From Financial Protection to Wealth Creation: The Impact of Insurance Protection Adequacy on Stock Market Investment Behaviour through Perceived Financial Security, Investment Confidence, and Risk Tolerance
Mr. Raj Kothari
B.Com.(H) Capital Markets
Final Year Student,
O.P. Jindal Global University,
Sonipat, Haryana
ORCID: 0009-0006-3697-3252
CA Himanshu Mali
Senior Research Analyst,
Wallfort Fund Management LLP,
Mumbai
Ms. Shloka Agarwal
B.Sc. in Business with Finance
Student Third Year,
New York University,
New York, USA
Dr Sunil Kadyan
Associate Professor,
BIMTECH Greater Noida UP
Abstract
Insurance and stock market investment represent two complementary dimensions of household financial planning, yet the behavioural link between them remains insufficiently understood. This study investigates whether Insurance Protection Adequacy (IPA) influences Stock Market Investment Behaviour (SMIB) through the sequential effects of Perceived Financial Security (PFS), Investment Confidence (IC), and Risk Tolerance (RT). Integrating Household Finance Theory and Prospect Theory, the proposed framework explains how financial protection facilitates long-term wealth creation through investor psychology.
The analysis draws on survey data from 487 insured investors in India and applies Covariance-Based Structural Equation Modelling (CB-SEM) using AMOS 29. The results show that adequate insurance protection strengthens financial security, which subsequently builds investment confidence, increases willingness to accept investment risk, and encourages participation in equity markets. Bootstrap estimates further confirm the proposed sequential mediation.
The study broadens household finance and behavioural finance research by demonstrating that insurance contributes to investment decisions beyond its conventional role in risk management. By identifying the psychological pathways linking financial protection with equity participation, the findings offer practical insights for insurers, financial advisors, and policymakers seeking to strengthen household financial resilience and support long-term wealth creation.
Keywords: Insurance protection adequacy; Household finance; Stock market investment behaviour; Perceived financial security; Investment confidence; Risk tolerance; Behavioural finance; CB-SEM.
Household financial well-being is shaped by decisions that balance protection against financial risks with opportunities for long-term wealth creation. Insurance cushions households from unexpected financial shocks, whereas equity investments provide a pathway to capital appreciation and wealth accumulation. Although these decisions are inherently interconnected, research has generally examined insurance and investment behaviour as separate domains, leaving limited understanding of how financial protection influences participation in equity markets (Campbell, 2006).
The relationship has become increasingly important as financial systems evolve. Rising insurance penetration, digital financial services, and expanding retail participation have widened access to investment opportunities, particularly in emerging economies such as India. At the same time, policymakers continue to advocate integrated financial planning that combines adequate risk protection with long-term investment to strengthen household resilience (OECD, 2023). Yet many households remain reluctant to invest in equities, preferring conventional savings instruments despite broader financial access. This suggests that investment decisions are shaped not only by economic conditions but also by behavioural factors.
Existing evidence identifies financial literacy, income, education, demographic characteristics, and risk tolerance as important determinants of stock market participation (Campbell, 2006; Van Rooij et al., 2011). Behavioural finance further demonstrates that confidence and perceptions of risk influence investment decisions beyond objective financial resources (Kahneman & Tversky, 1979; Barber & Odean, 2001). By comparison, the behavioural role of insurance has received far less attention. Most studies focus on insurance ownership or demand, offering limited insight into whether perceived adequacy of insurance protection shapes subsequent investment behaviour.
Insurance may influence investment decisions by reducing background financial risk before any investment choice is made. Individuals who perceive their insurance coverage as adequate are likely to feel more financially secure, develop greater confidence in evaluating investment opportunities, and become more willing to accept investment risk. Although Shi et al. (2021) showed that insurance can encourage household portfolio allocation by lowering financial uncertainty, the psychological mechanisms connecting financial protection with stock market participation remain insufficiently understood.
