Macroeconomic Factors and their Impact on Stock Market Volatility: Trends, Drivers, and Policy Recommendations

The study investigates how key macroeconomic factors contribute to stock market volatility from 2015 to 2024, a period marked by significant economic fluctuations and policy shifts. Focusing on variables such as GDP growth, inflation, interest rates, and economic policy uncertainty, this research examines their impact on market stability across developed and emerging economies. Using quantitative analysis and secondary data, the study highlights periods of heightened volatility in response to economic shocks, particularly around events like the COVID-19 pandemic and subsequent policy responses. Findings reveal that rising inflation and policy uncertainty are primary drivers of volatility, often exacerbating market instability during economic downturns. Additionally, GDP growth and interest rate changes are shown to influence investor sentiment and asset pricing, underscoring the importance of macroeconomic stability for market resilience. While these macroeconomic fundamentals are crucial in understanding market dynamics, this study also addresses challenges in maintaining stability, such as varying policy responses and global economic interdependence, emphasizing the need for adaptive policy frameworks to mitigate volatility risks. This analysis contributes to the broader understanding of how macroeconomic factors shape financial markets, offering valuable insights for policymakers and investors aiming to navigate uncertain economic landscapes.

Authors

Publication Details

Journal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Published
2024-12-03
DOI
https://doi.org/10.55041/ijsrem39409
Citations
1
Primary Topic
Market Dynamics and Volatility
Type
article
Field-Weighted Citation Impact
1.13
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Macroeconomic Factors and their Impact on Stock Market Volatility: Trends, Drivers, and Policy Recommendations

DR. KIRAN KUMAR M, ALISTER PRINSON DSOUZA, V VIBHA, VEDANT PANDURANG KANSE
1 citations
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Market Dynamics and Volatility
1.13
article

Macroeconomic Factors and their Impact on Stock Market Volatility: Trends, Drivers, and Policy Recommendations

DR. KIRAN KUMAR M, ALISTER PRINSON DSOUZA, V VIBHA, VEDANT PANDURANG KANSE
article en
1 citations

Abstract

The study investigates how key macroeconomic factors contribute to stock market volatility from 2015 to 2024, a period marked by significant economic fluctuations and policy shifts. Focusing on variables such as GDP growth, inflation, interest rates, and economic policy uncertainty, this research examines their impact on market stability across developed and emerging economies. Using quantitative analysis and secondary data, the study highlights periods of heightened volatility in response to economic shocks, particularly around events like the COVID-19 pandemic and subsequent policy responses. Findings reveal that rising inflation and policy uncertainty are primary drivers of volatility, often exacerbating market instability during economic downturns. Additionally, GDP growth and interest rate changes are shown to influence investor sentiment and asset pricing, underscoring the importance of macroeconomic stability for market resilience. While these macroeconomic fundamentals are crucial in understanding market dynamics, this study also addresses challenges in maintaining stability, such as varying policy responses and global economic interdependence, emphasizing the need for adaptive policy frameworks to mitigate volatility risks. This analysis contributes to the broader understanding of how macroeconomic factors shape financial markets, offering valuable insights for policymakers and investors aiming to navigate uncertain economic landscapes.

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTVol. 08(12)
Decent work and economic growth
Openalex Percentile: Top 11%
Market Dynamics and Volatility
1.13
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.