Universitas Internasional Batam · Faculty of Business and Management

CEO Narcissism, Overconfidence, and Gender Diversity: Their Joint Effects on Firm Risk-Taking and Performance

Candy · Viviona Priscillia · Isnaini Nuzula Agustin

Group Presentation · 6 Presenters

01 Opening & Context Presenter 1

Research Question & Gap

This study examines how two CEO psychological traits — narcissism and overconfidence — jointly influence firm risk-taking and firm performance, and whether board gender diversity moderates those relationships. The study is set within the framework of Upper Echelons Theory (UET) and draws on data from 60 industrial firms listed on the Indonesia Stock Exchange (IDX) during 2019–2023.

Research Gap

Previous studies have largely examined CEO narcissism or overconfidence in isolation. Limited research has explored their combined effects on firm risk-taking and performance, particularly under the influence of gender diversity.

This study contributes by integrating both psychological traits within a single framework and analyzing their interaction with board composition in the Indonesian context, where female executive representation remains limited.

Theoretical Novelty

The study extends UET by integrating dual psychological traits (narcissism and overconfidence) as well as an organizational context variable (gender diversity), offering new insight into how CEO personalities interact with governance structures to shape firm behavior.

Practically, the study provides guidance for boards of directors and policymakers to design executive selection processes, monitoring mechanisms, and risk management strategies.

01 Opening & Context Presenter 1

The Indonesian Context

The Market

Indonesia provides a valuable yet unique empirical setting. As an emerging market with evolving governance systems, cultural norms, and relatively low female representation in top management, Indonesia faces distinct conditions under which CEO behavior and gender diversity may influence strategic risk-taking and firm performance.

The Period: 2019–2023

The timeframe captures firm behavior during significant global and domestic economic changes, including the global pandemic and the recovery that followed, which are expected to influence CEO decision-making and firm risk-taking dynamics.

The Sector: Industrial Firms

Industrial firms are characterized by higher capital intensity, long-term investment horizons, and greater exposure to operational and strategic risks compared to firms in service or financial sectors. These characteristics make managerial traits, including narcissism and overconfidence, particularly salient in shaping corporate risk-taking and performance outcomes.

Why Governance Matters Here

Gender diversity is an increasingly vital component of effective corporate governance. In Indonesia, diverse leadership tends to encourage more balanced perspectives and minimize excessive risk-taking behavior. Gender diversity serves as a moderating factor that can mitigate the negative effects of CEO narcissism and overconfidence.

60
Industrial Firms
941
IDX Population
300
Firm-Years (N)
2019–23
Observation Period
02 Theory & Hypotheses Presenter 2

Theoretical Framework

Drawing from Upper Echelons Theory (UET), this study posits that firm outcomes are shaped by and reflective of the personal and cognitive attributes of top management. CEO narcissism and overconfidence, as key psychological traits, influence strategic risk-taking and performance outcomes. Gender diversity, informed by complementary theories, is introduced as a moderating factor that can mitigate excessive risk and enhance governance effectiveness.

Upper Echelons Theory

Executives' psychological and cognitive attributes shape how they assess and implement solutions to strategic challenges. The primary backbone of the paper.

Social Role Theory

Women leaders, shaped by social expectations of empathy, collaboration, and caution, are more likely to exhibit risk-averse and ethically grounded decision-making patterns.

Behavioral Agency Theory

Diverse boards with female members introduce alternative perspectives that reduce managerial overconfidence and align decisions with collective long-term interests.

Resource Dependence Theory

Gender diversity enriches the board's resources and perspectives, stabilizing decision-making and enhancing adaptability. It helps transform CEO narcissism and overconfidence into constructive leadership energy.

02 Theory & Hypotheses Presenter 2

Hypotheses

Eight hypotheses are tested. The state of each chip below is neutral at this stage. Findings are reported in Section 5.

Supported Rejected Not significant

H1 CEO narcissism affects corporate risk-taking.

H2 CEO narcissism affects firm performance.

H3 CEO overconfidence affects corporate risk-taking.

H4 CEO overconfidence affects firm performance.

H5 Gender diversity moderates the effect of CEO narcissism on firm risk-taking.

H6 Gender diversity moderates the effect of CEO overconfidence on firm risk-taking.

H7 Gender diversity moderates the effect of CEO narcissism on firm performance.

H8 Gender diversity moderates the effect of CEO overconfidence on firm performance.

