Financial Markets

Research and data on interest rates, bonds, equities, credit, risk premiums, corporate profits, and investor expectations. The archive examines what market prices reveal about growth, inflation, policy, and financial conditions.

AI Summary. A study of US private firms finds that a one-standard-deviation rise in a firm's financing shortfall is associated with a 45% higher likelihood of going public. After an initial public offering, disagreement among lenders about a firm's default risk falls, borrowing costs drop by 45 basis points, and debt rises more than 50% relative to comparable firms by year three.

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A study of 100k+ private nonfinancial firms (2012–23), including 433 IPOs, suggests listing improves access to debt as well as equity. After listing, lenders’ risk assessments converge and bank borrowing costs fall 45 basis points, controlling for assessed risk.

Do financing shortfalls drive private firms to go public?

Core argument: A one-standard-deviation increase in a US private firm’s financing deficit is associated with a 45% higher likelihood of going public, controlling for size, growth, leverage, investment, and industry–location–time effects.

A one-standard-deviation increase in a firm’s financing deficit is associated with a 45% higher likelihood of going public [controlling for size, growth, leverage, investment, and industry–location–time effects]. Consistent with a reduction in asymmetric information, we find that dispersion in PD [probability of default as perceived by disparate market participations] drops,beginning immediately after the IPO. [Note that] we calculate PD dispersion only for banks present prior to the IPO]. We find that after controlling for these risk assessments, firms’ borrowing costs drop by 45 bps after going public. [controlling for bank–firm and bank–quarter fixed effects]. Figure 7 shows that in the first year, there is a statistically significant drop in leverage of about 4 pp.. However, the point estimate returns to zero by year three. Figure 6 shows that IPO firms increase their debt by more than 50% relative to control firms by year three following the IPO. [An important caveat is that our post-IPO estimates capture both treatment and selection effects].

Takeaways by Macro Roundup® AI

  1. A one-standard-deviation increase in a US private firm’s financing deficit is associated with a 45% higher likelihood of going public, controlling for size, growth, leverage, investment, and industry–location–time effects.
  2. Dispersion in the probability of default perceived by banks present before the IPO drops immediately after it, and after controlling for these risk assessments, firms’ borrowing costs fall 45 basis points following the IPO, with bank–firm and bank–quarter fixed effects.
  3. IPO firms’ leverage falls a statistically significant 4 percentage points in the first year, with the point estimate returning to zero by year three, while their debt rises more than 50% relative to control firms by year three; these post-IPO estimates capture both treatment and selection effects.

AI Summary. China's export growth accelerated after its currency depreciated, which the author argues is evidence that exchange rate moves, not just domestic demand, drive its trade surplus. Because Chinese domestic demand growth no longer pulls in imports, the author contends there is no realistic path to balanced trade without a stronger renminbi.

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China’s export growth accelerated following the RMB’s depreciation in 2022, underscoring the role of exchange rates as a factor in external adjustment. Since rising domestic demand no longer lifts imports, Setser argues, reducing China’s trade surplus will require a stronger RMB.

Does balancing China's trade require a stronger currency?

Core argument: China requires a 1.5 percentage point contribution from net exports to growth each year, putting it on a collision course with trading partners absent a currency correction that supports more balanced trade even without trade restrictions.

The best evidence that exports responded to changes in the currency, and not simply to changes in the path of China’s internal demand, is the acceleration in China’s export growth after the RMB’s depreciation over the course of 2022. Those who believe the path of internal demand is critical to rebalancing and that exchange rate moves are secondary need to explain how an acceleration in domestic demand would, on its own, lead China’s external accounts to adjust. One important, stylized fact about China is that domestic demand growth is no longer feeding over to import growth (ex-gold, that is). Bottom line: China, which needs a 1.5 percentage point contribution from net exports every year, is on a collision course with its trading partners without a currency correction that provides the basis for more balanced trade even in the absence of trade restrictions. And there isn’t a realistic path towards balance that doesn’t involve a stronger RMB; there aren’t, as Paul Krugman once put it, immaculate transfers.

