Balanced Fund Institutional Fund Market Value
| BLNIX Fund | USD 14.38 0.01 0.07% |
| 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.
| 09/03/2024 |
| 10/03/2024 |
If you would invest 0.00 in Balanced Fund on September 3, 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 30 days. Balanced Fund is related to or competes with Muirfield Fund, Dynamic Growth, Infrastructure Fund, Quantex Fund, and Spectrum Fund. The fund invests primarily in common and preferred stocks, as well as fixed income securities 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 | 0.8951 | |||
| Information Ratio | (0.08) | |||
| Maximum Drawdown | 3.34 | |||
| Value At Risk | (1.22) | |||
| Potential Upside | 1.17 |
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 | 0.0656 | |||
| Jensen Alpha | (0.03) | |||
| Total Risk Alpha | (0.05) | |||
| Sortino Ratio | (0.06) | |||
| Treynor Ratio | 0.0635 |
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
At this stage we consider Balanced Mutual Fund to be very steady. Balanced Fund Instit secures Sharpe Ratio (or Efficiency) of 0.0605, which signifies that the fund had a 0.0605% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Balanced Fund Institutional, which you can use to evaluate the volatility of the entity. Please confirm Balanced Fund's Downside Deviation of 0.8951, risk adjusted performance of 0.0656, and Mean Deviation of 0.542 to double-check if the risk estimate we provide is consistent with the expected return of 0.0453%. The fund shows a Beta (market volatility) of 0.8, 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 | -0.06 |
Very weak reverse predictability
Balanced Fund Institutional has very weak reverse predictability. Overlapping area represents the amount of predictability between Balanced Fund time series from 3rd of September 2024 to 18th of September 2024 and 18th of September 2024 to 3rd of October 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 -0.06 indicates that barely 6.0% of current Balanced Fund price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.06 | |
| Spearman Rank Test | 0.31 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
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 |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Other Information on Investing in Balanced Mutual Fund
Balanced Fund financial ratios help investors to determine whether Balanced Mutual Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Balanced with respect to the benefits of owning Balanced Fund security.
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