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Free trade flaws fueled Trump’s rise in 2016 — and the problems remain, top economist says

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Former U.S. President Donald Trump speaks after attending a wake for New York City Police Department (NYPD) officer Jonathan Diller, who was shot and killed while making a routine traffic stop on March 25 in the Far Rockaway section of Queens, in Massapequa Park, New York, U.S., March 28, 2024. 

Shannon Stapleton | Reuters

Decades of trade deficits and a strong dollar created too many “losers” in the U.S. economy who turned to Donald Trump’s protectionist policies, according to Richard Koo, chief economist at the Nomura Research Institute — and those conditions remain.

Trump’s “America First” economic policies led his administration to institute a slew of trade tariffs on China, Mexico, the European Union and others, including slapping 25% duties on imported steel and aluminum.

As the Republican nominee for the 2024 presidential election, Trump has proposed a baseline 10% tariff on all U.S. imports and a minimum levy of 60% on imported Chinese products.

These policies have drawn widespread criticism from economists, who argue that tariffs are counterproductive, as they make imported goods more expensive for the average American.

Speaking to CNBC’s Steve Sedgwick on the sidelines of the Ambrosetti Forum on Friday, Koo said protectionism was a “horrible thing,” but that Trump’s approach “does have some economic logic.”

“When we studied economics and free trade, in particular, we were taught…that free trade always creates both winners and losers in the same economy, but the gain that winners get is always greater than the loss of the losers, so the society as a whole always gains. So that’s why the free trade is good,” he noted.

Koo nevertheless argued that this rests on the assumption that trade flows are balanced or in surplus, while the U.S. has been running huge deficits for the last forty years, which have expanded the number of “losers.”

Economist explains how the exchange rate and 'Wall Street types' enabled Trump's rise

“By 2016, the number of people who consider themselves losers of free trade, were large enough to elect Trump president, and so we have to really go back and say to ourselves: what did we do wrong to allow this many people in United States to view themselves as losers of free trade?” he said.

For Koo, the key problem was the exchange rate, as the strength of the U.S. dollar incentivized foreign imports and hurt U.S. companies exporting around the world.

“We kind of let the exchange rate be decided by so-called market forces, speculators, my clients, Wall Street types, but the foreign exchange rate has to be set in a way that the number of losers does not grow to a point where the free trade itself is lost,” Koo said.

He pointed to a similar pivotal moment in 1985, when President Ronald Reagan faced the same issue of a strong dollar and rising protectionism. At the time, Reagan responded by facilitating the Plaza Accord with France, West Germany, Japan and the United Kingdom to depreciate the U.S. dollar against the respective currencies of these countries through intervention in the foreign exchange market.

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“That’s the kind of thing we should have been more conscious of doing. Instead of allowing [the] dollar to go wherever the market takes [it], and then these people who are not as fortunate as we are in the financial markets, end up suffering and end up voting for Mr. Trump,” Koo added.

He argued that economists need to move beyond the idea that the trade deficit is simply down to “too much investment” and “too few savings” in the U.S., as this means deficit can only be reduced by remaining in recession until domestic demand weakens so much that U.S. companies can export more goods, which would not be possible in a democracy.

Koo again pointed to past dealings with Japan, suggesting that if the argument held that overseas companies are just filling in where U.S. companies cannot satisfy domestic demand, then the American companies fighting Japanese firms in the 1970s and 70s should have recorded huge profits due to excess demand.

“But that did not actually happen. It’s the opposite that happened. So many of them went bankrupt, so many losers of free trade were left in the streets, because it was not savings and investment issue, it was the exchange rate issue,” he said.

“The dollar should have been much weaker, and Reagan understood that that’s why he took that action.”

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Stocks making the biggest moves premarket: MS, CSCO, ASML

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Morgan Stanley (MS) earnings Q3 2024

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Ted Pick, CEO Morgan Stanley, speaking on CNBC’s Squawk Box at the World Economic Forum Annual Meeting in Davos, Switzerland on Jan. 18th, 2024.

Adam Galici | CNBC

Morgan Stanley topped analysts’ estimates for third quarter profit as its wealth management, trading and investment banking operations generated more revenue than expected.

