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FinObservatory

Financial conditions

How tight or loose is the financial system right now

One composed read on US and cross-country conditions: a transparent Financial Conditions Index against its own history, the Treasury yield curve and its inversions, the Basel III credit-to-GDP gap and credit impulse, the daily global stress indices (the U.S. Treasury OFR FSI and the ECB CISS), and the official Fed stress indices. Everything is built on open primary sources (FRED, BIS, the OFR, the ECB), with every series traceable to source. These are historical descriptive measures, not investment advice.

-0.68
FinObservatory FCI
Loose, 33rd pctl since 1991
+0.51 pp
10y-2y Treasury slope
positive, Aug 14, 2026
-0.55
Chicago Fed NFCI
official, loose, Aug 7, 2026
-11.5 pp
US credit-to-GDP gap
Basel III: normal, 2025Q4

Data as of Mar 31, 2026 (FinObservatory FCI)

What this is. The FinObservatory FCI is a transparent 8-component, quarterly composite (higher = tighter), not a replica of the Chicago Fed NFCI, which aggregates 105 weekly indicators and is carried here as the official benchmark. It agrees with the NFCI at the 2008 extreme, and financial conditions are not the monetary-policy stance. Where a precise read is needed, the official NFCI and STLFSI4 (below) are the authority. See the methodology for every component, window, citation, and limitation.

Financial conditions

Financial conditions are loose at the 33rd percentile

Quarterly US composite in standard deviations, 19912026. A PCA-weighted z-score of eight credit, curve, survey and market indicators, standardized to mean 0 and standard deviation 1, higher = tighter. The latest reading is -0.68 (Mar 31, 2026), looser than about 67% of all quarters. Its one extreme tight regime is the 2008–2011 global financial crisis. Shaded bands are NBER recessions.

FCI (sd, higher = tighter) · hover for values; dashed line = zero
Quarterly, 8 of the engine's 12 component slots; PC1 explains 44.0% of common variance. Recession bands from the FRED USREC series.

Source: FinObservatory macro engine (absorbed from argus), driven unmodified | FRED, Federal Reserve Bank of St. Louis Methodology

What is driving the latest reading

The eight component z-scores at the latest quarter (positive = pushing conditions tighter, negative = looser). Low credit spreads and low mortgage delinquencies are the main loosening forces.

Componentz-scorePushing
term_spread_10y3m+0.75tighter
term_spread_10y2y+0.44tighter
fed_funds+0.41tighter
vix+0.15tighter
real_credit_growth+0.06tighter
sloos_ci_tightening-0.02looser
delinq_all-0.65looser
baa_aaa_spread-0.83looser

Source: FinObservatory macro engine (absorbed from argus), driven unmodified | FRED, Federal Reserve Bank of St. Louis Component z-scores over the full 1991Q1-2026Q1 sample; three components sign-inverted so higher always = tighter. Methodology

The Treasury yield curve

The Treasury curve is positive again as of Aug 13, 2026

The current curve of constant-maturity Treasury yields (as of Aug 13, 2026), and the 10-year-minus-2-year slope back to 1976, in percent and percentage points. The slope is currently +0.51 pp (positive).

Hover a node for the exact yield
Daily constant-maturity Treasury rates (DGS series), latest observation per tenor.

Source: FRED, Federal Reserve Bank of St. Louis Methodology

The Treasury yield curve

Every recession in this sample followed a yield-curve inversion

Daily US 10-year-minus-2-year Treasury slope in percentage points, 1976–present. The slope went negative at some point in the 2 years before 6 of the 6 NBER recessions in the sample.
10y-2y slope (pp) · hover for values; dashed line = zero; red = inverted
FRED T10Y2Y, daily; gray bands are NBER recessions (FRED USREC). Red = inverted (10y below 2y); inversion computed from the data, not fixed dates. The lead count above tests each recession against the full daily series for any negative print in the prior 2 years. Chart plots each window's extreme daily prints: every point is a real observation, spikes preserved.

