Extracted economic calendar data from 23-01-2013 to 15-05-2023 from all countries.

Columns - date (d-m-y h:m:s) - title of the economic indicator - country from which data originate - indicator name - commentary on the change in value - actual value - previous value - forecast value for the next month - importance of the value

This index monitors perpetual and annual calendar complications from Patek Philippe 5140/5327, VC Patrimony, AP Royal Oak, Lange Langematik, JLC Master Perpetual, and IWC Portuguese. It tracks appreciation for mechanical calendar computers displaying day, date, month, year, moon phases, and leap year cycles. Use this index as a key indicator for intellectual complication preference, mechanical computer fascination, and long-term calendar functionality desirability.

Africa Economic Calendar Dataset

  Dataset Description

This dataset contains 111,450 macroeconomic events from 18 African countries, spanning from 2020 to 2025. The dataset mirrors professional economic calendars used by traders, economists, and analysts to track key economic indicators that move financial markets. Each event includes its scheduled release time, geographical zone, currency, importance level, and actual, forecast, and previous values when available.… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-economic-calendar-2020-2025.

A dataset of public corporate filings (such as annual reports, quarterly reports, and ad-hoc disclosures) for baby calendar Inc. (7363), provided by FinancialReports.eu.

content

This dataset records world economic events on a calendar basis. Date, time, country/zone, currency, event name, importance level, and actual/predicted/previous economic values (if available) are among the details that are included in each row, which represents a single event. Columns such as id, date, time, zone, currency, importance, event, actual, forecast, and prior are included in the dataset. These areas aid in monitoring market-moving announcements, national public events and holidays, and economic indicators.

context

Financial analysis, forecasting, and comprehending the impact of world events on markets and currencies may all be done with this dataset. These economic calendars are used by traders, economists, and data analysts to examine how significant announcements (such as interest rates, inflation figures, and holidays) affect market activity. Time-series forecasting models, market reaction studies, and EDA initiatives that investigate the connections between financial patterns and economic events can all benefit from its support.

Calendnar from Office of Economic Policy showing when economic indicators were released in 2012, 2013, 2014

The Economic Indicator Service (EIS) aims to deliver economic content to financial institutions on both buy and sell-side and service providers. This new service currently covers 34,351 recurring macro-economic indicators from 135 countries ( as of December 16, 2019 ) such as GDP data, unemployment releases, PMI numbers etc.

Economic Indicator Service gathers the major economic events from a variety of regions and countries around the globe and provides an Economic Events Data feed and Economic Calendar service to our clients. This service includes all previous historic data on economic indicators that are currently available on the database.

Depending on availability, information regarding economic indicators, including the details of the issuing agency as well as historical data series can be made accessible for the client. Key information about EIS: • Cloud-based service for Live Calendar – delivered via HTML/JavaScript application formats, which can then be embedded onto any website using iFrames • Alternatives methods available – such as API and JSON feed for the economic calendar that can be integrated into the company’s system • Live data – updated 24/5, immediately after the data has been released • Historical data – includes a feed of all previous economic indicators available We are currently adding additional indicators/countries from Africa as well as expanding our coverage of Indicators in G20. The calendar includes the following. • Recurring & Non-recurring indicators covering 136 countries across 21 regions. • Indicators showing high, medium, and low impact data. • Indicators showing actual, previous, and forecast data. • Indicators can be filtered across 16 subtypes. • News generation for selected high-impact data. • Indicator description and historical data up to the latest eight historical points with a chart.

Advanced sales data for statistical analysis decomposing Patek Philippe perpetual calendar returns into systematic (beta) and idiosyncratic (alpha) components. Essential for hedge funds building factor models for luxury watch investments. Includes stress testing during financial crises and quantified liquidity premiums across different market conditions.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

US Tax Calendar

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

The aim of this paper was to analyze the relationship between Mondays and the profitability provided by Brazilian hedge funds. We used a data basis composed of 3,337 hedge funds, totaling 3,529,808 observations of daily data, during the period from January 2005 until September 2013. To test the hypothesis, we used regression with panel data and we inserted control variables in the model that the literature points out as relevant. The main results showed that the Monday effect also occurs in the hedge funds segment and this effect is intensified in periods of financial crisis. However, we show that the effect is not consistent across all sub-categories of hedge funds. The results were persistent for funds which don't have a redemption period, as well as for the control for the Ibovespa daily returns. The discussion was mainly based on Behavioral Finance Theory in seeking potential explanations for this anomaly.