Here’s what the company reported:

  • Earnings:$1.88 a share vs $1.58 LSEG estimate
  • Revenue: $15.38 billion vs. $14.41 billion estimate

Morgan Stanley had several tailwinds in its favor. The bank’s massive wealth management business was helped by high stock market values in the quarter, which inflates the management fees the bank collects.

Investment banking has rebounded after a dismal 2023, a trend that may continue as easing rates will encourage more financing and merger activity.

Finally, its Wall Street rivals have posted better-than-expected trading results, making it unlikely that the firm missed out on elevated activity.

JPMorgan Chase, Goldman Sachs and Citigroup topped expectations, helped by better-than-expected revenue from trading or investment banking.

This story is developing. Please check back for updates.

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China’s Alibaba claims AI translation tool beats Google, ChatGPT

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Chinese e-commerce company Alibaba has invested heavily in its fast-growing international business as growth slows for its China-focused Taobao and Tmall business.

Nurphoto | Nurphoto | Getty Images

BEIJING — Chinese e-commerce giant Alibaba‘s international arm on Wednesday launched an updated version of its artificial intelligence-powered translation tool that, it says, is better than products offered by Google, DeepL and ChatGPT.

That’s based on an assessment of Alibaba International’s new model, Marco MT, by translation benchmark framework Flores, the Chinese company said.

Alibaba’s fast-growing international unit released the AI translation product as an update to one unveiled about a year ago, which it says already has 500,000 merchant users. Sellers based in one country can use the translation tool to create product pages in the language of the target market.

The new version is based only on large language models, allowing it to draw on contextual clues such as culture or industry-specific terms, Kaifu Zhang, vice president of Alibaba International Digital Commerce Group and head of the business’ artificial intelligence initiative, told CNBC in an interview Tuesday.

“The idea is that we want this AI tool to help the bottom line of the merchants, because if the merchants are doing well, the platform will be doing well,” he said.

Large language models power artificial intelligence applications such as OpenAI’s ChatGPT, which can also translate text. The models, trained on massive amounts of data, can generate humanlike responses to user prompts.

Alibaba’s translation tool is based on its own model called Qwen. The product supports 15 languages: Arabic, Chinese, Dutch, English, French, German, Italian, Japanese, Korean, Polish, Portuguese, Russian, Spanish, Turkish and Ukrainian.

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Zhang said he expects “substantial demand” for the tool from Europe and the Americas. He also expects emerging markets to be a significant area of use.

When users of Alibaba.com — a site for suppliers to sell to businesses — are categorized by country, developing countries account for about half of the top 20 active AI tool users, Zhang said.

Chinese companies have increasingly looked abroad for growth opportunities, especially e-commerce merchants. PDD Holdings‘ Temu, fast fashion seller Shein and ByteDance’s TikTok are among the recent global market entrants. Many China-based merchants also sell on Amazon.com.

Contextual clues

Since Alibaba launched the first version of its AI translation tool last fall, the company said merchants have used it for more than 100 million product listings. Similar to other AI-based services, the basic pricing charges merchants by the amount of translated text.

Zhang declined to share how much the updated version would cost. He said it was included in some service bundles for merchants wanting simple exposure to overseas users.

His thinking is that contextual translation makes it much more likely that consumers decide to buy. He shared an example in which a colloquial Chinese description for a slipper would have turned off English-speaking consumers if it was only translated literally, without getting at the implied meaning.

“The updated translation engine is going to make Double 11 a better experience for consumers because of more authentic expression,” Zhang said, in reference to the Alibaba-led shopping festival that centers on Nov. 11 each year.

Alibaba’s international business includes platforms such as AliExpress and Lazada, which primarily targets Southeast Asia. The international unit reported sales growth of 32% to $4.03 billion in the quarter ended June from a year ago.

That’s in contrast to a 1% year-on-year drop in sales to $15.6 billion for Alibaba’s main Taobao and Tmall e-commerce business, which has focused on China.

The Taobao app is also popular with consumers in Singapore. In September, the app launched an AI-powered English version for users in the country.

Nomura analysts expect that Alibaba’s international revenue slowed slightly to 29% year-on-year growth in the quarter ended September, while operating losses narrowed, according to an Oct. 10 report. Alibaba has yet to announce when it will release quarterly earnings.

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