2021年10月21日 星期四

1960-70 年代發生過什麼 ! , 再回過頭看2020 (二)

 

Summary of " The debt Myth" by Stephen kelton

the private sector might be reluctant to increase its indebtedness at various stages of the business cycle. Remember, households and businesses are currency users, not currency issuers, so they do need to worry about how they’re going to make their payments.

most Americans wanted to borrow less, not more. Millions of homeowners were underwater on their mortgages; they owed more than their homes were worth. After a long period of borrowing to finance spending in excess of its income, the private sector wanted relief from debt, not more debt. Without actually using the F-word (fiscal)


What matters is how the overall price of the basket changes from month to month and year to year, and whether average earnings are rising fast enough to keep up with rising prices.

People worry about inflation because it can eat away at their real standard of living. You might have no trouble affording the typical basket of goods today, but if the price of that fixed basket starts rising, you may discover that you can no longer afford to buy it. It depends what’s happening to your income. If the price of the basket keeps going up by 5 percent each year while your annual earnings rise by just 2 percent, then in real (inflation-adjusted) terms you’ll be 3 percent worse off each year. That means a real loss in terms of the actual amount of stuff—real goods and services—you can afford to buy.


A recession that could have been quickly reversed with the right fiscal prescription instead became the longest and most protracted downturn in the post–World War II era. To make sure that never happens again, MMT recommends a shift away from the current reliance on central banks to deliver on the twin goals of full employment and price stability


Functional finance turned conventional wisdom on its head. Instead of trying to force the economy to generate enough taxes to match federal spending, Lerner urged policy makers to think in reverse. Taxes and spending should be manipulated to bring the overall economy into balance. That might require the government to add in (spend) more dollars than it subtracts (taxes) away. It might even need to do this on an ongoing basis, meaning sustained fiscal deficits over many years or even decades. Lerner saw this as a perfectly responsible way to manage the government budget. As long as any resulting deficits didn’t push inflation higher, the deficit shouldn’t be labeled overspending.
這一論點已經受到強烈挑戰, 2021年底10年國債飆升, 2021Q4 零售數字不如預期, 消費者受物價漲高影響, 2022年通膨可能繼續惡化







請先複習一下去年9月這篇

1960-70 年代發生過什麼 ! , 再回過頭看2020 ( 一 )


https://www.cnbc.com/2016/07/15/1959-all-over-again-why-this-could-be-another-historic-moment-for-the-market.html

The following table is sorted by Dividend Yield.

 Stock
 
 

Current Price 

Estimated Dividend
[For the
next year]

 Dividend Yield (%)
 
 

Bar Graph
 

Chevron

113.16

5.4600

4.83

Verizon Communications

53.61

2.5725

4.80

Dow

59.89

2.8000

4.68

IBM

141.90

6.6000

4.65

Walgreens Boots Alliance

48.39

1.9225

3.97

Amgen

209.66

7.5200

3.59

Merck

81.07

2.7600

3.40

3M

182.42

5.9500

3.26

Coca-Cola

54.63

1.7100

3.13

Cisco Systems

56.20

1.5400

2.74

Johnson & Johnson

163.78

4.3600

2.66

Procter & Gamble

141.21

3.7048

2.62

Intel

55.37

1.4425

2.61

JPMorgan Chase

170.84

4.1500

2.43

McDonalds

239.72

5.5200

2.30

Travelers

158.69

3.5800

2.26

Caterpillar

204.19

4.5200

2.21

Goldman Sachs

407.89

8.4000

2.06

Home Depot

358.23

7.0500

1.97

Honeywell International

223.64

3.9200

1.75

Walmart

146.00

2.2300

1.53

UnitedHealth Group

435.09

6.2000

1.42

Disney

170.55

1.7700

1.04

American Express

179.60

1.7200

0.96

Microsoft

307.41

2.4800

0.81

NIKE B

158.45

1.2400

0.78

Apple

149.26

0.9200

0.62

Visa A

231.42

1.4000

0.60

Statistics:
Dow Jones Industrial Average Dividend Yields

 

 

 

 

Maximum Value

 

 

4.83

 

Minimum Value of
Non-Zero Dividend Yields

 

 

0.60

 

