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Yield 2Y (measured in %) is a key financial metric for US, reflecting conditions in capital markets, banking systems, or monetary policy frameworks. Financial indicators influence investment decisions, currency valuations, and the cost of borrowing for businesses and households. Central banks and regulators use these metrics to maintain financial stability, manage inflation expectations, and guide monetary policy. In US, Yield 2Y responds to domestic economic conditions, global financial trends, and shifts in investor sentiment. Traders, analysts, and policymakers track these indicators to anticipate market movements and assess systemic risks. The most recent data point shows 0.8 % as of 2016-06-06. This dataset spans 1976–2016, covering 10000 monthly observations. Data is sourced from FRED and updated regularly on EconDash. Use EconDash's interactive chart to analyze Yield 2Y trends, apply technical overlays, and compare with other financial indicators.
Yield 2Y, measured in %, reflects conditions in US's financial system, including capital markets, banking sector health, and monetary policy transmission. It influences investment flows, currency valuation, and borrowing costs across the economy.
The Yield 2Y dataset for US spans 1976 through 2016, comprising 10000 monthly observations. Data is sourced from FRED and follows official statistical methodologies. Monthly frequency allows for granular analysis of short-term fluctuations and seasonal patterns. EconDash updates this indicator as new data becomes available from the primary source.
Yield 2Y in US is driven by domestic monetary conditions, global capital flows, regulatory frameworks, and market sentiment. Financial indicators provide early warning signals of stress in banking systems or asset markets. Tracking these metrics alongside real-economy data helps analysts anticipate turning points in credit cycles and investment climates.
| Indicator | Yield 2Y |
|---|---|
| Country | US |
| Category | Макроэкономика |
| Unit | % |
| Source | FRED |
| Frequency | monthly |
| Time range | 1976–2016 (10000 observations) |
| Interactive chart | View on EconDash |
| API access | EconDash API documentation |