Impact of Monetary Policy on Stock Market Volatility
DOI:
https://doi.org/10.47941/ijf.2141Keywords:
Monetary Policy, Stock Market Volatility, Behavioural Finance, Global Interconnectedness, Policy CommunicationAbstract
Purpose: The general objective of the study was to analyze the impact of monetary policy on stock market volatility.
Methodology: The study adopted a desktop research methodology. Desk research refers to secondary data or that which can be collected without fieldwork. Desk research is basically involved in collecting data from existing resources hence it is often considered a low cost technique as compared to field research, as the main cost is involved in executive’s time, telephone charges and directories. Thus, the study relied on already published studies, reports and statistics. This secondary data was easily accessed through the online journals and library.
Findings: The findings reveal that there exists a contextual and methodological gap relating to the impact of monetary policy on stock market volatility. Preliminary empirical review revealed that monetary policy exerts significant influence on stock market volatility through various channels such as interest rate adjustments, quantitative easing, and forward guidance. It highlighted that the timing and clarity of policy announcements play a crucial role in shaping market reactions, with unexpected shifts often leading to heightened volatility. Global interconnectedness amplified these effects, underscoring the need for coordinated policy responses. Behavioral factors also contributed, as investor sentiment and market psychology could magnify volatility independently of economic fundamentals. Understanding these dynamics is crucial for effective policy design and market stability amidst evolving financial landscapes.
Unique Contribution to Theory, Practice and Policy: Efficient Market Hypothesis (EMH, Rational Expectations Theory and Keynesian Economics may be used to anchor future studies on monetary policy on stock market volatility. Recommendations from the study included integrating behavioral finance models into economic frameworks to enhance predictive accuracy. It advocated for clearer and more consistent central bank communications to align market expectations with policy actions, reducing uncertainty-driven volatility. Collaborative efforts among central banks were emphasized to manage international spillovers and enhance global financial stability. Adaptive policy frameworks were proposed to respond flexibly to changing market conditions while promoting regulatory measures to safeguard against excessive risk-taking. These recommendations aimed to foster a stable financial environment supportive of sustainable economic growth and market confidence.
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