The Buffett Indicator: Top Countries by Stock Market Cap to GDP Ratio (1975–2026) скачать в хорошем качестве

The Buffett Indicator: Top Countries by Stock Market Cap to GDP Ratio (1975–2026)

This animated racebar chart explores the Stock Market Capitalization to GDP (%) ratio—commonly known as the "Buffett Indicator"—across the world's leading economies from 1975 to 2026. Watch how global financial markets evolved over five decades and see which countries dominate financial depth today. This metric, sourced from the World Bank (GFDD.DM.01) and the World Federation of Exchanges, measures the total value of all listed shares as a percentage of a nation's Gross Domestic Product. It serves as a key barometer for market valuation, financial market size, and overall financial development. In this video, you will see: The Rise of Financial Giants: Watch how markets like the United States, Hong Kong, and Switzerland evolved over time. Market Bubbles and Crashes: Visualize the impact of the 2000 Dot-com Bubble and the 2008 Global Financial Crisis on market valuations worldwide. Emerging Markets: The rapid ascent of India and China during the 2020s. Which markets dominate global financial depth today? Key statistics as of 2025/2026: United States: approximately 216% Saudi Arabia: approximately 220% India: approximately 136% (Record High) Hong Kong: over 1,000% (Global Financial Hub) Why does this matter? A high Stock Market Capitalization to GDP ratio can indicate a mature and sophisticated financial system. However, when the ratio rises far beyond historical norms (typically above 120%), it may suggest that markets are overheated or overvalued relative to the size of the real economy. Data Source: World Bank Global Financial Development Database. Topics covered: Stock Market Capitalization to GDP, Buffett Indicator, Global Stock Markets, Financial Depth, Market Valuation, Global Economy, Data Visualization. #StockMarket #GlobalEconomy #BuffettIndicator #Economy #GDP #DataVisualization #Investing #FinanceStats Source: https://databank.worldbank.org/metada...