|SATRX -- USA Fund|| |
USD 10.41 0.02 0.19%
The entity has beta of 0.0 which indicates the returns on MARKET and Sentinel Total are completely uncorrelated. Although it is extremely important to respect Sentinel Total Return
current price movements, it is better to be realistic regarding the information on equity historical returns. The philosophy towards measuring future performance of any fund is to evaluate the business as a whole together with its past performance including all available fundamental and technical indicators
. By inspecting Sentinel Total Return technical indicators
you can presently evaluate if the expected return of 0.0% will be sustainable into the future.
Sentinel Total Return Relative Risk vs. Return Landscape
If you would invest 1,041
in Sentinel Total Return Bond A on August 23, 2018
and sell it today you would earn a total of 0.00
from holding Sentinel Total Return Bond A or generate 0.0%
return on investment over 30
days. Sentinel Total Return Bond A is currently producing negative expected returns and takes up 0.0% volatility of returns over 30 trading days. Put another way, 0% of traded equities are less volatile than the company and 99% of traded equity instruments are likely to generate higher returns over the next 30 trading days.
Daily Expected Return (%)
Sentinel Total Current Valuation
September 22, 2018
Sentinel Total Market Risk Analysis
Sharpe Ratio = 0.0
Based on monthly moving average Sentinel Total is performing at about 0% of its full potential. If added to a well diversified portfolio the total return can be enhanced and market risk can be reduced. You can increase risk-adjusted return of Sentinel Total
by adding it to a well-diversified
Risk-Adjusted Fund Performance
Over the last 30 days Sentinel Total Return Bond A has generated negative risk-adjusted returns adding no value to fund investors.
|The fund maintains about 96.97% of its assets in bonds|
Also please take a look at World Market Map
. Please also try Portfolio Volatility
module to check portfolio volatility and analyze historical return density to properly model market risk.