Source: FRED, Federal Reserve Bank of St. Louis Methodology

Credit: the Basel III gap and the credit impulse

US private credit remains far below its long-run trend

The credit-to-GDP gap is the deviation of private non-financial credit from its long-run trend, the Basel III anchor for the countercyclical capital buffer. The credit impulse is the acceleration of that credit, which tends to lead GDP. The US gap is currently -11.5 pp (normal), far below trend after the post-2008 and post-2020 deleveraging.

credit-to-GDP gap (pp) · hover for values; dashed line = zero
Engine one-sided HP filter (lambda 400,000) on the BIS credit-to-GDP ratio; reproduces BIS's own published gap to ~5e-05 pp.

Source: FinObservatory macro engine (absorbed from argus), driven unmodified | BIS credit statistics Methodology

Credit: the Basel III gap and the credit impulse

The credit impulse plunged during the 2008 deleveraging

Quarterly US credit acceleration in percentage points over the full BIS history, measured as the quarter-over-quarter 2nd difference of the broad credit-to-GDP ratio.
credit impulse (pp, QoQ) · hover for values; dashed line = zero
This constructed acceleration measure is noisier than the smoothed gap and is not a level of credit or GDP.

Source: FinObservatory macro engine (absorbed from argus), driven unmodified | BIS credit statistics Methodology

Credit-to-GDP gap across major economies, latest quarter

Where each of the nine BIS-covered major economies sits against its own long-run credit trend. Only Japan is currently above the Basel III watch threshold; the rest are all well below trend.

EconomyGap (pp)Basel III signalAs of
JPN Japan+6.8ELEVATED2025Q4
DEU Germany-4.0NORMAL2025Q4
CHN China-7.7NORMAL2025Q4
KOR South Korea-8.0NORMAL2025Q4
AUS Australia-9.9NORMAL2025Q4
USA United States-11.5NORMAL2025Q4
FRA France-15.1NORMAL2025Q4
CAN Canada-15.3NORMAL2025Q4
GBR United Kingdom-17.8NORMAL2025Q4

Source: FinObservatory macro engine (absorbed from argus), driven unmodified | BIS credit statistics Engine gap (== BIS published gap) on the BIS private-non-financial-sector credit-to-GDP ratio. Bangladesh is absent from BIS's ~43-economy set. Methodology

$115.6T
Total credit, all sectors
TCMDO, Z.1 | 2026Q1
$21.1T
Household debt
CMDEBT, Z.1 | 2026Q1
$14.5T
Nonfinancial corporate debt
BCNSDODNS, Z.1 | 2026Q1
+4.8
C&I demand, large firms
DRSDCILM, net % of banks | 2026Q2

The US credit cycle: loan demand, standards, and sectoral debt

Post-Lehman brought the sharpest tightening in the survey record

Quarterly US net percentages of banks, 1990–present. Two views of the same cycle. The Fed’s quarterly Senior Loan Officer Opinion Survey (SLOOS) reads the bank lending channel from both sides: loan demand (the net percentage of banks reporting stronger demand for commercial and industrial loans) against lending standards (the net percentage tightening them). The Z.1 Financial Accounts track the debt stock that cycle leaves behind, by sector, back to 1945. As of 2026Q2, large and middle-market C&I demand reads +4.8 (net % of banks); total US debt securities and loans outstanding stand at $115.6 trillion (2026Q1).

Demand and standards are distinct questions: banks reporting weaker demand tell you borrowers are pulling back; banks tightening standards tell you credit supply is. The sharpest net tightening of standards on record is +83.6 (2008Q4, the post-Lehman quarter); the weakest large-firm demand is -70.2 (2001Q4, the dot-com downturn). All values are net percentages of banks, not loan volumes. Shaded bands are NBER recessions.

Demand, large/mid firms DRSDCILMDemand, small firms DRSDCISStandards (net tightening) DRTSCILM
Hover for values; dashed line = zero
Quarterly. Demand series begin 1991Q4; the standards series (DRTSCILM, also an FCI component) reaches back to 1990Q2 and is read from the existing FRED spine, not duplicated.

