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L. Vanessa Smith

Researcher at University of York

Publications -  44
Citations -  3807

L. Vanessa Smith is an academic researcher from University of York. The author has contributed to research in topics: Interest rate & Unit root. The author has an hindex of 21, co-authored 44 publications receiving 3476 citations. Previous affiliations of L. Vanessa Smith include University of Cambridge.

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Empirical evidence on jumps in the term structure of the US Treasury Market

TL;DR: In this article, the authors found significant evidence of jumps and cojumps in the US term structure using the Cantor-Fitzgerald tick dataset sampled over the period 2002-2006, and discussed in relation to term structure theories, day of the week effects, asymmetric news effects and trading volume.
Posted ContentDOI

What if the UK had joined the euro in 1999? : An empirical evaluation using a Global VAR

TL;DR: In this article, a conceptual framework for the analysis of counterfactual scenarios using macro-econometric models was provided for the UK's entry to the euro, which involves a long-term commitment to restrict UK nominal exchange rates and interest rates to be the same as those of the euro area, and conditional probability distributions for the difference between the future realisations of variables of interest (e.g. UK and euro area output and prices) subject to UK entry restrictions being fully met over a given period and the alternative realisations without the restrictions.
Posted Content

Forecasting Economic and Financial Variables with Global VARs

TL;DR: In this article, a global vector autoregressive (GVAR) model was used to generate out-of-sample one quarter and four quarters ahead forecasts of real output, inflation, real equity prices, exchange rates and interest rates over the period 2004Q1-2005Q4.
Posted Content

Long Run Macroeconomic Relations in the Global Economy

TL;DR: In this paper, the authors focus on testing long run macroeconomic relations for interest rates, equity, prices and exchange rates within a model of the global economy, and use the global vector autoregressive (GVAR) model developed in Dees, di Mauro, Pesaran and Smith to test for long run restrictions in each country/region conditioning on the rest of the world.
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Assessing the impact of COVID-19 on global fossil fuel consumption and CO2 emissions.

TL;DR: This paper assess the effect of the COVID-19 pandemic on global fossil fuel consumption and CO2 emissions over the two-year horizon 2020Q1-2021Q4.