This study addresses that gap by proposing a sequential mediation model in which Insurance Protection Adequacy (IPA) influences Stock Market Investment Behaviour (SMIB) through Perceived Financial Security (PFS), Investment Confidence (IC), and Risk Tolerance (RT). The framework integrates Household Finance Theory (Campbell, 2006), Behavioral Portfolio Theory (Shefrin & Statman, 2000), and Prospect Theory (Kahneman & Tversky, 1979). Together, these perspectives explain how effective financial protection can alter investor psychology and ultimately influence participation in equity markets.
The contribution of this research is threefold. It first broadens household finance literature by positioning insurance protection adequacy as a behavioural antecedent of stock market investment rather than viewing insurance solely as a mechanism for transferring risk. It also explains how perceived financial security, investment confidence, and risk tolerance operate as sequential psychological mechanisms linking financial protection with investment behaviour. Finally, evidence from insured investors in India extends the limited empirical literature from emerging markets and offers practical guidance for insurers, financial advisors, and policymakers seeking to strengthen household financial resilience while encouraging broader participation in capital markets.
Literature Review
Insurance Protection Adequacy
Insurance is a fundamental component of household financial planning because it protects individuals against financial shocks while supporting long-term financial resilience. Household Finance Theory views insurance, savings, and investment as complementary resource-allocation decisions rather than independent financial choices (Campbell, 2006). Recent policy discussions similarly emphasise adequate insurance protection as a foundation of sustainable financial planning (OECD, 2023).
Insurance ownership merely confirms the existence of a policy, whereas Insurance Protection Adequacy reflects an individual's perception that available coverage is sufficient to meet future financial obligations. Since this perception depends on income, liabilities, family responsibilities, and financial expectations, it is likely to influence financial behaviour more strongly than ownership alone.
Evidence suggests that adequate insurance reduces background financial risk and encourages participation in equity markets (Shi et al., 2021). However, previous studies have focused largely on objective measures of insurance coverage, leaving limited understanding of how perceived insurance adequacy shapes subsequent investment behaviour. This study therefore conceptualises Insurance Protection Adequacy as a perception-driven behavioural construct.
Perceived Financial Security
Perceived Financial Security represents an individual's confidence in remaining financially stable despite future uncertainty (Netemeyer et al., 2018). Unlike objective measures of income or wealth, it reflects perceived financial resilience and is widely recognised as an important determinant of financial well-being and long-term planning (CFPB, 2017).
Adequate insurance protection enhances financial security by reducing uncertainty associated with unexpected losses. Individuals who perceive themselves as financially protected generally report lower financial stress and greater confidence in achieving future financial goals (Kempson & Poppe, 2018). Despite its importance, limited research has examined perceived financial security as the behavioural pathway linking insurance protection with investment behaviour.
Investment Confidence
Investment Confidence refers to an individual's belief in the ability to evaluate investment opportunities and make effective financial decisions. Unlike financial literacy, it reflects perceived capability rather than objective knowledge (Barber & Odean, 2001).
Confident investors are more likely to participate in equity markets and pursue long-term investment strategies. Fernandes et al. (2014) and Van Rooij et al. (2011) similarly found that confidence is an important driver of investment behaviour. By reducing concerns about unexpected financial losses, adequate insurance protection may strengthen investment confidence, although this relationship has received limited empirical attention.
Adequate insurance coverage reduces financial uncertainty and strengthens individuals' perceptions of financial stability and resilience (Netemeyer et al., 2018; OECD, 2023). Households that perceive their insurance protection as sufficient are therefore expected to experience greater financial security.
H1: Insurance Protection Adequacy positively influences Perceived Financial Security.
Persons who perceive themselves as economically secure are more likely to make investment decisions with confidence because financial protection reduces anxiety associated with future uncertainty (CFPB, 2017; Netemeyer et al., 2018).
H2: Perceived Financial Security positively influences Investment Confidence.
Behavioural finance suggests that confident investors perceive financial uncertainty as more manageable and therefore exhibit greater willingness to accept investment risk (Barber & Odean, 2001; Grable & Lytton, 1999).