Average Dividend Yield (%) of
All Dow Jones Industrial Average Stocks

 

 

2.32

 

Average Dividend Yield (%) of
Non-Zero Dividend Yields

 

 

2.49

 

Standard Deviation of
of All Dow Jones Industrial Average Stocks

 

 

1.39

 

Standard Deviation of
Non-Zero Dividend Yields

 

 

1.28

 

Number of Dow Jones Industrial Average Stocks
in the Statistics

 

 

30

 

Number Stocks with Non-Zero Dividend Yields

 

 

28

 

Number Stocks with Zero Dividends

 

 

2






































https://indexarb.com/dividendYieldSorteddj.html



SPDR Dow Jones Industrial Average ETF - 21 Year Dividend History


https://www.macrotrends.net/stocks/charts/DIA/spdr-dow-jones-industrial-average-etf/dividend-yield-history

2021/10/15 , 10年公債殖利率 



In the history of yield-seeking investments, 1959 was a seminal year — the one in which bond yields and dividend yields flipped. The question investors must now contend with is whether they have finally flipped back.

It may not be one of those years that has widespread recognition among armchair market historians, such as 1929 or 1999, but 1959 was a critical one nonetheless. Before 1959, dividend yields on stocks were reliably above those of bonds. This made all the sense in the world in so far as stocks were seen as a riskier way to generate income; since they don’t come with the legal obligations that adhered to bond payments, dividend yields had to be higher as compensation for risk.


This is the simple explanation for the fact that whenever dividend yields slid to approach bond yields, as they did in 1898 and 1929, stock prices fell or bond prices rose such that the relationship between the one type of yield and the other was maintained.

It is no surprise, then, that when dividend yields approached bond yields again and actually rose above them in 1959, the old Wall Street hands had a clear prediction of what would happen.


2021年10月12日 星期二

2022, It's turn to Financials again ~

 

When the economy strengthens as it did from 2009 to 2011 investors know that the  companies making the most money are those taking advantage of faster economic  growth and these companies are those in the commodity-sensitive sector, not the  financial stocks. This preference is reflected by declining strength of the financial  stocks when the economy improves more rapidly. The other reason the financial  sector is weak when the economy grows faster following a period of slow growth or  recession is because loan demand is weak during such times  


When the economy starts slowing down, as it happened in the beginning of 2011, the commodity-sensitive stock sector performs more poorly (their relative strength  declines) and money flows into sectors with superior opportunities. The financial  sector is one of these sectors (see Fig. 4.4) as loan demand grows more rapidly  because of the growing economy. The outcome is the relative strength of XLF rises  when the economy slows down. This pattern is exactly the opposite of the pattern  displayed by the materials and energy sectors. 


Dagnino, George. EASY WAYS TO BEAT THE MARKET WITH ETFs: 

2021年10月5日 星期二

The beguiling promise of decentralised finance - And its many perils (危險)

 


The earliest adopters of bitcoin, the original cryptocurrency, used it to buy drugs, while cyber-hackers now demand their ransom in it. Hundreds of millions of dollars of ether, another digital money, were stolen this year after hackers found a bug in some code. Many “believers” are in reality trying to get rich quick from the global mania that has seen the value of cryptoassets reach $2.2trn. Others are freakishly devoted. The entrepreneur who announced in June that El Salvador was adopting bitcoin as an official currency sobbed on stage, claiming it would save the nation.


The crooks, fools and proselytisers are off-putting. Nevertheless, the rise of an ecosystem of financial services, known as decentralised finance, or “DeFi”, deserves sober consideration. It has the potential to rewire how the financial system works, with all the promise and perils that entails. The proliferation of innovation in DeFi is akin to the frenzy of invention in the early phase of the web. At a time when people live ever more of their lives online, the crypto-revolution could even remake the architecture of the digital economy.

DeFi is one of three tech trends disrupting finance. Tech “platform” firms are muscling in on payments and banks. Governments are launching digital currencies, or govcoins. DeFi offers an alternative path which aims to spread power, not concentrate it. To understand how, start with blockchains, vast networks of computers that keep an open, incorruptible common record and update it without the need for a central authority.


