Balanced Fund Balanced Fund Market Value
| WBALX Fund | USD 16.93 0.02 0.12% |
| 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.
| 03/25/2024 |
| 04/24/2024 |
If you would invest 0.00 in Balanced Fund on March 25, 2024 and sell it all today you would earn a total of 0.00 from holding Balanced Fund Balanced or generate 0.0% return on investment in Balanced Fund over 30 days. Balanced Fund is related to or competes with Vanguard Wellesley, Blackrock Multi, and The Hartford. The fund invests primarily in a portfolio of equity and debt 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 Balanced upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.3746 | |||
| Information Ratio | (0.20) | |||
| Maximum Drawdown | 1.55 | |||
| Value At Risk | (0.59) | |||
| Potential Upside | 0.5392 |
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 | 0.0445 | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.03) | |||
| Sortino Ratio | (0.18) | |||
| Treynor Ratio | 0.038 |
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 Balanced Backtested Returns
We consider Balanced Fund very steady. Balanced Fund Balanced secures Sharpe Ratio (or Efficiency) of 0.0687, which signifies that the fund had a 0.0687% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Balanced Fund Balanced, which you can use to evaluate the volatility of the entity. Please confirm Balanced Fund's Risk Adjusted Performance of 0.0445, downside deviation of 0.3746, and Mean Deviation of 0.2631 to double-check if the risk estimate we provide is consistent with the expected return of 0.0232%. The fund shows a Beta (market volatility) of 0.49, 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 | 0.45 |
Average predictability
Balanced Fund Balanced has average predictability. Overlapping area represents the amount of predictability between Balanced Fund 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 Fund Balanced price movement. The serial correlation of 0.45 indicates that just about 45.0% of current Balanced Fund price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.45 | |
| Spearman Rank Test | 0.35 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
Balanced Fund Balanced 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 Balanced.
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 Balanced Fund 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, Balanced Fund's short interest history, or implied volatility extrapolated from Balanced Fund options trading.
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.Check out Balanced Fund Correlation, Balanced Fund Volatility and Balanced Fund Alpha and Beta module to complement your research on Balanced Fund. You can also try the Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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.