H3: Investment Confidence positively influences Risk Tolerance.
Risk tolerance is consistently identified as a key determinant of equity investment and portfolio allocation. Investors with higher risk tolerance are more likely to participate actively in stock markets and allocate resources toward growth-oriented assets (Grable & Lytton, 1999; Weber et al., 2002).
H4: Risk Tolerance positively influences Stock Market Investment Behaviour.
H5: Perceived Financial Security mediates the relationship between Insurance Protection Adequacy and Investment Confidence.
H6: Perceived Financial Security and Investment Confidence sequentially mediate the relationship between Insurance Protection Adequacy and Risk Tolerance.
H7: Perceived Financial Security, Investment Confidence, and Risk Tolerance sequentially mediate the relationship between Insurance Protection Adequacy and Stock Market Investment Behaviour.
Table 1: Research Design Summary
|
Item |
Description |
|
Research approach |
Quantitative |
|
Research design |
Cross-sectional survey |
|
Population |
Insured investors in India |
|
Sampling technique |
Purposive sampling |
|
Final sample |
487 respondents |
|
Data collection |
Online structured questionnaire |
|
Scale |
Seven-point Likert |
|
Analysis software |
IBM SPSS 29, AMOS 29 |
|
Statistical technique |
CB-SEM with bootstrapping 5000 |
|
Ethical Considerations |
Voluntary, Informed consent |
|
Construct |
Items |
Primary Sources |
|
Insurance Protection Adequacy |
5 |
Campbell (2006); OECD (2023); CFPB (2017) |
|
Perceived Financial Security |
5 |
Netemeyer et al. (2018); CFPB (2017) |
|
Investment Confidence |
5 |
Fernandes et al. (2014); Van Rooij et al. (2011) |
|
Risk Tolerance |
5 |
Grable & Lytton (1999); Weber et al. (2002) |
|
Stock Market Investment Behaviour |
6 |
Campbell (2006); Van Rooij et al. (2011) |
Results
A total of 487 valid questionnaires were retained for analysis after data screening. The respondents comprised insured individuals with prior investment experience, consistent with the study's inclusion criteria.
Table 3. Demographic Profile of Respondents (N = 487)
|
Variable |
Category |
Frequency |
Percentage (%) |
|
Gender |
Male |
282 |
57.9 |
|
Female |
196 |
40.2 |
|
|
Prefer not to say |
9 |
1.9 |
|
|
Total |
487 |
100.0 |
|
|
Age Group |
21–30 years |
146 |
30.0 |
|
31–40 years |
154 |
31.6 |
|
|
41–50 years |
103 |
21.1 |
|
|
51–60 years |
63 |
12.9 |
|
|
Above 60 years |
21 |
4.3 |
|
|
Total |
487 |
100.0 |
|
|
Educational Qualification |
Undergraduate |
117 |
24.0 |
|
Professional Qualification |
96 |
19.7 |
|
|
Postgraduate |
219 |
45.0 |
|
|
Doctorate |
55 |
11.3 |
|
|
Total |
487 |
100.0 |
|
|
Occupation |
Salaried Employee |
181 |
37.2 |
|
Government Employee |
68 |
14.0 |
|
|
Business Owner |
84 |
17.2 |
|
|
Self-employed Professional |
74 |
15.2 |
|
|
Retired |
35 |
7.2 |
|
|
Other |
45 |
9.2 |
|
|
Total |
487 |
100.0 |
|
|
Annual Household Income |
Below ₹5 lakh |
74 |
15.2 |
|
₹5–10 lakh |
126 |
25.9 |
|
|
₹10–20 lakh |
163 |
33.5 |
|
|
₹20–30 lakh |
76 |
15.6 |
|
|
Above ₹30 lakh |
48 |
9.9 |
|
|
Total |
487 |
100.0 |
|
|
Investment Experience |
Less than 1 year |
71 |
14.6 |
|
1–3 years |
118 |
24.2 |
|
|
4–7 years |
131 |
26.9 |
|
|
8–10 years |
91 |
18.7 |
|
|
More than 10 years |
76 |
15.6 |
|
|
Total |
487 |
100.0 |
The respondents were predominantly male (57.9%) and largely between 21 and 40 years of age (61.6%). Nearly half (45.0%) were postgraduates, while salaried employees represented the largest occupational group (37.2%). Most participants (59.4%) reported annual household incomes between ₹5 lakh and ₹20 lakh, and 61.2% had more than four years of investment experience, suggesting adequate familiarity with insurance and investment decisions.
