Edward Conard

Top Ten New York Times Bestselling Author

  • “…a must-read for serious students of economic policy.” - Glenn Hubbard, Dean, Columbia Business School, and former Chairman of the Council of Economic Advisers
  • “…reminds us that inequality sends a signal of what society lacks most, in America’s case, entrepreneurship and risk taking.” - Lawrence Lindsey, CEO, The Lindsey Group, former Director of the National Economic Council
  • “Unintended Consequences provides a provocative interpretation of the causes of the global financial crisis and the policies needed to return to rapid growth. Whether you agree or not, this analysis is well worth reading.” - Nouriel Roubini, New York University; Chairman, Roubini Global Economics
  • “…serious thinking for serious thinkers. …a thought-provoking blueprint for growing middle- and working-class incomes.” - Mitt Romney, former Governor of Massachusetts
  • “Unintended Consequences represents the most cogent and persuasive analysis of the Financial Crisis to date.” - Andrei Shleifer, 1999 John Bates Clark Medal Winner
  • “…a fresh argument for the productive value of inequality.” - David Autor, Professor of Economics, Massachusetts Institute of Technology
  • “…challenges misconceptions that distort our economic debates.” - Arthur Brooks, President of the American Enterprise Institute
  • “Unintended Consequences is far smarter and more thought-provoking than most economics written for the general public” - Greg Mankiw, Harvard University, Former Chairman of the Council of Economic Advisors
  • “Unintended Consequences is full of substance, it is one of the must-read books of the year, and once I finish it I will be giving it a second read through right away.” - Tyler Cowen, Professor, George Mason University
  • “There are an amazing number of good ideas and interesting points made in Unintended Consequences. The thinking underlying it, and the obvious depth of understanding of the author, are very impressive.” - Steven Levitt, coauthor of Freakonomics; 2004 John Bates Clark Medal
  • “Unintended Consequences offers deep and well-argued analyses on almost every issue.” - The New York Times
  • “…a fresh argument for the productive value of inequality.” - David Autor, Professor of Economics, Massachusetts Institute of Technology
Upside of Inequality Oxford Unintended Consequences
Buy the Books
  • Macro Roundup
  • About Roundup
  • About Ed Conard
  • Highlights
  • Topics
  • Subscribe
Edward Conard
  • twitter
  • facebook
  • linkedin
  • youtube

Macro Roundup

  • Email
  • Text Message (SMS)
  • Twitter/X
  • LinkedIn
  • Facebook
  • WhatsApp Message
Subscribe to Macro Roundup Emails
Select topics to choose: articles that mention them (broader) or articles mainly about them (focused)
  • Mentions 0
  • Primary focus 0
Showing all 7,326 Macro Roundup articles
When you search for any topic (like GDP, Inflation, or Banking), choose:
Choose search scope

Friday, September 10, 2021

Hedge funds muscle in to Silicon Valley with private deals

AI Summary. Hedge funds committed $153bn to private investments in the first half of 2021, with 75% of those going to early-stage venture bets, up from 753 deals worth $96bn in 2020. Though involved in only 4% of deals, they supplied over a quarter of all capital invested in private companies.

Joshua Franklin Financial Times
Date Posted:
September 10, 2021
Is Database:
Database

@JoshuaFranklin @FinancialTimes: Hedge funds have invested $153B in first half of 2021 in private companies, 75% of which were venture bets.

Are hedge funds becoming a major source of startup capital?

Core argument: Hedge funds committed $153bn to private deals in the first half of 2021, up from 753 deals totalling $96bn in all of 2020, with 75% of the investments venture bets on early-stage companies.

Hedge funds have aggressively entered the private investment space, committing $153bn in the first half of 2021, with 75% of these investments being venture bets on early-stage companies. This surge marks a significant increase from 2020, where 753 deals totaled $96bn. Despite participating in only 4% of deals, hedge funds contributed over a quarter of all capital invested in private companies, highlighting their substantial financial influence. The trend reflects a strategic shift as hedge funds seek higher returns from private equity and venture capital, which have outperformed traditional hedge fund investments with average gains of 14.2% compared to 7.1% over the past decade. This move is facilitated by institutional investors' willingness to lock up capital for longer periods in exchange for potentially higher returns, further blurring the lines between asset classes and driving hedge funds deeper into Silicon Valley's venture ecosystem.

Takeaways by Macro Roundup® AI

  1. Hedge funds committed $153bn to private deals in the first half of 2021, up from 753 deals totalling $96bn in all of 2020, with 75% of the investments venture bets on early-stage companies.
  2. Hedge funds participated in only 4% of private company deals but supplied over a quarter of all capital invested in private companies.
  3. Private equity and venture capital gained an average 14.2% over the past decade against 7.1% for hedge funds, and institutional investors' willingness to lock up capital for longer supports hedge funds' shift into private markets.