Research Model — Figure 1

Figure 1 is the hypothesised research model. It shows the paths the study set out to test, not the final results. The moderation paths (H5–H8) are proposals that the study tests in Sections 5–6; they are not established findings.

CEO Narcissism Independent variable CEO Overconfidence Independent variable Firm Risk-Taking Dependent variable Firm Performance Dependent variable H1 H2 H3 H4 Gender Diversity Moderator (hypothesised) H5 H6 H7 H8 Direct effect (H1–H4) Moderation (H5–H8, lands on the path) Recreation of Fig. 1. H5–H8 not supported (Slide 10).

The actual Figure 1 image is not present in the working file set. This SVG is a faithful structural recreation of the hypothesised model.

03 Methodology Presenter 3

Research Methodology

Data Source

Secondary data from annual and financial reports, 2019–2023, sourced from the official IDX website, Yahoo Finance, and company websites.

Sampling

Purposive sampling. Population: 941 IDX-listed firms. Sample: 60 industrial-sector firms consistently listed 2019–2023 with complete, publicly accessible annual and financial reports.

Analysis

Panel data design. Ordinary Least Squares (OLS) regression and Moderated Multiple Regression (MMR). All variables standardized before testing. Controls: leverage, CEO gender, firm age.

Table 1. Variable Measurement
Category Variable Measurement Source
Dependent Firm Risk-taking σRit = standard deviation of firm returns Hesniati et al. (2024)
Dependent Firm Performance Net Income / Total Assets × 100% Agnihotri & Bhattacharya (2024)
Independent CEO Narcissism 1–5 scale based on CEO photo prominence in annual reports: no photo; group photo with co-executives; <½ page; >½ page; full page.† Candy & Delfina (2023)
Independent CEO Overconfidence Dummy: 1 if firm DER > industry median; 0 otherwise Candy & Delfina (2023)
Moderator Gender Diversity Percentage of female directors Amin et al. (2024)
Control Leverage Total Liabilities / Total Assets Agnihotri & Bhattacharya (2024)
Control CEO Gender Dummy: 1 = female, 0 = male She et al. (2020)
Control Firm Age Current year − year of establishment Agnihotri & Bhattacharya (2024)

Source: Processed data (2025). Financial data cross-checked against IDX official database. Inter-rater reliability assessed through independent coding by two raters.

† Coding note. The source paper's Table 1 lists the scale beginning at 1 (1 = no CEO photo); its own Table 2 reports a minimum of 0.000 and its descriptive narrative states "0 = no CEO picture." The two are inconsistent within the source. Verify the intended coding with the authors before presenting. This deck reproduces the scale without asserting the contested anchor value.

Variable construction vs. standardization

Table 1 defines how each variable is constructed (operational definition / formula). The paper separately states that all variables were standardized before statistical testing. These are two distinct steps: Table 1 = variable construction; standardization = a later data-preparation step (commonly a z-score, z = (x − mean) / SD); regression = the statistical test on the prepared variables. The paper does not print a standardization formula; do not present one as such.

04 Descriptive Results Presenter 4

Descriptive Statistics

Table 2. Descriptive Statistics
Variable Minimum Maximum Mean Std. Deviation
Risk-taking0.0007.7010.1180.718
Firm Performance−12.1841.6070.0190.737
CEO Narcissism0.0005.0003.4601.354
CEO Overconfidence0.0001.0000.4600.499
Female Director0.0000.6670.1030.148
Leverage0.0000.7440.2480.190
CEO Gender0.0001.0000.0500.211
Firm Age5.000153.00032.00022.604

Key Observations

Risk-taking mean is low (0.118), indicating a tendency toward small risks, with substantial variation (SD = 0.718). Firm performance mean is close to zero (0.019), indicating stable financial performance across most of the sample.

Governance Composition

Only ~10.34% of board seats are held by women. About 5% of the sample is led by female CEOs. CEO overconfidence: ~46% of the sample falls in the overconfident category (DER above industry median).

04 Descriptive Results Presenter 4

Correlations & Preliminary Difference Test

Table 3. Pearson Correlation Coefficients (Selected)
RiskTak.Perf.Narciss.Overconf.Female Dir.Leverage
Risk-taking1.000
Firm Performance0.468***1.000
CEO Narcissism0.115**0.146**1.000
CEO Overconfidence−0.076−0.193***0.0101.000
Female Director−0.0590.121**0.017−0.207***1.000
Leverage−0.164***−0.291***−0.0260.764***−0.202***1.000

Full table available in source paper. * p<0.10, ** p<0.05, *** p<0.01.

