INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XIV, Issue X, October 2025
www.ijltemas.in Page 146
Interest Rate Movements on Stock Market Performance: A Focus
on Private Sector Banks
1 Dr R Pradeep Kumar Patnaik, 2 Avula Ritheesh Reddy, 2 Gaddalapati Pravaneeth Kumar, 2 Sappa Sathwik, 2 Satwik
Reddy Akumalla
1 Assistant Professor, Department of BBA, Koneru Lakshmaiah Education Foundation (KLEF), Vaddeswaram, Green
fields, Guntur, Andhra Pradesh, India -522302
2 Department of BBA, Koneru Lakshmaiah Education Foundation (KLEF), Vaddeswaram, Green fields, Guntur, Andhra
Pradesh, India -522302
DOI: https://doi.org/10.51583/IJLTEMAS.2025.1410000019
Abstract: The study investigates the relationship between interest rate fluctuations and stock market performance with a specific
focus on private sector banks in India. Interest rates, being a crucial monetary policy instrument, directly influence capital costs,
borrowing patterns, and investment decisions. Private sector banks, being highly sensitive to economic and financial changes, serve
as an ideal sector to explore these dynamics. This research aims to examine both the short-term and long-term effects of interest
rate changes on private sector bank stock prices, trading volumes, and investor sentiment. It also compares the responsiveness of
private sector bank stocks with overall market indices. The study employs econometric techniques using secondary data on interest
rates, stock prices, and market indices. Findings are expected to provide valuable insights for investors, policymakers, and financial
institutions on managing risks and formulating strategies in the face of interest rate volatility.
I. Introduction
Financial markets are inherently influenced by monetary policy decisions, among which interest rates play a pivotal role. In
emerging economies like India, where private sector banks significantly contribute to economic growth, understanding how interest
rate movements affect stock market performance is vital. Interest rate fluctuations alter the cost of funds, lending capacity, and
profitability of banks, which in turn impacts investor perceptions and stock valuations.
The Indian stock market, being dynamic and highly sensitive to macroeconomic indicators, provides a fertile ground for analyzing
such relationships. Private sector banks, including HDFC Bank, ICICI Bank, Axis Bank, and Kotak Mahindra Bank, are key players
whose stock performance is closely tracked by both institutional and retail investors.
This research seeks to examine the correlation between interest rate movements and stock market performance of private sector
banks, focusing on price fluctuations, trading activity, and investor behavior. By comparing the sensitivity of these banks with
broader market indices, the study aims to contribute to the literature on financial economics and provide actionable insights for
stakeholders.
II. Literature Review
Fama (1981) – Demonstrated that stock returns are closely linked to macroeconomic variables, including interest rates, showing
that higher interest rates typically depress equity prices.
Chen, Roll, and Ross (1986) – Introduced the Arbitrage Pricing Theory (APT), highlighting interest rates as a key risk factor
influencing stock returns across industries.
Thorbecke (1997) – Found that monetary policy shocks, especially through changes in the federal funds rate, significantly affect
banking sector stock returns.
Bernanke & Kuttner (2005) – Showed that unexpected interest rate cuts lead to positive stock market reactions, particularly in
financial and banking stocks.
Flannery & James (1984) – Studied U.S. banks and established that bank stock prices are highly sensitive to interest rate changes
due to their asset-liability structure.
Kuttner (2001) – Differentiated between anticipated and unanticipated interest rate changes, showing that unanticipated changes
have stronger effects on stock markets.
Singh & Sharma (2016) – In the Indian context, found that interest rate hikes negatively impacted banking sector stocks, while
cuts boosted investor confidence.
Bhunia & Das (2015) – Analyzed NSE-listed banks and revealed that fluctuations in interest rates significantly influenced short-
term bank stock returns in India.
Apergis & Eleftheriou (2002) – Using data from European banks, found long-term cointegration between interest rate changes
and banking sector stock performance.
INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XIV, Issue X, October 2025
www.ijltemas.in Page 147
Patra & Poswal (2020) – Investigated Indian stock indices and confirmed that interest rate volatility creates asymmetric effects on
sectoral stocks, with private banks being highly sensitive.
Research Gap
While several global and Indian studies have examined the impact of interest rate changes on stock markets, most of the existing
literature either:
Focuses on broad market indices rather than sector-specific dynamics.
Emphasizes developed economies (U.S., Europe), with relatively fewer studies contextualized to India’s private banking sector.
Concentrates on short-term effects of interest rate changes, often neglecting long-term relationships such as cointegration or
structural shifts.
Does not adequately address how investor sentiment and trading volumes interact with interest rate fluctuations in the banking
sector.
Offers limited comparative analysis between private sector banks and overall market responsiveness, despite their distinct capital
structures, risk exposure, and sensitivity to policy shifts.
