Low Volatility Is Not the Same as Low Risk

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Hernan Zuniga

Director, Product

September 2, 2026

3 min read

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Financial markets have remained resilient throughout 2026. Despite ongoing geopolitical tension and mounting talk of an AI-driven asset bubble, the Cboe Volatility Index (VIX) has drifted to multi-month lows while CDX credit default swap indexes spreads remain compressed. By the numbers, investors are not worried.

Recent guidance from the Bank for International Settlements (BIS)[1] reinforces the need for risk management frameworks that can deliver timely, comprehensive and integrated views of both market and counterparty credit risk, while adapting quickly to changing market conditions.

That calm is exactly what should give risk managers pause.

Quiet markets have a way of hiding where the pressure is building. Today's banks are better capitalized and better managed than they were heading into 2008. But strong capital positions are not the same as strong visibility. When confidence and risk detach from each other, the institutions that find themselves unprepared are rarely the ones without capital—they're the ones without a clear, current picture of their exposures when conditions turn.

That is precisely the gap regulators are now pushing firms to close. Recent guidance from the Bank for International Settlements (BIS)[1] sharpens expectations for how banks manage counterparty credit risk, calling for risk frameworks that are timely, comprehensive and, critically, integrated across market and counterparty exposures, rather than managed in separate silos that only get reconciled after the fact.

Reading market risk and counterparty credit risk together sounds straightforward. In most institutions, it still isn't.

The Real Challenge is Fragmentation

It's tempting to treat this as an infrastructure problem that can be solved by just processing trades and calculating exposures faster. But speed alone doesn't fix a fragmented view. Three challenges tend to compound at once.

  1. Data lives in different places. Market risk and counterparty credit risk are frequently run on separate systems, separate data models and separate teams, which makes a single consistent view of exposure to a counterparty under stress hard to produce on demand, let alone in real time.
  2. Stress testing rarely captures both dimensions together. Understanding how a counterparty's default risk changes as markets move, and how market moves themselves change who your riskiest counterparties are, requires the two to be modeled jointly rather than layered together after the fact.
  3. Reporting struggles to keep pace with conditions. When markets are calm, quarterly or even weekly reporting cycles feel adequate. When conditions shift quickly, as they have repeatedly in recent years, those same cycles leave institutions reacting to yesterday's risk.

None of this is news to risk teams. What has changed is the cost of leaving it unresolved. Regulators are watching more closely, markets are capable of moving faster than internal reporting cycles, and the institutions that get caught unprepared rarely get the benefit of the doubt.

A Widening Divide

Historically, closing these gaps meant a level of investment only the largest global banks could justify. That is changing. Real-time analytics, integrated risk measurement, automated stress testing and AI-enabled insight are increasingly available in forms that don't require years of custom build-out. This means the divide between institutions with an integrated view of risk and those without is now a matter of choice, not just scale.

That shift raises the real question for risk leaders heading into the second half of 2026: not whether integrated, real-time risk management is achievable, but whether your institution is choosing to close that gap before the market forces the issue.

Calm markets are not a reason to wait. They're the window to find out where your risk framework would actually break—before something breaks it for you.

Curious how leading institutions are closing the gap between market and counterparty credit risk? Contact SS&C Algorithmics to see what an integrated approach looks like.


 

1 “Guidelines for counterparty credit risk management” Basel Committee on Banking Supervision. December 2024

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