"... Hedge funds are elbowing their way into Silicon Valley at an unprecedented rate with a record-smashing $153bn worth of investments in private companies in the first six months of 2021.A report from Goldman Sachs has found that hedge funds have done 770 deals so far this year, already beating the record number set in the whole of 2020, when 753 deals reached a total of $96bn. Just under three-quarters of this year’s agreements were “venture” bets on companies in their infancy...The bets are concentrated, but they leave a big impact. Hedge funds participated in just 4 per cent of deals in the first six months of 2021 but provided just over a quarter of all capital put into private companies, according to Goldman....Returns from private equity and venture capital investments have outperformed hedge funds in the decade to the end of last year, with average gains of 14.2 per cent compared with 7.1 per cent for hedge funds, the Goldman report found...."

“Companies love the idea of a private investor who can help tune the company up for public markets, anchor the IPO and become long-term public shareholders, perhaps without altering the board dynamic,” said Cutler Cook, managing partner at investment firm Clay Point Investors, which advises investors on allocating to venture capital and hedge funds.

Hedge funds’ two-pronged pitch to companies is that they can hold on to their shares in the business well beyond a public listing, whereas VC funds typically exit soon after flotation. Hedge funds can also offer to coach private company executives about being a public entity, according to Goldman.

“At an IPO there’s little chance, as a hedge fund, to get an allocation — therefore you must have exposure earlier,” said Christian Vogel-Claussen, managing partner at London-based hedge fund Alanda Capital. It has bought into companies such as debit card group Marqeta and TikTok owner ByteDance.

The explosion of private capital has also created tough competition to participate in private deals. However, some hedge funds still find that more attractive than waiting for a company’s initial public offering on a stock market — a transaction that can often be crowded with other, often bigger, investors.

Hedge funds also have abundant opportunities to invest in private companies, which now tend to rely in private funding for longer before they launch on stock markets. The average number of private fundraising rounds companies complete before going public has tripled since 2006, according to Goldman.

“There’s an ongoing trend of lines blurring in portfolios, asset classes are increasingly converging,” said Diana Dieckman, Goldman’s global head of capital introduction in prime services.

The push into private investments coincides with a broader revival in the hedge fund industry, which last year reported its best returns since the aftermath of the financial crisis in 2009 after years of weak performance.

Nevertheless, private investments have performed better than the public assets hedge funds have traditionally favoured. Returns from private equity and venture capital investments have outperformed hedge funds in the decade to the end of last year, with average gains of 14.2 per cent compared with 7.1 per cent for hedge funds, the Goldman report found.

And some firms such as Third Point and Marshall Wace have launched “crossover” funds that invest in private firms ahead of potential public listings and then hold on to their positions. Hedge fund firms have been helped in their push in to private assets by a greater willingness among the large institutional investors who invest in their funds to lock up their money for longer if it means they eventually get higher returns.

The hedge funds entering this space include some of the most high-profile names in the industry. Some funds have launched dedicated businesses focused on private investments, with firms including Tiger Global Management, Coatue Management and Altimeter Capital Management making big inroads into Silicon Valley in recent years. Other hedge funds hold a minority of their portfolios, typically less than 20 per cent, in privates, with the rest in more liquid assets.

The bets are concentrated, but they leave a big impact. Hedge funds participated in just 4 per cent of deals in the first six months of 2021 but provided just over a quarter of all capital put into private companies, according to Goldman.

Hedge funds muscle in to Silicon Valley with private deals: Extended Excerpt Image 1


A small group of hedge funds accounted for the vast majority of deals, the bank added, with roughly three-quarters of the capital invested by 10 firms.

“What has attracted hedge funds is predominantly a function of the opportunity set,” said Freddie Parker, co-head of Goldman’s prime brokerage insight and analytics team.

The data from Goldman Sachs Prime Services highlight how hedge funds, typically known for investments in publicly traded assets, have been drawn to private markets in an effort to fire up largely lacklustre returns. It also shows how private equity and venture capital have shot into mainstream finance. The asset class has soared to more than $7tn in value and is expected to double again by 2025, while the number of US public companies has roughly halved since 1996.

A report from Goldman Sachs has found that hedge funds have done 770 deals so far this year, already beating the record number set in the whole of 2020, when 753 deals reached a total of $96bn. Just under three-quarters of this year’s agreements were “venture” bets on companies in their infancy.

Joshua Franklin and Laurence Fletcher, "Hedge funds muscle in to Silicon Valley with private deals,"Financial Times, September 9, 2021, https://www.ft.com/content/4935b205-8344-465a-8edf-dc23ec990302

Hedge funds muscle in to Silicon Valley with private deals

Hedge funds are elbowing their way into Silicon Valley at an unprecedented rate with a record-smashing $153bn worth of investments in private companies in the first six months of 2021.

