I believe in efficient markets the way I believe in hotel pillow menus. Someone clearly put a lot of thought into it. I’m just not sure it changes anything.

I should say upfront: I’m twenty years younger than most people who write about this. I’ve never sat on a creditor committee. I’ve never negotiated a DIP facility. What I have done is read everything I could find about the ones that went sideways, and at some point the reading turned into a fixation.

The Efficient Market Hypothesis is one of the great achievements of financial theory. Eugene Fama’s work is rigorous, internally consistent, and intellectually beautiful. In well-covered, liquid equities with thousands of analysts and algorithmic traders fighting over the third decimal point, EMH does a reasonable job of describing how prices behave. If all you do is buy large-cap stocks, you should probably just index and go fishing.

But I’m not interested in large-cap stocks. I’m interested in the debt of companies that are in some stage of falling apart. And that’s where things get strange.

Where the Textbook Stops and the Real World Starts

There’s a type of trade that gets discussed a lot in distressed circles. It goes like this: In early 2020, an investment-grade fund held a tranche of senior secured notes in a retail chain that had just been downgraded to CCC. The fund’s mandate didn’t allow holdings below B-. So they sold. Not at a price that reflected the underlying collateral, or the recovery analysis, or the restructuring timeline. They sold at whatever price would clear the position by Tuesday, because their compliance department needed it off the books.

The bonds traded at 38 cents on the dollar. The company restructured eight months later. Recoveries came in north of 70.

That’s not an inefficient market in the academic sense. The price reflected supply and demand at that moment. But “supply and demand at that moment” included a forced seller who would have paid you to take the bonds off their hands. If that’s efficiency, the word is doing more work than it should.

I wasn’t anywhere near that trade. I was in high school. But I’ve read the case backward and forward, and the mechanics of it are what pulled me into this corner of finance in the first place.

The Island of Misfit Securities

Distressed debt lives in a part of the market that EMH’s assumptions don’t really reach. Not because the theory is wrong, but because the preconditions aren’t met.

Start with liquidity. In a healthy corporate bond market, you might see ten to fifteen dealers making markets. In a distressed name trading below 50? You might have two. Maybe three, if one of them remembers they own it. The bid-ask spread alone can be five or six points. Price discovery, in that environment, is a polite fiction.

Then there’s the seller base. When a bond gets downgraded, the sellers aren’t people who’ve looked at the credit and decided it’s overvalued. They’re insurance companies with regulatory capital constraints. CLO managers hitting their CCC buckets. Index funds that mechanically remove names below a certain rating.

And they all tend to sell at the same time.

The buying side is thin because the work is genuinely hard. You’re reading indentures that run 300 pages. You’re modeling recovery scenarios across a capital structure with first lien, second lien, unsecured, and maybe some convert that was supposed to be clever. You’re trying to figure out whether the revolver lenders will play ball, whether the sponsor still cares, whether the business has a pulse or just a warm corpse. Most investors look at that and reasonably decide they’d rather own Apple.

Getting Paid to Do Homework

There’s a concept that keeps showing up in everything I read, which is the complexity premium. It’s different from a risk premium, though the two get conflated.

A risk premium compensates you for the possibility of loss. Fine. But the complexity premium compensates you for something else: the willingness to do work that other people won’t do. Reading a 2,000-page plan support agreement. Sitting on a creditor committee for eleven months while lawyers bill enough to fund a small nation. Modeling twelve different recovery scenarios and knowing that the actual outcome will probably be a thirteenth. I find this genuinely fascinating.

Most capital is not set up for this. Pension funds need liquidity. Mutual funds need daily pricing. Endowments need something they can explain to a board in under ten minutes. The barriers aren’t about intelligence. They’re about institutional plumbing.

It’s the difference between seeing a $20 bill on the ground and being willing to crawl through a sewer to pick it up.

The Efficiency Counterargument (Which I Take Seriously)

I’d be dishonest if I didn’t acknowledge that distressed markets have gotten more efficient. Twenty years ago, you could buy bank debt at 60 cents with a calculator and a phone and do extremely well. Now there are dedicated distressed funds with $10 billion under management, proprietary data platforms, and analysts who’ve spent their entire careers in restructuring.

The easy trades are mostly gone.

What remains are situations where the complexity is real, the timeline is uncertain, and the outcome depends on variables that don’t fit in a spreadsheet. Jurisdictional risk in cross-border restructurings. Litigation outcomes that hinge on a single judge’s reading of a subordination clause. The difference between a 363 sale and a plan of reorganization when you’re sitting at the fulcrum.

The edge, from what I’ve read and from every practitioner interview I can get my hands on, comes from pattern recognition built over years. From knowing which management teams will fight for the business and which ones are already negotiating their severance. From understanding that the same capital structure can produce wildly different recoveries depending on whether the first lien group is led by a cooperative long-only fund or an activist hedge fund with a grudge.

I don’t have that pattern recognition yet. I know that. But I can see the structure of why it matters, and I can see that most of the market isn’t even trying to build it.

Everyone in this business thinks they have an edge. Most of them are wrong.

Maybe I’ll be one of them.

But I’d rather spend a career being wrong in a market that’s structurally messy than right in one that’s perfectly priced.

Why It Stays This Way

A portfolio manager at a large fund knows, intellectually, that a distressed bond might be undervalued. But buying it means explaining to their risk committee why they own paper rated D. It means seeing a mark-to-market loss on the next quarterly report. It means fielding calls from consultants who want to know why the portfolio looks different from the benchmark.

Then there are mandates. Most of the money in the world is managed under rules that prevent it from going where the opportunities are. Investment-grade funds can’t hold junk. Equity funds can’t buy debt. Credit funds have concentration limits. The result is a market where large pools of capital are structurally prohibited from buying cheap assets, and the assets are cheap precisely because those pools of capital are selling them.

Fama would probably say that the risk-adjusted returns are fair. That what looks like alpha is really just compensation for tail risk, illiquidity, and complexity. He might be right.

But then you read about another forced seller dumping bonds at 30 cents into a market with no bids, and you think maybe the theory needs a footnote.

One Last Thing

There are pockets of the credit markets where prices regularly diverge from value. Not because of some exotic insight, but because the structure of the market makes it happen. Repeatedly. Predictably.

Whether that constitutes “inefficiency” is a definitional argument I’ll leave to people with tenure. I’m more interested in whether it constitutes an opportunity worth building a career around.

I think it does. Ask me again in ten years.