Weekly Economic Calendar shows future release dates of key economic data and publications used by NSW Treasury for monitoring and analysis.

Note: This resource was originally published on opengov.nsw.gov.au. The OpenGov website has been retired. If you have any questions, please contact the Agency Services team at transfer@mhnsw.au

Agency

• Treasury

A data set of payments made to vendors in 2021. Checkbook level data. When analyzing this data be aware that the sum amount and voucher are unique amounts, the payment amount is the total of a check. A check often includes more than one voucher. As a result of the Red Flag Commission recommendations, Ordinance 970032 was passed by the City Council Jan. 23, 1997. This ordinance requires the city to publish a report every two weeks listing all city payments.

Weekly Economic Calendar shows future release dates of key economic data and publications used by NSW Treasury for monitoring and analysis.

Note: This resource was originally published on opengov.nsw.gov.au. The OpenGov website has been retired. If you have any questions, please contact the Agency Services team at transfer@mhnsw.au

Agency

• Treasury

Graph and download economic data for Composite Leading Indicators: Reference Series (GDP) Calendar and Seasonally Adjusted for United States (LORSGPORUSQ659S) from Q1 1948 to Q4 2023 about leading indicator, GDP, and USA.

Peru BCRP Forecast: Exchange Rate against US$: Financial Entities: Next Calendar Year data was reported at 3.350 PEN/USD in Nov 2018. This stayed constant from the previous number of 3.350 PEN/USD for Oct 2018. Peru BCRP Forecast: Exchange Rate against US$: Financial Entities: Next Calendar Year data is updated monthly, averaging 3.300 PEN/USD from Jul 1999 (Median) to Nov 2018, with 224 observations. The data reached an all-time high of 3.880 PEN/USD in Jun 2000 and a record low of 2.450 PEN/USD in Feb 2013. Peru BCRP Forecast: Exchange Rate against US$: Financial Entities: Next Calendar Year data remains active status in CEIC and is reported by Central Reserve Bank of Peru. The data is categorized under Global Database’s Peru – Table PE.M010: Foreign Exchange Rate: Forecast: Central Reserve Bank of Peru.

Provide the local tax tax affairs calendar of the Finance and Taxation Bureau of Yilan County Government

Graph and download economic data for Composite Leading Indicators: Reference Series (GDP) Calendar and Seasonally Adjusted for Turkiye (LORSGPORTRQ659S) from Q1 1961 to Q3 2023 about leading indicator, Turkey, and GDP.

Peru BCRP Forecast: Exchange Rate against US$: Non Financial Companies: Next 2 Calendar Year data was reported at 3.400 PEN/USD in Oct 2018. This records an increase from the previous number of 3.380 PEN/USD for Sep 2018. Peru BCRP Forecast: Exchange Rate against US$: Non Financial Companies: Next 2 Calendar Year data is updated monthly, averaging 3.075 PEN/USD from Dec 2003 (Median) to Oct 2018, with 132 observations. The data reached an all-time high of 3.700 PEN/USD in Feb 2016 and a record low of 2.600 PEN/USD in Apr 2013. Peru BCRP Forecast: Exchange Rate against US$: Non Financial Companies: Next 2 Calendar Year data remains active status in CEIC and is reported by Central Reserve Bank of Peru. The data is categorized under Global Database’s Peru – Table PE.M010: Foreign Exchange Rate: Forecast: Central Reserve Bank of Peru.

BOK Financial reported $642.43M in Interest Income for its fiscal quarter ending in June of 2025. Data for BOK Financial | BOKF - Interest Income including historical, tables and charts were last updated by Trading Economics this last December in 2025.

First Financial Bancorp reported $97.17M in Interest Expense on Debt for its fiscal quarter ending in December of 2024. Data for First Financial Bancorp | FFBC - Interest Expense On Debt including historical, tables and charts were last updated by Trading Economics this last December in 2025.