Takeaways by Macro Roundup® AI

  1. China requires a 1.5 percentage point contribution from net exports to growth each year, putting it on a collision course with trading partners absent a currency correction that supports more balanced trade even without trade restrictions.
  2. The acceleration in China’s export growth following the renminbi’s depreciation over 2022 is the best evidence that exports responded to the currency rather than to the path of China’s internal demand.
  3. Domestic demand growth in China no longer feeds through to import growth, excluding gold, and no realistic path toward external balance avoids a stronger renminbi.

AI Summary. Foreign investors made roughly $1.5tn in net purchases of US equities from the start of 2024 through July, with chipmaking economies like South Korea and Taiwan helping fund American tech firms' AI buildout. Bloomberg Economics estimates about 20% of foreign US equity holdings were AI-related in 2025, versus roughly 10% in 2019.

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The profits of South Korean and Taiwanese firms are flowing into AI-related US equities. A Bloomberg analysis found ~20% of all foreign holdings of US equities were in AI-related sectors, up from ~10% in 2019.

Are foreign investors funding America's AI buildout?

Core argument: Foreign investors held roughly $4.9 trillion of US-listed shares in AI-centered industries at the end of June, a sum roughly equivalent to Germany’s annual GDP, according to Bloomberg Economics’ analysis of Treasury data.

The AI boom is creating massive demand for high-end chips and new pools of savings in places that make them like South Korea and Taiwan which are flowing to fund American tech companies and their $9 trillion AI build out. Foreign investors made roughly $1.5 trillion in net purchases of US equities alone since the beginning of 2024 through the end of July. A Bloomberg Economics analysis of Treasury data shows that in 2025 roughly 20% of all foreign holdings of US equities were in AI-related sectors, up from roughly 10% in 2019. That number has grown with soaring valuations since then. But even assuming that 20% level, foreign investors had about $4.9 trillion of exposure to US-listed shares of companies in industries at the center of the AI boom at the end of June. That’s roughly equivalent to Germany’s annual GDP.

Takeaways by Macro Roundup® AI

  1. Foreign investors held roughly $4.9 trillion of US-listed shares in AI-centered industries at the end of June, a sum roughly equivalent to Germany’s annual GDP, according to Bloomberg Economics’ analysis of Treasury data.
  2. AI-related sectors accounted for roughly 20% of all foreign holdings of US equities in 2025, up from roughly 10% in 2019, per Bloomberg Economics’ analysis of Treasury data.
  3. Foreign investors made roughly $1.5 trillion in net purchases of US equities from the start of 2024 through the end of July, with savings from chipmaking economies such as South Korea and Taiwan flowing to American tech companies and their $9 trillion AI build-out.

AI Summary. An artificial intelligence investment boom that is insensitive to interest rates is drawing capital, electricity and labor away from rate-sensitive sectors such as housing and autos, which the author argues will force the Federal Reserve to hold rates higher for longer. The durable fix is expanding power, chip and infrastructure supply.

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Sløk warns the rate-insensitive AI buildout has triggered unbalanced growth in the US economy by crowding out capital, electricity, and labor from vulnerable sectors like housing and autos.

Does a rate-insensitive AI boom force the Fed to keep rates higher?

Core argument: The AI boom’s insensitivity to interest rates is draining capital, power and labor from rate-sensitive sectors such as housing and autos, producing a “Dutch disease” dynamic in the US economy.

AI's rate-insensitive boom is draining capital, power and labor from vulnerable sectors like housing and autos. Trapped between inflation driven by the AI boom and weakness in rate-sensitive industries, the Fed will have to keep interest rates higher for longer. Because monetary policy cannot resolve this sectoral imbalance, the only durable fix is expanding the supply of power, chips and infrastructure.

