Own the gold standard ✨ in financial data & analytics
fair value · 20 million securities worldwide · 50 year history · 10 year estimates · leading business news

Subscribe for $2
Analyse
Profile
🇩🇪

Germany Composite Leading Indicator

Price

100.031 Points
Change +/-
+0.287 Points
Percentage Change
+0.29 %

The current value of the Composite Leading Indicator in Germany is 100.031 Points. The Composite Leading Indicator in Germany increased to 100.031 Points on 4/1/2024, after it was 99.745 Points on 3/1/2024. From 1/1/1961 to 5/1/2024, the average GDP in Germany was 100 Points. The all-time high was reached on 5/1/1969 with 103.65 Points, while the lowest value was recorded on 4/1/2020 with 90.74 Points.

Source: OECD

Composite Leading Indicator

  • 3 years

  • 5 years

  • 10 years

  • 25 Years

  • Max

Composite Leading Indicator

Composite Leading Indicator History

DateValue
4/1/2024100.031 Points
3/1/202499.745 Points
2/1/202499.489 Points
1/1/202499.28 Points
12/1/202399.122 Points
11/1/202399.005 Points
10/1/202398.923 Points
9/1/202398.89 Points
8/1/202398.924 Points
7/1/202399.037 Points
1
2
3
4
5
...
76

Similar Macro Indicators to Composite Leading Indicator

NameCurrentPreviousFrequency
🇩🇪
Automobile production
313,700 Units320,585 UnitsMonthly
🇩🇪
Bankruptcies
1,802 Companies1,785 CompaniesMonthly
🇩🇪
Business Climate
88.6 points89.3 pointsMonthly
🇩🇪
Capacity Utilization
77.4 %80.2 %Quarter
🇩🇪
Changes in Inventory Levels
27.586 B EUR4.847 B EURQuarter
🇩🇪
Composite PMI
50.6 points52.4 pointsMonthly
🇩🇪
Corporate profits
216.172 B EUR222.805 B EURQuarter
🇩🇪
Electric Vehicle Registrations
30,762 Units43,412 UnitsMonthly
🇩🇪
Electricity Spot Prices
75.42 EUR/MWh75.03 EUR/MWhfrequency_null
🇩🇪
Factory Orders
2.9 %4.6 %Monthly
🇩🇪
Ifo Business Climate Index
86.5 points87.1 pointsMonthly
🇩🇪
Ifo Expectations
86.8 points86.9 pointsMonthly
🇩🇪
Industrial production
-3.9 %-4.3 %Monthly
🇩🇪
Industrial Production MoM
-0.1 %-0.4 %Monthly
🇩🇪
Manufacturing PMI
43.5 points45.4 pointsMonthly
🇩🇪
Manufacturing Production
-3.5 %-4.5 %Monthly
🇩🇪
Mining Production
-5.3 %-6.8 %Monthly
🇩🇪
New Orders
83.6 points83.8 pointsMonthly
🇩🇪
Passenger Car Registrations YoY
-2.1 %6.1 %Monthly
🇩🇪
Services PMI
51.2 points52.5 pointsMonthly
🇩🇪
Steel production
3.1 M Tonnes3.2 M TonnesMonthly
🇩🇪
Vehicle Registrations
197,322 Units238,263 UnitsMonthly
🇩🇪
ZEW Current Situation
-73.8 points-72.3 pointsMonthly
🇩🇪
ZEW Economic Sentiment Index
47.5 points47.1 pointsMonthly

The Composite Leading Indicator (CLI) is crafted to offer early warnings of turning points in business cycles, indicating fluctuations in economic activity around its long-term potential level. CLIs illustrate short-term economic movements in qualitative rather than quantitative terms.

What is Composite Leading Indicator?

The Composite Leading Indicator (CLI) is an indispensable tool in the realm of macroeconomics, offering a nuanced understanding of the future phases of economic activity. At Eulerpool, a premier platform for macroeconomic data, we recognize the profound importance of CLIs and strive to provide detailed and insightful coverage of this crucial economic metric. A Composite Leading Indicator is essentially a statistical measure that aggregates multiple leading indicators into a single index. These leading indicators are economic variables that historically change before the economy as a whole, providing early signals about the direction and magnitude of upcoming economic activity. By combining several indicators, a CLI aims to offer a more reliable and comprehensive forecast, mitigating the risks associated with relying on any single indicator. The primary function of a CLI is to forecast turning points in economic activity—points where an economy shifts from expansion to contraction or vice versa. This predictive capability is particularly valuable for policymakers, investors, and business leaders who need to make informed decisions based on anticipated economic conditions. To construct a CLI, analysts select a set of leading indicators, which are then weighted and combined based on their historical performance and relevance to the economy. Typical components of a CLI might include variables such as stock market prices, consumer confidence indices, manufacturing orders, and interest rate spreads. By capturing a broad spectrum of economic activities, from consumer behavior to financial markets, CLIs provide a holistic and forward-looking measure of economic performance. One of the key advantages of a CLI is its ability to synthesize complex and multifaceted economic data into a single, comprehensible index. This simplicity is a powerful tool for decision-makers, facilitating quick yet informed assessments of economic trends. Furthermore, because CLIs are derived from multiple indicators, they tend to offer a robust signal that is less susceptible to the noise and volatility that can affect individual data points. At Eulerpool, we prioritize accuracy and transparency in our presentation of CLIs. We ensure that our users have access to up-to-date and meticulously curated data, enhancing their ability to predict and respond to economic developments. Our platform not only displays the composite index but also allows users to delve into the individual components, providing a granular view of the underlying economic variables. The application of CLIs extends across various domains. In monetary policy, central banks often rely on CLIs to gauge the future state of the economy and adjust their policy stance accordingly. By anticipating economic downturns, policymakers can implement preemptive measures to mitigate negative impacts. Similarly, in the realm of investment, CLIs serve as vital tools for portfolio managers and analysts. Accurate economic forecasts enable them to make strategic asset allocation decisions, optimizing returns while managing risk. Business leaders also find immense value in CLIs, using them to guide strategic planning, resource allocation, and market entry decisions. The ability to foresee economic expansions or contractions empowers businesses to align their operations with macroeconomic trends, gaining a competitive edge through timely and informed decision-making. Additionally, in the context of fiscal policy, governments utilize CLIs to inform budgetary decisions and public spending initiatives. Anticipating economic cycles allows for more effective distribution of resources, ensuring that fiscal interventions are timely and impactful. It is important to note that while CLIs are powerful predictive tools, they are not without limitations. The accuracy of a CLI depends on the quality and relevance of its components, as well as the appropriateness of the weighting methodology used. Economic dynamics can change over time, and a CLI must be periodically recalibrated to maintain its predictive power. Moreover, external shocks and unforeseen events, such as geopolitical crises or global pandemics, can disrupt the predictive models on which CLIs are based, leading to discrepancies between forecasts and actual economic outcomes. At Eulerpool, we are committed to continuous improvement and rigorous analysis to ensure that our CLIs remain relevant and useful to our users. We employ advanced statistical techniques and leverage extensive historical data to refine our indicators, striving to offer the most accurate and reliable economic forecasts available. In summary, the Composite Leading Indicator is a critical resource in the field of macroeconomics, providing a forward-looking view of economic activity through the aggregation of multiple leading indicators. At Eulerpool, our dedication to precision, transparency, and user empowerment ensures that our CLIs serve as valuable tools for policymakers, investors, business leaders, and governments alike. By offering insights into future economic trends, CLIs facilitate informed decision-making and strategic planning, supporting economic stability and growth in an increasingly complex and dynamic world.