Income Fund Of Fund Market Value
| RIDBX Fund | USD 23.00 0.03 0.13% |
| Symbol | Income |
Income 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 Income 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 Income Fund.
| 03/19/2024 |
| 04/18/2024 |
If you would invest 0.00 in Income Fund on March 19, 2024 and sell it all today you would earn a total of 0.00 from holding Income Fund Of or generate 0.0% return on investment in Income Fund over 30 days. Income Fund is related to or competes with Franklin Natural, and Hennessy. Normally the fund invests primarily in income-producing securities More
Income 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 Income 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 Income Fund Of upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.5866 | |||
| Information Ratio | (0.1) | |||
| Maximum Drawdown | 2.17 | |||
| Value At Risk | (0.79) | |||
| Potential Upside | 0.7005 |
Income Fund Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Income Fund's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Income Fund's standard deviation. In reality, there are many statistical measures that can use Income Fund historical prices to predict the future Income Fund's volatility.| Risk Adjusted Performance | 0.0079 | |||
| Jensen Alpha | (0.03) | |||
| Total Risk Alpha | (0.04) | |||
| Sortino Ratio | (0.08) | |||
| Treynor Ratio | (0) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Income 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.
Income Fund Backtested Returns
We consider Income Fund very steady. Income Fund holds Efficiency (Sharpe) Ratio of 0.0424, which attests that the entity had a 0.0424% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Income Fund, which you can use to evaluate the volatility of the entity. Please check out Income Fund's Market Risk Adjusted Performance of 0.0077, risk adjusted performance of 0.0079, and Downside Deviation of 0.5866 to validate if the risk estimate we provide is consistent with the expected return of 0.0198%. The fund retains a Market Volatility (i.e., Beta) of 0.7, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, Income Fund's returns are expected to increase less than the market. However, during the bear market, the loss of holding Income Fund is expected to be smaller as well.
Auto-correlation | -0.46 |
Modest reverse predictability
Income Fund Of has modest reverse predictability. Overlapping area represents the amount of predictability between Income Fund time series from 19th of March 2024 to 3rd of April 2024 and 3rd of April 2024 to 18th 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 Income Fund price movement. The serial correlation of -0.46 indicates that about 46.0% of current Income Fund price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.46 | |
| Spearman Rank Test | -0.55 | |
| Residual Average | 0.0 | |
| Price Variance | 0.08 |
Income Fund lagged returns against current returns
Autocorrelation, which is Income 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 Income Fund's mutual fund expected returns. We can calculate the autocorrelation of Income Fund returns to help us make a trade decision. For example, suppose you find that Income 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 |
Income 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 Income Fund mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Income 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 Income Fund mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Income Fund Lagged Returns
When evaluating Income Fund's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Income Fund mutual fund have on its future price. Income 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, Income Fund autocorrelation shows the relationship between Income Fund mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Income Fund Of.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Check out Income Fund Correlation, Income Fund Volatility and Income Fund Alpha and Beta module to complement your research on Income Fund. Note that the Income Fund information on this page should be used as a complementary analysis to other Income 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 Portfolio Comparator module to compare the composition, asset allocations and performance of any two portfolios in your account.
Income 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.