Bitcoin, the first big blockchain, created in 2009, is now a distraction. Instead, Ethereum, a blockchain network created in 2015, upon which most DeFi applications are built, is reaching critical mass. Its developers view finance as a juicy target. Conventional banking requires a huge infrastructure to maintain trust between strangers, from clearing houses and compliance to capital rules and courts. It is expensive and often captured by insiders: think of credit-card fees and bankers’ yachts. By contrast, transactions on a blockchain are trustworthy, cheap, transparent and quick—at least in theory.


Although the terminology is intimidating (fees are “gas”; the main currency is ether, and title deeds over digital assets are known as nfts), the basic activities taking place on DeFi are familiar. These include trading on exchanges and issuing loans and taking deposits through self-executing agreements called smart contracts. One yardstick of activity is the value of digital instruments being used as collateral: from almost nothing in early 2018 it has reached $90bn. Another is the value of transactions that Ethereum is verifying. In the second quarter this reached $2.5trn, around the same sum as Visa processes and equivalent to a sixth of the activity on Nasdaq, a stock exchange.

The dream of a low-friction financial system is just the beginning. DeFi is spreading to more ambitious terrain. MetaMask, a DeFi wallet with more than 10m users, acts as a digital identity. To enter a decentralised “metaverse”, a looking-glass world with shops run by its users, you link your wallet to a cartoonish avatar who roams around. These digital worlds will become the subject of intensifying competition as more spending shifts online. Big tech firms could impose huge taxes on these mini-economies: imagine Apple’s App Store charging fees, or Facebook selling your avatar’s intimate secrets. A better alternative might be decentralised networks that host applications and are run mutually by users. DeFi could provide payments and property rights.

Crypto-enthusiasts see a Utopia. But there is a long way to go before DeFi is as reliable as, say, JPMorgan Chase or PayPal. Some problems are prosaic. A common criticism is that blockchain platforms do not scale easily and that the computers they harness consume wasteful amounts of electricity. But Ethereum is a self-improvement machine. When it is in high demand the fees it charges for verification can climb, encouraging developers to work on minimising the intensity with which they use it. There will be new versions of Ethereum; other, better blockchains could one day replace it.

Yet DeFi also raises questions about how a virtual economy with its own norms interacts with the real world. One worry is the lack of an external anchor of value. Cryptocurrencies are no different from the dollar, in that they rely on people having a shared expectation of their utility. However, conventional money is also backed by states with a monopoly on force and central banks that are lenders of last resort. Without these, DeFi will be vulnerable to panics. Contract enforcement outside the virtual world is also a concern. A blockchain contract may say you own a house but only the police can enforce an eviction.

Governance and accountability in DeFi-land are rudimentary. A sequence of large irrevocable transactions that humans cannot override could be dangerous, especially as coding errors are inevitable. Money-laundering has thrived in the ungoverned grey zone of services lying between Ethereum and the banking system. Despite the claims of decentralisation, some programmers and app owners hold disproportionate sway over the DeFi system. And a malign actor could even gain control over a majority of the computers that run a blockchain.

Alice’s adventures in DeFi-land

Digital libertarians would prefer that DeFi remain autonomous—imperfect but pure. Yet to succeed it must integrate with the conventional financial and legal systems, as Gary Gensler, a crypto-expert who is America’s financial watchdog, has outlined. Many DeFi applications are run by decentralised organisations which vote on some issues; these bodies should become subject to laws and regulations. The Bank for International Settlements, a club for central banks, has suggested that govcoins might be used in DeFi apps, providing stability.

Finance is entering a new era in which the three novel but flawed visions of tech platforms, big government and DeFi will compete and intermingle. Each embodies a technical architecture and an ideology about how the economy should be run. As with the internet in the 1990s, no one knows where the revolution will end. But it stands to transform how money works and, as it does so, the entire digital world

2021年10月1日 星期五

A giant depart : The mess Merkel leaves behind

 

The list of neglected issues is long (see our Special report). Germany looks like a purring luxury car; pop the bonnet, though, and the signs of neglect are plain to see. The public sector has failed to invest adequately or wisely, falling behind its peers in building infrastructure, especially the digital sort. This hampers not just whizzy new tech firms, but every other company, too


Germany’s most severe domestic problem is a failure to reform its pension system. Germans are ageing fast, and the baby-boomers will place an even heavier burden on the budget later this decade as they retire. On climate change, Germany has also been sluggish, and still emits more carbon per head than any other EU big country, not helped by Mrs Merkel’s shutdown of Germany’s nuclear industry after the Fukushima disaster in Japan in 2011

啊德國本來就歐洲工業最大國, 難不成生產一堆化學原料和高檔車, 碳排放仍然全歐洲最低的, 有可能嗎 !! 

