Category: lenS & thoughtS

Tencent x Ubisoft: a new model?

Ubisoft created a new entity and put valuable assets into it.

Tencent put money into this new entity and got 25% ownership.

While Ubisoft’s shareholder got nothing, Tencent can do more with the important IPs like Assassin Creed.

Maybe there is a limit on how much Tencent can buy into Ubisoft. Maybe the possibility of Ubisoft being acquired is low due to France regulation, not due to Tencent’s previous investments.

Probably it’s the complications and regulations around the world are making those deal structure necessary. Capital is not allowed to buy anything it interested in.

So.. on the positive side, will this model serve as a template for TikTok US?

ByteDance inject some assets  (TikTok US) into a new entity, and new investors inject money or assets into the new entity, so that the new ownership structure can satisfy both US and China’s demands?

China’s fixed asset investments: smaller discrepancy and better numbers vs 2023

Found another closing discrepancy in reported numbers.

These were the reported numbers for fixed asset investments (excl. rural) between 2020 and 2024.

The 2023 number has the biggest difference. If you directly compare 503,036  and 572,138, that’s dropping -12% yoy. Yet, the reported yoy was +3%.

This resulted in a 15% gap in yoy percentage number for 2023.

That gap has been shrinking to less than 1% in 2024, with +3.2% reported for 2024 fixed investments, compared with +2.3% in calculated comparison.

In 2024, the investment in the water conservancy management industry increased by 41.7%, investment in the air transportation industry increased by 20.7%, and investment in the railway transportation industry increased by 13.5%.

Those are some big % numbers. If you compare some headline numbers, e.g. water conservancy, the growth should be 13%, rather than 42%.

  • 2023年全年完成水利建设投资11996亿元
  • 2024年完成水利建设投资13529亿元

Maybe 2023 was indeed a lower base than reported.

Anyways, the picture in 2024 indeed looks better.

To be greedy when other are fearful

If there is one thing we should learn from China’s equity market in the past few years, it’s to be greedy when other are fearful.

China’s equity, on the index level, dropped double-digit for 3 consecutive years from 2021 to 2023. The table below summarizes the performance of MCHI, the ETF that tracks MSCI China Index.

Some of the headwinds China had were structural. So you can’t expect a quick turn around.

But when things do turn, and when valuation is very reasonable, it’s hard to ignore.

Now the question is, with a few weeks of correction, has the US stock market become attractive enough? Are most market participants fearful?

Source: yardeni

We better ask Buffett if he still suggests buying S&P 500 at this valuation.

So, investors think tariff is negotiation tool?

Tariff is not an unknown factor.

Trump talked a lot about tariff during campaign and after election.

However, stock market was buoyant until recently.

The most common excuse? Investors thought tariff is just an negotiation tool that won’t be implemented.

That sounds reasonable, but actually it doesn’t make any sense.

Let me explain.

If stock market reflects the common wisdom and it doesn’t go down, then it means everyone assumes tariff threat is not that real.

Then why should the negotiation be effective?

Governments are not fools. Like in poker, if they think Trump is just bluffing, they would call.

The stock market almost sells Trump out if it doesn’t fall.

So, if US wants to be considered serious on the negotiation table, stock market must fall.

Why?

Because you need to let everyone know tariff is real. Every company needs to talk about it. Investors need to be panicking about it. When investors are really worried, they sell, even with losses.

Stock market drop is a manifesto that everybody realizes the tariff can be as real as the losses in their retirement accounts.

That’s when the “negotiation tool” is effective.

Nvidia GPUs as financial products

Nvidia GPUs can be used as collateral to borrow. Financial Times reported that $11 billion of loan was created for these chips.

That’s something too creative for me.

I think it’s generally safe to borrow against assets with a growing value.

Chips, however, are like cars to me, depreciating… with new versions better than the previous one.

Well, it seems you can borrow against your car, but that’s still based on your ability to pay back the loan.

So how does it work?

Maybe it’s actually a loan borrowed against the “service contract” or rental agreement carried by the chips, which makes it more like an asset with “yield”.

But still, this market sounds a bit too arbitrary…

Hard to imagine that the rental income will be stable or rising, as Nvidia chips supply is up to Nvidia and TSMC. That capacity can increase over time.

DeepSeek is the poster child of Chinese special situation

DeepSeek provides unparalleled cost-efficiency – cheap and good.

DS is a typical “China” thing, propelled by limited resources – in this case, limited advanced chips.

This is just not the way that US companies usually pursue – US shall go for the best performance, with unlimited resources ideally.

How wonderful the world balances itself.

How amazing is (incremental) profitability at Meta?

For the past 8 quarters (2023 & 2024), incremental gross profit margin is well above 80%, more like 90%.

This is easy to understand, e.g. one more successful ads sale (click etc.) on Instagram won’t cost Meta more.

What’s even more amazing is the incremental operating profit conversion, which on average is like 100% for the past 6 quarters!

What does 100% mean? It means one dollar of additional gross profit earned by Meta was converted into one dollar of operating profit – how amazing is that!

The operating profit margin increased from 20% in 2022 Q4 to 48% in 2024 Q4, growing at 91% CAGR.

Although there were some one-off opex optimization efforts, thus incremental operating margin should definitely fall, it’s still a very very powerful business franchise, demonstrated by this amazing incremental earnings power.

Music in AI age should focus on memorable experiences

Back in 2016, I saw this day coming – AI is creating music that is really good.

However, I like natural “things”.

How to have more human elements?

I would argue live concerts are more “human”.

The unique performance, the friends and family who join you, the broader audience, even the historical background, could make a concert a more meaningful experience than any song.

That piece of memory is unique – it’s hard to replicate the exact same “experience”. Even if the singer may perform similarly across concerts, the audience is different. And audience is part of the whole performance.