Close Menu
    Facebook X (Twitter) Instagram
    Facebook X (Twitter) Instagram
    StockNews24StockNews24
    Subscribe
    • Shares
    • News
      • Featured Company
      • News Overview
        • Company news
        • Expert Columns
        • Germany
        • USA
        • Price movements
        • Default values
        • Small caps
        • Business
      • News Search
        • Stock News
        • CFD News
        • Foreign exchange news
        • ETF News
        • Money, Career & Lifestyle News
      • Index News
        • DAX News
        • MDAX News
        • TecDAX News
        • Dow Jones News
        • Eurostoxx News
        • NASDAQ News
        • ATX News
        • S&P 500 News
      • Other Topics
        • Private Finance News
        • Commodity News
        • Certificate News
        • Interest rate news
        • SMI News
        • Nikkei 225 News1
    • Carbon Markets
    • Raw materials
    • Funds
    • Bonds
    • Currency
    • Crypto
    • English
      • العربية
      • 简体中文
      • Nederlands
      • English
      • Français
      • Deutsch
      • Italiano
      • Português
      • Русский
      • Español
    StockNews24StockNews24
    Home » The Predictive Power of the Yield Curve
    Fund News

    The Predictive Power of the Yield Curve

    userBy userNovember 17, 2024No Comments5 Mins Read
    Facebook Twitter LinkedIn Telegram Pinterest Tumblr Reddit WhatsApp Email
    Share
    Facebook Twitter LinkedIn Pinterest Email


    “[O]ur mind is strongly biased toward causal explanations and does not deal well with ‘mere statistics.’” — Daniel Kahneman, Thinking, Fast and Slow

    The predictive power of the yield curve is a widely accepted causal narrative. But the history of the yield curve shows that the causal correlation between long and short rates is actually quite weak. While long and short rates tend to move in the same direction, they do so at varying rates.

    The debut of the Federal Reserve System in 1914 and the advent of modern central bank orthodoxy amid the Great Inflation of the late 1960s to early 1980s contributed to a divergence in how the market sets long and short rates. The yield curve’s predictive accuracy was decidedly mixed in the first half of the 20th century but was much more reliable in the second half — a shift that aligns with how the the US Federal Reserve has evolved over the years. 

    During the 19th century and the first three decades of the 20th, yields for four- to six-month commercial paper were higher on average than those of prime long-term bonds. As the US Civil War gave way to peace and deflation, interest rate levels exhibited a downward trend. But towards the turn of the century, gold discoveries increased the money supply and sent rates higher. During this period, the market set interest rates based primarily on the supply and demand of loanable funds. The low interest rates of the post–Civil War era did not prevent eight different NBER recessions between 1868 and 1900.

    But higher rates from 1900 to 1920 didn’t exert much of an influence over the economy either, with six different NBER recessions over the 20 years. A persistently inverted yield curve may have contributed to the high frequency of recession. After all, a negatively sloped interest rate term structure disincentivizes long-term investment.

    Only after 1930 did positive yield curves become more regular. The 1929 stock market crash, the resulting shift toward greater economic planning by the state, and the integration of Keynesian economic policies later in the 1930s certainly shifted the slope of the yield curve. As short rates came onto economic policymakers’ radar, they introduced a new causal force that broke the link between short and long rates.

    With the markets free to set long-term rates, the views of policymakers and the market on the state of the economy diverged. The Fed’s open market operations are, by their nature, countercyclical and lag the real economy. The market, on the other hand, is a forward-looking voting machine that represents the collective wisdom of the crowd. When the market thinks the Fed is too hawkish, long rates fall below short rates. When it perceives the Fed as too dovish, long rates rise well above their shorter counterparts.

    Data Science Certificate Tile

    Market prices are the best indication we have of future market outcomes. Why? Because of the potential rewards available. If the future is in anyway knowable, prices in a free market are the most effective crystal ball: Resources will be directed to take advantage of any mispricings. Financiers in earlier eras would not recognize a connection between long-term and short-term rates. They saw short-term lending as primarily concerned with the return of principal and long-term lending on return on principal. But the combination of Keynesian economic policies and the market’s discounting mechanism made the yield curve the predictive tool that it is today.

    But it needs to be deployed with caution. It is not just the slope of the curve that matters but how it develops and how long the curve is inverted.


    Cumulative Days of Yield Curve Inversion

    Chart showing Cumulative Days of Yield Curve Inversion

    Source: Federal Reserve Bank of St. Louis, NBER


    The yield curve has inverted from positive to negative 76 different times since February 1977 according to the preceding chart — sometimes for months at a time, at other times for just a day — but there have only been six recessions. So, inversion alone is hardly an accurate oracle. Only when the market and the Fed veer apart for an extended time period, when the market expects significantly lower growth than the Fed, does the market’s recession expectations tend to play out. Given the efficiency of the market voting machine, this should hardly come as a surprise.

    The yield curve is a popular recession indicator for good reason. But we need more proof of its efficacy, particularly when the signals suggest that Fed policy is too loose.

    If you liked this post, don’t forget to subscribe to the Enterprising Investor.


    All posts are the opinion of the author. As such, they should not be construed as investment advice, nor do the opinions expressed necessarily reflect the views of CFA Institute or the author’s employer.

    Image credit: ©Getty Images/ ardasavasciogullari


    Professional Learning for CFA Institute Members

    CFA Institute members are empowered to self-determine and self-report professional learning (PL) credits earned, including content on Enterprising Investor. Members can record credits easily using their online PL tracker.



    Source link

    Share this:

    • Click to share on Facebook (Opens in new window) Facebook
    • Click to share on X (Opens in new window) X

    Like this:

    Like Loading...

    Related

    Share. Facebook Twitter Pinterest LinkedIn Tumblr Telegram Email
    Previous ArticleUpcoming Electric Sports Car Launches: A New Era of High Performance Driving
    Next Article $12.9 Billion of Warren Buffett’s Portfolio Is Invested in 1 Stock That Could Soar 25%, According to Wall Street
    user
    • Website

    Related Posts

    AI Bias by Design: What the Claude Prompt Leak Reveals for Investment Professionals

    May 14, 2025

    How Clients’ Investment Goals Reflect Risk Behavior and Hidden Biases

    May 12, 2025

    Amid The Noise, Active Management Quietly Reinvents Itself    

    May 7, 2025
    Add A Comment

    Leave a ReplyCancel reply

    © 2025 StockNews24. Designed by Sujon.

    Type above and press Enter to search. Press Esc to cancel.

    %d