Source: Board of Governors, Senior Loan Officer Opinion Survey (release 191, via FRED) | FRED, Federal Reserve Bank of St. Louis Methodology

The US credit cycle: loan demand, standards, and sectoral debt

Federal debt has risen past both private sectors

US Z.1 debt securities and loans outstanding by sector in nominal USD trillions, 1945–present. Household debt ($21.1T) plateaued relative to its pre-2008 trajectory after the GFC deleveraging; federal debt ($34.5T) has risen past both private sectors since 2008. Nominal levels, not deflated or scaled by GDP.

Federal government FGSDODNSHouseholds and nonprofits CMDEBTNonfinancial corporate BCNSDODNS
Hover for values
Quarterly levels (millions of USD at source, shown in trillions); annual Q4-dated observations 1945-1951, quarterly from 1952Q1.

Source: Board of Governors, Z.1 Financial Accounts of the United States (release 52, via FRED) | FRED, Federal Reserve Bank of St. Louis Methodology

3.62%
SOFR, overnight
NY Fed | Aug 13, 2026
3.63%
EFFR
NY Fed | Aug 13, 2026
3.503.75%
FOMC target range
Aug 13, 2026
3.64%
SOFR 30-day average
compounded | Aug 14, 2026

Money markets: SOFR, EFFR, and the FOMC target range

SOFR and EFFR are inside the Fed's target range

Daily US overnight rates in percent, 2016–present. These rates anchor the short end of the curve. SOFR, the Secured Overnight Financing Rate, is the volume-weighted median of overnight Treasury repo and is the successor benchmark to USD LIBOR; EFFR, the Effective Federal Funds Rate, is the volume-weighted median of overnight unsecured interbank lending and is the rate the FOMC steers into its target range. Latest SOFR is 3.62% and EFFR 3.63% (Aug 13, 2026), both inside the FOMC target range of 3.503.75%; the 30-day compounded SOFR average is 3.64%. These NY Fed reference rates are the canonical short-rate source here, superseding any single SOFR series carried on the FRED spine. These are the rates; the corresponding repo and money-fund volumes have their own page.

Both overnight rates sit inside the shaded target band in normal times. Three departures stand out: the September 17, 2019 repo spike, when a collateral-and-reserves squeeze drove SOFR to 5.25% (its 99th percentile hit 9.00%) far above the band; the March 2020 cut to the zero lower bound (target 0–0.25%); and the March 2023 SVB week. SOFR is secured and starts at its 2018 inception, so its line begins mid-chart.

SOFREFFRFOMC target range
Hover for SOFR, EFFR and the target range; shaded band = FOMC target
Daily, NY Fed Markets Data API; SOFR/EFFR/SOFR-averages carried unaltered. FOMC target range published alongside EFFR. Chart plots each window's extreme daily prints: every point is a real observation, spikes preserved.

Source: Federal Reserve Bank of New York, Reference Rates (Markets Data API) Methodology

New York Fed reference-rate notice. “The SOFR, the EFFR, and the SOFR Averages are subject to the Terms of Use posted at newyorkfed.org. The New York Fed is not responsible for publication of these rates by FinObservatory, does not sanction or endorse any particular republication, and has no liability for your use.”

US monetary policy

The federal funds rate reached double digits under Volcker

Weekly US effective federal funds rate in percent, 1954–present, from the 1.13% first print in 1954 through the Volcker peak to today. The NY Fed’s own EFFR history starts Jul 3, 2000; earlier values (the gray segment) are the Board of Governors’ H.15 daily federal funds rate distributed via FRED (series DFF, source fred_dff_h15). Shown at weekly frequency (the last print of each week) so the uniform daily FRED segment and the business-day NY Fed segment share one honest time axis; the two colors are the two sources, not a break in the rate.

Federal funds rate, pre-2000 fred_dff_h15NY Fed EFFR, 2000+ nyfed_markets_api
Hover for values
Weekly (last print each week), 3,764 weeks. Pre-2000-07-03 segment is FRED DFF (H.15, 7-day daily); NY Fed EFFR (business days) thereafter. The splice was cross-checked: the two sources agree on every sampled overlap date.

