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傳奇投資者稱,美股崩盤概率有70%,且其慘烈程度將與1929年股災(zāi)相當(dāng)

Eleanor Pringle
2023-07-07

英國(guó)億萬富翁杰里米·格蘭瑟姆的悲觀預(yù)測(cè)經(jīng)常被證明是正確的。

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GMO聯(lián)合創(chuàng)始人杰里米·格蘭瑟姆稱股市崩盤和經(jīng)濟(jì)衰退并不遙遠(yuǎn)。圖片來源:DANIEL ACKER—BLOOMBERG/GETTY IMAGES

一位對(duì)大規(guī)模股災(zāi)有深入了解的傳奇投資者表示,美國(guó)股市即將泡沫破滅,其慘重程度將不亞于1929年和2000年的股災(zāi)。

英國(guó)億萬富翁杰里米·格蘭瑟姆是投資管理公司GMO的聯(lián)合創(chuàng)始人,據(jù)報(bào)道,該公司管理的資產(chǎn)接近650億美元。

格蘭瑟姆的個(gè)人資產(chǎn)預(yù)計(jì)為10億美元。他之前估計(jì),美國(guó)股市崩盤的概率為85%,之后他將這個(gè)概率下調(diào)至70%。

盡管他認(rèn)為美國(guó)股市崩盤的概率下降,但他相信美國(guó)股市創(chuàng)造了一場(chǎng)泡沫破滅的完美風(fēng)暴,例如資產(chǎn)價(jià)格,不過他表示,人工智能的出現(xiàn)推遲了泡沫破滅的時(shí)間。

在上周末發(fā)布的《WealthTrack》對(duì)他的采訪中,擅長(zhǎng)制定長(zhǎng)期投資策略的格蘭瑟姆稱,近十年來,美國(guó)股市從“近乎完美”的環(huán)境中受益。

他說:“我只對(duì)大規(guī)模股市泡沫感興趣,比如1929年、2000年和2021年,這是美國(guó)股市最嚴(yán)重的三次泡沫。我們已經(jīng)符合了所有條件?!?/p>

格蘭瑟姆目前經(jīng)營(yíng)以其自己的名字命名的家族基金會(huì),該基金會(huì)專門從事綠色投資。他表示,這些“條件”是指長(zhǎng)期經(jīng)濟(jì)上行周期、強(qiáng)勁的牛市和收益等。

在這些情景下,格蘭瑟姆指出,之后市場(chǎng)都經(jīng)歷了“急速下跌”。

1929年的黑色星期四(Black Thursday),單日有140億美元資金從股市蒸發(fā);2000年,納斯達(dá)克(Nasdaq)在不到兩年內(nèi)下跌76.81%;2021年,納斯達(dá)克下跌10%。

格蘭瑟姆提到今年6月的標(biāo)準(zhǔn)普爾500指數(shù)(S&P 500)較去年10月的低位上漲20%。他表示,在他預(yù)測(cè)的股市崩盤之前的股市反彈是“必然的和恰當(dāng)?shù)摹薄?/p>

格蘭瑟姆的悲觀預(yù)測(cè)經(jīng)常被證明是正確的。

兩年前,格蘭瑟姆也曾經(jīng)告訴《WealthTrack》,他預(yù)測(cè)股市會(huì)出現(xiàn)“史詩級(jí)”的泡沫,因?yàn)槎鄠€(gè)不同市場(chǎng)出現(xiàn)了極端交易,例如房地產(chǎn)市場(chǎng)、“網(wǎng)紅股”市場(chǎng)和價(jià)格極低的債券市場(chǎng)等。

一年后,許多資產(chǎn)都經(jīng)歷了大規(guī)?;卣{(diào),比如影業(yè)公司AMC等網(wǎng)紅股在夏天大幅下跌。

考慮到這種內(nèi)爆的影響嚴(yán)重程度不一,既有可能與1929年的股災(zāi)相當(dāng),也有可能與2000年“不太嚴(yán)重的”經(jīng)濟(jì)衰退類似,因此格蘭瑟姆質(zhì)疑:美國(guó)經(jīng)濟(jì)將以多快的速度陷入衰退,經(jīng)濟(jì)衰退將持續(xù)多長(zhǎng)時(shí)間?利潤(rùn)率會(huì)下降到什么程度?