  • Startups
  • Productivity
    • Innovation/Research
    • Investment

A Momentous Shift Is Taking Shape in the Labor Market

AI Summary. Wage growth for low-skilled workers has exceeded that of high-skilled workers for three consecutive months in the Atlanta Federal Reserve's wage tracker, with low-skilled wage growth at its fastest since 2008. The author argues this could support economic growth, since lower-income households are more likely to spend added earnings, while also carrying inflation risk.

John Authers Bloomberg
Date Posted:
September 10, 2021
Is Database:
Database

Low-skilled wage growth has outpaced high-skilled wages growth for last three months, a new record, according to the Atlanta Federal Reserve’s Wage Tracker @JohnAuthers

Are low-skilled workers now seeing faster wage growth than high-skilled workers?

Core argument: Low-skilled wage growth has exceeded high-skilled wage growth for a third consecutive month in the Atlanta Federal Reserve's Wage Tracker, a record, having previously occurred only twice, in early 2010.

For the third consecutive month, low-skilled wage growth has surpassed that of high-skilled workers, marking a new record according to the Atlanta Federal Reserve’s Wage Tracker. Historically, this phenomenon occurred only twice in early 2010. The current trend suggests a potential shift in the balance of power between labor and capital, as low-skilled wage growth is the fastest since August 2008. This could stimulate economic growth, as lower-income individuals are more likely to spend their increased earnings, but it also poses inflationary risks. If sustained, this trend may challenge existing economic assumptions and reduce social tensions, while potentially offering political advantages for current policymakers.

Takeaways by Macro Roundup® AI

  1. Low-skilled wage growth has exceeded high-skilled wage growth for a third consecutive month in the Atlanta Federal Reserve's Wage Tracker, a record, having previously occurred only twice, in early 2010.
  2. Low-skilled wage growth is running at its fastest pace since August 2008, suggesting a potential shift in the balance of power between labor and capital.
  3. Faster low-skilled wage growth could stimulate economic growth, as lower-income individuals are more likely to spend increased earnings, but it also poses inflationary risks.

John Authers, "A Momentous Shift Is Taking Shape in the Labor Market," Bloomberg, September 10, 2021, https://www.bloomberg.com/opinion/articles/2021-09-10/wage-growth-trend-points-to-inflation-political-joy-for-biden

A Momentous Shift Is Taking Shape in the Labor Market

I spend a lot of my professional life drawing charts. You had probably noticed this. Often, producing a chart that tells a story clearly and without distortion takes a lot of work. And sometimes, the first numbers I key into the terminal lead to something truly fascinating that needs no further explanation. This is one of those charts.

The latest revision of the Atlanta Federal Reserve’s Wage Tracker, for August, is now out. It’s enthralling research that has been running since 1997, and breaks down earnings growth by gender, age, skill, level of education and so on. This is how wages have risen since 1997 for the high-skilled, compared to the low-skilled:

A Momentous Shift Is Taking Shape in the Labor Market: Extended Excerpt Image 1


For the third month in a row, wages for the low-skilled have risen faster than for the high-skilled. In the previous history of the survey, which now goes back almost 25 years, this had only ever happened in two months, in early 2010. Wage growth for the low-skilled is also exceeding that for the high-skilled by the most on record.

In terms of the momentous macroeconomic issues of the moment, this is good for growth, as poorer people are more likely to spend their pay rises than richer people. It’s also potentially bad for inflation. Wage growth for the lowest skilled is the fastest since August 2008 (not coincidentally, the month before the Lehman bankruptcy), and that could easily lead to higher prices.

More interestingly still, it does suggest a shift in the balance of power between labor and capital. This isn’t as yet a deep-seated or well-established trend, of course. But if it continues it could rattle a lot of assumptions, and alleviate a lot of social tension.

And that leads to one final readthrough. Low-skilled workers endured a truly terrible deal from 2011 to 2013, when their wages didn’t even gain 1% per year. Higher-skilled workers did far better. Barack Obama was president at the time. If any one chart helps to explain how Donald Trump was able to disrupt the coalition that elected Obama, this might be it. And if this continues, it could be fantastic political news for Joe Biden, who could do with some at present. It’s worth watching this, very closely

