Historical forecasting of interest rate mean and volatility of the United States : is there a role of uncertainty?

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Authors

Hassani, Hossein
Yeganegi, Mohammad Reza
Gupta, Rangan

Journal Title

Journal ISSN

Volume Title

Publisher

World Scientific Publishing

Abstract

Uncertainty is known to have negative impact on financial markets through its effects on investors’ decisions. In the wake of the “Great Recession”, quite a few recent studies have highlighted the role of uncertainty in predicting in-sample movements of interest rates. Since in-sample predictability does not guarantee out-of-sample forecasting gains, in this paper, we used historical daily and monthly data for the US to forecast mean and volatility of interest rate. The results show that changes in uncertainty measure movements fail to add any significant statistical gains to the forecast of interest rates for the US. In other words, policy makers in the US are not likely to improve their accuracy of future movements of the policy rate’s mean and volatility by incorporating information derived from changes in metrics of uncertainty.

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Keywords

Uncertainty, Interest rates, Metrics of uncertainty, Volatility forecasting, Mean forecasting, Forecasting

Sustainable Development Goals

Citation

Hassani, H., Yeganegi, M.R. & Gupta, R. 2020, 'Historical forecasting of interest rate mean and volatility of the United States: is there a role of uncertainty?', Annals of Financial Economics, vol. 15, no. 04, 2050018.