Virtus LifeSci Valuation

Virtus LifeSci Biotech Products ETF -- USA Etf  

USD 39.72  0.0004  0.001%

Virtus LifeSci Biotech has current Real Value of $40.25 per share. The regular price of the etf is $39.72. At this time the etf appears to be fairly valued. Macroaxis measures value of Virtus LifeSci Biotech from inspecting the etf fundamentals such as Number of Employees of 12, Net Asset of 34.69M and Price to Earning of 18.03times as well as reviewing its technical indicators and Probability Of Bankruptcy. In general, we recommend to buy undervalued stocks and to dispose of overvalued stocks since at some point securities prices and their ongoing real values will draw towards each other.
 Time Horizon     30 Days    Login   to change
Virtus LifeSci Biotech Products ETF is rated below average in three year return as compared to similar ETFs. It is the top ETF in price to sales as compared to similar ETFs fabricating about  0.53  of Price to Sales per Three Year Return. The ratio of Three Year Return to Price to Sales for Virtus LifeSci Biotech Products ETF is roughly  1.88 

Current Market Valuation

Virtus LifeSci Biotech Valuation Boundaries
Fairly Valued
April 26, 2018
39.72
Market Value
40.25
Real Value
Target Price Odds
 Above  Below  
44.72
Upside
Virtus LifeSci is not too risky asset. Calculation of real value of Virtus LifeSci Biotech is based on 2 months time horizon. Increasing Virtus LifeSci Biotech time horizon generally increases accuracy of value calculation and significantly improves predictive power of the methodology used.

Net Asset

Virtus LifeSci Net Asset Analysis
Virtus LifeSci Biotech Products ETF is rated below average in net asset as compared to similar ETFs. Total Asset Under Management (AUM) of Sector category is currently estimated at about 157.33 Billion. Virtus LifeSci adds roughly 34.69 Million in net asset claiming only tiny portion of equities under Sector ETF category.
Check also Trending Equities. Please also try Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.