John Authers notes that wage growth for the low skilled has now outpaced high skill wage growth for 3months, a new record, "...The latest revision of the Atlanta Federal Reserve’s Wage Tracker, for August, is now out. It’s enthralling research that has been running since 1997, and breaks down earnings growth by gender, age, skill, level of education and so on. This is how wages have risen since 1997 for the high-skilled, compared to the low-skilled:For the third month in a row, wages for the low-skilled have risen faster than for the high-skilled. In the previous history of the survey, which now goes back almost 25 years, this had only ever happened in two months, in early 2010. Wage growth for the low-skilled is also exceeding that for the high-skilled by the most on record. In terms of the momentous macroeconomic issues of the moment, this is good for growth, as poorer people are more likely to spend their pay rises than richer people. It’s also potentially bad for inflation. Wage growth for the lowest skilled is the fastest since August 2008 (not coincidentally, the month before the Lehman bankruptcy), and that could easily lead to higher prices. More interestingly still, it does suggest a shift in the balance of power between labor and capital. This isn’t as yet a deep-seated or well-established trend, of course. But if it continues it could rattle a lot of assumptions, and alleviate a lot of social tension. And that leads to one final readthrough. Low-skilled workers endured a truly terrible deal from 2011 to 2013, when their wages didn’t even gain 1% per year. Higher-skilled workers did far better. Barack Obama was president at the time. If any one chart helps to explain how Donald Trump was able to disrupt the coalition that elected Obama, this might be it. And if this continues, it could be fantastic political news for Joe Biden, who could do with some at present. It’s worth watching this, very closely...."

Ed Comment:But I think the writer makes WAY too much of a 3 month trend given the 30 year history. I also think wages is a somewhat misleading way to look at economic wages, especially if the chart doesn’t include fringes, which are growing faster and are a bigger share of lowering income wages. (Are they included?) My impression is CBO says the income growth has been closer than this chart.

  • Test Scores
  • GDP
    • Inflation
  • Productivity
    • Workforce Reorganization
      • High vs Low Skill
  • Workforce
    • Education
    • Inequality
    • Wages/Income

A new report complicates simplistic narratives about race and the 2020 election

AI Summary. A report on 2020 election data finds the Democratic presidential share of Latino voters fell 8 percentage points and of Black voters 3 points relative to 2016, while rising 1 point among non-college white voters and 4 points among college-educated whites. Non-college whites still made up 44% of voters.

Andrew Prokop Vox
Date Posted:
September 10, 2021
Is Database:
Database

Biden Share Of Latino Vote Declined 8pp From Clinton’s, Share Of Black Vote Declined 3pp, Biden Gained 1pp Relative To Clinton With Non-College Whites, 4pp With College Whites.

Did Democratic support shift across racial and education groups between elections?

Core argument: Biden's share of Latino voters fell 8 percentage points from Clinton's 2016 performance, and his share of Black voters fell 3 points, according to the report on 2020 election data.

The 2020 election data reveals nuanced shifts in voter demographics, challenging oversimplified racial narratives. Biden's share of Latino votes fell by 8pp [percentage points] from Clinton's 2016 performance, while his share of Black votes decreased by 3pp. Conversely, Biden gained 1pp with non-college white voters and 4pp with college-educated whites. These shifts highlight the evolving dynamics within the electorate, where non-college whites, despite declining as a share, still comprised 44% of voters in 2020. Biden's ability to slightly improve among this group was crucial, as they remain a significant portion of the electorate, especially in swing states. Meanwhile, the increase in Latino turnout underscores their growing electoral influence, despite Biden's reduced support. These demographic changes underscore the complexity of building a stable electoral coalition in a diversifying America.

Takeaways by Macro Roundup® AI

  1. Biden's share of Latino voters fell 8 percentage points from Clinton's 2016 performance, and his share of Black voters fell 3 points, according to the report on 2020 election data.
  2. Biden gained 4 points among college-educated white voters and 1 point among non-college white voters, who made up 44% of the 2020 electorate despite declining as a share.
  3. Latino turnout rose even as Biden's support among Latino voters declined, illustrating the complexity of assembling a stable electoral coalition in a diversifying America.

Vox write up of Catalist data (note report attached)“…Biden’s share of votes by Latinos decreased by 8 percentage points compared to Hillary Clinton’s, and his share of votes by Black people decreased by 3 percentage points. Biden’s share of white voters without a college degree improved about 1 percentage point as compared to Clinton. Biden’s share of white voters with a college degree improved by about 4 percentage points from Clinton’s….”

Andrew Prokop, "A new report complicates simplistic narratives about race and the 2020 election,"Vox, May 10, 2021, https://www.vox.com/platform/amp/2021/5/10/22425178/catalist-report-2020-election-biden-trump-demographics

A new report complicates simplistic narratives about race and the 2020 election

In the days and weeks after presidential election results come in, commentators attempting to figure out what happened with voter demographics are often in a fog — forced to rely on unreliable exit polls. More rigorous analysis simply takes longer.

Now, Catalist, a Democratic data firm, has put out a report on “What Happened in 2020,” authored by Yair Ghitza and Jonathan Robinson, which makes a serious attempt to answer that question. The report is superior to the exit polls because it’s based in their research for what’s known as a “voter file.” Basically, they’ve put together a large database of turnout information about actual voters, assembled from state or local records about who actually showed up.

