🇨🇳Evergrande's Backstory🇨🇳

🌎 The world demands answers.

From Fortune 500 to 1.95 Trillion in debt: How did China's #2 real estate giant get to this point?

How much cash does it *actually* have?
Will there be a bailout?
Who's gonna get f*cked?

Here goes. Story time.
👇
1/ First, how bad is the current situation?

There's not much info on Evergrande's finances on the Western web (aka Google) so I had to dig through the Chinese web (aka Baidu).

This poster shows China's top 3 most indebted real estate co's in 2020:

#1 is Evergrande (@ 1.95T ¥!) #2 is Country Garden #3 is Vanke
2/ According to the company's 2020 annual report, 674B ¥ (35%) is interest-bearing debt, which means it incurs new interest liability of 180+M ¥ every day!

Comparatively, it only has 158B in cash to repay all its short term debt + interest which means...

Major defaults to come.
3/ How did Evergrande land in such a shitty position?

To start, real estate developers are notoriously known to have terrible (i.e. long) cash conversion cycles. Long CCC means the company has tons of cash tied up in accounts receivables and/or inventory & therefore not "free."
4/ Real estate companies tend to have long CCCs because it takes many months per project to get from an empty piece of land to a marketable building. All the while, construction is extremely capital intensive and the company needs to hold a ton of inventory & equipment.
5/ But while Evergrande was already disadvantaged from the get go due to the nature of its industry, mismanagement at the exec level certainly exacerbated its cash problem 100x.

Allegedly Evergrande spends 1-2B yuan on football every year. And in the last 10 yrs, it burned >20B.
6/ But it didn't just stop at football.

The "real estate dev" also established an entire subsidiary for electric vehicles ("Evergrande Auto"), another for streaming media ("Hengten Networks"), an amusement park ("Evergrande Fairyland") & health chain ("Evergrande Spring").

Wut?
7/ By 2020, Evergrande had erased 75% of all operating income (EBIT) compared to 2018. EBIT in 2020 was only 95B ¥ compared to 355B ¥ just 2 years prior.

Furthermore, gross margins had also dropped >10% from 36% in 2018 to 24% in 2020.
8/ Then on July 19, 2021, China's Guangfa Bank (one of Evergrande's biggest lenders) ordered a freeze on 132M RMB in deposits.

Two more banks (Hang Seng Bank & Bank of East Asia) then suspended new mortgages for Evergrande’s 2 new projects in HK.

The house of cards was falling.
9/ When are Evergrande's current debt obligations due?

According to the schedule below, a significant chunk (335B) is due end of 2021 & another (166B) end of 2022 -- exact dates not specified.
10/ Does Evergrande have enough cash+EBIT to meet its interest + principal obligations for all shareholders?

No.
11/ What does the seniority waterfall look like? Who gets paid first? Who gets paid last?

1. the state (Evergrande's bank loans are state-owned assets & must be redeemed before all else)
2. suppliers (mostly in the form of commercial paper redemptions)
3. investors
4. employees
12/ So what can Evergrande do now?

1. Liquidate existing assets (i.e. land) for cash
2. Restructure contract terms to push out maturity
3. Debt to equity swaps
4. Sell more equity
5. Declare bankruptcy
6. Wait for bailout
13/ Who wins & who gets f*cked under each scenario?

It's quite simple.

The state always wins because it'll be first to get paid and will always be able to force management to make decisions at the expense of every other stakeholder group.

Everyone else gets f*cked.
14/ Here are the primary source documents I used in my research in case anyone wants to do further digging:

2020 annual report (not a 10K because China doesn't abide by GAAP accounting): doc.irasia.com/listco/hk/ever…

baijiahao.baidu.com/s?id=170576305…

163.com/dy/article/GK4…

Happy weekend! 😃

• • •

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

Keep Current with Ming Zhao

Ming Zhao 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 @FabiusMercurius

13 Sep
Met a guy at a party this weekend.

He was fine until,
Guy: "U were Columbia 2016? What was ur 5-Year reunion like?

Did y'all sit around figuring out who's the most successful?"

My stomach dropped. Something vile was bubbling in my throat-- the toxicity dizzying.

Story time 👇
He was a Columbia 2019 so maybe it was self-deprecating humor?

Well not funny. A revolving door of emotions passed between us.

First, disgust. Why the fuck would we come all this way just to whip out our dicks & size each other up?

Second, denial. Dude musta had no friends.
People like him were the exception, not the rule.

Third, sympathy. Should I feel bad for him?

Fourth, realization. Damn, this guy... was all of us.

