The relationship of market sentiment and sector return across time and frequency – a wavelet coherence analysis

Investment diversification is a strategic approach to mitigating risks by spreading assets across various sectors. Each sector has its unique temperament when it comes to market sentiment. Certain sectors are more prone to being influenced by sentiment, while others are less so. Conventional approaches often overlook the dynamic interaction between market sentiment and sector returns. The study utilized data from the Bombay Stock Exchange and National Stock Exchange, including all sectoral indices of the BSE from April 2008 to June 2023. A composite sentiment index was developed using Principal Component Analysis. The study employed Wavelet coherence to measure the association between market sentiment and stock returns of different sectors across time and frequency domains. The findings reveal that non-cyclical sectors like Tech, Health, IT, Telecom, Energy, and FMCG exhibit less sensitivity to fluctuations in sentiment and are less volatile, as these sectors provide indispensable services. Sectors such as Commodities, Financial Services, Industrial, Metal, and Auto show stronger coherence with sentiment, as they exhibit cyclical patterns and are connected with economic circumstances, making them more prone to market volatility. These insights help institutional investors and portfolio managers develop risk-adjusted strategies, align investments with risk tolerance, and balance short-term sentiment analysis with long-term fundamentals.

Authors

Institutions

Publication Details

Journal
The Economics and Finance Letters
Published
2025-07-01
DOI
https://doi.org/10.18488/29.v12i2.4255
Citations
1
Primary Topic
Energy Load and Power Forecasting
Type
article
Field-Weighted Citation Impact
0.73
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The relationship of market sentiment and sector return across time and frequency – a wavelet coherence analysis

S. Amilan, P Vairasigamani, Versha Patel
1 citations
The Economics and Finance Letters
Energy Load and Power Forecasting
0.73
article

The relationship of market sentiment and sector return across time and frequency – a wavelet coherence analysis

S. Amilan, P Vairasigamani, Versha Patel
article en
1 citations

Abstract

Investment diversification is a strategic approach to mitigating risks by spreading assets across various sectors. Each sector has its unique temperament when it comes to market sentiment. Certain sectors are more prone to being influenced by sentiment, while others are less so. Conventional approaches often overlook the dynamic interaction between market sentiment and sector returns. The study utilized data from the Bombay Stock Exchange and National Stock Exchange, including all sectoral indices of the BSE from April 2008 to June 2023. A composite sentiment index was developed using Principal Component Analysis. The study employed Wavelet coherence to measure the association between market sentiment and stock returns of different sectors across time and frequency domains. The findings reveal that non-cyclical sectors like Tech, Health, IT, Telecom, Energy, and FMCG exhibit less sensitivity to fluctuations in sentiment and are less volatile, as these sectors provide indispensable services. Sectors such as Commodities, Financial Services, Industrial, Metal, and Auto show stronger coherence with sentiment, as they exhibit cyclical patterns and are connected with economic circumstances, making them more prone to market volatility. These insights help institutional investors and portfolio managers develop risk-adjusted strategies, align investments with risk tolerance, and balance short-term sentiment analysis with long-term fundamentals.

The Economics and Finance LettersVol. 12(2)
Pondicherry University (IN)
Openalex Percentile: Top 26%
Energy Load and Power Forecasting
0.73
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.