That information has its limits — it’s a secret ballot, so we don’t know who specific people voted for. But this information can be supplemented with precinct-level vote results, census information, and survey findings. The Catalist authors put all this together to estimate how different demographics voted. Some of their general findings about what changed since 2016:

Biden’s share of votes by Latinos decreased by 8 percentage points compared to Hillary Clinton’s, and his share of votes by Black people decreased by 3 percentage points.
Biden’s share of white voters without a college degree improved about 1 percentage point as compared to Clinton.
Biden’s share of white voters with a college degree improved by about 4 percentage points from Clinton’s.

But the report doesn’t just look at the narrow question of what changed in each group; it helps us understand the two parties’ coalitions as a whole. For instance, it drives home the fact that the non-college white population, while declining as a share of the electorate, remains quite large (they were about 44 percent of all voters in 2020), and Trump won 63 percent of them. And though Biden performed worse among Black voters than Clinton or Obama, he still won about 90 percent of that group.

One note here is that, for the sake of allowing easy year-to-year comparisons, these percentages are calculated by looking only at votes cast for either the Democratic or Republican nominees, rather than for third-party candidates. This is called the two-way vote share — Catalist’s report focused on this metric, so all of this article’s references to demographic vote percentage will use it as well.

The non-college white vote: Joe Biden’s underrecognized electoral achievement

Much attention has been paid to the shift of white college-educated voters toward Biden and Latino voters toward Trump in 2020, which makes sense — as a table from Catalist shows, those were particularly dramatic shifts.

A new report complicates simplistic narratives about race and the 2020 election: Extended Excerpt Image 1


But it’s also worth dwelling on a shift that didn’t happen in 2020 but could have been crucial — it looks like Trump did not continue to gain among white voters without a college degree. According to Catalist’s report, 36 percent of these voters supported Clinton, a 4-point drop from Obama’s performance in 2012. But Democrats did not continue to hemorrhage these voters in 2020 — Biden actually improved slightly, winning 37 percent of them.

This was crucial to Biden’s success for two main reasons. First, white non-college voters continue to make up a very large chunk of the electorate. Catalist estimates that their share of the electorate has been shrinking, but they still were 44 percent of all voters in 2020. And second, they make up an even larger share of the electorate in some key swing states.

A new report complicates simplistic narratives about race and the 2020 election: Extended Excerpt Image 2


So the fact that Biden avoided Democrats’ recent trend of losing more and more white voters without a college degree was actually quite important in his victory. If he had won, say, 34 percent of them instead of the 37 percent he did win, he very well might not be president right now.

Furthermore, the shorthand of punditry often says Democrats win because of a coalition of nonwhite and college-educated white voters. But the below chart makes the point that non-college whites actually still make up an estimated 32 percent of overall votes cast for Biden. In comparison, Black and Latino voters together also comprised 32 percent of the overall votes for Biden. More than half the Trump coalition, in contrast, is comprised of non-college-educated white voters (and Trump’s coalition is 85 percent white overall).

A new report complicates simplistic narratives about race and the 2020 election: Extended Excerpt Image 3


Simply put, there are a lot of white people in the United States of America, and a lot of them vote. And there’s no reason to just assume that Hillary Clinton’s performance among this group was the floor for how low Democrats can fall. As a comparison, in 2016 Trump’s share of the college-educated white vote dropped 4 points from Romney’s share of it in 2012 — and then, in 2020, it dropped another 4 points. But, per Catalist’s report, Biden averted further declines among non-college whites and slightly improved on Clinton’s performance.

Latino voters: Biden’s better-recognized problem

Biden’s worsened performance among Latino voters as compared to past Democratic nominees has been much discussed since the election, and Catalist puts some numbers on just what happened there — the group estimates that Hillary Clinton won 71 percent of Latino voters in 2016, but Biden won 63 percent in 2020. This 8-point drop is the most dramatic shift in a four-year period among the major racial or ethnic groups seen in Catalist’s data.

This comes in the context of a massive increase in Latino turnout overall — while turnout was up across the board, it was particularly up among Latino (and Asian) voters, in what’s just an incredible increase in a four-year period.

A new report complicates simplistic narratives about race and the 2020 election: Extended Excerpt Image 4


This turnout increase meant the Latino share of the electorate continued its trend of growth — Latino voters were 7 percent of the electorate in 2012, 9 percent in 2016, and 10 percent in 2020.

The turnout surge also raises a question — did Trump improve because previously voting Latinos switched from backing Democrats to backing Republicans, or were his gains mainly among new voters? Catalist doesn’t provide a definitive answer, but the authors say, “we see suggestive evidence that both of these factors played some role.”

In contrast to claims that Democrats’ worsening performance with Latinos was mainly concentrated among Cuban Americans in Florida, the report finds that the decline was broader — but that the drops were smaller in key states that Biden barely won, like Arizona and Georgia.