Table 4. Insurance and Investment Profile of Respondents
|
Variable |
Category |
Frequency |
Percentage (%) |
|
Number of Insurance Policies |
2 Policies |
82 |
16.8 |
|
3 Policies |
126 |
25.9 |
|
|
4 Policies |
201 |
41.3 |
|
|
5 or more Policies |
78 |
16.0 |
|
|
Total |
487 |
100.0 |
|
|
Coverage Duration |
Less than 2 years |
69 |
14.2 |
|
2–5 years |
161 |
33.1 |
|
|
6–10 years |
145 |
29.8 |
|
|
More than 10 years |
112 |
23.0 |
|
|
Total |
487 |
100.0 |
|
|
Annual Insurance Premium |
Less than ₹20,000 |
119 |
24.4 |
|
₹20,001–50,000 |
176 |
36.1 |
|
|
₹50,001–1,00,000 |
137 |
28.1 |
|
|
Above ₹1,00,000 |
55 |
11.3 |
|
|
Total |
487 |
100.0 |
|
|
Investment Experience |
Less than 1 year |
71 |
14.6 |
|
1–3 years |
118 |
24.2 |
|
|
4–7 years |
131 |
26.9 |
|
|
8–10 years |
91 |
18.7 |
|
|
More than 10 years |
76 |
15.6 |
|
|
Total |
487 |
100.0 |
|
|
Equity Allocation in Household Savings |
Less than 10% |
56 |
11.5 |
|
10–25% |
126 |
25.9 |
|
|
26–50% |
178 |
36.6 |
|
|
51–75% |
94 |
19.3 |
|
|
Above 75% |
33 |
6.8 |
|
|
Total |
487 |
100.0 |
Prior to hypothesis testing, descriptive statistics were examined to evaluate the distributional characteristics of the measurement items.
Table 5. Descriptive Statistics of Measurement Items
|
Construct |
Mean Range |
Standard Deviation Range |
Skewness Range |
Kurtosis Range |
|
Insurance Protection Adequacy |
4.40–4.58 |
1.73–1.76 |
−0.295 to −0.184 |
−0.958 to −0.809 |
|
Perceived Financial Security |
4.46–4.55 |
1.67–1.81 |
−0.278 to −0.187 |
−1.003 to −0.670 |
|
Investment Confidence |
4.42–4.56 |
1.73–1.76 |
−0.271 to −0.146 |
−0.950 to −0.852 |
|
Risk Tolerance |
4.51–4.60 |
1.67–1.74 |
−0.285 to −0.248 |
−0.894 to −0.752 |
|
Stock Market Investment Behaviour |
4.45–4.56 |
1.72–1.80 |
−0.313 to −0.113 |
−0.963 to −0.822 |
Mean scores ranged from 4.40 to 4.60, indicating generally favourable perceptions across all constructs. Standard deviations varied between 1.67 and 1.81, suggesting adequate variability among respondents. Skewness (−0.313 to −0.113) and kurtosis (−1.003 to −0.670) values were within acceptable limits, confirming approximate normality and supporting the use of covariance-based structural equation modelling.
Internal consistency was first assessed using Cronbach's alpha.
