data: Personalized style data from previous $SFIX orders

Problem Solved: Predict what customers will want/not want

Moat: Only $SFIX has access to its data. This makes the product better for everyone

Here's @bgurley's take:
6/ The 4 Quadrants of AI Application

AI has four unique stages of industry application:

1) Transition: high penetration + low scale
2) Germination: low penetration + low scale
3) Growth: low penetration + high scale
4) Developed: high pen/scale

source: Deloitte white-paper
7/ Which Industries Fit In Each Quadrant?

Deloitte has a killer chart showing which industries fall in each quadrant (see below).

We're (@MacroOps) focusing on these four industries:

1) Retail
2) Healthcare
3) Education
4) Finance

Let's highlight the first two ...
Read 7 tweets
5 Nov
[THREAD]

Artificial Intelligence (AI) is one of the most attractive & exciting spaces in the investment universe.

The potential moats, business models and solutions are tantalizing.

Here's what makes a Great AI company, and where we can find them 👇
macro-ops.com/great-ai-compa…
1/ What Makes A Great AI Company?

Will Vorheis wrote a great piece on this. It boils down to one thing:

- Data Dominance

What this means: A company has a virtual monopoly on the data it needs to train its model

Remember: The best data = the best model = better data/model
2/ AI Companies Need The Right Data

Data for data's sake isn't enough. To create a *true* moat you need the *right* kind of data. Defensible Data!

Defensible Data has two factors:

- It's specific (the more niche the better)

- Solves an actual problem (not a theoretical one)
Read 4 tweets
3 Nov
[THREAD]

I loved @ARKInvest 2020 Bad Ideas Report.

Great way to red-team conventional "value-based" ideas.

Here's the 5 Bad Ideas:

1. Physical Banks
2. Brick & Mortar Retail
3. Linear TV
4. Freight Rail
5. Traditional Transport

source: bit.ly/3l0FXQw

Let's learn Image
1/ Physical Banks

Why it's bad: "The cost burden that branches place on traditional banks is increasing while their utility is decreasing."

What's better: "In contrast, digital wallets are acquiring millions of customers at a cost 98% lower than that for banks" Image
2/ Brick & Mortar Retail

Why it's bad: "If square feet were to stabilize at current levels, brick and mortar retail sales would continue
to fall as e-commerce takes share. Roughly
$1 trillion worth of real estate would have to be repurposed by 2025."

What's better: E-commerce Image
Read 7 tweets
29 Oct
COVID has caused global indices to post poor YTD returns:

- FTSE 100: -26%
- Nikkei 225: -1.37%
- DAX: -12.14%

Yet one index is just crushing it:

- Japan's Mothers Index: +37%

It's one of the most under-fished corners of the market.

Let's learn 👇

macro-ops.com/japans-mothers…
1/ What is The Mothers Index (MOS)?

- The name stands for "Market of the high-growth and emerging stocks.

- It's venture capital-type companies in public markets.

- These are SMALL biz (@iancassel enters chat) w/ average market cap of $10M USD

- Dominated by ST traders
2/ What You Can Buy There

What gets me excited about the MOS is the type of companies available.

Most companies on the MOS involve one of the following:

- Telemedicine
- Robotics
- Ecommerce
- Artificial Intelligence
- Teleworking
- Cloud Servicing

No wonder its up 40%!
Read 12 tweets
22 Oct
Murata (6981) is the world’s largest producer of multi-layer ceramic chips (MLCCs) with over 40% market share.

Bull thesis: The company’s main revenue source (MLCCs) will see a demand explosion from two sources: EV and 5G

Here's what you need to know 👇
macro-ops.com/murata-manufac…
1/ The MLCC Demand Boom is Coming

- Required no. of MLCCs went from 3K in 2012 to 8K in 2018

- EV Batteries will require 30K MLCCs

- Smartphones will need 1.5x more MLCCs in 2024 than today

- MLCC supply will be 6x higher (6.1 trillion!) by 2025

Here's what MLCCs do ... ImageImageImage
2/ Murata: The Best Way To Play The Demand Surge

- Started w/ $102K in capital, now does $14B in revenues

- 40% Share of Global MLCC market

- Churns out 150B MLCC pieces per month

- 77K employees and 92 subsidiaries around the globe

There's three reasons Murata will win ...
Read 8 tweets

Did Thread Reader help you today?

Support us! We are indie developers!


This site is made by just two indie developers on a laptop doing marketing, support and development! Read more about the story.

Become a Premium Member ($3/month or $30/year) and get exclusive features!

Become Premium

Too expensive? Make a small donation by buying us coffee ($5) or help with server cost ($10)

Donate via Paypal Become our Patreon

Thank you for your support!

Follow Us on Twitter!