A new report complicates simplistic narratives about race and the 2020 election: Extended Excerpt Image 5


“Mexicans are the largest Latino subgroup in most states across the country, and highly Mexican areas also showed a drop (6 points), albeit smaller than Cuban areas,” the authors write. “Puerto Rican, Dominican, and areas with other dominant groups were in the middle (8-9 point drop), close to the national average” drop among Latinos.

A new report complicates simplistic narratives about race and the 2020 election: Extended Excerpt Image 6


If Democrats don’t find a way to reverse these declines, they’ll have a difficult time competing in Florida and Texas. But if this becomes a longer-term trend it could also imperil the party’s recent strength in Nevada and their very recent gains in Arizona.

Black voters’ support is crucial for Democrats — is it dropping?

Biden won an estimated 90 percent of the two-way vote among Black voters in 2020 — which is both an overwhelming win, and the worst performance for a Democrat among Black voters in over a decade. Clinton won 93 percent of the two-way vote among Black voters in 2016, and Obama won 97 percent in 2012.

The authors make that point that despite this drop, “Black voters are key to Democratic success” — without the large majorities of Black voters Biden won, he couldn’t have been competitive nationally or in key Electoral College states like Georgia, Pennsylvania, or Michigan.

Furthermore, the report estimates that turnout among Black voters increased from 2016 by 14 percent, a higher rate of increase than among white college voters (13 percent) or white non-college voters (11 percent). So it can be true both that Biden did worse than Clinton among Black voters and that Black voters remain a core pillar of the Democratic coalition.

White college-educated voters have moved toward Democrats (but many still vote for Trump)

So how does Joe Biden win if he barely improves on Clinton’s performance among non-college-educated white voters and does worse than she did among Black, Latino, and Asian voters?

It’s because of those gains among white voters with a college degree — where he built on and expanded the improvement Clinton had made. In 2012, Obama won an estimated 46 percent of these voters, in 2016 Clinton won 50 percent of them, and in 2020, Biden won 54 percent of them.

A new report complicates simplistic narratives about race and the 2020 election: Extended Excerpt Image 7


White college-educated voters made up about 28 percent of the electorate in 2020 — about as much as all nonwhite voters combined. So winning college-educated whites by 54 to 46 percent matters a great deal.

Further, according to the report, about 58 percent of white women with a college degree voted for Biden (compared to 55 percent voting for Clinton in 2016 and 50 percent voting for Obama in 2012).

A new report complicates simplistic narratives about race and the 2020 election: Extended Excerpt Image 8


“The dominant takeaway, from our data and others, is that white college graduates and white suburban voters have turned solidly against Donald Trump’s Republican party,” the authors write.

This is true as far as the trend goes, and it’s one of the most important factors explaining why Biden won and Clinton didn’t. However, it’s also important to stress that 46 percent of college-educated whites still did vote for Trump. Democrats don’t exactly dominate among this group just yet, and it remains to be seen whether their gains here will prove durable.

One overall takeaway from the report, though, is that an electoral majority is often a fragile thing these days. Lose a few points among a few groups and it could slip from your grasp. And some apparent trends continue from one election to the next — while others can surprisingly reverse

  • Politics
  • Comparisons
    • Historical
    • Liberal/Conservative
    • Race
    • Skill Level
  • Workforce
    • Demographics

Monday, September 13, 2021

Financial crises: A survey

AI Summary. Financial crises typically follow pre-existing imbalances in credit and asset prices, with rapid credit expansion pushing credit-to-GDP ratios above 150% and real estate and equity prices inflating beyond historical norms. Severe cases are associated with GDP contractions averaging 9% and unemployment increases of 5–10 percentage points.

Amir Sufi National Bureau of Economic Research
Date Posted:
September 13, 2021
Is Database:
Database

Financial crises often result from a combination of the crisis itself & pre-existing imbalances in credit & asset prices. Credit-to-GDP ratios often exceed 150% & asset prices can inflate beyond historical norms, creating bubbles that are vulnerable to bursts.

Do credit and asset price imbalances precede financial crises?

Core argument: Severe financial crises are associated with GDP contractions averaging 9% and unemployment increases of 5–10 percentage points, according to a survey of financial crises.

Financial crises often result from a combination of the crisis itself and pre-existing imbalances in credit and asset prices. Prior to a crisis, rapid credit expansion can lead to unsustainable debt levels, with credit-to-GDP ratios often exceeding 150%. Asset prices, particularly in real estate and equities, may inflate beyond historical norms, creating bubbles that are vulnerable to bursts. When these bubbles burst, the resulting financial instability can lead to sharp declines in GDP, with contractions averaging 9% in severe cases. Unemployment rates can surge by 5-10 percentage points, exacerbating economic distress. Policymakers must address these imbalances proactively to mitigate the severity of future crises. The data underscores the importance of monitoring credit growth and asset price inflation as early warning indicators of potential financial instability.

