Head-to-Head Comparison
Economic TimesvsHandelsblatt
Economic Times (24.4% accuracy) vs Handelsblatt (37.5% accuracy) — detailed head-to-head comparison of market forecast reliability.
Handelsblatt is more accurate overall
Based on 41 and 104 evaluated forecasts respectively
Accuracy
24.4%vs37.5%
Evaluated Forecasts
41vs104
Articles Analyzed
0vs0
Avg. Relevance
-vs-
Sentiment & Bias Analysis
How bullish or bearish each source's forecasts tend to be.
Sentiment Distribution
Economic Times
Avg. Sentiment: 0.33
Bullish 57%Neutral 19%Bearish 24%
Handelsblatt
Avg. Sentiment: 0.26
Bullish 58%Neutral 11%Bearish 31%
Accuracy in Shared Markets
Side-by-side accuracy comparison for markets both Economic Times and Handelsblatt cover.
Accuracy by Market Context
Accuracy Over Time
90-day rolling accuracy trend for both sources overlaid on the same chart.
90-Day Accuracy Trend
Market Context Coverage
| Accuracy by Market | Economic Times | Handelsblatt |
|---|---|---|
| Bitcoin | 3 (3%) | 3 (3%) |
| DAX | — | 37 (33%) |
| India Inc | 1 (1%) | — |
| India bonds | 1 (1%) | — |
| India financial services and capex sectors | 1 (1%) | — |
| India's stock market | 1 (1%) | — |
| Indian defence stocks | 1 (1%) | — |
| Indian defense stocks | 1 (1%) | — |
| Indian markets | 2 (2%) | — |
| Indian oil stocks | 1 (1%) | — |
| Indian private banking stocks | 1 (1%) | — |
| Indian stock markets | 2 (2%) | — |
| USA | 7 (6%) | 15 (13%) |
| emerging markets | 1 (1%) | — |
| global markets | 24 (20%) | 12 (11%) |
| other | 1 (1%) | — |
| other (Acetech E-Commerce IPO) | 1 (1%) | — |
| other (Adidas stock) | — | 2 (2%) |
| other (Adidas) | — | 1 (1%) |
| other (Airbnb) | — | 1 (1%) |
| other (Asian markets) | — | 1 (1%) |
| other (Astral shares) | 1 (1%) | — |
| other (BSE 500 stocks) | 1 (1%) | — |
| other (Beiersdorf) | — | 1 (1%) |
| other (Coal India) | 1 (1%) | — |
| other (Commerzbank) | — | 1 (1%) |
| other (Coreweave) | — | 1 (1%) |
| other (Covestro) | — | 2 (2%) |
| other (Defence stocks) | 1 (1%) | — |
| other (Ebay) | — | 1 (1%) |
| other (Enel stock) | — | 1 (1%) |
| other (European construction industry) | — | 2 (2%) |
| other (European stocks) | — | 1 (1%) |
| other (German economy) | — | 2 (2%) |
| other (Germany's economy) | — | 1 (1%) |
| other (Gold market) | — | 1 (1%) |
| other (Happiest Minds Technologies) | 1 (1%) | — |
| other (India's financial markets) | — | 1 (1%) |
| other (India's market) | 1 (1%) | — |
| other (India's private credit market) | 1 (1%) | — |
| other (India's stock market) | 1 (1%) | — |
| other (Indian Rupee) | 1 (1%) | — |
| other (Indian alcohol beverage market) | 1 (1%) | — |
| other (Indian benchmark indices) | 4 (3%) | — |
| other (Indian equities) | 5 (4%) | — |
| other (Indian equity markets) | 2 (2%) | — |
| other (Indian government bonds) | 1 (1%) | — |
| other (Indian market) | 1 (1%) | — |
| other (Indian markets - Nifty) | 1 (1%) | — |
| other (Indian markets) | 2 (2%) | — |
| other (Indian metal stocks) | 1 (1%) | — |
| other (Indian oil companies) | 1 (1%) | — |
| other (Indian rupee) | 2 (2%) | — |
| other (Indian stock markets) | 1 (1%) | — |
| other (Indian stocks) | 1 (1%) | — |
| other (Innovision IPO) | 1 (1%) | — |
| other (Japan's stock market) | — | 1 (1%) |
| other (Japanese markets) | — | 2 (2%) |
| other (Japanese stock market) | — | 1 (1%) |
| other (Kering/Gucci) | — | 1 (1%) |
| other (Knorr-Bremse) | — | 1 (1%) |
| other (LG Electronics India) | 1 (1%) | — |
| other (Mercedes stock) | — | 1 (1%) |
| other (Merck stock) | — | 1 (1%) |
| other (NBFC stocks in India) | 1 (1%) | — |
| other (NSE stocks with market capitalisation above Rs 10,000 crore) | 1 (1%) | — |
| other (NSE-listed stocks) | 1 (1%) | — |
| other (Nifty 50) | 1 (1%) | — |
| other (Nifty 500 stocks) | 1 (1%) | — |
| other (Nifty index) | 1 (1%) | — |
| other (Nifty market) | 2 (2%) | — |
| other (Nifty) | 2 (2%) | — |
| other (Nifty200 stocks) | 1 (1%) | — |
| other (Nifty500 stocks) | 5 (4%) | — |
| other (Novo Nordisk stock) | — | 1 (1%) |
| other (Oil marketing companies) | 1 (1%) | — |
| other (Puma) | — | 1 (1%) |
| other (SAP) | — | 1 (1%) |
| other (SIP collections in Indian mutual funds) | 1 (1%) | — |
| other (Shanghai stock market) | — | 1 (1%) |
| other (Siemens Energy) | — | 1 (1%) |
| other (Sona Comstar stock) | 1 (1%) | — |
| other (Volkswagen Group in China) | — | 1 (1%) |
| other (banking sector) | 1 (1%) | — |
| other (banking stocks) | 1 (1%) | — |
| other (bullion market) | 1 (1%) | — |
| other (crude oil futures) | 1 (1%) | — |
| other (economic growth) | — | 1 (1%) |
| other (emerging markets) | — | 1 (1%) |
| other (life insurance stocks) | 1 (1%) | — |
| other (oil market) | 1 (1%) | — |
| other (paint stocks) | 1 (1%) | — |
| other (potential IPOs of companies like OpenAI, Anthropic, or SpaceX) | — | 1 (1%) |
| other (precious metals) | 1 (1%) | — |
| other (real estate market) | — | 2 (2%) |
| other (retail sector) | — | 1 (1%) |
| other (robotics sector) | — | 1 (1%) |
| other (stock market with focus on AI-related stocks) | — | 1 (1%) |
| other (water infrastructure sector) | 1 (1%) | — |
| technology stocks (Tech) | 9 (8%) | 5 (4%) |
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Frequently Asked Questions
Which is more reliable: Economic Times or Handelsblatt?▼
Based on our analysis, Handelsblatt has higher forecast accuracy (37.5%) compared to Economic Times (24.4%). However, accuracy can vary by market context.
How are these comparisons calculated?▼
We extract market forecasts from news articles using AI, then evaluate each prediction against actual market data. Sources are compared on overall accuracy, sentiment distribution, and per-market-context performance.
What markets do Economic Times and Handelsblatt both cover?▼
They share 4 market contexts: Bitcoin, USA, global markets, technology stocks (Tech). Each source may also cover additional markets independently.
Our Methodology
We use AI to extract market forecasts from news articles, then evaluate each prediction against actual market data using yfinance. Only sources with 3+ evaluated forecasts are ranked.