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Credit and Financial Stress

OFR Financial Stress Index

36cool

Now −2.09 | Data for Oct 2026

Hot and cold describe position, not good or bad: warm does not mean a fall is coming, and an extreme reading does not mean a quick reversal. We describe history only, with no buy or sell advice.

050100OFR stress

What it is

OFR stress: what is measured, and why it matters

What it measures

A financial stress index built from 33 market variables by the US Treasury’s Office of Financial Research. Zero is average. Its volatility component is also shown.

Why it matters

When stress rises, prices of many kinds of assets often fall together. The volatility component combines volatility in stock, credit, currency and commodity markets.

Public substituteWe use this in place of “US stock volatility index (VIX)”. The VIX is derived from S&P 500 option prices and reflects the volatility of US stocks expected over the next 30 days; the volatility component of the OFR Financial Stress Index combines expected and realized volatility in stock, credit, currency and commodity markets. Both measure how much markets are swinging, but their scope and numbers differ. They measure similar things, but they are not the same number.

0 = average stress; higher = more stress.

Where it stands now

Position over time

Data: Office of Financial Research (OFR), US Department of the Treasury. Positions: our calculation.

coldcoolneutralwarmhotHatched = earlier periods that were also cool

Short sample: positions start only in 2009 (less than 30 years), so conclusions should be more cautious.

Where the components stand

ComponentsPercentileLevelData month
Volatility component60neutralOct 2026

When it was here before

Earlier cool periods (2), plus the current one

US stocks after it began, cumulative1 yr2 yr3 yr

  1. Jan 2010⁠–Jul 201567-month period, cool in 33 of those months · 2011 Euro debt crisis1 yr+14.2%2 yr+15.8%3 yr+31.8%
  2. Aug 2016⁠–Jan 202266-month period, cool in 31 of those months · 2018 February stock sell-off and 2020 Covid outbreak1 yr+13.1%2 yr+31.6%3 yr+33.5%
  3. Feb 2024⁠–⁠now33-month period, cool in 23 of those monthsStill under way

For each period, the changes 1, 2 and 3 years after it began are cumulative and measured from its first month; “What happened next” is measured from every cool month, so the two give different numbers. The events named beside each period are major events of that time, not necessarily related to the readings here.

What happened nextSample too small to draw conclusions (past cool months: 64; market episodes: 2).

Has hot or cold lined up with later returns?

Some link in the past (not a guide to the future)

2009⁠–⁠2021: average yearly change in US stocks over the next 5 years

Hottest 20%
+13.5%a year
All months
+11.5%a year
Coldest 20%
+10.3%a year

In this period, the hotter the month, the higher the average over the next 5 years. The months overlap, so there are really only a few market episodes. This is a tendency, not a rule, and not a forecast.

What it is linked to

Links involving OFR stress

OFR stresstoWorld stocksCommon explanation: Ripple · opposite direction

When financial stress and volatility jump, funds that control risk by volatility lower their stock holdings at the same time, putting pressure on stock markets

This issue: OFR stress at 36 (cool), World stocks at 72 (warm) — OFR stress below normal, World stocks above normal, in line with the common explanation (this is an inverse link).

Supported by the dataAgreement +0.50 · in step in 12 of 12 5-year periods

OFR stress and Financial stress are often linked: both measure stress in financial markets, so the same shock makes both jump. They share a common source, so we do not draw a link between them.

Values

Values over time

Unit: index. Data: Office of Financial Research (OFR), US Department of the Treasury.

Data and sources

Where the data come from and how they are calculated

Source
Office of Financial Research (OFR), US Department of the Treasury
Frequency
Monthly
Positions start
Dec 2009 (short sample)
Method
Position = the percentile of the value itself within its own history
Unit
index
License
Open license, with attribution

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