Source: Federal Reserve Bank of New York, Reference Rates (Markets Data API) | Board of Governors H.15 via FRED, series DFF (pre-2000 EFFR) Methodology

The natural rate of interest: r-star

Where does policy stand relative to neutral? The NY Fed's Holston-Laubach-Williams model puts the US natural rate of interest, the real short rate consistent with full strength and stable inflation, at 1.06% in 2026Q1 (the original Laubach-Williams model reads 1.70%). The comparable real policy rate, built here as the effective federal funds rate (FRED FEDFUNDS) averaged over the same quarter minus 12-month core PCE inflation (FRED PCEPILFE) averaged over that quarter, is 0.50% (3.64% nominal less 3.14% inflation): -0.55 pp below the HLW natural rate on this construction.

1.06%
HLW r-star, US
one-sided | 2026Q1
1.70%
LW r-star, US
one-sided | 2026Q1
0.50%
Real policy rate
FEDFUNDS minus core PCE | 2026Q1
-0.55 pp
Gap vs HLW r-star
real rate below neutral

The natural rate of interest: r-star

US r-star has only partly recovered from its post-GFC low

Quarterly US natural-rate estimates in real percentage points, 1961–present. The series fell from around 5% in the 1960s to a post-GFC low just above half a percent in 2014, and only a partial recovery since. Trend growth (HLW g, not charted) is 2.42% in 2026Q1, so the low r-star is carried by the model's negative other-determinants component, not by growth.

Holston-Laubach-Williams HLWLaubach-Williams LW
Hover for values; dashed line = zero
Quarterly, one-sided (filtered) estimates, 261 quarters. The r* = c*g + z identity was re-derived on every row at build using the files' own parameters. The real-rate construction is FinObservatory's, stated above; HLW itself uses different inflation expectations.

Source: Federal Reserve Bank of New York, Measuring the Natural Rate of Interest | Holston, Laubach and Williams (2023), NY Fed Staff Reports no. 1063; Laubach and Williams (2003), Review of Economics and Statistics 85(4) Methodology

Estimate uncertainty. These are filtered model estimates, not observations. The NY Fed's own parameter table puts the sample-average standard error of the US HLW r-star at 1.18 pp, larger than the 2026Q1 estimate itself, and the page states: “The Laubach-Williams and Holston-Laubach-Williams estimates are not official forecasts of the Federal Reserve Bank of New York, its president, the Federal Reserve System, or the Federal Open Market Committee.”

Household inflation expectations

One-year inflation expectations remain above the three-year view

Monthly median US household inflation expectations in percent since 2013 (158 surveys). The Survey of Consumer Expectations asks a rotating panel of household heads where inflation is going. In July 2026 the median respondent expected 3.6% inflation over the next year (from 3.7% the month before) and 3.3% at the three-year horizon. Disagreement is wide: the middle half of one-year answers spans 2.2% to 6.0%. The one-year median peaked at 6.8% in June 2022, the post-pandemic inflation shock.

1-year ahead SCE1Y3-year ahead SCE3Y
Hover for values
Median point forecasts come from the survey's density questions; the interactive-chart data download is ingested unaltered.

Source: Federal Reserve Bank of New York, Survey of Consumer Expectations Methodology

Required attribution. “Source: Survey of Consumer Expectations, © 2013-2026 Federal Reserve Bank of New York (FRBNY). The SCE data are available without charge at http://www.newyorkfed.org/microeconomics/sce and may be used subject to license terms posted there. FRBNY disclaims any responsibility or legal liability for this analysis and interpretation of Survey of Consumer Expectations data.”

The US household balance sheet

Household debt by product and its delinquency, from the New York Fed’s Consumer Credit Panel (an anonymized 5% sample of Equifax credit files). Total household debt stands at $18.79 trillion (2026Q1), of which mortgages are $13.19 trillion (70.2% of the total). The stress is concentrated in unsecured revolving credit: credit-card balances 90+ days delinquent have reached 13.12%, against just 1.09% on mortgages.

$18.79T
Total household debt
NY Fed CCP | 2026Q1
70.2%
Mortgage share
$13.19T of balances
13.12%
Credit-card 90+ delinquency
2026Q1
1.09%
Mortgage 90+ delinquency
2026Q1

Household debt

Mortgages dominate the US household balance sheet

Quarterly US debt balances outstanding by product in nominal USD trillions, 2003Q1–present. Mortgages dominate the balance sheet; the non-housing products (auto, student, credit card) are the smaller, faster-moving lines.

