Sentinel Balanced Fund Market Value
| SIBLX Fund | USD 25.45 0.04 0.16% |
| Symbol | Sentinel |
Sentinel Balanced 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Sentinel Balanced's mutual fund what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Sentinel Balanced.
| 03/26/2024 |
| 04/25/2024 |
If you would invest 0.00 in Sentinel Balanced on March 26, 2024 and sell it all today you would earn a total of 0.00 from holding Sentinel Balanced Fund or generate 0.0% return on investment in Sentinel Balanced over 30 days. Sentinel Balanced is related to or competes with Fidelity Strategic, HUMANA, Morningstar Unconstrained, High Yield, Thrivent High, Via Renewables, and Bondbloxx ETF. The fund seeks to achieve its investment goal by investing primarily in a diversified portfolio of fixed-income and equi... More
Sentinel Balanced Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Sentinel Balanced's mutual fund current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Sentinel Balanced Fund upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.564 | |||
| Information Ratio | (0.12) | |||
| Maximum Drawdown | 2.59 | |||
| Value At Risk | (0.75) | |||
| Potential Upside | 0.7171 |
Sentinel Balanced Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Sentinel Balanced's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Sentinel Balanced's standard deviation. In reality, there are many statistical measures that can use Sentinel Balanced historical prices to predict the future Sentinel Balanced's volatility.| Risk Adjusted Performance | 0.04 | |||
| Jensen Alpha | (0.03) | |||
| Total Risk Alpha | (0.04) | |||
| Sortino Ratio | (0.11) | |||
| Treynor Ratio | 0.0382 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Sentinel Balanced's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Sentinel Balanced Backtested Returns
We consider Sentinel Balanced very steady. Sentinel Balanced owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0371, which indicates the fund had a 0.0371% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Sentinel Balanced Fund, which you can use to evaluate the volatility of the fund. Please validate Sentinel Balanced's Coefficient Of Variation of 1472.41, semi deviation of 0.5018, and Risk Adjusted Performance of 0.04 to confirm if the risk estimate we provide is consistent with the expected return of 0.0192%. The entity has a beta of 0.64, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, Sentinel Balanced's returns are expected to increase less than the market. However, during the bear market, the loss of holding Sentinel Balanced is expected to be smaller as well.
Auto-correlation | 0.57 |
Modest predictability
Sentinel Balanced Fund has modest predictability. Overlapping area represents the amount of predictability between Sentinel Balanced time series from 26th of March 2024 to 10th of April 2024 and 10th of April 2024 to 25th of April 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Sentinel Balanced price movement. The serial correlation of 0.57 indicates that roughly 57.0% of current Sentinel Balanced price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.57 | |
| Spearman Rank Test | 0.59 | |
| Residual Average | 0.0 | |
| Price Variance | 0.04 |
Sentinel Balanced lagged returns against current returns
Autocorrelation, which is Sentinel Balanced mutual fund's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Sentinel Balanced's mutual fund expected returns. We can calculate the autocorrelation of Sentinel Balanced returns to help us make a trade decision. For example, suppose you find that Sentinel Balanced has exhibited high autocorrelation historically, and you observe that the mutual fund is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Sentinel Balanced regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Sentinel Balanced mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Sentinel Balanced mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Sentinel Balanced mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Sentinel Balanced Lagged Returns
When evaluating Sentinel Balanced's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Sentinel Balanced mutual fund have on its future price. Sentinel Balanced autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Sentinel Balanced autocorrelation shows the relationship between Sentinel Balanced mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Sentinel Balanced Fund.
Regressed Prices |
| Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Sentinel Balanced in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Sentinel Balanced's short interest history, or implied volatility extrapolated from Sentinel Balanced options trading.
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Sentinel Balanced technical mutual fund analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, fund market cycles, or different charting patterns.