Data to 5 October 2026

Is the world helping or hurting Indian shares?

How have the world's markets done, in rupees too?

Returns for the major markets against the Nifty 50, in local currency and converted to rupees, and how closely India moves with each. Only returns, correlations and drawdowns are shown: index levels belong to their providers.

Written for investors in international funds, and anyone asking whether India is moving with the world. Data to 5 Oct 2026.

Nifty 50 and S&P 500, 1-year correlation

0.45
correlation of weekly returns, 5 Oct 2026

Inside its usual range of 0.37 to 0.55. The record is 0.81, in March 2020. Up from 0.33 a year ago.

201020200.200.400.600.800.81, Mar 2020usual range, 0.37 to 0.550.4520102015202020250.200.400.600.800.81, Mar 20200.17, Dec 2019usual range, 0.37 to 0.550.4520102015202020250.200.400.600.800.81, Mar 20200.17, Dec 2019usual range, 0.37 to 0.550.45200620082010201220142016201820202022202420260.200.400.600.800.81, Mar 20200.17, Dec 2019usual range, 0.37 to 0.550.45

What it is. How closely weekly moves in the Nifty 50 and the S&P 500 have tracked each other over the last year.

How to read it. 1 means they move together, 0 means unrelated. Correlations jump in global sell-offs, just when diversification is wanted.

Source: Overseas indices Method Data Full history and numbers

Returns

Price returns over set horizons, in each market's own currency, with this year's return converted to rupees in the last column. For an Indian investor the rupee column is the one that counts. Below, the last twelve calendar years, coloured from losses to gains.

Price returns to 5 Oct 2026, %. 3- and 5-year returns are annualised. * Built from a broker's index quotes, which drift slightly from official closes since November 2024 (median 0.3%); see the method note.
MarketRegion1 week1 monthThis year1 year3 years, a year5 years, a yearThis year, in ₹More
Nifty 50India−1.0%−5.6%−13.7%−9.4%4.9%4.8%−13.7%
S&P 500United States1.2%0.7%13.6%15.8%22.2%12.3%21.7%
Dow Jones Industrial Average *United States−0.4%−4.0%6.7%9.6%15.7%8.4%14.3%
Nasdaq CompositeUnited States2.5%3.7%18.2%20.6%27.6%13.7%26.7%
Nasdaq-100United States2.6%5.2%23.1%25.4%28.3%16.2%31.9%
FTSE 100 *United Kingdom−2.2%−3.1%5.3%10.9%11.7%8.3%10.6%
DAX *Germany−1.2%−3.2%3.2%3.6%18.8%10.7%5.4%
CAC 40 *France−3.0%−5.5%−3.9%−3.0%3.8%3.6%−1.8%
Nikkei 225 *Japan5.5%7.2%38.3%52.7%31.0%20.2%46.3%
Hang Seng *Hong Kong−2.6%−6.6%−6.5%−11.5%11.7%−0.1%−0.6%
Shanghai Composite *China−2.3%−2.8%−3.1%−1.0%7.3%1.5%7.9%
S&P/ASX 200 *Australia0.1%−3.7%−0.4%−3.4%7.8%3.7%11.2%
Calendar-year price return in local currency, %. Colour saturates at ±40%.
201520162017201820192020202120222023202420252026 YTD
Nifty 50 −4+3+29+3+12+15+24+4+20+9+11−14
S&P 500 −1+10+19−6+29+16+27−19+24+23+16+14
Dow Jones Industrial Average −2+13+25−6+22+7+19−9+14+13+13+7
Nasdaq Composite +6+8+28−4+35+44+21−33+43+29+20+18
Nasdaq-100 +8+6+32−1+38+48+27−33+54+25+20+23
FTSE 100 −5+14+8−12+12−14+14+1+4+6+22+5
DAX +10+7+13−18+25+4+16−12+20+19+23+3
CAC 40 +9+5+9−11+26−7+29−10+17−2+10−4
Nikkei 225 +90+19−12+18+16+5−9+28+19+26+38
Hang Seng −70+36−14+9−3−14−15−14+18+28−6
Shanghai Composite +9−12+7−25+22+14+5−15−4+13+18−3
S&P/ASX 200 −2+7+7−7+18−1+13−5+8+7+70

Is India moving with the world?

Correlation measures how closely weekly returns move together, from −1 (opposite) through 0 (unrelated) to 1 (in step). Beta measures size: how far the Nifty moved, on average, for a 1% move in the other market. Both are measured over the past 52 weeks, so they drift.

0.39
5 Oct 2026, a year ago 0.33

Nifty 50 and S&P 500: rolling 1-year correlation

Correlation of weekly returns over the past 52 weeks.

How to read it. Choose a market. The higher the line, the less that market diversifies an Indian portfolio. Correlations tend to rise in global sell-offs.