2021年9月28日 星期二

The Pros And Cons Of Cloning 13F’s 投資照抄 避險基金13F 優缺點

 

Toby Carlisle

You can’t see all of the portfolio either because you can’t see international holdings and you can’t see shorts that they have on which you might be looking at half of arbitrage or something like that. And you can’t see any option positions that they have on site. You’re getting one picture of the portfolio. The other, that’s a weird one. And I think I learned this from Meb when I read his book was that you shouldn’t buy the biggest holding, because that’s the one that’s run up the most, I think.

避險基金不會公布short selling部位, 照抄13F 你只是看到基金的一個面向, 另一個面向你可能不知道 . 你不需要一定跟風 基金最大的投資部位, 那只是他們最大的持有部位, 就單純這樣意義



Wes Gray

As you say, we’ve done our own research on this, because we’ve always had big family offices asked about doing this strategy. And to your point, Toby, the irony is you don’t want to actually conviction(信仰) weight in accordance with how the actual managers weighed them. You generally want to own their smaller, tiny positions. That’s actually where they get the most mojo. It’s not usually their biggest position, typically, because I like tracking error concerns, or capital allocation concerns, or other things that are actually unrelated to how much actual conviction, and more related, arguably, with the incentives of asset management business.

 你反而要注意基金裡面持有較小的部位, 反而往往是他們獲利的真正來源 (mojo)

 

 

Wes Gray

Well, there’s always out performance because, generally, to Toby’s point, when people pick their baseball players, they focus on people that are performed well after the fact. So obviously, if you clone holdings of people that you choose as your baseball players, they usually choose baseball players that have hit homeruns, not necessarily those that strike out all the time. So obviously, the back tests are incredible. [inaudible 00:11:57] is a danger in the first place. So then the empirical question is, okay, great, we know they all work, but how do we extract the most, quote unquote, alpha, or kind of ride the cocktail value looking at these 13F positions?

 

 

Wes Gray

The other thing we did was, we talked about it in our book, Toby and I’s book, back in the day, then we formally looked at it. You can also look at these names in 13Fs and then map them back to their fundamental factor characteristics. And the question is like, okay, well, if they have 13F conviction, and they happen to look good on whatever you like, value, quality, whatever the heck it is, that’s certainly an additive measure at the margin. You want to do a 13F name, but then also identify that it has low momentum, and it’s a total piece of junk, and it’s the most expensive stock in the world. That’s probably not a great idea, but using 13F is like potential marginal contributor to a factor portfolio. I want to tell someone that’s a bad idea. That seems reasonable to me.

 

Jake Taylor

One other point that I think is important is I will often kind of bias towards managers who I know have an activist bent, because then there are other levers to be going on at the corporate level that can make a difference, and it’s not necessarily just a sort of passive holding.

 

Toby Carlisle

Yeah, I like that.

 

Stig Brodersen

Yeah. Going into this I was so excited about asking that question. I’m really happy you guys are setting me straight. So I do want to say for the record, though, to I think it was Toby’s point about how much the trader, if not it was Jake. I would say that if you do that, someone who is really interesting to follow would be someone like Mohnish Pabrai. He doesn’t trade a lot. Sometimes it can even go years in between and he has a huge international portfolio and not a lot of US stocks. And like he used to say, “There’s 1,000 reasons why people sell a stock, but there’s typically just one reason why they buy a stock.” And I think that’s definitely a pivot for him, but I can easily see why it might not be applicable for everyone else. And we shouldn’t fall into that trap.

 

source : https://acquirersmultiple.com/2021/03/wes-gray-tobias-carlisle-jake-taylor-the-pros-and-cons-of-cloning-13fs/