Christian Julliard

Christian Julliard

@christianjulliard.net

I think, read, write, teach (and take photos). Associate Professor @LSEFinance. I study the interaction between financial markets and the macroeconomy. https://christianjulliard.net

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🚨 "Consumption in Asset Returns" (w. Svetlana Bryzgalova & Jiantao Huang) forthcoming @ Journal of Finance We use asset returns to uncover the elusive dynamics of consumption. Turns out, financial markets know a lot about future consumption—and it matters for both macro & asset pricing 🧵👇 1/n

🚨 "Consumption in Asset Returns" (w. Svetlana Bryzgalova & Jiantao Huang) forthcoming @ Journal of Finance We use asset returns to uncover the elusive dynamics of consumption. Turns out, financial markets know a lot about future consumption—and it matters for both macro & asset pricing 🧵👇 1/n

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Bottom line:
 ✅ Financial markets help identify the true process of consumption
 ✅ This helps solve long-standing asset pricing puzzles 
✅ Time-varying volatility of consumption? Probably not the main story behind time-varying risk premia 12/n

🚨 "Consumption in Asset Returns" (w. Svetlana Bryzgalova & Jiantao Huang) forthcoming @ Journal of Finance We use asset returns to uncover the elusive dynamics of consumption. Turns out, financial markets know a lot about future consumption—and it matters for both macro & asset pricing 🧵👇 1/n

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We verify these mechanisms with a plethora of perturbations to specification / data / frequencies / etc No matter how we slice it, the result holds: consumption reacts slowly but strongly to financial shocks, & these slowly propagating shocks command very large risk premia. 10/n

What about time-varying risk premia?
Contrary to many models, we find no evidence that stochastic volatilities in consumption drive them.
Instead, it’s the (shocks to the) conditional mean of consumption the main link between consumption and returns. 11/n

🚨 "Consumption in Asset Returns" (w. Svetlana Bryzgalova & Jiantao Huang) forthcoming @ Journal of Finance We use asset returns to uncover the elusive dynamics of consumption. Turns out, financial markets know a lot about future consumption—and it matters for both macro & asset pricing 🧵👇 1/n

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We embed our estimated process into a standard recursive utility model.
With low risk aversion, it explains both the equity premium and the risk-free rate puzzles.
No need for exotic preferences or extreme calibrations. 8/n

Is this Long Run Risk? Not verbatim, but rather medium run / business cycle risk: consumption reacts to priced shocks fully within 2-3 years. Hence, priced consumption risk is about what happens within the next business cycle, rather than hundred years down the line. 9/n

🚨 "Consumption in Asset Returns" (w. Svetlana Bryzgalova & Jiantao Huang) forthcoming @ Journal of Finance We use asset returns to uncover the elusive dynamics of consumption. Turns out, financial markets know a lot about future consumption—and it matters for both macro & asset pricing 🧵👇 1/n

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These shocks aren’t just statistically significant—they’re economically meaningful. They command an annual Sharpe ratio of ~0.5 (as large as the market!) and explain a large share of stock return variation (and a modest but significant share of bond excess returns too). 6/n

To validate our identification, we turn to micro data.
Only stockholders’ consumption responds to financial shocks.
Non-stockholders’ doesn’t. Aggregate consumption sits in between.
Exactly what theory predicts. 7/n

🚨 "Consumption in Asset Returns" (w. Svetlana Bryzgalova & Jiantao Huang) forthcoming @ Journal of Finance We use asset returns to uncover the elusive dynamics of consumption. Turns out, financial markets know a lot about future consumption—and it matters for both macro & asset pricing 🧵👇 1/n

View full thread

🚨 "Consumption in Asset Returns" (w. Svetlana Bryzgalova & Jiantao Huang) forthcoming @ Journal of Finance We use asset returns to uncover the elusive dynamics of consumption. Turns out, financial markets know a lot about future consumption—and it matters for both macro & asset pricing 🧵👇 1/n

Most consumption-based asset pricing models rely on “dark matter”--ingredients very powerful in action, yet almost impossible to see with a naked eye or easily verify. We turn this identification problem on its head: Instead of going from consumption to returns, we go the other way round. 2/n

Christian Julliard reposted

Christian Julliard reposted

On day 4, this is a new frontier This is NOT cutting off new funds for research (see NIH review suspension) These data were already out the door It COSTS resources to yank it back This is eliminating data access so we can’t see what is happening to us

Peter Bergman@peterbergman.bsky.social

Just had our data access rescinded for a projected using federal microdata to study and reduce disparate impact in housing markets.

Christian Julliard reposted

PLEASE RT :) Submit to the annual Network Science and Economics Conference, the largest US event for network theory and empirical research in and adjacent to economics Deadline Jan 30 (soon!) Conference Apr 11-13 at Stanford

Christian Julliard reposted

"Audits of high-income taxpayers are more costly, but the additional revenue raised more than offsets the costs...the returns to marginal audits...exceed the returns to average audits...Deterrence...results in the 12:1 return above the 90th percentile." academic.oup.com/qje/article/...

academic.oup.comA Welfare Analysis of Tax Audits Across the Income Distribution*Abstract. We estimate the returns to IRS audits of taxpayers across the income distribution. We find an additional $1 spent auditing taxpayers above the 90

Time for the last teaching fine tuning, so just finished the material for the practical "how to" of robust Bayesian Asset Pricing: christianjulliard.net/bayesian-fac... Pretty happy about my first crack at R Markdown slides -- I will never show again codes in a different format. 🧪

christianjulliard.netBayesian Factor Zoo package - Christian Julliard homepageBayesian Factor Zoo package The package implements all robust asset pricing methods in Bayesian Solutions for the Factor Zoo: We Just Ran Two Quadrillion Models, (2023) and Bayesian Fama-MacBeth Regre...

Christian Julliard reposted

Christian Julliard reposted

Yes, make sure to have an updated and informative website!

Jennifer Doleac@jenniferdoleac.bsky.social

PSA: Hiring committees will look for your JMP on your website (both because it might be updated there and because job application portals are clunky/frustrating). If you're on the academic job market this year and haven't posted your full paper draft on your website yet, it is time!

Christian Julliard reposted

Economists love using linear regression to estimate treatment effects — it turns out that there are perils to this method, but also amazing perks Come with me in this 🧵 if you want to learn about our now-published paper "Contamination Bias in Linear Regressions!" 1/ (Twitter rerun!)

AEA Journals@aeajournals.bsky.social

The December 2024 issue of the American Economic Review (114, 12) is now available online at aeaweb.org/issues/785.

Christian Julliard reposted

Alright, I've got zero followers right now—let's see if this thread on my JMP can escape the depths of the internet. TL;DR: Labour market power leads to large productivity losses. Keep reading if you’re interested in misallocation, tech diffusion, and regional disparities (you should be!).

Christian Julliard reposted

The usual suspects are out there yelling "There are 23 million government workers! Fire most of them!" No awareness that most work for local governments, and most of *them* are schoolteachers. Federal employment hasn't grown since the 1950s