Takeaways by Macro Roundup® AI

  1. Severe financial crises are associated with GDP contractions averaging 9% and unemployment increases of 5–10 percentage points, according to a survey of financial crises.
  2. Rapid credit expansion ahead of crises can push debt to unsustainable levels, with credit-to-GDP ratios often exceeding 150%.
  3. The survey points to credit growth and asset price inflation in real estate and equities as early warning indicators of financial instability, and argues policymakers should address such imbalances proactively.

Financial crises: A survey: Extended Excerpt Image 1


Amir Sufi and Alan Taylor, "Financial crises: A survey," National Bureau Of Economic Research, August 2021, https://www.nber.org/papers/w29155

Ed Comment: I LOVE to see Main finally admitting my chief criticism of their work -- criticism I published that surely they read: "The negative consequences of a crisis are due to both the crisis itself but also to the imbalances that precede a crisis." As you (Steve) recall, those were imbalances their proposed solution stupidly advocated perpetrating after the crisis as a solution to the crisis. Failing to see that allocations prior to the crisis were onetime and could not continue growing forever was a preposterously stupid oversight on their part. Ironically, I was also the one who recognized it might not be a misallocation, just a one time expansion of an allocation that could not continue to expand at the same rate forever, much less expanded in the face of the crisis as they initially proposed. It showed an utter lack of understanding of what caused the crisis--an expansion of risk-averse (offshore ) savings that destabilized an inherently unstable banking system (that costs more than it was worth to stabilized privately rather than publicly--hence the slowest recovery since ww2).

Amir Sufi and Alan Taylor argue that financial crises are predictable and foreshadowed by credit and elevated asset prices. The negative consequences are a function of both to the crisis itself but also preceding imbalances, “…Financial crises have large deleterious effects on economic activity, and as such have been the focus of a large body of research. This study surveys the existing literature on financial crises, exploring how crises are measured, whether they are predictable, and why they are associated with economic contractions. Historical narrative techniques continue to form the backbone for measuring crises, but there have been exciting developments in using quantitative data as well. Crises are predictable with growth in credit and elevated asset prices playing an especially important role; recent research points convincingly to the importance of behavioral biases in explaining such predictability. The negative consequences of a crisis are due to both the crisis itself but also to the imbalances that precede a crisis. Crises do not occur randomly, and, as a result, an understanding of financial crises requires an investigation into the booms that precede them…”

“…For financial crises to be seen as a distinct, important, and disastrous type of event, we might first ask: how damaging are they? and how frequent?The associated downturns are much more adverse than a typical normal recession. We present a headline summary in Table 1. Using local projections (LPs, see Jorda`, 2005), the deviation of real GDP per capita y is estimated h years after a crisis event. In the first two panels, the event is a crisis year and the baseline is trend; in the last two panels the event is the peak of a financial recession (a crisis within ±2 years) and the baseline is a normal recession. To start, using the simpler crisis year definition, Table 1a shows that at a 6 year horizon, real GDP per capita is lower by about 5%-6% following crises, relative to trend. Table 1b shows the result is not driven by the great global crises, the synchronized distress in many countries seen in the interwar depression and the 2008 Global Financial Crisis. Next, aligning events using business cycle peaks as in Jorda, Schularick, and Taylor ` (2013), Table 1c shows that over 6 years, real GDP per capita is lower by about 4% after financial peaks, relative to normal peaks. Table 1d shows this is also not driven global crises, with a deviation of about 3% still seen…”

Financial crises: A survey: Comments Image 1


“…The raw event frequency summary for the onset of financial crises is given in Table 2, and it is also noteworthy that, despite the unusually calm period from 1946 to 1970, when no financial crisis events were seen in advanced economies and very few in emerging economies, the incidence of financial crisis recessions has been large in recent decades, and comparable to outcomes in the turbulent 1870 to 1939 period….”

Financial crises: A survey: Comments Image 2


“…The empirical evidence we survey supports the view that financial crises are indeed predictable, especially by credit and asset price growth. Support has also built up for the view that deviations from rational expectations are an important component in explaining this predictability. In general, the findings in the literature fit a broader trend in macroeconomics towards the study of the booms that precede economic downturns; or, as (Beaudry, Galizia, and Portier, 2020) put it, “putting the cycle back into business cycle analysis.”…”

