Fidelity Balanced Fund Market Value
| FBALX Fund | USD 27.82 0.05 0.18% |
| Symbol | Fidelity |
Fidelity 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 Fidelity 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 Fidelity Balanced.
| 04/23/2023 |
| 04/17/2024 |
If you would invest 0.00 in Fidelity Balanced on April 23, 2023 and sell it all today you would earn a total of 0.00 from holding Fidelity Balanced Fund or generate 0.0% return on investment in Fidelity Balanced over 360 days. Fidelity Balanced is related to or competes with Fidelity Freedom, Fidelity Pennsylvania, Fidelity Freedom, Fidelity Freedom, Fidelity Salem, Fidelity Flex, and Aggressive Growth. The fund invests approximately 60 percent of assets in stocks and other equity securities and the remainder in bonds and... More
Fidelity 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 Fidelity 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 Fidelity Balanced Fund upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.5114 | |||
| Information Ratio | (0.01) | |||
| Maximum Drawdown | 2.55 | |||
| Value At Risk | (0.84) | |||
| Potential Upside | 0.8165 |
Fidelity Balanced Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Fidelity Balanced's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Fidelity Balanced's standard deviation. In reality, there are many statistical measures that can use Fidelity Balanced historical prices to predict the future Fidelity Balanced's volatility.| Risk Adjusted Performance | 0.063 | |||
| Jensen Alpha | 0.0085 | |||
| Total Risk Alpha | 0.0041 | |||
| Sortino Ratio | (0.01) | |||
| Treynor Ratio | 0.0595 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Fidelity 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.
Fidelity Balanced Backtested Returns
We consider Fidelity Balanced very steady. Fidelity Balanced secures Sharpe Ratio (or Efficiency) of 0.12, which denotes the fund had a 0.12% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Fidelity Balanced Fund, which you can use to evaluate the volatility of the entity. Please confirm Fidelity Balanced's Downside Deviation of 0.5114, mean deviation of 0.4149, and Coefficient Of Variation of 969.86 to check if the risk estimate we provide is consistent with the expected return of 0.0624%. The fund shows a Beta (market volatility) of 0.74, which means possible diversification benefits within a given portfolio. As returns on the market increase, Fidelity Balanced's returns are expected to increase less than the market. However, during the bear market, the loss of holding Fidelity Balanced is expected to be smaller as well.
Auto-correlation | 0.58 |
Modest predictability
Fidelity Balanced Fund has modest predictability. Overlapping area represents the amount of predictability between Fidelity Balanced time series from 23rd of April 2023 to 20th of October 2023 and 20th of October 2023 to 17th 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 Fidelity Balanced price movement. The serial correlation of 0.58 indicates that roughly 58.0% of current Fidelity Balanced price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.58 | |
| Spearman Rank Test | 0.41 | |
| Residual Average | 0.0 | |
| Price Variance | 1.87 |
Fidelity Balanced lagged returns against current returns
Autocorrelation, which is Fidelity 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 Fidelity Balanced's mutual fund expected returns. We can calculate the autocorrelation of Fidelity Balanced returns to help us make a trade decision. For example, suppose you find that Fidelity 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 |
Fidelity 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 Fidelity Balanced mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Fidelity 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 Fidelity Balanced mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Fidelity Balanced Lagged Returns
When evaluating Fidelity Balanced's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Fidelity Balanced mutual fund have on its future price. Fidelity 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, Fidelity Balanced autocorrelation shows the relationship between Fidelity Balanced mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Fidelity Balanced Fund.
Regressed Prices |
| Timeline |
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Fidelity 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.