Balanced Strategy Fund Market Value
RBLVX Fund | USD 10.10 0.02 0.20% |
Symbol | Balanced |
Balanced Strategy '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 Balanced Strategy'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 Balanced Strategy.
03/25/2024 |
| 04/24/2024 |
If you would invest 0.00 in Balanced Strategy on March 25, 2024 and sell it all today you would earn a total of 0.00 from holding Balanced Strategy Fund or generate 0.0% return on investment in Balanced Strategy over 30 days. Balanced Strategy is related to or competes with Fidelity Strategic, HUMANA, Morningstar Unconstrained, High Yield, Thrivent High, Via Renewables, and Bondbloxx ETF. The fund is a fund of funds, which seeks to achieve its objective by investing in a combination of several other Russell... More
Balanced Strategy 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 Balanced Strategy'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 Balanced Strategy Fund upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 0.5147 | |||
Information Ratio | (0.12) | |||
Maximum Drawdown | 2.06 | |||
Value At Risk | (0.88) | |||
Potential Upside | 0.7007 |
Balanced Strategy Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Balanced Strategy's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Balanced Strategy's standard deviation. In reality, there are many statistical measures that can use Balanced Strategy historical prices to predict the future Balanced Strategy's volatility.Risk Adjusted Performance | 0.0505 | |||
Jensen Alpha | (0.03) | |||
Total Risk Alpha | (0.03) | |||
Sortino Ratio | (0.11) | |||
Treynor Ratio | 0.0436 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Balanced Strategy'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.
Balanced Strategy Backtested Returns
We consider Balanced Strategy very steady. Balanced Strategy secures Sharpe Ratio (or Efficiency) of 0.0621, which signifies that the fund had a 0.0621% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Balanced Strategy Fund, which you can use to evaluate the volatility of the entity. Please confirm Balanced Strategy's Mean Deviation of 0.3652, downside deviation of 0.5147, and Risk Adjusted Performance of 0.0505 to double-check if the risk estimate we provide is consistent with the expected return of 0.0296%. The fund shows a Beta (market volatility) of 0.7, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, Balanced Strategy's returns are expected to increase less than the market. However, during the bear market, the loss of holding Balanced Strategy is expected to be smaller as well.
Auto-correlation | 0.35 |
Below average predictability
Balanced Strategy Fund has below average predictability. Overlapping area represents the amount of predictability between Balanced Strategy time series from 25th of March 2024 to 9th of April 2024 and 9th of April 2024 to 24th 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 Balanced Strategy price movement. The serial correlation of 0.35 indicates that nearly 35.0% of current Balanced Strategy price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.35 | |
Spearman Rank Test | 0.07 | |
Residual Average | 0.0 | |
Price Variance | 0.01 |
Balanced Strategy lagged returns against current returns
Autocorrelation, which is Balanced Strategy 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 Balanced Strategy's mutual fund expected returns. We can calculate the autocorrelation of Balanced Strategy returns to help us make a trade decision. For example, suppose you find that Balanced Strategy 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 |
Balanced Strategy 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 Balanced Strategy mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Balanced Strategy mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Balanced Strategy mutual fund over time.
Current vs Lagged Prices |
Timeline |
Balanced Strategy Lagged Returns
When evaluating Balanced Strategy's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Balanced Strategy mutual fund have on its future price. Balanced Strategy 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, Balanced Strategy autocorrelation shows the relationship between Balanced Strategy mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Balanced Strategy Fund.
Regressed Prices |
Timeline |
Currently Active Assets on Macroaxis
Check out Balanced Strategy Correlation, Balanced Strategy Volatility and Balanced Strategy Alpha and Beta module to complement your research on Balanced Strategy. You can also try the Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
Balanced Strategy 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.