Mortgage MTGCredit card CCAuto loan AUTOStudent loan STUDHE revolving HELOCOther OTHER
Hover for values
Balances are measured at quarter-end. Total household debt is not charted and is the sum across products.

Source: New York Fed, Quarterly Report on Household Debt and Credit (Consumer Credit Panel / Equifax) Methodology

Household debt stress

Credit cards and student loans carry the highest 90-day delinquency

Quarterly US 90-day delinquency by product in percent of balance, 2003Q1–present. A loan is counted after 90 or more days delinquent. Mortgages, cleaned out by post-2008 underwriting, sit near the floor; credit cards and student loans carry the highest delinquency.

Mortgage MTGCredit card CCAuto loan AUTOStudent loan STUDHE revolving HELOCOther OTHER
Hover for values
Student-loan delinquency is distorted by pandemic-era payment pauses over 2020–2024.

Source: New York Fed, Quarterly Report on Household Debt and Credit (Consumer Credit Panel / Equifax) Methodology

The lender of last resort: the Federal Reserve discount window

Loan-level discount-window borrowing, aggregated by credit type. Primary credit is the standby facility for sound banks; secondary and seasonal credit are narrower programs. The single largest quarter is 2023Q1, when primary-credit borrowing summed to $3.14T across 701 distinct borrowers, in the week of the Silicon Valley Bank failure. These are loan originations summed over the quarter, a flow, not outstanding balances. Primary credit is dominated by overnight loans re-originated every business day, so the summed flow far exceeds the point-in-time stock: the Fed’s H.4.1 release shows primary credit outstanding peaking near $153 billion the week ending March 15, 2023, more than twenty times smaller than the $3.14T of originations that same quarter. Over the full record (2010Q32024Q2), all credit types sum to $4.20T of originations. Aggregates only: no borrower is named.

$3.14T
Peak primary-credit originations
2023Q1, summed over the quarter
701
Distinct borrowers that quarter
2023Q1
~$153bn
H.4.1 outstanding peak
stock, week ending Mar 15, 2023
$4.20T
Total originations
2010Q32024Q2

Federal Reserve liquidity

Primary-credit originations dwarfed every other quarter after the regional-bank failures

US discount-window originations summed within each quarter in USD billions, 2010Q32024Q2. The 2023Q1 primary-credit spike (mostly the two FDIC bridge banks after the March 2023 failures) dwarfs every other quarter on this flow basis, which is exactly why the originations-vs-outstanding distinction matters. Secondary and seasonal credit are small throughout; two quarters carry no secondary or seasonal loans and break those lines rather than reading zero.

Primary credit PRIMARYSecondary credit SECONDARYSeasonal credit SEASONAL
Hover for values
Aggregates only, never borrower names. Values are originations SUMMED over each quarter (a flow), not outstanding balances (a stock). Published on the ~2-year Dodd-Frank section 1103 lag, so coverage ends at 2024Q2.

Source: Board of Governors, Discount Window loan-level disclosures (Dodd-Frank section 1103) Methodology

41.4
CAPE, latest
July 2026
99th
Percentile since 1881
1,747 monthly obs.
44.2
All-time high
December 1999
4.8
All-time low
December 1920

US equity valuations

US equity valuations rank at the 99th percentile since 1881

Monthly US cyclically adjusted price-to-earnings ratio from 18812026. CAPE (P/E10) is the real S&P Composite price divided by the ten-year average of real earnings, Robert Shiller’s standard gauge of how richly US equities are valued relative to their own long history. The latest available reading is 41.4 (July 2026), richer than about 99% of all months. Its all-time high is 44.2 (December 1999, the dot-com peak); its all-time low is 4.8 (December 1920). This is a descriptive valuation measure, not a market-timing signal or investment advice.

CAPE (P/E10) · hover for values
Monthly, 1881–2026-07. No explicit open-data license: freely downloadable research data, displayed here with citation to Shiller. The shipped vintage ends July 2026, so "latest" is the most recent published observation, not today.

