Dataset Overview

Dataset Overview

This dataset is meticulously designed to analyze the impact of climate variables, particularly temperature, alongside macroeconomic indicators on sectoral price indices in Qatar. It specifically covers the Banking, Finance, and Energy sectors, offering monthly data spanning from 2019 to 2023.

The dataset provides a rich and structured foundation for in-depth research, trend analysis, and forecasting in the intersection of climate change, economics, and financial markets. By integrating climate and macroeconomic factors, it allows researchers to explore complex interactions affecting sector-specific market performance over time.

Variables Included

Climate Variable

  • Temperature: Monthly average temperature fluctuations to analyze climate trends and their economic impact.

Macroeconomic Variables

  • GDP Growth Rate: Measures the overall economic expansion or contraction.
  • Inflation Rate: Represents variations in the Consumer Price Index (CPI).
  • Interest Rate: Affects lending, borrowing, and investment trends.
  • Crude Oil Prices: Reflects global energy market dynamics and their influence on Qatar’s economy.
  • Natural Gas Prices: Essential for assessing Qatar’s energy market performance.
  • Gold Prices: Tracks fluctuations in a safe-haven asset, influencing investment behaviors.
  • Exchange Rates: Examines currency valuation trends and international trade impacts.

Sectoral Price Indices

  • Banking Sector Price Index: Measures the performance of the banking sector in Qatar.
  • Financial Sector Price Index: Captures trends in financial services such as investment and asset management.
  • Energy Sector Price Index: Reflects the performance of Qatar’s oil and gas industry.

Key Features

  • Comprehensive Scope: Covers climate and macroeconomic variables influencing sectoral price indices.
  • Interdisciplinary Utility: Useful for climate studies, economic modeling, and financial policy development.
  • Pre-Processed for ML Models: Includes lagged, rolling, and interaction features for machine learning applications.

Data Sources

The dataset is curated from credible sources, including:

  • Government statistical agencies for macroeconomic indicators.
  • Financial market reports and central bank data for sectoral indices.
  • Climate databases for historical temperature records.
  • Energy market reports for crude oil and natural gas price trends.

For research inquiries, collaboration opportunities, or dataset access, please contact our research team.