Takeaways by Macro Roundup® AI

  1. The AI boom’s insensitivity to interest rates is draining capital, power and labor from rate-sensitive sectors such as housing and autos, producing a “Dutch disease” dynamic in the US economy.
  2. Caught between AI-driven inflation and weakness in rate-sensitive industries, the Federal Reserve will have to hold interest rates higher for longer.
  3. Monetary policy cannot resolve the imbalance between AI and rate-sensitive sectors, leaving expansion of the supply of power, chips and infrastructure as the only durable fix.

AI Summary. The Congressional Budget Office projects that if interest rates run 1.5 percentage points above its economic forecast, deficits would be $6tn larger over 2026–2036, reflecting a $4.9tn rise in net interest costs and $1.1tn in added debt-service costs. Debt held by the public would reach 133.1% of GDP in 2036, 12.9 percentage points above its baseline.

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If interest rates rise 150bp above CBO’s current extended baseline over 2026–2036 (which would leave the 10-year Treasury with a mean yield of 5.8% over that period), deficits would be $6T larger over the period.

How much would higher interest rates add to deficits and debt?

Core argument: CBO projects that interest rates 150 basis points above its economic forecast would make deficits a total of $6 trillion larger over the 2026–2036 period than in its baseline projections.

[If] interest rates are 150 basis points higher than those in CBO’s economic forecast—deficits are a total of $6 trillion larger over the 2026–2036 period than they are in the agency’s baseline projections. That increase in deficits is attributable to a $4.9 trillion increase in net interest costs resulting from higher interest rates on the amount of debt in CBO’s baseline projections and a $1.1 trillion increase in debt-service costs. In 2036, debt held by the public reaches 133.1% of GDP—12.9 percentage points more than debt that year in CBO’s baseline projections.

Takeaways by Macro Roundup® AI

  1. CBO projects that interest rates 150 basis points above its economic forecast would make deficits a total of $6 trillion larger over the 2026–2036 period than in its baseline projections.
  2. The $6 trillion deficit increase comprises a $4.9 trillion rise in net interest costs on the debt in CBO’s baseline projections plus a $1.1 trillion increase in debt-service costs.
  3. Under the higher-interest-rate scenario, CBO projects debt held by the public reaches 133.1% of GDP in 2036, 12.9 percentage points above its baseline projection for that year.

AI Summary. A basket of 42 AI stocks accounts for 60%-80% of all S&P 500 earnings growth, price returns and capital spending, while 60% of S&P 500 stocks sit 20% or more below their highs and only 30% outperform the index. AI-related construction spending has risen 38%, the only positive trend as manufacturing, commercial real estate and residential construction decline.

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Since January 2024, JPM’s 42 AI-related stocks drove 67% of S&P 500 returns, 58% of earnings growth, and 81% of capital spending. Cembalest notes, “the technology share of GDP growth has risen from almost zero in 2022 to ~33%,” and only 20% of states are outpacing national GDP growth, the lowest level since 1979.

How concentrated are US market and economic gains in AI?

Core argument: A basket of 42 AI stocks accounts for 60%–80% of all S&P earnings growth, price returns and capital spending since January 2024, with AI primarily benefitting AI supply chain companies rather than the companies adopting it.

A basket of 42 AI stocks accounts for 60%-80% of all S&P earnings growth, price returns and capital spending since Jan 2024. At the same time, 60% of S&P 500 stocks are down 20% or more from their all-time highs despite the market being close to all-time highs. Only 30% of stocks are outperforming the S&P 500, one of the lowest figures since 1991. AI is primarily benefitting AI supply chain companies rather than the companies adopting it. The technology share of GDP growth has risen from almost zero to 2022 to ~33%. Only 20% of US states are growing faster than the national average, almost the lowest figure since 1979. AI accounts for the only positive trend in US construction spending, having risen by 38% since January 2024. Unfortunately the other three main categories are down since then (manufacturing -28%, commercial real estate -13% and residential -6%). That’s why the decline in planned data center projects is something to watch.

