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