Fifth, disgust. Why the fuck did we come all this way just to whip out our dicks and size each other up?
Read 11 tweets
11 Sep
🥬Kimchi Premium & Hidden Arbitrage🥬

On Jan 8, 2018, a man made $1.5B trading BTC in Korea.

BTC price was $25K in Korea.
But $16K elsewhere in the world.

57% arbitrage opportunity! WHAT?! This trade became infamously known as the Kimchi Premium.

Here's the full story:
👇
1/ How it started

It was not always this way.

Back in Jan 2017, BTC hovered at $2K. Crypto prices between Korea & elsewhere was not that different.

By Dec 2017, BTC had soared 10x to $20K. Unknown to most of us, there was an even madder dash to panic buy in Korea than the US.
Suddenly S. Korea was trading 20% of all global BTC volumes on any given day. The "Korean Housewife Trader" became a meme.

Such localized trading frenzy caused local BTC prices to diverge from 1% premium to 10% to 30%...

At 30%, (even) CNN took notice:
money.cnn.com/2017/12/12/tec…
Read 11 tweets
4 Sep
👩‍❤️‍👨 Dating + Investing: The Same Game? 👩‍❤️‍👨

Men want 2 things.

1. Hot date 🔥 (or several)
2. Hot portco 🦄 (or several)

Turns out:
There's a famous game theory algorithm that maximizes ur chances of finding both.

It's called ...
👇
1/ What is the Secretary Problem?

Imagine ur in HR.
U wanna hire the best secretary from N applicants. So u interview them 1 by 1 until u decide to accept one. Rejected candidates can't be resurrected.

What strategy maximizes ur chances of choosing the BEST?

[code @ end of 🧵]
Now replace "ur in HR" with
"ur a normal guy" (or girl).

Replace "secretary" with
"hot date" &/or "hot portfolio company🦄."

The strategy that maximizes for the BEST secretary also maximizes for the BEST gf/bf also maximizes for the BEST investment. 🤯

So what is it? 🤖
Read 15 tweets
28 Aug
🏭Ray Dalio’s Economic Machine🏭

In 1983, McDonalds struggled to launch the McNugget. Chicken volatility was too high.
"How can we set fixed prices w/out risking billions?"

Hedge funder Ray Dalio cracked the code.

Here's how his economic machine solved McDonald's 🐥problem.👇
1/ What is the Economic Machine?

Before talking about 🐥s, let's take a quick intro ride through Dalio's core macroeconomic insight:

While seemingly complex, the economy is mechanically & predictably driven by human nature.

i.e. Everything from debt cycles to GDP is a machine.
3 Forces drive Dalio’s economic machine:
#1 Productivity growth
#2 Long Term Debt Cycle
#3 Short Term Debt Cycle

The diagram above shows these 3 forces together in action.
#1 is shown by the monotonically increasing curve.
#2 wiggles sinusoidally along #1.
#3 wiggles along #2.
Read 12 tweets
25 Aug
📋Common Finance Interview Questions📋
(and How To Nail Them)

Bankers/traders/PMs have attention spans of 🪰s.
Trip on your tongue & there's 50,000 hungrier candidates behind you.

Spinoff 🧵 of @SahilBloom's 20 questions (bit.ly/3kvqzfY) but tailored to Wall Street.
👇
1/ “Why this company?”

"3 reasons."
Start here. It shows (a) ur organized (b) u've done ur homework.

Example:
#1: "Ur the best at [restructuring/techM&A/derivatives]!"
#2: "I read about X deal & I wanna help on the next one!"
#3: "My buddy X from LevFin says culture is great."
Why was that a good answer?
#1 strokes ur interviewer's ego; s/he will like u more & whatever u say next will sound 2x better
#2 shows ur excited! (i'm convinced half the reason banks hire undergrad interns is for their energy)
#3 - shows ur an insider/ already 'one of the guys'
Read 15 tweets
21 Aug
🎚️ What is Risk Premia? 🎚️

Be honest: Are u a GOAT trader?

Or did you just make 40% returns being long tech stocks through COVID? What is a good way to assess one's trading performance anyways?

In this 🧵 let's deep-dive on α, β, & their importance in measuring returns.
👇
1/ Return = Risk free rate (Rf) + Beta (β) + Alpha (α)

🔑 This is the central equation of this thread.

🔑 Learning to accurately attribute your total return between Rf, β, and α is key for traders to accurately assess their performance.

Let's start at the bottom then move up.
1/ Risk Free Rate -- small risk, small reward

Think about a super safe way to make a little return: ur savings account. Deposit cash, get 0.4% APY.

Treasuries investing is the same deal & even safer. Example: 3 month T-bills. Deposit cash w/ the gov, get 0.07% back in 3 mo.
Read 12 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!

:(