New World Value At Risk

RNWGX Fund  USD 106.42  3.50  3.40%   
Value At Risk (or VAR) is a statistical technique used to measure the level of financial risk of investment instrument over a specific time frame. It is a widely used measure of the risk of loss on a specific investing instrument. Below is New World's current Value At Risk with peer comparisons and related risk metrics.

Current Value At Risk Value

The Value At Risk of -2.07 for New World indicates the estimated maximum daily loss at the given confidence level. There is approximately a 5% probability that New World could lose more than -2.07 in a single day under normal market conditions.

Value At Risk

 = 

ER[a] x N

+

(Z-SCORE x STD x SQRT (N))

 = 
-2.07
ER[a] = Expected return on investing in New World
STD =   Standard Deviation of New World
N = Number of points for the period
Z-SCORE = Number of standard deviations above or below the mean

Value At Risk Peers Comparison

New World's Value At Risk of -2.0695 falls below the -1.93 peer average. Values range from -2.2532 (Smallcap World Fund) to 0.0 (), with tight clustering across the group. New World carries lower tail risk than the peer average at the given confidence level.

Value At Risk Relative To Other Indicators

The chart below plots Value At Risk against Maximum Drawdown for New World and its peers. Each point represents one equity — position along the horizontal axis shows Value At Risk while the vertical axis shows Maximum Drawdown. Equities that cluster in different quadrants carry distinct risk-return profiles. Use the dropdowns to swap in other indicators for either axis.
Compare New World to Peers

Methodology, Assumptions & Data Sources

The current Value At Risk for New World is -2.07. The Value At Risk for New World is produced by transforming raw price history into a standardized measure according to the indicator's defined methodology. Data sources include daily closing prices from supported exchanges, with standard corporate action adjustments applied. Indicator accuracy depends on data continuity across the calculation period. Gaps in trading history may affect the output.

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