Table 6. Reliability Analysis
|
Construct |
No. of Items |
Cronbach's Alpha |
|
Insurance Protection Adequacy |
5 |
0.893 |
|
Perceived Financial Security |
5 |
0.884 |
|
Investment Confidence |
5 |
0.903 |
|
Risk Tolerance |
5 |
0.882 |
|
Stock Market Investment Behaviour |
6 |
0.914 |
Table 7. Exploratory Factor Analysis Results
|
Assessment Criterion |
Result |
Recommended Value |
Decision |
|
KMO Measure |
0.953 |
> 0.60 |
Excellent |
|
Bartlett's Test (χ²) |
8013.709 |
Significant |
Supported |
|
Degrees of Freedom |
325 |
— |
— |
|
Significance |
< 0.001 |
p < 0.05 |
Supported |
|
Number of Factors Extracted |
5 |
Eigenvalue > 1 |
Supported |
|
Total Variance Explained |
69.996% |
> 60% |
Excellent |
|
Communality Range |
0.625–0.769 |
> 0.50 |
Supported |
|
Factor Loading Range |
0.710–0.805 |
> 0.70 |
Strong |
The KMO value of 0.953 indicated excellent sampling adequacy, while Bartlett's Test was statistically significant (χ² = 8013.709, p < 0.001), confirming the appropriateness of factor analysis. Principal Component Analysis with Varimax rotation extracted five factors with eigenvalues greater than one, jointly explaining 69.996% of the total variance. Communality values ranged from 0.625 to 0.769, indicating satisfactory representation of all observed variables.
Table 8. Rotated Factor Loadings
|
Construct |
Items |
Factor Loading |
|
Insurance Protection Adequacy (IPA) |
IPA1 |
0.773 |
|
IPA2 |
0.805 |
|
|
IPA3 |
0.759 |
|
|
IPA4 |
0.789 |
|
|
IPA5 |
0.772 |
|
|
Perceived Financial Security (PFS) |
PFS1 |
0.710 |
|
PFS2 |
0.723 |
|
|
PFS3 |
0.744 |
|
|
PFS4 |
0.744 |
|
|
PFS5 |
0.729 |
|
|
Investment Confidence (IC) |
IC1 |
0.752 |
|
IC2 |
0.712 |
|
|
IC3 |
0.787 |
|
|
IC4 |
0.725 |
|
|
IC5 |
0.738 |
|
|
Risk Tolerance (RT) |
RT1 |
0.747 |
|
RT2 |
0.790 |
|
|
RT3 |
0.760 |
|
|
RT4 |
0.769 |
|
|
RT5 |
0.737 |
|
|
Stock Market Investment Behaviour (SMIB) |
SMIB1 |
0.776 |
|
SMIB2 |
0.769 |
|
|
SMIB3 |
0.791 |
|
|
SMIB4 |
0.730 |
|
|
SMIB5 |
0.796 |
|
|
SMIB6 |
0.756 |
These findings provide preliminary evidence of construct validity and support proceeding with confirmatory factor analysis.
The measurement model demonstrated an excellent fit to the observed data (χ²/df = 1.075, GFI = 0.954, AGFI = 0.944, NFI = 0.962, IFI = 0.997, TLI = 0.997, CFI = 0.997, RMSEA = 0.012), indicating that the proposed factor structure adequately represented the data.
Table 9. Measurement Model Assessment
|
Construct |
Loading Range |
Cronbach's α |
CR |
AVE |
|
Insurance Protection Adequacy (IPA) |
0.757–0.832 |
0.893 |
0.893 |
0.626 |
|
Perceived Financial Security (PFS) |
0.754–0.846 |
0.884 |
0.885 |
0.607 |
|
Investment Confidence (IC) |
0.779–0.836 |
0.903 |
0.904 |
0.654 |
|
Risk Tolerance (RT) |
0.734–0.812 |
0.882 |
0.883 |
0.601 |
|
Stock Market Investment Behaviour (SMIB) |
0.737–0.850 |
0.914 |
0.914 |
0.642 |
All standardized factor loadings, C alpha, CR, AVE confirming satisfactory internal consistency and convergent validity.
