The Determinants of U.S. Treasury Bill Rates: An Approach Based on A Vector Autoregressive Model (VAR)

This dissertation examines the determinants of U.S. Treasury bill rates based on vector autoregressions for the period 1959-2009. Our main conclusions are: (1) monetary base, inflation rate and output affect the dynamics of Treasury bill rates and those results are consistent with the theory in rega...

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Main Author: Fadiga, Ismael Tanou
Format: Dissertation (University of Nottingham only)
Language:English
Published: 2009
Online Access:https://eprints.nottingham.ac.uk/22844/
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author Fadiga, Ismael Tanou
author_facet Fadiga, Ismael Tanou
author_sort Fadiga, Ismael Tanou
building Nottingham Research Data Repository
collection Online Access
description This dissertation examines the determinants of U.S. Treasury bill rates based on vector autoregressions for the period 1959-2009. Our main conclusions are: (1) monetary base, inflation rate and output affect the dynamics of Treasury bill rates and those results are consistent with the theory in regards to the factors affecting yield curves. Accurately, we find that the growth rates of monetary base, inflation and output are all significant in explaining the growth of U.S. Treasury bill rates; (2) criticisms mentioned in the literature against Sims' (1980) unrestricted VAR are right concerning such statistical results as impulse responses and variance decompositions, since we show that our results are sensitive to different specifications of our models. Thus, the robustness of our unrestricted VARs, even stable, might be questioned; (3) unrestricted VARs can be usefool tools for forecasting U.S. Treasury bill rates, in particular if VAR orders are based on relevant selection criteria.
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spelling nottingham-228442018-01-25T19:21:17Z https://eprints.nottingham.ac.uk/22844/ The Determinants of U.S. Treasury Bill Rates: An Approach Based on A Vector Autoregressive Model (VAR) Fadiga, Ismael Tanou This dissertation examines the determinants of U.S. Treasury bill rates based on vector autoregressions for the period 1959-2009. Our main conclusions are: (1) monetary base, inflation rate and output affect the dynamics of Treasury bill rates and those results are consistent with the theory in regards to the factors affecting yield curves. Accurately, we find that the growth rates of monetary base, inflation and output are all significant in explaining the growth of U.S. Treasury bill rates; (2) criticisms mentioned in the literature against Sims' (1980) unrestricted VAR are right concerning such statistical results as impulse responses and variance decompositions, since we show that our results are sensitive to different specifications of our models. Thus, the robustness of our unrestricted VARs, even stable, might be questioned; (3) unrestricted VARs can be usefool tools for forecasting U.S. Treasury bill rates, in particular if VAR orders are based on relevant selection criteria. 2009-09-08 Dissertation (University of Nottingham only) NonPeerReviewed application/pdf en https://eprints.nottingham.ac.uk/22844/1/MA_Dissertation_0809.pdf Fadiga, Ismael Tanou (2009) The Determinants of U.S. Treasury Bill Rates: An Approach Based on A Vector Autoregressive Model (VAR). [Dissertation (University of Nottingham only)] (Unpublished)
spellingShingle Fadiga, Ismael Tanou
The Determinants of U.S. Treasury Bill Rates: An Approach Based on A Vector Autoregressive Model (VAR)
title The Determinants of U.S. Treasury Bill Rates: An Approach Based on A Vector Autoregressive Model (VAR)
title_full The Determinants of U.S. Treasury Bill Rates: An Approach Based on A Vector Autoregressive Model (VAR)
title_fullStr The Determinants of U.S. Treasury Bill Rates: An Approach Based on A Vector Autoregressive Model (VAR)
title_full_unstemmed The Determinants of U.S. Treasury Bill Rates: An Approach Based on A Vector Autoregressive Model (VAR)
title_short The Determinants of U.S. Treasury Bill Rates: An Approach Based on A Vector Autoregressive Model (VAR)
title_sort determinants of u.s. treasury bill rates: an approach based on a vector autoregressive model (var)
url https://eprints.nottingham.ac.uk/22844/