Dynamic Causal Analysis between the Stock Market and Macroeconomic Variables in the USA

This dissertation examines the dynamic relationships between the US stock market and macroeconomic variables such as consumer price index, industrial production, interest rates and money supply during the regimes of six different Federal Reserve Chairs between 1970-2020. Using Johansen’s cointegrati...

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Main Author: Chung, Rhys
Format: Dissertation (University of Nottingham only)
Language:English
Published: 2021
Online Access:https://eprints.nottingham.ac.uk/66535/
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author Chung, Rhys
author_facet Chung, Rhys
author_sort Chung, Rhys
building Nottingham Research Data Repository
collection Online Access
description This dissertation examines the dynamic relationships between the US stock market and macroeconomic variables such as consumer price index, industrial production, interest rates and money supply during the regimes of six different Federal Reserve Chairs between 1970-2020. Using Johansen’s cointegration tests and error correction techniques, the aim is to detect Granger Causality, address mixed findings about causality directions from previous literatures and investigate how these relationships change over time. The results suggest that both short- and long-term causal relationships exist. Further, there is no strict causality direction when observing the causality results inferring these bivariate causal relationships that do change over time depending on the subperiod. An interpretation of these findings is that the direction of causality can be explained based upon the Federal Reserve Chair’s monetary policy philosophy and implementation.
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spelling nottingham-665352023-04-25T11:50:25Z https://eprints.nottingham.ac.uk/66535/ Dynamic Causal Analysis between the Stock Market and Macroeconomic Variables in the USA Chung, Rhys This dissertation examines the dynamic relationships between the US stock market and macroeconomic variables such as consumer price index, industrial production, interest rates and money supply during the regimes of six different Federal Reserve Chairs between 1970-2020. Using Johansen’s cointegration tests and error correction techniques, the aim is to detect Granger Causality, address mixed findings about causality directions from previous literatures and investigate how these relationships change over time. The results suggest that both short- and long-term causal relationships exist. Further, there is no strict causality direction when observing the causality results inferring these bivariate causal relationships that do change over time depending on the subperiod. An interpretation of these findings is that the direction of causality can be explained based upon the Federal Reserve Chair’s monetary policy philosophy and implementation. 2021-12-01 Dissertation (University of Nottingham only) NonPeerReviewed application/pdf en https://eprints.nottingham.ac.uk/66535/1/4315270_BUSI4020_2021.pdf Chung, Rhys (2021) Dynamic Causal Analysis between the Stock Market and Macroeconomic Variables in the USA. [Dissertation (University of Nottingham only)]
spellingShingle Chung, Rhys
Dynamic Causal Analysis between the Stock Market and Macroeconomic Variables in the USA
title Dynamic Causal Analysis between the Stock Market and Macroeconomic Variables in the USA
title_full Dynamic Causal Analysis between the Stock Market and Macroeconomic Variables in the USA
title_fullStr Dynamic Causal Analysis between the Stock Market and Macroeconomic Variables in the USA
title_full_unstemmed Dynamic Causal Analysis between the Stock Market and Macroeconomic Variables in the USA
title_short Dynamic Causal Analysis between the Stock Market and Macroeconomic Variables in the USA
title_sort dynamic causal analysis between the stock market and macroeconomic variables in the usa
url https://eprints.nottingham.ac.uk/66535/