WXCIX vs. IIF
WXCIX (William Blair Emerging Markets ex China Growth Fund Class I) and IIF (Morgan Stanley India Investment Fund) are both Emerging Markets Equities funds. Over the past 3 years, WXCIX returned 35.36%/yr vs 12.31%/yr for IIF. At a 0.41 correlation, their price movements are largely independent. WXCIX charges 0.99%/yr vs 0.01%/yr for IIF.
Performance
WXCIX vs. IIF - Performance Comparison
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Returns By Period
In the year-to-date period, WXCIX achieves a 51.56% return, which is significantly higher than IIF's -14.17% return.
WXCIX
- 1D
- -0.08%
- 1M
- 10.98%
- YTD
- 51.56%
- 6M
- 57.29%
- 1Y
- 89.17%
- 3Y*
- 35.36%
- 5Y*
- —
- 10Y*
- —
IIF
- 1D
- 0.99%
- 1M
- -2.41%
- YTD
- -14.17%
- 6M
- -13.16%
- 1Y
- -14.06%
- 3Y*
- 12.31%
- 5Y*
- 7.52%
- 10Y*
- 7.88%
WXCIX vs. IIF - Yearly Performance Comparison
| 2026 (YTD) | 2025 | 2024 | 2023 | |
|---|---|---|---|---|
WXCIX William Blair Emerging Markets ex China Growth Fund Class I | 51.56% | 28.21% | 13.49% | 15.55% |
IIF Morgan Stanley India Investment Fund | -14.17% | 6.71% | 29.65% | 22.70% |
Correlation
The correlation between WXCIX and IIF is 0.31, which is low. Their price movements are largely independent, making them effective diversification partners.
| Correlation | |
|---|---|
Correlation (1Y) Calculated over the trailing 1-year period | 0.31 |
Correlation (3Y) Calculated over the trailing 3-year period | 0.40 |
Correlation (All Time) Calculated using the full available price history since May 18, 2023 | 0.41 |
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Return for Risk
WXCIX vs. IIF — Risk / Return Rank
WXCIX
IIF
WXCIX vs. IIF - Risk-Adjusted Trends Comparison
This table presents a comparison of risk-adjusted performance metrics for William Blair Emerging Markets ex China Growth Fund Class I (WXCIX) and Morgan Stanley India Investment Fund (IIF). Risk-adjusted metrics are performance indicators that assess an investment's returns in relation to its risk, enabling a more accurate comparison of different investment options.
| WXCIX | IIF | Difference | |
|---|---|---|---|
| Sharpe ratioReturn per unit of total volatility | +4.98 | ||
| Sortino ratioReturn per unit of downside risk | +6.19 | ||
| Omega ratioGain probability vs. loss probability | 1.70 | 0.86 | +0.84 |
| Calmar ratioReturn relative to maximum drawdown | 6.23 | -0.59 | +6.81 |
| Martin ratioReturn relative to average drawdown | 22.36 | -1.40 | +23.76 |
Data is calculated on a 1-year rolling basis and updated daily. The trend shows the change in the indicator over the past month. | |||
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Sharpe Ratios by Period
| WXCIX | IIF | Difference | |
|---|---|---|---|
Sharpe Ratio (1Y)Calculated over the trailing 1-year period | 4.09 | -0.89 | +4.98 |
Sharpe Ratio (5Y)Calculated over the trailing 5-year period | — | 0.48 | — |
Sharpe Ratio (10Y)Calculated over the trailing 10-year period | — | 0.40 | — |
Sharpe Ratio (All Time)Calculated using the full available price history | 2.02 | 0.38 | +1.64 |
Drawdowns
WXCIX vs. IIF - Drawdown Comparison
The maximum WXCIX drawdown since its inception was -19.66%, smaller than the maximum IIF drawdown of -62.11%. Use the drawdown chart below to compare losses from any high point for WXCIX and IIF.
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Drawdown Indicators
| WXCIX | IIF | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | -19.66% | -62.11% | +42.45% |
Max Drawdown (1Y)Largest decline over 1 year | -14.78% | -24.05% | +9.27% |
Max Drawdown (3Y)Largest decline over 3 years | -19.66% | -24.05% | +4.39% |
Max Drawdown (5Y)Largest decline over 5 years | — | -24.05% | — |
Max Drawdown (10Y)Largest decline over 10 years | — | -59.05% | — |
Current DrawdownCurrent decline from peak | -0.61% | -18.42% | +17.81% |
Average DrawdownAverage peak-to-trough decline | -3.14% | -19.77% | +16.63% |
Ulcer IndexDepth and duration of drawdowns from previous peaks | 4.10% | 10.05% | -5.95% |
Volatility
WXCIX vs. IIF - Volatility Comparison
William Blair Emerging Markets ex China Growth Fund Class I (WXCIX) has a higher volatility of 9.62% compared to Morgan Stanley India Investment Fund (IIF) at 5.40%. This indicates that WXCIX's price experiences larger fluctuations and is considered to be riskier than IIF based on this measure. The chart below showcases a comparison of their rolling one-month volatility.
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Volatility by Period
| WXCIX | IIF | Difference | |
|---|---|---|---|
Volatility (1M)Calculated over the trailing 1-month period | 9.62% | 5.40% | +4.22% |
Volatility (6M)Calculated over the trailing 6-month period | 19.46% | 13.37% | +6.09% |
Volatility (1Y)Calculated over the trailing 1-year period | 22.49% | 15.85% | +6.64% |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | 17.97% | 15.72% | +2.25% |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | 17.97% | 19.78% | -1.81% |
WXCIX vs. IIF - Expense Ratio Comparison
WXCIX has a 0.99% expense ratio, which is higher than IIF's 0.01% expense ratio.
Dividends
WXCIX vs. IIF - Dividend Comparison
WXCIX's dividend yield for the trailing twelve months is around 3.64%, less than IIF's 9.26% yield.
| Position | TTM | 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
IIF Morgan Stanley India Investment Fund | 9.26% | 7.95% | 10.67% | 14.61% | 19.62% | 3.75% | 0.02% | 0.14% | 30.40% | 15.23% | 4.46% | 0.16% |
WXCIX William Blair Emerging Markets ex China Growth Fund Class I | 3.64% | 5.52% | 0.00% | 0.83% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Frequently Asked Questions
WXCIX and IIF have a correlation of 0.31, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.
WXCIX has higher volatility (9.62%) compared to IIF (5.40%). In terms of maximum drawdown, WXCIX dropped -19.66% vs IIF's -62.11%.
WXCIX currently has the higher Sharpe Ratio (4.09 vs -0.89), meaning it's delivered slightly more return per unit of risk over the trailing 12 months. However, this ranking shifts over time - use the Risk/Return Score above for a more comprehensive view that combines Sharpe, Sortino, and other measures used by quantitative funds.
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