Correlation is not causation

Table 3 shows bivariate associations only. It does not test H1–H8. The formal hypothesis tests are the regression and interaction models in Sections 5–6. Do not describe the correlation table as confirming or rejecting any hypothesis.

Table 4. Independent Sample t-Test — CEO Overconfidence
GroupObsMeanSD
Low overconfidence (0)1610.09530.5438
High overconfidence (1)1390.14380.8798
Combined3000.11780.7184

Mean difference = −0.0485, t = −0.5825. Not statistically significant. This is a preliminary independent-samples difference test, not the formal hypothesis test. Note the distinction: the CEO Overconfidence variable in Table 1 is defined by the DER/industry-median rule; the t-test below groups observations around the sample mean (0.46). These are two different operations. Full hypothesis testing follows in Section 5 (direct effects) and Section 6 (moderation).

Notable Correlations

• CEO narcissism is positively related to both risk-taking (r = 0.115**) and firm performance (r = 0.146**).
• CEO overconfidence is negatively related to firm performance (r = −0.193***).
• Leverage is strongly positively correlated with CEO overconfidence (r = 0.764***), indicating overconfident CEOs tend to rely more heavily on debt financing.

05 Direct Effects Presenter 5

Direct Effects: Regression Results

Table 5. Regression Analysis — Risk-Taking
Variable(1)(2)(3)(4)(5)
CEO Narcissism 0.00402* (1.99) 0.00405* (2.00) 0.00376 (1.88) 0.00378 (1.88) 0.00382 (1.91)
CEO Overconfidence −0.00737 (−1.34) 0.0107 (1.27) 0.0112 (1.30) 0.00966 (1.12)
Leverage −0.0621** (−2.80) −0.0635** (−2.79) −0.0617** (−2.72)
Firm Age −0.000231 (−1.94)
Constant 0.0252*** (3.35) 0.0286*** (3.61) 0.0366*** (4.39) 0.0368*** (4.39) 0.0448*** (4.82)
N300300300300300

H1 CEO Narcissism → Firm Risk-Taking

Supported. Coefficient positive and significant at the 10% level. CEOs with strong narcissistic traits tend to pursue bold strategies and ambitious decisions that increase the firm's exposure to risk.

H3 CEO Overconfidence → Firm Risk-Taking

Not supported. CEO overconfidence does not appear to influence risk-taking, suggesting that confidence alone is insufficient to drive risky strategic actions.

Table 6. Regression Analysis — Firm Performance
Variable(1)(2)(3)(4)(5)
CEO Narcissism 0.0101* (2.55) 0.0102** (2.63) 0.00942* (2.49) 0.00918* (2.44) 0.00914* (2.42)
CEO Overconfidence −0.0362*** (−3.45) 0.0114 (0.72) 0.00434 (0.27) 0.00581 (0.36)
Leverage −0.164*** (−3.92) −0.146*** (−3.41) −0.147*** (−3.45)
CEO Gender 0.0507* (2.05) 0.0471 (1.88)
N300300300300300

H2 CEO Narcissism → Firm Performance

Supported. CEO narcissism exerts a significant positive influence on firm performance across all models (t ≈ 2.42–2.63).

H4 CEO Overconfidence → Firm Performance

The paper reports a significant negative coefficient in Model (2): −0.0362***, significant at the 1% level. After controls are added (Models 3–5), the coefficient becomes positive and statistically insignificant. The paper's discussion and conclusion treat H4 as supported with a negative effect. Note: the abstract's phrasing ("enhances performance") is the outlier — the regression tables and discussion sections are internally consistent.

06 Moderation & Conclusion Presenter 6

Moderation Results: Gender Diversity

Table 7. Moderation Results — Risk-Taking
Variable(1)(2)
CEO Narcissism0.00597**
Female Director0.0395−0.0361
Narcissism × Female Dir.−0.0197
CEO Overconfidence−0.0119*
Overconfidence × Female Dir.0.0346
N300300

H5 Gender Diversity moderates Narcissism → Risk-Taking

Not supported. Interaction term = −0.0197, not significant.

H6 Gender Diversity moderates Overconfidence → Risk-Taking

Not supported. Interaction term = 0.0346, not significant.

