BuzzFeed Value At Risk
| BZFD Stock | | | USD 0.74 0.03 4.23% |
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 BuzzFeed's current Value At Risk with peer comparisons and related risk metrics.
Current Value At Risk Value
At
-6.35, BuzzFeed's Value At Risk indicates the estimated maximum daily loss at the given confidence level. This indicates substantial tail risk — there is approximately a 5% probability that BuzzFeed could lose more than
-6.35 in a single day.
Value At Risk | = | ER[a] x N | + | (Z-SCORE x STD x SQRT (N)) |
| = | -6.35 | |
| ER[a] | = | Expected return on investing in BuzzFeed |
| STD | = | Standard Deviation of BuzzFeed |
| N | = | Number of points for the period |
| Z-SCORE | = | Number of standard deviations above or below the mean |
Value At Risk Peers Comparison
BuzzFeed falls below the -5.9 peer average for Value At Risk. leads at 0.0 while Jinxin Technology Holding registers the lowest at -11.6883. BuzzFeed 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 BuzzFeed 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 BuzzFeed to PeersMethodology, Assumptions & Data Sources
BuzzFeed's Value At Risk currently stands at -6.35. The Value At Risk for BuzzFeed applies a standardized calculation to daily closing prices and, where applicable, volume data across the selected period. Inputs are drawn from end-of-day closing prices reported by supported exchanges, adjusted for splits and dividends where applicable. BuzzFeed operates in the communication services sector, which may exhibit distinct volatility and momentum characteristics relative to the broader market. Indicator accuracy depends on data continuity across the calculation period. Gaps in trading history may affect the output.
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