Table 10. Overall Model Fit Indices
|
Fit Index |
Obtained Value |
Recommended |
Assessment |
|
χ²/df |
1.075 |
< 3.00 |
Excellent |
|
GFI |
0.954 |
> 0.90 |
Excellent |
|
AGFI |
0.944 |
> 0.90 |
Excellent |
|
NFI |
0.962 |
> 0.90 |
Excellent |
|
IFI |
0.997 |
> 0.95 |
Excellent |
|
TLI |
0.997 |
> 0.95 |
Excellent |
|
CFI |
0.997 |
> 0.95 |
Excellent |
|
RMSEA |
0.012 |
< 0.08 |
Excellent |
|
RMR |
0.078 |
< 0.08 |
Acceptable |
|
PCLOSE |
1.000 |
> 0.05 |
Excellent |
The overall fit indices satisfied the recommended criteria for covariance-based structural equation modelling, confirming that the measurement model provided an adequate representation of the observed data.
Table 11. Fornell–Larcker Criterion
|
Construct |
IPA |
PFS |
IC |
RT |
SMIB |
|
IPA |
0.791 |
||||
|
PFS |
0.675 |
0.779 |
|||
|
IC |
0.511 |
0.683 |
0.809 |
||
|
RT |
0.349 |
0.490 |
0.583 |
0.775 |
|
|
SMIB |
0.432 |
0.477 |
0.611 |
0.620 |
0.801 |
Discriminant validity is confirming that the constructs were analytically different. Collectively, these findings demonstrate that the measurement model possesses satisfactory reliability and validity for subsequent structural model analysis.
Table 12. Structural Path Estimates
|
Hypothesis |
Structural Path |
β |
C.R. |
p-value |
Decision |
|
H1 |
IPA → PFS |
0.682 |
12.349 |
<0.001 |
Supported |
|
H2 |
PFS → IC |
0.697 |
13.087 |
<0.001 |
Supported |
|
H3 |
IC → RT |
0.624 |
12.060 |
<0.001 |
Supported |
|
H4 |
RT → SMIB |
0.648 |
12.566 |
<0.001 |
Supported |
The structural model provided strong support for the proposed relationships
Table 13. Coefficient of Determination (R²)
|
Endogenous Construct |
R² |
Interpretation |
|
Perceived Financial Security |
0.465 |
Moderate |
|
Investment Confidence |
0.485 |
Moderate |
|
Risk Tolerance |
0.389 |
Moderate |
|
Stock Market Investment Behaviour |
0.420 |
Moderate |
Overall, the structural model confirms the sequential relationship proposed in this study, whereby insurance protection enhances financial security, strengthens investment confidence, increases willingness to accept financial risk, and ultimately promotes stock market investment behaviour.
The proposed mediating effects were examined using the bias-corrected bootstrap procedure with 5,000 resamples and 95% confidence intervals. Mediation was considered significant when the confidence interval excluded zero.
Table 14. Bootstrap Mediation Results
|
Hypothesis |
Indirect Path |
Standardized Effect |
95% Bootstrap CI |
Decision |
|
H5 |
IPA → PFS → IC |
0.475 |
Excludes zero |
Supported |
|
H6 |
IPA → PFS → IC → RT |
0.296 |
Excludes zero |
Supported |
|
H7 |
IPA → PFS → IC → RT → SMIB |
0.192 |
Excludes zero |
Supported |
These findings demonstrate that the influence of insurance protection on stock market investment behaviour is transmitted through a sequence of psychological mechanisms rather than operating solely through a direct effect. Specifically, adequate insurance protection enhances perceptions of financial security, strengthens investment confidence, increases willingness to tolerate financial risk, and ultimately promotes greater participation in equity markets.
Instead of ending with mediation alone, most Q1 journals conclude the Results section with a concise hypothesis summary.
|
Hypothesis |
Relationship |
Result |
|
H1 |
IPA → PFS |
Supported |
|
H2 |
PFS → IC |
Supported |
|
H3 |
IC → RT |
Supported |
|
H4 |
RT → SMIB |
Supported |
|
H5 |
IPA → PFS → IC |
Supported |
|
H6 |
IPA → PFS → IC → RT |
Supported |
|
H7 |
IPA → PFS → IC → RT → SMIB |
Supported |
As shown in Table 15, all proposed hypotheses were empirically supported, providing evidence for the sequential mechanism through which insurance protection adequacy promotes stock market investment behaviour.