Table 8. Moderation Results — Firm Performance
Variable(1)(2)
CEO Narcissism0.0133***
Female Director0.181**0.0208
Narcissism × Female Dir.−0.0357
CEO Overconfidence−0.0419***
Overconfidence × Female Dir.0.103
N300300

H7 Gender Diversity moderates Narcissism → Firm Performance

Not supported. Interaction term = −0.0357, not significant.

H8 Gender Diversity moderates Overconfidence → Firm Performance

Not supported. Interaction term = 0.103, not significant.

Null Moderation Result — an important finding

The presence of female directors on the board neither enhances nor diminishes the impact of CEO narcissism or CEO overconfidence on firm risk-taking or firm performance. All four interaction terms (H5–H8) are not statistically significant.

In Indonesia, the proportion of women on corporate boards remains relatively low, and their influence may be limited by entrenched hierarchical and cultural norms that constrain active participation. Female board representation may be more symbolic than substantive in influencing executive behavior. In addition, many Indonesian firms have concentrated ownership structures, where decision-making authority is heavily centralized in the CEO or controlling shareholders, reducing the practical influence of the board.

This contrasts with studies from developed markets (Sbai et al., 2024; Teodósio et al., 2021), which found that gender-diverse boards effectively constrain risk-taking behavior. The divergence can be attributed to differences in institutional maturity, governance enforcement, and the actual role of women in corporate decision-making.

06 Moderation & Conclusion Presenter 6

Robustness Check & Summary

Table 9. Robustness Test — Proxy Substitution
Variable(1) Leverage(2) ROE
CEO Narcissism−0.00393−0.0000451
CEO Overconfidence0.294***−0.0243
Female Director−0.0226−0.168
CEO Gender−0.124***0.301**
Firm Age0.0002360.00177*
N300300

Risk-taking is replaced with leverage; firm performance is assessed using ROE. This is an alternative-measure robustness check. The paper does not provide a detailed coefficient-by-coefficient interpretation of Table 9; do not claim it proves every main finding is unchanged.

Summary of Hypothesis Outcomes

HypothesisFindingState
H1 Narcissism → Risk-taking Positive, significant Supported
H2 Narcissism → Performance Positive, significant Supported
H3 Overconfidence → Risk-taking Not significant Not supported
H4 Overconfidence → Performance Negative, significant in Model 2 only Supported (negative)
H5 Gender mod. Narcissism → Risk Not significant Not supported
H6 Gender mod. Overconf. → Risk Not significant Not supported
H7 Gender mod. Narcissism → Perf. Not significant Not supported
H8 Gender mod. Overconf. → Perf. Not significant Not supported
06 Conclusion & Recommendation Presenter 6

Conclusion & Recommendations

Summary of Findings

CEO narcissism positively affects both firm risk-taking and firm performance. CEO overconfidence exhibits a negative relationship with firm performance. Gender diversity does not significantly moderate the relationship between CEO traits, risk-taking, and firm performance.

These findings align with Upper Echelons Theory, emphasizing that CEOs' psychological attributes play a crucial role in shaping strategic decisions and corporate outcomes.

Theoretical Contribution

The study reinforces UET's core proposition while extending it to emerging market contexts characterized by hierarchical governance and collectivist norms. It contributes to behavioral finance by emphasizing how cultural and institutional features shape the manifestation of cognitive biases among executives.

In collectivist or high power-distance cultures, CEO traits may exert stronger, less moderated effects, representing a boundary condition for traditional UET assumptions.

Practical Implications

• Firms should integrate psychological profiling into leadership selection and governance design to promote balanced risk-taking.

• HR and nomination committees should integrate psychological assessments to identify potential overconfidence or narcissistic tendencies that may affect corporate strategy.

• Gender diversity initiatives should move beyond numerical representation to ensure substantive participation and oversight power.

• Regulators and policymakers may consider revising governance codes to enhance the structural authority and monitoring capacity of female directors, particularly in high-risk industries.

Limitations

The observation period is relatively short (2019–2023), relying on annual and financial reports from this period. The sample is restricted to the industrial sector on the IDX; generalizability to other sectors and markets is not established.

Recommendations for Future Research

• Employ a longer observation period to capture long-term effects of CEO traits.

• Broaden the scope of references and data sources to strengthen validity.

• Examine how gender diversity moderates these relationships across different organizational and cultural contexts.

• Broaden the scope across industries and cultural contexts.