In the world of mutual fund analysis, we tend to focus on the same familiar metrics:
Sharpe ratios, Treynor ratios, tracking errors, drawdowns, volatility rankings.
These numbers dominate marketing brochures, performance tables, and most investor conversations. And while they matter, they all look at how a fund performs — not whether it survives.
But what if one of the biggest risks in Greek equity mutual funds is not return-related at all?
What if the biggest risk is simply… disappearing?
Building a Dataset That Shows a Different Side of Risk
To explore this, I analysed the full time-series histories of all Greek domestic equity mutual funds that appeared in HFAMA’s registry between 31/12/2011 and 17/01/2025, using each fund’s inception and close date to reconstruct its complete lifetime up to 20/01/2025.
Note: A fund’s “close date” includes both liquidations and mergers/absorptions.
In UCITS structures, investors typically retain their value, but the fund itself ceases to exist as an independent product. For the purpose of survival analysis, these events are treated the same, because the original strategy, mandate, and track record end — reducing product continuity, investor choice, and long-term comparability.
Survival analysis captures this product-level longevity —not investor losses — and reveals how stable or fragile the market truly is. This allows us to build a dataset rarely used in day-to-day finance but incredibly powerful:
👉 The Kaplan–Meier survival curve (used in biostatistics and reliability analysis to measure how long something stays "alive")
👉 The hazard rate over the fund’s lifecycle (used in survival analysis to estimate the probability of failure at each point in time)
These tools reveal risks that traditional performance and risk ratios will never show.
Why Survival Matters: The Blind Spot in Greek Mutual Fund Analysis
Typical metrics assume a simple fact:
That the fund will still exist next year.
But Greek mutual funds operate in a small, bank-dominated market where closures, mergers, and restructurings are common. Many funds disappear quietly — not because they fail spectacularly, but because:
they lose assets under management,
their mandate becomes outdated,
the management company restructures product lines,
or they simply no longer justify operational costs.
Traditional ratios were never designed to capture this structural fragility.
Survival analysis does.
📈 What the Kaplan–Meier Curve Shows
The survival curve of Greek equity mutual funds tells a remarkably consistent story:
1-year survival: ~99%
5-year survival: ~87%
10-year survival: ~80%
14-year survival: ~57%
27-year survival: ~38%
In simple terms:
👉 Half of all Greek equity mutual funds disappear by year 14.
This pattern is invisible if you only look at Sharpe, Treynor, or volatility.
⚠️ The Hazard Rate: The “Risk of Closure” at Each Age
The hazard rate — the probability a fund closes this year, given it has survived so far — adds an even deeper layer.
It starts low:
1.2%–1.5% annually in years 0–5
Then rises steadily:
~2%–3% in years 6–12
~6% at years 14–15
~8% by year 28
This creates a clear pattern:
👉 Greek funds face a mid-life crisis around years 10–15, where closure risk accelerates.
⭐ A New Measure #1: The Survival Efficiency Ratio (SER)
To bridge the gap between performance analysis and survival risk, I propose:
SER = Annualized Return × Survival Probability
SER rewards funds that deliver strong returns and remain structurally resilient.
It penalizes funds that show good historical Sharpe ratios but face a high likelihood of disappearing.
SER captures a simple truth:
👉 Investors don’t just want high returns — they want returns that will still exist tomorrow.
⭐ A New Measure #2: The Hazard-Adjusted Return (HAR)
Survival probability looks at the long-term risk of disappearance.
The hazard rate captures the current, age-specific risk of closure.
To integrate this directly into performance analysis, I propose a second metric:
HAR = Annualized Return ÷ (1 + Hazard Rate)
This metric penalizes funds that are currently in high-risk stages of their lifecycle — especially those in the 10–15 year danger zone where hazard rates spike.
Two funds may have identical returns, but the one with a lower hazard rate is far more reliable for long-term investors.
HAR makes that distinction clear.
Why Survival Analysis Belongs in Greek Fund Research
Survival curves and hazard rates reveal structural truths that traditional metrics ignore:
✔ Market fragility: Closures spike during restructurings and economic stress.
✔ Lifecycle patterns: Early stability, mid-life vulnerability, late-life risk.
✔ The limits of classic metrics: High risk-adjusted returns mean little if the product disappears.
✔ A more realistic view of long-term risk: For investors with a 10–20 year horizon, survival matters as much as performance.
👥 What This Means for Investors, Researchers, and Policymakers
For Investors
Don’t evaluate funds solely by Sharpe or past returns.
Consider survival probability and hazard rate as core parts of long-term risk.
Prefer funds with stable mandates and consistent AUM.
SER and HAR provide cleaner comparisons for long-term allocation decisions.
For Researchers
Survival analysis exposes structural market dynamics hidden from standard performance metrics.
Hazard rates offer a new lens on fund life cycles, product failures, and market evolution.
SER and HAR can be extended to other asset classes or cross-country comparisons.
For Policymakers & Regulators
High mid-life closure rates point to structural vulnerabilities in the Greek fund industry.
Mergers and closures cluster around periods of regulatory or market stress.
Improving transparency around closures, mandate changes, and restructuring events can reduce information asymmetry for retail investors.
Survival curves can serve as early-warning indicators of market health.
The Bottom Line
Greek equity mutual funds face a more complex risk environment than performance charts suggest.
Traditional ratios measure how well a fund performed — but not whether it will survive long enough to matter.
The Kaplan–Meier curve shows that disappearance is not a rare event but a structural feature of the Greek fund landscape.
The hazard rate reveals exactly when risk is highest.
SER and HAR provide two practical ways to incorporate survival risk into fund evaluation.
By integrating these tools, investors and researchers can build a far more honest picture of the Greek mutual fund market:
Performance matters — but survival is the hidden risk.
📂 Data & Replication Materials
All underlying datasets — including:
the full list of Greek equity mutual funds that appeared in the HFAMA registry (2011–2025)
each fund’s inception date, closure/merger date, and total lifetime (age)
Kaplan–Meier survival steps
survival probabilities
hazard-rate estimates
ready-to-use Excel files for calculating SER and HAR
…are available in a shared Google Drive folder:
Links
Blog
(1) Google: https://panagiotismoutsiopoulos.blogspot.com/
(2) LinkedIn: https://www.linkedin.com/in/panagiotis-moutsiopoulos/
(3) Dataset:
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