“利潤(rùn)率已經(jīng)大幅下降,但情況可能更加嚴(yán)重。其他經(jīng)濟(jì)變量會(huì)有哪些變化,例如全球貿(mào)易問題、與中國(guó)的摩擦、戰(zhàn)爭(zhēng)危機(jī)等。這些因素會(huì)產(chǎn)生哪些影響?現(xiàn)在很難預(yù)測(cè)?!?/p>

人工智能“迷你泡沫”

格蘭瑟姆稱,科技行業(yè)的顛覆性技術(shù)引發(fā)的所謂迷你泡沫,“擾亂了”他的預(yù)測(cè)。

微軟(Microsoft)等公司的股價(jià)暴漲。微軟在今年4月召開的營(yíng)收電話會(huì)議上提及了50次“人工智能”。

Meta自從宣布將業(yè)務(wù)重心從元宇宙轉(zhuǎn)移到人工智能產(chǎn)品和服務(wù)之后,也得到了類似回報(bào),其首席執(zhí)行官馬克·扎克伯格憑借在Meta持有的股份,個(gè)人財(cái)富暴漲約400億美元。

格蘭瑟姆說,他目前并不確定人工智能是否“發(fā)展速度足夠快和足夠強(qiáng)勁”,能夠避免股市泡沫破滅。

這位投資專家表示,他之所以將股市崩盤的概率從“可怕的”85%下調(diào)到70%,是因?yàn)镃hatGPT等技術(shù)的出現(xiàn)。

然而,他認(rèn)為人工智能引起的股市反彈只涉及一個(gè)小眾市場(chǎng)。他解釋道:“誰都知道,在人工智能出現(xiàn)之前,情況已經(jīng)非常復(fù)雜。我們要面對(duì)通貨膨脹,還有美聯(lián)儲(chǔ)(Federal Reserve),我們要考慮利率會(huì)以多快的速度上漲以及會(huì)有多大上漲幅度,還要考慮戰(zhàn)爭(zhēng)的后續(xù)影響等?!?/p>

“自從ChatGPT發(fā)布以及去年10月和11月以來,迅速引起了人們的興趣,而且人們關(guān)注的領(lǐng)域非常集中?!?/p>

格蘭瑟姆指出,關(guān)于人工智能技術(shù)將對(duì)市場(chǎng)行情產(chǎn)生多大影響,不同的人會(huì)有不同看法。他表示,關(guān)于人工智能技術(shù)對(duì)社會(huì)的影響,存在著各種不同的意見。

格蘭瑟姆說:“一些地球上最聰明的人認(rèn)為人工智能沒有意義,它只是通過試錯(cuò)學(xué)習(xí)的鸚鵡而已。還有人認(rèn)為人工智能會(huì)改變一切,它將提高生產(chǎn)率,并在諸多方面帶來改善。”

格蘭瑟姆認(rèn)為,人工智能的發(fā)展過程,與他預(yù)測(cè)的近期泡沫的演變過程并不一致:“距離傳統(tǒng)泡沫破滅、傳統(tǒng)的經(jīng)濟(jì)衰退、傳統(tǒng)的利潤(rùn)率下降以及股市暴跌,還有一兩年時(shí)間。這些情況可能發(fā)生在人工智能真正產(chǎn)生影響之前。”(財(cái)富中文網(wǎng))

譯者:劉進(jìn)龍

審校:汪皓

一位對(duì)大規(guī)模股災(zāi)有深入了解的傳奇投資者表示,美國(guó)股市即將泡沫破滅,其慘重程度將不亞于1929年和2000年的股災(zāi)。

英國(guó)億萬富翁杰里米·格蘭瑟姆是投資管理公司GMO的聯(lián)合創(chuàng)始人,據(jù)報(bào)道,該公司管理的資產(chǎn)接近650億美元。

格蘭瑟姆的個(gè)人資產(chǎn)預(yù)計(jì)為10億美元。他之前估計(jì),美國(guó)股市崩盤的概率為85%,之后他將這個(gè)概率下調(diào)至70%。

盡管他認(rèn)為美國(guó)股市崩盤的概率下降,但他相信美國(guó)股市創(chuàng)造了一場(chǎng)泡沫破滅的完美風(fēng)暴,例如資產(chǎn)價(jià)格,不過他表示,人工智能的出現(xiàn)推遲了泡沫破滅的時(shí)間。

在上周末發(fā)布的《WealthTrack》對(duì)他的采訪中,擅長(zhǎng)制定長(zhǎng)期投資策略的格蘭瑟姆稱,近十年來,美國(guó)股市從“近乎完美”的環(huán)境中受益。

他說:“我只對(duì)大規(guī)模股市泡沫感興趣,比如1929年、2000年和2021年,這是美國(guó)股市最嚴(yán)重的三次泡沫。我們已經(jīng)符合了所有條件?!?/p>

格蘭瑟姆目前經(jīng)營(yíng)以其自己的名字命名的家族基金會(huì),該基金會(huì)專門從事綠色投資。他表示,這些“條件”是指長(zhǎng)期經(jīng)濟(jì)上行周期、強(qiáng)勁的牛市和收益等。