Takeaways by Macro Roundup® AI

  1. A basket of 42 AI stocks accounts for 60%–80% of all S&P earnings growth, price returns and capital spending since January 2024, with AI primarily benefitting AI supply chain companies rather than the companies adopting it.
  2. 60% of S&P 500 stocks are down 20% or more from their all-time highs even as the index sits near record levels, and only 30% of stocks are outperforming the S&P 500, one of the lowest figures since 1991.
  3. AI accounts for the only positive trend in US construction spending, rising 38% since January 2024, while manufacturing is down 28%, commercial real estate 13% and residential 6%.

AI Summary. France's official retirement age for full benefits was 62 in 2023, versus 67 in Denmark and the US, and its average actual retirement age was the lowest in Western Europe while life expectancy at 65 reaches about 87, two years longer than in the US.

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The sharp rise in the price of credit default swaps on French government debt implies a 1.2% of default over the next 5 years, which Krugman thinks “is too low” and cautions “France may have crossed the line from too big to fail to too big to save.”

Does France retire earlier than other wealthy countries despite longer lifespans?

Core argument: France’s official retirement age for full benefits was 62 in 2023, compared with 67 in both Denmark and the United States, and its average actual retirement age was the lowest in Western Europe.

France does stand out, even among fiscally troubled nations, in one main way: its persistent inability to get realistic about retirement. The official French retirement age — the age at which workers can collect full benefits — was only 62 in 2023. By comparison, the retirement age in Denmark was 67 (which is also the age in the U.S.). The average actual age of retirement, which is always lower than the statutory age because some people choose to accept reduced benefits, was lower in France than anywhere else in Western Europe. You don’t have to be a conservative to see France’s early retirement as unsustainable, especially given that French life expectancy at age 65 is about 87 years of age, 2 years longer than in the US. France’s reliance on the euro means that it’s all too easy to see how this loss of confidence could turn into an ugly crisis.

Takeaways by Macro Roundup® AI

  1. France’s official retirement age for full benefits was 62 in 2023, compared with 67 in both Denmark and the United States, and its average actual retirement age was the lowest in Western Europe.
  2. French life expectancy at age 65 is about 87, two years longer than in the United States, a gap that strengthens the case that France’s early retirement is unsustainable.
  3. France’s reliance on the euro makes it easy to see how a loss of confidence could turn into an ugly crisis.

AI Summary. Corporate profit margins, long regarded as one of the economy's most reliably mean-reverting series, have risen continuously so far this century. Measured through the national income accounts used in calculating GDP, profits now take a larger share of the economy than on the eve of the 1929 crash.

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Since 2000, post-tax corporate profits as a share of GDP have trended upward across cyclical setbacks and are now near an all time high, above their 1929 level.

Have corporate profit margins stopped reverting to the mean?

Core argument: Corporate profits measured in the National Income and Product Accounts take a larger share of the U.S. economy than on the eve of the 1929 Great Crash.

Throughout the 20th century, profit margins were regarded as one of the purest mean-reverting series in the economy. So far this century, however, margins have done nothing but rise. Measured with the National Income and Product Accounts, part of the GDP calculation, profits are currently taking a bigger share of the economy even than on the eve of the Great Crash in 1929. The series comes with a lag, so we can assume the profit share on this basis is comfortably at a record by now.

Takeaways by Macro Roundup® AI

  1. Corporate profits measured in the National Income and Product Accounts take a larger share of the U.S. economy than on the eve of the 1929 Great Crash.
  2. Profit margins were regarded throughout the 20th century as one of the purest mean-reverting series in the economy, yet so far this century they have done nothing but rise.
  3. The National Income and Product Accounts profits series comes with a lag, so the profit share on this basis can be assumed to be comfortably at a record.