Source: Robert J. Shiller, ie_data (shillerdata.com) Methodology

For the other side of the global monetary picture, see how the world holds its reserves: reserve-currency composition.

Global financial stress

Two official daily stress indices that both span the 2008 and 2020 crises. The OFR Financial Stress Index is the U.S. Treasury Office of Financial Research’s market-based gauge, built as the sum of stress contributions from the United States, other advanced economies and emerging markets, and centered so zero is its long-run average. The ECB CISS is the European Central Bank’s composite indicator of systemic stress, bounded in [0, 1] and constructed to rise when several market segments are stressed at once. Both are official indices carried here unaltered, and both currently read well below their crisis levels.

Global financial stress

Market stress is calmer than 76% of trading days since 2000

Daily global financial-stress index in points, 20002026; higher means more stressed and zero is the long-run average. The latest reading is -2.74 (Aug 12, 2026), at the 24th percentile of its history. Its all-time peak is the October 2008 global financial crisis; the March 2020 COVID crash is the second spike. Shaded bands are NBER recessions.

OFR FSI (0 = long-run average) · hover for values; dashed line = zero
Daily, U.S. Treasury Office of Financial Research; public domain. Recession bands from the FRED USREC series. Chart plots each window's extreme daily prints: every point is a real observation, spikes preserved.

Source: OFR Financial Stress Index, U.S. Treasury Methodology

Latest regional stress contributions, Aug 12, 2026

-0.55
Emerging markets
subtracting stress
-0.82
Other advanced economies
subtracting stress
-1.37
United States
subtracting stress

OFR builds the composite as the sum of these three regional contributions, so they decompose the headline reading above (to rounding).

Global financial stress

Euro-area stress is at the 13th percentile since 1980

Daily euro-area composite indicator of systemic stress from 19802026, on an index bounded in [0, 1] (higher means more systemic stress). The latest reading is 0.009 (Aug 4, 2026). Three peaks stand out: the post-Lehman 2008 crisis (the series maximum), the 2011–2012 euro sovereign-debt crisis, and the March 2020 COVID shock.

CISS (0 to 1, higher = more stress) · hover for values; dashed line = zero
Daily, ECB Data Portal (dataset CISS); free with attribution. Method: Hollo, Kremer and Lo Duca (2012), ECB Working Paper 1426. Chart plots each window's extreme daily prints: every point is a real observation, spikes preserved.

Source: ECB CISS, European Central Bank Data Portal Methodology

Latest CISS by country version, most-stressed first

AreaCISS (0–1)As of
BE Belgium0.045Aug 4, 2026
US United States0.027Aug 4, 2026
CN China0.020Jul 31, 2026
IT Italy0.016Aug 4, 2026
DE Germany0.015Aug 4, 2026
IE Ireland0.011Aug 4, 2026
U2 Euro area0.009Aug 4, 2026
PT Portugal0.009Aug 4, 2026
GB United Kingdom0.008Aug 4, 2026
NL Netherlands0.007Aug 4, 2026
AT Austria0.005Aug 4, 2026
ES Spain0.005Aug 4, 2026
FR France0.005Aug 4, 2026
FI Finland0.004Aug 4, 2026

14 areas carry the daily CISS. Greece has no daily version (only a monthly sovereign sub-index) and is absent by construction, not omitted. China (CN) lags the others by a few days.

Global financial stress

Supply-chain pressure is at the 88th percentile since 1998

Monthly global supply-chain pressure in standard deviations from its 1998–present average (that average is 0.01), across 343 observations since 1998; the GSCPI is a real-economy gauge, not a financial-stress index, and combines transportation and manufacturing data across the major economies. The latest reading is +0.80 (July 2026), down from +1.19 the month before. Pressure peaked at +4.44 in December 2021, the post-pandemic supply-chain crunch, and troughed at -1.59 in May 2023.

