Balanced Fund Institutional Fund Market Value
| FOBAX Fund | USD 18.75 0.08 0.42% |
| Symbol | Balanced |
Balanced Fund '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 Fund'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 Fund.
| 02/20/2024 |
| 04/20/2024 |
If you would invest 0.00 in Balanced Fund on February 20, 2024 and sell it all today you would earn a total of 0.00 from holding Balanced Fund Institutional or generate 0.0% return on investment in Balanced Fund over 60 days. Balanced Fund is related to or competes with Villere Balanced, James Balanced, Value Line, and Short-intermediate. The investment seeks capital appreciation and current income More
Balanced Fund 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 Fund'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 Fund Institutional upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.4777 | |||
| Information Ratio | (0.13) | |||
| Maximum Drawdown | 2.21 | |||
| Value At Risk | (0.85) | |||
| Potential Upside | 0.7307 |
Balanced Fund Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Balanced Fund's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Balanced Fund's standard deviation. In reality, there are many statistical measures that can use Balanced Fund historical prices to predict the future Balanced Fund's volatility.| Risk Adjusted Performance | 0.0246 | |||
| Jensen Alpha | (0.04) | |||
| Total Risk Alpha | (0.05) | |||
| Sortino Ratio | (0.13) | |||
| Treynor Ratio | 0.0178 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Balanced Fund'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 Fund Instit Backtested Returns
We consider Balanced Fund very steady. Balanced Fund Instit secures Sharpe Ratio (or Efficiency) of 0.0443, which signifies that the fund had a 0.0443% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Balanced Fund Institutional, which you can use to evaluate the volatility of the entity. Please confirm Balanced Fund's Risk Adjusted Performance of 0.0246, downside deviation of 0.4777, and Mean Deviation of 0.3791 to double-check if the risk estimate we provide is consistent with the expected return of 0.0216%. The fund shows a Beta (market volatility) of 0.65, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, Balanced Fund's returns are expected to increase less than the market. However, during the bear market, the loss of holding Balanced Fund is expected to be smaller as well.
Auto-correlation | -0.75 |
Almost perfect reverse predictability
Balanced Fund Institutional has almost perfect reverse predictability. Overlapping area represents the amount of predictability between Balanced Fund time series from 20th of February 2024 to 21st of March 2024 and 21st of March 2024 to 20th 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 Fund Instit price movement. The serial correlation of -0.75 indicates that around 75.0% of current Balanced Fund price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.75 | |
| Spearman Rank Test | -0.83 | |
| Residual Average | 0.0 | |
| Price Variance | 0.06 |
Balanced Fund Instit lagged returns against current returns
Autocorrelation, which is Balanced Fund 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 Fund's mutual fund expected returns. We can calculate the autocorrelation of Balanced Fund returns to help us make a trade decision. For example, suppose you find that Balanced Fund 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 Fund 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 Fund mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Balanced Fund 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 Fund mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Balanced Fund Lagged Returns
When evaluating Balanced Fund's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Balanced Fund mutual fund have on its future price. Balanced Fund 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 Fund autocorrelation shows the relationship between Balanced Fund mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Balanced Fund Institutional.
Regressed Prices |
| Timeline |
Building efficient market-beating portfolios requires time, education, and a lot of computing power!
The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.
Try AI Portfolio ArchitectCheck out Balanced Fund Correlation, Balanced Fund Volatility and Balanced Fund Alpha and Beta module to complement your research on Balanced Fund. Note that the Balanced Fund Instit information on this page should be used as a complementary analysis to other Balanced Fund's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.
Balanced Fund 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.