Managing Through Volatility

What’s striking about the current environment is just how many different forces are hitting the mortgage market at the same time, and how little room there is for clean, simple answers. You’ve got geopolitical tension driving energy prices, a pending Fed leadership transition that people keep trying to assign too much importance to, and ongoing shifts from Fannie Mae and Freddie Mac that directly impact execution. And through all of that, capital markets teams still have to do the same job: set rates, manage risk, and stay competitive.

Take specified pools as an example. These aren’t new, but they’ve become a much bigger deal. At their core, they’re about prepayment behavior: investors paying up for pools they believe will pay down more slowly. That could be driven by loan size, geography, occupancy, or a handful of other characteristics. The logic is straightforward: slower prepays mean a longer-lived asset and more yield. What’s changed is the magnitude. What used to be a modest 25- to 50-basis point story can now be 200+ basis points in some cases. That’s no longer “nice to have,” that’s make-or-break for execution.

The problem is that those pay-ups are not stable. In a volatile market, they move around, sometimes aggressively, and they’re not always posted or transparent in the same way as TBA pricing. So now you’re asking capital markets teams to set rate sheets today based on what investor demand might look like 30–45 days from now. That’s not trivial. It introduces real risk in terms of both pricing accuracy and margin management. And yes, some of that value gets passed through because it has to for competitive reasons, but not all of it, because you need a buffer against that volatility.

At the same time, the way loans are actually bought and sold has gotten much more granular. The rise of bid tapes (basically detailed loan-level datasets) means investors aren’t just pricing a pool, they’re pricing every loan inside it. That cuts both ways. If you’ve got clean, desirable characteristics, you can get paid for it. If you’ve got a mixed bag, you can get picked apart. And increasingly, even the agencies are leaning into that level of detail, using it as another tool to refine how they price and compete.

All of this sits on top of a broader shift in how markets think about rates. It’s not just about what’s happening today, it’s about where inflation is expected to go over the next several years. Oil shocks, for example, don’t just impact the next few months; they feed into longer-term expectations around inflation, which in turn shape the entire yield curve. That’s why mortgage rates tend to track the 10-year Treasury directionally, and why they don’t just snap back when headlines improve.

Which brings us to the Fed. There’s a lot of attention on leadership changes, but the reality is more mechanical than that. The Fed is a committee, not a single decision-maker, and it responds to data. Markets understand that and tend to price in expectations ahead of time. So the idea that a new chair is suddenly going to bring rates down quickly just doesn’t hold up. If rates move lower, it’ll be because inflation data and economic conditions support it, not because of a personnel change.

Meanwhile, policy and regulatory shifts continue to matter at the margins in ways that add up. Changes to condo guidelines, adjustments to capital requirements, or updates to global banking rules like Basel III all influence how much appetite there is for mortgage assets and how they’re priced. None of these moves operate in isolation, and all of them ultimately flow through to borrowers in the form of rate and execution.

The common thread is complexity. The market has become more data-driven, more segmented, and more sensitive to a wider set of inputs. That makes it harder to simplify, but it also makes it more important to stay disciplined. The shops that struggle are usually the ones reacting to each headline or trying to chase the last move. The ones that hold up better are the ones that assume volatility, build it into their process, and focus on execution rather than prediction. Trying to outguess the market has never been a strategy. Managing through it is.