在這些情景下,格蘭瑟姆指出,之后市場(chǎng)都經(jīng)歷了“急速下跌”。

1929年的黑色星期四(Black Thursday),單日有140億美元資金從股市蒸發(fā);2000年,納斯達(dá)克(Nasdaq)在不到兩年內(nèi)下跌76.81%;2021年,納斯達(dá)克下跌10%。

格蘭瑟姆提到今年6月的標(biāo)準(zhǔn)普爾500指數(shù)(S&P 500)較去年10月的低位上漲20%。他表示,在他預(yù)測(cè)的股市崩盤之前的股市反彈是“必然的和恰當(dāng)?shù)摹薄?/p>

格蘭瑟姆的悲觀預(yù)測(cè)經(jīng)常被證明是正確的。

兩年前,格蘭瑟姆也曾經(jīng)告訴《WealthTrack》,他預(yù)測(cè)股市會(huì)出現(xiàn)“史詩級(jí)”的泡沫,因?yàn)槎鄠€(gè)不同市場(chǎng)出現(xiàn)了極端交易,例如房地產(chǎn)市場(chǎng)、“網(wǎng)紅股”市場(chǎng)和價(jià)格極低的債券市場(chǎng)等。

一年后,許多資產(chǎn)都經(jīng)歷了大規(guī)模回調(diào),比如影業(yè)公司AMC等網(wǎng)紅股在夏天大幅下跌。

考慮到這種內(nèi)爆的影響嚴(yán)重程度不一,既有可能與1929年的股災(zāi)相當(dāng),也有可能與2000年“不太嚴(yán)重的”經(jīng)濟(jì)衰退類似,因此格蘭瑟姆質(zhì)疑:美國(guó)經(jīng)濟(jì)將以多快的速度陷入衰退,經(jīng)濟(jì)衰退將持續(xù)多長(zhǎng)時(shí)間?利潤(rùn)率會(huì)下降到什么程度?

“利潤(rùn)率已經(jīng)大幅下降,但情況可能更加嚴(yán)重。其他經(jīng)濟(jì)變量會(huì)有哪些變化,例如全球貿(mào)易問題、與中國(guó)的摩擦、戰(zhàn)爭(zhēng)危機(jī)等。這些因素會(huì)產(chǎn)生哪些影響?現(xiàn)在很難預(yù)測(cè)?!?/p>

人工智能“迷你泡沫”

格蘭瑟姆稱,科技行業(yè)的顛覆性技術(shù)引發(fā)的所謂迷你泡沫,“擾亂了”他的預(yù)測(cè)。

微軟(Microsoft)等公司的股價(jià)暴漲。微軟在今年4月召開的營(yíng)收電話會(huì)議上提及了50次“人工智能”。

Meta自從宣布將業(yè)務(wù)重心從元宇宙轉(zhuǎn)移到人工智能產(chǎn)品和服務(wù)之后,也得到了類似回報(bào),其首席執(zhí)行官馬克·扎克伯格憑借在Meta持有的股份,個(gè)人財(cái)富暴漲約400億美元。

格蘭瑟姆說,他目前并不確定人工智能是否“發(fā)展速度足夠快和足夠強(qiáng)勁”,能夠避免股市泡沫破滅。

這位投資專家表示,他之所以將股市崩盤的概率從“可怕的”85%下調(diào)到70%,是因?yàn)镃hatGPT等技術(shù)的出現(xiàn)。

然而,他認(rèn)為人工智能引起的股市反彈只涉及一個(gè)小眾市場(chǎng)。他解釋道:“誰都知道,在人工智能出現(xiàn)之前,情況已經(jīng)非常復(fù)雜。我們要面對(duì)通貨膨脹,還有美聯(lián)儲(chǔ)(Federal Reserve),我們要考慮利率會(huì)以多快的速度上漲以及會(huì)有多大上漲幅度,還要考慮戰(zhàn)爭(zhēng)的后續(xù)影響等?!?/p>

“自從ChatGPT發(fā)布以及去年10月和11月以來,迅速引起了人們的興趣,而且人們關(guān)注的領(lǐng)域非常集中?!?/p>

格蘭瑟姆指出,關(guān)于人工智能技術(shù)將對(duì)市場(chǎng)行情產(chǎn)生多大影響,不同的人會(huì)有不同看法。他表示,關(guān)于人工智能技術(shù)對(duì)社會(huì)的影響,存在著各種不同的意見。

格蘭瑟姆說:“一些地球上最聰明的人認(rèn)為人工智能沒有意義,它只是通過試錯(cuò)學(xué)習(xí)的鸚鵡而已。還有人認(rèn)為人工智能會(huì)改變一切,它將提高生產(chǎn)率,并在諸多方面帶來改善。”