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Source: Overseas indices: Kite Connect GLOBAL daily candles (internal, personal-use licence), replaced by official series where public ones exist (S&P 500: FRED SP500 from 2016-05-31; Nasdaq Composite and Nasdaq-100: Nasdaq Global Index Watch). Nifty 50: niftyindices price index. FX: ECB euro reference rates.
Method JSON

Nifty 50's correlation with four markets

Rolling 52-week correlation of weekly returns.

How to read it. Four markets on one scale. When the lines bunch together, India is moving with the world as a whole; when they spread, its links differ by region.

S&P 500Hang SengNikkei 225FTSE 100

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Source: Overseas indices: Kite Connect GLOBAL daily candles (internal, personal-use licence), replaced by official series where public ones exist (S&P 500: FRED SP500 from 2016-05-31; Nasdaq Composite and Nasdaq-100: Nasdaq Global Index Watch). Nifty 50: niftyindices price index. FX: ECB euro reference rates.
Method JSON

Nifty 50's beta to the S&P 500 and Hang Seng

Rolling 52-week.

How to read it. A beta of 0.5 means the Nifty moved half as much as that market, on average. A low beta with a high correlation means India moves in step but by less.

S&P 500Hang Seng

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Source: Overseas indices: Kite Connect GLOBAL daily candles (internal, personal-use licence), replaced by official series where public ones exist (S&P 500: FRED SP500 from 2016-05-31; Nasdaq Composite and Nasdaq-100: Nasdaq Global Index Watch). Nifty 50: niftyindices price index. FX: ECB euro reference rates.
Method JSON

Distance from the high

How far each market sits below its highest close since 2004, in percent. Zero means it is at a record. Peaks are searched from the same start date for every market, so the lines compare.

Fall from the previous peak

Weekly, price index, %.

How to read it. The depth shows the size of each fall; the width shows how long recovery took. A line that stays below zero for years has not regained its old high.

Nifty 50S&P 500Nikkei 225Hang Seng

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Source: Overseas indices: Kite Connect GLOBAL daily candles (internal, personal-use licence), replaced by official series where public ones exist (S&P 500: FRED SP500 from 2016-05-31; Nasdaq Composite and Nasdaq-100: Nasdaq Global Index Watch). Nifty 50: niftyindices price index. FX: ECB euro reference rates.
Method JSON

Currencies and commodities

The rupee against the major currencies, two dollar indices, gold and Brent crude, over the same horizons. For currencies, a positive move means the rupee, or the dollar's counterpart, weakened.

Percent moves. For currencies, positive means the rupee (or the dollar's counterpart) weakened.
Series1 week1 monthThis year1 year5 years, a yearMore
US dollar in rupees (CCIL)0.4%2.0%7.2%8.5%5.3%
Euro in rupees (ECB)−1.2%−1.8%2.2%3.6%4.5%
Pound in rupees (ECB)0.0%−0.4%5.2%6.7%4.6%
Yen in rupees (ECB)−0.5%0.6%6.1%1.0%−1.9%
US dollar index (ICE)1.1%3.2%4.1%4.6%1.7%
Fed broad dollar index0.9%2.4%1.4%0.8%1.2%
Gold in India, rupees (WGC)−1.6%−3.3%10.4%26.4%26.2%
Gold in dollars (LBMA, WGC)−1.1%−6.6%−5.3%4.7%18.6%
Brent crude, dollars (EIA via FRED)−0.8%27.0%85.8%65.2%7.9%
Brent crude, rupees−0.5%27.7%98.2%78.5%13.6%
Calendar-year % change. Colour saturates at ±30%.
201520162017201820192020202120222023202420252026 YTD
US dollar in rupees (CCIL) +5+3−6+9+2+2+2+11+1+3+5+7
Euro in rupees (ECB) −6−1+7+4+1+12−6+5+4−3+19+2
Pound in rupees (ECB) 0−15+3+3+6+6+1−1+6+1+13+5
Yen in rupees (ECB) +4+6−2+12+4+8−9−3−6−7+5+6
US dollar index (ICE) +9+4−10+40−7+7+8−2+7−9+4
Fed broad dollar index +11+4−7+5−1−3+4+5−2+9−7+1
Gold in India, rupees (WGC) −7+11+5+8+23+28−4+14+16+20+76+10
Gold in dollars (LBMA, WGC) −12+8+13−1+18+25−40+15+26+67−5
Brent crude, dollars (EIA via FRED) −34+50+21−24+34−24+51+7−6−4−18+86
Brent crude, rupees −30+54+15−17+37−23+53+19−6−1−14+98

The workings

Method

Data

Every chart has a table view, a CSV download and a link to its published JSON. Bundles are listed in data status.

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