GSCPI (standard deviations from mean) · hover for values; dashed line = zero
The NY Fed page states: "We update the GSCPI at 10:00 a.m. on the fourth business day of each month." The data are ingested unaltered from the interactive-chart workbook, and recent months revise with each release. Attribution required by the NY Fed Terms of Use: "(c) 2026 Federal Reserve Bank of New York. Content from the New York Fed subject to the Terms of Use at newyorkfed.org."

Source: Federal Reserve Bank of New York, Global Supply Chain Pressure Index Methodology

Official stress indices, side by side

These authoritative financial-stress gauges are each oriented so higher = more-stressed. They are the official indices from the Federal Reserve Banks of Chicago, St. Louis, and Kansas City (NFCI, STLFSI4, KCFSI), the U.S. Treasury (OFR FSI), and the European Central Bank (CISS), distinct from the FinObservatory FCI above (our own transparent, long-history composite, shown for contrast). Latest readings are shown in each publisher’s own units.

-0.55
Chicago Fed NFCI
Chicago Fed | Aug 7, 2026
-0.77
St. Louis Fed STLFSI4
St. Louis Fed | Aug 7, 2026
n/a
Kansas City Financial Stress Index
Federal Reserve Bank of Kansas City | Index, Not Seasonally Adjusted | awaiting refresh
-2.74
OFR FSI
U.S. Treasury OFR | Aug 12, 2026
0.009
ECB CISS (euro area)
ECB | Aug 4, 2026
-0.68
FinObservatory FCI
FinObservatory (transparent) | Mar 31, 2026

Source: FRED, Federal Reserve Bank of St. Louis | OFR Financial Stress Index, U.S. Treasury | ECB CISS, European Central Bank Data Portal NFCI, STLFSI4 and KCFSI (Federal Reserve), OFR FSI (U.S. Treasury) and CISS (ECB) are official indices on different scales; the FinObservatory FCI is our own composite, shown alongside for contrast, not as an equal authority. Values are each index's own units, not cross-comparable levels. Methodology

How does today compare to 2007 and 2020

7 stress indicators (all oriented so higher = more stressed, all covering both crises) at today’s reading, at their most-stressed reading during the 2007–2009 global financial crisis, and during the 2020 COVID crash.

IndicatorTodayGFC peak (2008)COVID peak (2020)
FinObservatory FCI
index (sd)
Quarterly; the March-2020 spike averages out (a documented limitation), so its COVID column is near zero.
-0.68
Mar 31, 2026
2.53
Dec 31, 2008
0.13
Jun 30, 2020
Chicago Fed NFCI
index (sd)
-0.55
Aug 7, 2026
3.10
Nov 28, 2008
0.31
Apr 3, 2020
St. Louis Fed Financial Stress Index
index (sd)
-0.77
Aug 7, 2026
9.68
Oct 10, 2008
5.66
Mar 20, 2020
OFR Financial Stress Index
index (0 = long-run average)
Daily, US Treasury OFR; sum of regional stress contributions.
-2.74
Aug 12, 2026
29.32
Oct 10, 2008
10.27
Mar 19, 2020
ECB CISS, euro area
index (0 to 1)
Daily, ECB; systemic-stress composite bounded in [0, 1].
0.01
Aug 4, 2026
0.94
Nov 20, 2008
0.69
Apr 1, 2020
VIX
annualized %
14.63
Aug 13, 2026
80.86
Nov 20, 2008
82.69
Mar 16, 2020
Moody's Baa minus 10y Treasury
percentage points
1.67
Aug 13, 2026
6.16
Dec 4, 2008
4.31
Mar 23, 2020

Source: FinObservatory macro engine (absorbed from argus), driven unmodified | FRED, Federal Reserve Bank of St. Louis | OFR Financial Stress Index, U.S. Treasury | ECB CISS, European Central Bank Data Portal Most-stressed reading within each crisis window (2007-01 to 2009-12; 2020). Each indicator is in its own units, not cross-comparable levels. The FinObservatory FCI is quarterly, so its brief-and-averaged-out March-2020 spike reads near zero, a documented limitation. Methodology

See the full methodology for the FCI component set and PCA construction, the Basel III one-sided-HP credit gap, the credit-impulse definition, the curated panel, the NFCI validation, and every stated limitation.