10-Year Treasury Constant Maturity Minus 2-Year Treasury Constant Maturity
Why Use This Data Source In Your Models?
The "10-Year Treasury Constant Maturity Minus 2-Year Treasury Constant Maturity" is an important metric in the economy because it provides valuable information about investors' expectations for the future and can signal potential changes in economic conditions. Here's why it matters: Interest Rate Spread: This metric compares the interest rates on two different types of U.S. government bonds: the 10-year bond and the 2-year bond. The 10-year bond represents long-term borrowing costs, while the 2-year bond represents short-term borrowing costs. When the 10-year interest rate is higher than the 2-year rate, it's known as a "positive spread." Economic Expectations: The positive spread generally indicates that investors are more optimistic about the future state of the economy. They are willing to invest in longer-term assets with higher returns, suggesting that they expect the economy to grow and thrive in the coming years. Investor Confidence: When the economy is doing well, businesses are likely to expand, and consumers tend to spend more. This positive sentiment among investors can lead to increased investments and economic activity, further supporting economic growth. Monetary Policy Signals: Central banks, like the Federal Reserve in the United States, closely monitor this metric. An increasing or high positive spread may signal a healthy economy. This could influence the central bank's decisions on setting interest rates and other monetary policies. Recession Warning: On the other hand, if the 2-year interest rate rises above the 10-year rate, it results in an "inverted yield curve" - with short-term rates higher than long-term rates. An inverted yield curve has historically been a warning sign of potential economic troubles ahead, like an upcoming recession. In summary, the "10-Year Treasury Constant Maturity Minus 2-Year Treasury Constant Maturity" is a valuable tool for economists and investors to understand the current economic expectations and to foresee potential changes in economic conditions. It helps them make informed decisions about investments, and it also guides policymakers in implementing appropriate measures to support economic stability.
10-Year Treasury Constant Maturity Minus 2-Year Treasury Constant Maturity
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Suggested Treatment:
Grain Transformation:
Source:
Board of Governors of Fed Reserve System
Release:
Selected Interest Rates
Units:
Percent, Not Seasonally Adjusted
Frequency:
Daily
Available Through:
04/24/2025
Suggested Treatment:
The data shows auto correlation and a non-normal distribution. The data should be differenced. While the Order Norm transformation, provides the best normality, the Yeo Johnson variable will also perform well.
Grain Transformation:
Data is unable to be distributed by time or geography. The roll up method used is Weighted Average.
Auto Correlation Analysis:
Data shows auto correlation indicating a need for differencing
The ACF indicates 1 order differencing is appropriate.
Following first order differencing, no further differencing is required based on the differenced ACF at lag one of -0.03
Trend Analysis:
The Kwiatkowski-Phillips-Schmidt-Shin (KPSS) test, KPSS Trend = 1.32 p-value = 0.01 indicates that the data is not stationary.
Distribution Analysis:
The Shapiro-Wilk test returned W = 0.98 with a p-value =0.00 indicating the data does not follow a normal distribution.
A skewness score of -0.17 indicates the data are fairly symmetrical.
Hartigan's dip test score of 0.03 with a p-value of 0.00 inidcates the data is multimodal
Statistics (Pearson P/ df, lower => more normal)
Auto Correlation Function
Auto Correlation Function After Differencing
Partial Auto Correlation Function
Seasonal Impact
Seasonal and Trend Decompostion
Citation:
Federal Reserve Bank of St. Louis, 10-Year Treasury Constant Maturity Minus 2-Year Treasury Constant Maturity [T10Y2Y], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/T10Y2Y