Powered by OpenAIRE graph
Found an issue? Give us feedback
addClaim

Macroeconomic Indicators and Stock Performance

Authors: Gianni Minuta;

Macroeconomic Indicators and Stock Performance

Abstract

This research paper analyzes how several macroeconomic indicators, representing major segments of the economy, affect the stock performance of three largecap technology firms: Microsoft, Apple, and Amazon. These companies, purposefully chosen for this study, are highly liquid yet have some of the largest market caps because their monthly earnings correlate with prominent indicators of GDP, inflation, employment, housing, and trade balances. Using publicly available data sources from government departments and international institutions is what makes this study's claims, real-time economic fluctuations, and facts verifiable and credible. This study uses a quantitative framework to analyze, in depth, the correlation between macroeconomic indicators and stock performance during the 2022-2023 post-pandemic time period. Key findings in this study demonstrate trends and patterns in GDP growth, inflation, and employment. Since measurements such as the CPI and PPI fluctuate, macroeconomic indicators are closely associated with stock movements. It is extremely important to all traders and investors around the world, from small family households to the largest firms, to place a high emphasis on analyzing macroeconomic dynamics and evaluating equity performance. The analysis of these essential indicators is very insightful and decisive for investors and traders who use a framework to interpret what economic indicators mean and which strategies can be used to price action on those indicators in tech-driven markets. 

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!