This study demonstrates that Insurance Protection Adequacy (IPA) influences Stock Market Investment Behaviour (SMIB) through the sequential effects of Perceived Financial Security (PFS), Investment Confidence (IC), and Risk Tolerance (RT). Rather than directly driving investment decisions, adequate insurance encourages equity market participation by strengthening key psychological mechanisms.
The findings support Household Finance Theory (Campbell, 2006), suggesting that effective financial protection reduces uncertainty and enables households to allocate resources more confidently toward long-term wealth creation. Consistent with Shi et al. (2021), adequate insurance enhances perceptions of financial security, while extending prior research by showing that perceived insurance adequacy, rather than policy ownership alone, influences investment behaviour.
Perceived financial security was found to strengthen investment confidence, which subsequently increased risk tolerance. These findings align with Prospect Theory (Kahneman & Tversky, 1979) and previous behavioural finance research (Fernandes et al., 2014; Van Rooij et al., 2011; Grable, 2016), indicating that financially secure individuals are more willing to accept investment risk and participate in equity markets.
Overall, the study contributes to household and behavioural finance by demonstrating that insurance supports wealth creation through a sequence of psychological processes rather than solely through risk transfer. Integrating Household Finance Theory, Behavioral Portfolio Theory, and Prospect Theory, the proposed model offers a comprehensive explanation of how financial protection encourages long-term investment behaviour.
The study contributes to household finance and behavioural finance by integrating insurance protection and stock market investment behaviour within a unified behavioural framework. Unlike earlier research that examined insurance and investment decisions independently, the proposed model demonstrates that insurance protection influences investment behaviour through the sequential effects of perceived financial security, investment confidence, and risk tolerance. These findings extend Household Finance Theory, Behavioral Portfolio Theory, and Prospect Theory by showing that financial protection shapes investment decisions through interconnected psychological processes rather than direct economic effects alone.
The findings have implications for insurers, financial advisors, and policymakers. Insurance providers should position adequate insurance coverage as a foundation for long-term financial planning rather than merely a risk-transfer product. Financial advisors can encourage investment participation by integrating insurance planning with investment advisory services, thereby strengthening clients' financial security and confidence before recommending higher-risk assets. Policymakers should promote financial literacy initiatives that present insurance protection and capital market participation as complementary components of household financial resilience and long-term wealth creation.
This study examined the relationship between Insurance Protection Adequacy and Stock Market Investment Behaviour through the sequential mediating roles of Perceived Financial Security, Investment Confidence, and Risk Tolerance. The findings demonstrate that adequate insurance coverage strengthens financial security, builds investment confidence, increases willingness to accept financial risk, and ultimately promotes greater participation in equity markets.
By identifying these sequential behavioural mechanisms, the study extends household finance and behavioural finance literature while highlighting insurance as more than a risk management instrument. Adequate financial protection also creates conditions that encourage long-term investment and wealth creation. These findings provide useful guidance for insurers, financial advisors, and policymakers seeking to strengthen household financial resilience and broaden participation in capital markets.
This study has several limitations. First, the cross-sectional design restricts causal inference despite the theoretical basis of the proposed model. Second, the sample comprised insured investors in India, which may limit the generalisability of the findings to other institutional and cultural settings. Third, although the model explains a substantial proportion of variation in stock market investment behaviour, additional factors such as financial literacy, digital financial inclusion, behavioural biases, and market sentiment may further improve its explanatory power.
Future research could employ longitudinal, cross-country, or multi-group research designs to examine the stability of the proposed framework across different financial environments. Extending the model by incorporating additional behavioural or institutional variables may also provide a more comprehensive understanding of household investment decisions. Researchers may also investigate possible moderating variables, with age, income, financial literacy, and investment experience, to better comprehend the conditions under which insurance protection translates into greater participation in equity markets.