格蘭瑟姆認(rèn)為,人工智能的發(fā)展過程,與他預(yù)測(cè)的近期泡沫的演變過程并不一致:“距離傳統(tǒng)泡沫破滅、傳統(tǒng)的經(jīng)濟(jì)衰退、傳統(tǒng)的利潤(rùn)率下降以及股市暴跌,還有一兩年時(shí)間。這些情況可能發(fā)生在人工智能真正產(chǎn)生影響之前。”(財(cái)富中文網(wǎng))

譯者:劉進(jìn)龍

審校:汪皓

A legendary investor whose expertise lies in major stock crashes says the market is heading toward a burst bubble, akin to the crises seen in 1929 and 2000.

British billionaire Jeremy Grantham is cofounder of investment management company GMO, which reportedly handles a near $65 billion in assets.

Grantham, estimated to be worth $1 billion himself, previously estimated an 85% likelihood that the stock market would crash but has since downgraded that to 70%.

Despite the figure dropping, Grantham is convinced the market has created a perfect storm for bubbles—such as asset prices—to burst, but said the emergence of artificial intelligence has delayed the pop.

Speaking to WealthTrack in an interview published over last weekend, Grantham, who specializes in long-term investment strategy, said stocks had benefited from an “almost perfect” environment for nearly a decade.

“I’m only interested in the really great bubbles like 1929, 2000, and 2021, [which] are the three senior bubbles in [the] U.S stock market. We have checked off pretty well every one of the boxes,” he said.

Grantham, who now heads up a family foundation in his own name which specializes in green investments, said these “boxes” are periods of long economic upswings, a strong bull market, and strong earnings.

In each of these scenarios Grantham points out that the markets were then followed by a “sharp leg down.”

In 1929 it was Black Thursday when $14 billion was wiped off the market in a single day; in 2000 the Nasdaq lost 76.81% of its value in less than two years; and in 2021 it similarly took a 10% hit.

Grantham said that a rally before his predicted crash was “all present and correct,” pointing out that the S&P 500 had a 20% rise in June compared with its October low.

Grantham’s gloomy predictions have a track record of being right.

Two years ago Grantham similarly told WealthTrack he expected to see a bubble of “epic” proportions because a number of different markets were trading at extremes: variously the housing market, the “meme” stock market, and the bond market operating at extreme lows.

A year later many of these assets saw major corrections, with meme-motivated shares like movie-theater company AMC seeing a massive drop-off by the summer.

Given that the impact of such an implosion could range from the desolation of the 1929 crash to the “respectable” recession of 2000, Grantham questioned: How quickly and for how long will the economy go down? How low will profit margins fall?

“They have fallen a decent bit already, but they could do a lot worse. And how badly other economic variables will be—the trouble within global trade, the trouble with China, the trouble with the war. And how will that play out? It’s very difficult to tell.”

A.I. “mini-bubble”

Grantham said he was “disturbed” by the emergence of a so-called mini-bubble which has ballooned as a result of disrupters in the tech industry.

Businesses like Microsoft—which mentioned the phrase “artificial intelligence” 50 times on an earnings call in April—have seen massive growth to their share price.

Meta is enjoying similar returns, with CEO Mark Zuckerberg’s wealth spiking by around $40 billion—courtesy of the shares he owns in the platform—since making announcements about pivoting from the metaverse to focus on A.I. products and services.

Grantham said he is currently unsure as to whether A.I. will be “quick enough and strong enough” to keep the market bubble from bursting.

The investment expert said the emergence of technologies like ChatGPT was the reason he had scaled back his prediction of a “ridiculously high” 85% chance that the market would burst—to 70%.

However he countered that the A.I. rally was a niche market, explaining: “Lord knows this was complicated before A.I. raised its ugly head. We had inflation, the Fed, how quickly would rates go up, how far would they go up, how would the war play out—it goes on and on.

“Now we have, since ChatGPT and October and November last year, we have a new little flurry of interest that is very concentrated.”

How far the technology will go to change the course of the market depends on whom you ask, Grantham pointed out, saying there is a “scramble” of opinions on how the technology will impact society.

“Some of the brightest people on the planet say it’s all nonsense, it’s just a parrot learning by trial and error. Other people say it will change everything, it will double productivity and everything in between,” Grantham noted.

Grantham’s guess is that A.I. is not operating on the same timescale as the bubble in the near future he is predicting: “We have a year or two here to have a fairly traditional bubble losing air, a fairly traditional recession, and fairly traditional decline in profit margins and some grief in the stock markets. We can do that before the real effects of A.I. kick in.”

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