Bond Fund Of Fund Market Value
| RBFGX Fund | USD 11.02 0.02 0.18% |
| Symbol | Bond |
Bond 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 Bond 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 Bond Fund.
| 05/05/2022 |
| 04/24/2024 |
If you would invest 0.00 in Bond Fund on May 5, 2022 and sell it all today you would earn a total of 0.00 from holding Bond Fund Of or generate 0.0% return on investment in Bond Fund over 720 days. Bond Fund is related to or competes with Vanguard Total, Vanguard Total, Vanguard Total, Vanguard Total, Bond Fund, Bond Fund, and American Funds. The fund invests at least 80 percent of its assets in bonds and other debt securities, which may be represented by deriv... More
Bond 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 Bond 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 Bond Fund Of upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.29) | |||
| Maximum Drawdown | 2.23 | |||
| Value At Risk | (0.80) | |||
| Potential Upside | 0.4558 |
Bond Fund Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Bond Fund's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Bond Fund's standard deviation. In reality, there are many statistical measures that can use Bond Fund historical prices to predict the future Bond Fund's volatility.| Risk Adjusted Performance | (0.04) | |||
| Jensen Alpha | (0.05) | |||
| Total Risk Alpha | (0.09) | |||
| Treynor Ratio | (0.13) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Bond 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.
Bond Fund Backtested Returns
Bond Fund secures Sharpe Ratio (or Efficiency) of -0.0629, which signifies that the fund had a -0.0629% return per unit of risk over the last 3 months. Bond Fund Of exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Bond Fund's Mean Deviation of 0.3167, standard deviation of 0.4121, and Risk Adjusted Performance of (0.04) to double-check the risk estimate we provide. The fund shows a Beta (market volatility) of 0.25, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Bond Fund's returns are expected to increase less than the market. However, during the bear market, the loss of holding Bond Fund is expected to be smaller as well.
Auto-correlation | 0.57 |
Modest predictability
Bond Fund Of has modest predictability. Overlapping area represents the amount of predictability between Bond Fund time series from 5th of May 2022 to 30th of April 2023 and 30th of April 2023 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 Bond Fund price movement. The serial correlation of 0.57 indicates that roughly 57.0% of current Bond Fund price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.57 | |
| Spearman Rank Test | -0.13 | |
| Residual Average | 0.0 | |
| Price Variance | 0.06 |
Bond Fund lagged returns against current returns
Autocorrelation, which is Bond 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 Bond Fund's mutual fund expected returns. We can calculate the autocorrelation of Bond Fund returns to help us make a trade decision. For example, suppose you find that Bond 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 |
Bond 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 Bond Fund mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Bond 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 Bond Fund mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Bond Fund Lagged Returns
When evaluating Bond Fund's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Bond Fund mutual fund have on its future price. Bond 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, Bond Fund autocorrelation shows the relationship between Bond Fund mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Bond Fund Of.
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 Bond 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, Bond Fund's short interest history, or implied volatility extrapolated from Bond Fund options trading.
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Check out Bond Fund Correlation, Bond Fund Volatility and Bond Fund Alpha and Beta module to complement your research on Bond Fund. Note that the Bond Fund information on this page should be used as a complementary analysis to other Bond 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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
Bond 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.