Thus, there is a clear gap in exploring the comprehensive, sector-specific, and time-dimensional (short-term vs. long-term)
relationship between interest rate fluctuations and the stock market performance of private sector banks in India.
Problem Statement
Interest rates are one of the most influential monetary policy tools affecting financial markets, directly shaping borrowing costs,
profitability, and investment decisions. In India, private sector banks such as HDFC Bank, ICICI Bank, Axis Bank, and Kotak
Mahindra Bank play a pivotal role in driving economic growth and attracting significant investor interest. However, their stock
performance is highly sensitive to interest rate volatility.
Despite the acknowledged linkage between interest rates and stock returns, limited research exists that systematically investigates
how fluctuations in interest rates affect private sector bank stock prices, trading activity, and investor sentiment in both the
short and long run within the Indian context. Furthermore, the comparative responsiveness of private sector banks vis-à-vis
broader market indices remains underexplored.
This lack of comprehensive, sector-specific evidence creates uncertainty for investors, policymakers, and financial institutions in
formulating effective risk management and investment strategies. Therefore, it is crucial to examine the nuanced relationship
between interest rate movements and private sector bank stock market performance in India.
III. Research Methodology
Research Design
The study adopts a quantitative research design using secondary data analysis to examine the relationship between interest rate
movements and the stock performance of private sector banks.
Data Collection
Sources:
Interest rate data from the Reserve Bank of India (RBI).
Stock prices, returns, and trading volume of private sector banks (HDFC Bank, ICICI Bank, Axis Bank, Kotak Mahindra Bank)
from NSE/BSE.
NIFTY Bank and NIFTY 50 indices as benchmarks for comparison.
Period of Study: 10 years (2015–2025).
Variables
Independent Variable: Interest Rate (Repo Rate/Call Money Rate).
Dependent Variables:
Stock Price Returns of selected private sector banks.
Trading Volume.
Investor Sentiment (proxied through market volatility and turnover ratio).
Control Variable: Overall market index (NIFTY 50).
INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XIV, Issue X, October 2025
www.ijltemas.in Page 148
Analytical Tools
Descriptive Statistics – Mean, variance, standard deviation of stock returns and interest rates.
Correlation Analysis – To examine the degree of association between interest rate changes and stock returns.
Regression Analysis (OLS) – To quantify the impact of interest rates on bank stock returns.
Event Study Methodology – To analyze short-term effects of interest rate announcements.
Johansen Cointegration Test & VECM – To study long-term equilibrium relationships.
Granger Causality Test – To determine causality between interest rates and stock performance.
Quantitative Analysis
1. Descriptive Statistics
Using 10 years of data (2015–2025) on repo rates and stock returns of private banks (HDFC, ICICI, Axis, Kotak), descriptive
statistics were computed.
Variable Mean Std. Dev. Min Max
Repo Rate (%) 5.45 1.20 3.50 7.50
HDFC Returns (%) 12.3 18.5 -22.4 45.6
ICICI Returns (%) 11.5 21.0 -28.2 55.4
Axis Returns (%) 9.8 19.2 -25.5 50.1
Kotak Returns (%) 10.7 17.8 -20.6 42.3
NIFTY 50 Returns (%) 10.2 14.6 -18.7 38.5
Interpretation: Repo rates fluctuated between 3.5%–7.5%. Private bank stock returns showed higher volatility compared to the
NIFTY 50, suggesting greater sensitivity to macroeconomic changes.
2. Correlation Analysis
Correlation coefficients between repo rate changes and stock returns:
Variable HDFC ICICI Axis Kotak NIFTY 50
Repo Rate -0.42 -0.47 -0.39 -0.44 -0.28
Interpretation: All private banks exhibit negative correlation with interest rates. ICICI Bank (-0.47) shows the strongest negative
relationship, while Axis Bank (-0.39) shows a relatively weaker link. Market index (NIFTY 50) correlation (-0.28) is lower,
confirming banking stocks are more sensitive.
3. Regression Analysis (OLS)
Model: StockReturnt=α+β(ΔInterestRatet)+ϵt
Bank β Coefficient t-Statistic p-Value R²
HDFC -0.82 -3.45 0.001 0.24
ICICI -0.95 -3.89 0.000 0.29
Axis -0.76 -2.98 0.004 0.19
Kotak -0.88 -3.67 0.001 0.25
Interpretation: Regression shows that 1% increase in repo rate reduces stock returns by 0.76%–0.95% across banks. ICICI
Bank is most sensitive (-0.95), while Axis Bank is least (-0.76). All results are statistically significant (p < 0.05).
4. Event Study (Short-Term Impact of RBI Announcements)
Event window: 5 days before and after RBI interest rate announcements (2019–2025).
Positive surprise cuts (rate cut higher than expected): Private bank stocks recorded average abnormal returns (AAR) of
+2.1%.
INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XIV, Issue X, October 2025
www.ijltemas.in Page 149
Negative surprise hikes (rate hike higher than expected): Private bank stocks recorded AAR of -3.4%.
Cumulative Average Abnormal Returns (CAAR): -6.2% in rate hike events, +4.3% in rate cut events.
Interpretation: Investor sentiment reacts sharply around policy announcements. Banks experience larger losses when rates rise
compared to gains when rates fall (asymmetric impact).
5. Johansen Cointegration Test (Long-Term Relationship)
Null Hypothesis: No cointegration between repo rate and bank stock indices.
Result: Trace statistic = 32.7 > Critical value = 25.8 (at 5% level).
Interpretation: Reject null hypothesis → There is long-term cointegration between repo rate movements and stock market
performance of private sector banks.
6. Granger Causality Test
Interest Rate → Bank Returns: Significant (p < 0.05) → Interest rate movements Granger-cause bank stock returns.
Bank Returns → Interest Rate: Not significant (p > 0.10).
Interpretation: Causality is unidirectional. Interest rate changes influence bank stock returns, but bank returns do not significantly
influence interest rate decisions.
Summary of Quantitative Analysis
Descriptive statistics show that private banks are more volatile compared to the overall market.
Correlation and regression analyses confirm a negative relationship between interest rate movements and private bank stock
returns.
Event study results highlight short-term shocks with asymmetric effects: hikes hurt more than cuts help.
Johansen cointegration establishes a long-term equilibrium relationship.
Granger causality confirms that interest rate changes drive stock returns in the private banking sector.
IV. Findings
Volatility of Private Banks:
Private sector bank stocks showed higher volatility compared to the overall market index (NIFTY 50), indicating that these banks
are more sensitive to macroeconomic changes such as interest rate movements.
Negative Relationship with Interest Rates:
Both correlation and regression results confirmed a negative relationship between repo rate changes and private bank stock returns.
On average, a 1% increase in repo rate reduced stock returns by 0.76%–0.95%.
Bank-Wise Sensitivity:
ICICI Bank showed the highest sensitivity (-0.95) to interest rate movements.
Axis Bank showed the lowest sensitivity (-0.76).
All private banks studied were more responsive than the broader market index, highlighting sector-specific vulnerability.
Short-Term Effects (Event Study):
Rate hikes triggered negative abnormal returns averaging -3.4% within the event window.
Rate cuts generated positive abnormal returns (+2.1%), though the impact of hikes was stronger (asymmetric response).
Investor sentiment reacts sharply to unexpected policy announcements.
Long-Term Relationship (Cointegration):
Johansen cointegration results revealed a long-term equilibrium relationship between interest rate movements and stock market
performance of private banks.
Causality Direction:
Granger causality test confirmed that interest rate movements drive private bank stock returns, but bank returns do not influence
interest rate decisions.
INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XIV, Issue X, October 2025
www.ijltemas.in Page 150
V. Discussion
The findings emphasize the asymmetric nature of market reactions to policy changes. Behavioral finance suggests that investors
exhibit loss aversion they react more strongly to losses from rate hikes than to equivalent gains from rate cuts. Additionally, market
expectation theory explains that traders often anticipate rate reductions, causing limited positive surprise effects, whereas
unexpected hikes disrupt expectations and trigger sell-offs.
From a policy standpoint, these results imply that the Reserve Bank of India (RBI) should communicate policy intentions clearly
and avoid abrupt tightening cycles. Gradual and predictable adjustments can help stabilize investor expectations and reduce stock
market volatility. For banks, proactive asset-liability management is essential to cushion the impact of interest rate upswings on
profitability.
VI. Conclusion
This study highlights the critical influence of interest rate fluctuations on the performance of private sector bank stocks in
India. Both short-term shocks and long-term equilibrium effects were evident, confirming the sector’s dependence on monetary
policy.
In the short term, investor sentiment and trading volumes are highly responsive to policy announcements, with negative surprises
(rate hikes) having a stronger adverse effect than positive surprises (rate cuts).
In the long term, private sector bank stocks remain closely tied to interest rate cycles, with sustained increases in rates eroding
profitability and valuation.
Compared to the overall market, private banks exhibit higher sensitivity, underscoring their vulnerability to monetary policy
changes.
Implications:
For Investors: Understanding rate sensitivity can guide portfolio diversification and risk management strategies.
For Policymakers: The findings emphasize the importance of clear communication and gradual interest rate adjustments to
minimize stock market disruptions.
For Banks: Strategic asset-liability management is crucial to mitigate adverse impacts of rising rates.
Overall, the study concludes that interest rate volatility is a significant determinant of stock market performance in the Indian
private banking sector, making it essential for stakeholders to closely monitor monetary policy developments.