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The role of an aligned investor sentiment index in predicting bond risk premia of the U.S

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  • Çepni, Oğuzhan
  • Guney, I. Ethem
  • Gupta, Rangan
  • Wohar, Mark E.

Abstract

In this paper, we develop a new investor sentiment index that is aligned to predict the excess returns on U.S. government bonds that have 2–5 years maturities. The new index is constructed by eliminating a common noise component in underlying sentiment proxies using the partial least squares (PLS) approach. The findings show that the new aligned sentiment index has much greater predictive power than the original principal component analysis (PCA)-based sentiment index both in- and out-of-sample. In addition, predictability is statistically significant, especially for bond premia with shorter maturities, even after controlling for a large number of financial and macro factors, as well as investor attention and manager sentiment indexes. Given the role of U.S. Treasury securities in forecasting of output and inflation, as well as in portfolio allocation decisions, our findings have significant implications for investors, policymakers, and researchers interested in accurately the forecasting return dynamics for these assets.

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  • Çepni, Oğuzhan & Guney, I. Ethem & Gupta, Rangan & Wohar, Mark E., 2020. "The role of an aligned investor sentiment index in predicting bond risk premia of the U.S," Journal of Financial Markets, Elsevier, vol. 51(C).
  • Handle: RePEc:eee:finmar:v:51:y:2020:i:c:s1386418120300100
    DOI: 10.1016/j.finmar.2020.100541
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    More about this item

    Keywords

    Bond premia; Investor attention; Investor sentiment; Predictability; Out-of-sample forecasts;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation

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