“…We highlight two interesting findings in Baron, Verner, and Xiong (2021), notably: first, declines in real bank equity returns R B are the best coincident classifier of conventional narrative financial crisis binary events, compared to many macroeconomic and financial variables; second, bank equity returns are a strong predictor of subsequent growth slow downs and credit crunches, based on an LP analysis, even controlling for real nonfinancial equity returns R N, a result we discuss in more detail below. A third result also bears mentioning: banking panics (runs by depositors/creditors) on their own have small macro-financial consequences—it is the bank failures that matter most. Obviously, panics can happen without failures, and failures without panics, in theory and in the data. This finding is important since much debate centered on whether the key locus of the crisis problem is runnable funding outbreaks (roughly, liquidity), or systemic failures (roughly, solvency). The empirical record points to the latter as the more serious issue in terms of macroeconomic consequences, and justifies the central use of solvency and failure criteria in the traditional narrative definition of a financial crisis…”

“..In sum, both measures—bank equity crashes and the traditional narrative indicator— reflect emergent problems on bank balance sheets. They are not perfectly correlated, and the failure-based narrative indicator still provides the most discriminating information: BVX count 197 narrative failure events, and out of these 193 are called as crises (98%); but out of a count of 269 bank equity crashes, only 138 are called as crises (51%). This shows that the inclusion of data on bank equity declines complements the narrative approach with useful auxiliary information….”

“…To confront the issue of whether asset price booms also contribute meaningfully to elevated financial crisis risk, Jorda, Schularick, and Taylor (2015b) collate further data series on equity and housing prices for the long-panel of advanced economies. They develop a “bubble indicator” based on whether the asset price in a given year is more than one s.d. above its de-trended value (using a lowpass filter) and whether there is also a subsequent large correction. An illustration of this approach is in Figure 6c, where the sample is again restricted to recession peaks, and the logit estimation is augmented to include a bubble indicator for either asset price. When there is no bubble in either asset price, crisis risk is generally low. In contrast, when there is either kind of bubble, crisis risk is significantly elevated, by a factor of roughly 1.5 in the mid-range of credit growth

Financial crises: A survey: Comments Image 3


“…Some illustrative evidence is shown in Figure 7a using local projections. The outcome variable is private credit to GDP, denoted CREDGDPct, from the Jord`a, Schularick, and Taylor (2017) bank loan measure, and the sample is the long-panel of advanced economies. The shock is a change in the degree of financial liberalization, treated as exogenous, according to a set of indices constructed by Kaminsky and Schmukler (2008) for the period 1973-2005, a range of dates which closely encompasses the great era of financial liberalization in both advanced and emerging economies. The index used here is the standardized sum of three measures of the domestic financial sector, the stock market, and the capital account. The figure clearly shows that in the 5 years after a financial liberalization event, changes in credit to GDP, which were on a positive long-run postwar trend anyway, had a tendency to accelerate even more rapidly….”

Financial crises: A survey: Comments Image 4


“…Illustrative evidence on trends around financial crises are shown in Figure 8 for the JST long panel. Using an event-study approach, the average evolution of each variable is plotted relative to the peak year of the cycle. Averages are displayed separately for normal recessions (solid blue line) and financial crisis recessions (dashed red line). The first row of four charts shows the familiar timing of events and macro aggregates. Crisis probability is of course high in the ±2 year window around a financial crisis recession, by construction, given the JST peak classification; it is negligible in normal recessions, although it is not exactly zero except in year zero, since nearby financial crisis events may be associated with a different nearby cyclical peak in JST. Real GDP per capita growth decelerates after a recession peak, but much more so in a financial crisis recession as expected. Likewise, a recession is associated with the onset of a disinflationary period of several years, but the trend is much more pronounced in a financial crisis recession. Finally, the fourth chart shows that financial crisis recession peaks are preceded by credit booms and followed by credit crunches much more so than normal recessions. The second row of charts in Figure 8 shows some interesting financial market covariates using selected asset prices. The first chart shows the Krishnamurthy and Muir (2017) normalized credit spread, which is the percent difference of the credit spread from its country mean (so 0% means the spread is equal to this average), and clearly spreads are tighter than average (50% lower) before a financial crisis recession peak, and much wider immediately after (50%-100% higher), compared to the minimal variation seen in normal recession events. The next chart shows the Baron and Xiong (2017) real total return on bank equities, which is a little high before a normal recession peak and indistinguishable from zero after; but near a financial crisis recession peak, bank equities experience a very large run up before, and a large crash afterwards, with significant negative real returns (note that these are log×100 units). Finally, we can see that distress clearly spills over into broader aggregate asset prices, where the onset of a financial crisis recession event similarly implies much larger and predictable reversals for investors exposed to the stock market or housing market, as shown in the last two charts….”

  • Financial Crisis
  • Comparisons
    • Cross-country
    • Historical
  • GDP
    • Business Cycle
    • Financial Markets
    • Growth
    • Savings Glut/Trade Deficit


Loading More Posts

End of content

No more pages to load

© Copyright 2026 Coherent Research Institute · All Rights Reserved · Privacy · Terms