Floating Rate Fund Market Value
| LFRIX Fund | USD 8.17 0.01 0.12% |
| Symbol | Floating |
Floating Rate '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 Floating Rate'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 Floating Rate.
| 03/20/2024 |
| 04/19/2024 |
If you would invest 0.00 in Floating Rate on March 20, 2024 and sell it all today you would earn a total of 0.00 from holding Floating Rate Fund or generate 0.0% return on investment in Floating Rate over 30 days. Floating Rate is related to or competes with Lord Abbett, Lord Abbett, Lord Abbett, Lord Abbett, and Lord Abbett. Under normal conditions, the fund pursues its investment objective by investing at least 80 percent of its net assets, p... More
Floating Rate 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 Floating Rate'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 Floating Rate Fund upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.20) | |||
| Maximum Drawdown | 0.8693 | |||
| Potential Upside | 0.1247 |
Floating Rate Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Floating Rate's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Floating Rate's standard deviation. In reality, there are many statistical measures that can use Floating Rate historical prices to predict the future Floating Rate's volatility.| Risk Adjusted Performance | 0.1211 | |||
| Jensen Alpha | 0.0263 | |||
| Total Risk Alpha | 0.0131 | |||
| Treynor Ratio | 1.15 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Floating Rate'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.
Floating Rate Backtested Returns
We consider Floating Rate very steady. Floating Rate secures Sharpe Ratio (or Efficiency) of 0.25, which denotes the fund had a 0.25% return per unit of risk over the last 3 months. We have found twenty technical indicators for Floating Rate Fund, which you can use to evaluate the volatility of the entity. Please confirm Floating Rate's Mean Deviation of 0.0762, standard deviation of 0.1539, and Variance of 0.0237 to check if the risk estimate we provide is consistent with the expected return of 0.0401%. The fund shows a Beta (market volatility) of 0.024, which means not very significant fluctuations relative to the market. As returns on the market increase, Floating Rate's returns are expected to increase less than the market. However, during the bear market, the loss of holding Floating Rate is expected to be smaller as well.
Auto-correlation | -0.65 |
Very good reverse predictability
Floating Rate Fund has very good reverse predictability. Overlapping area represents the amount of predictability between Floating Rate time series from 20th of March 2024 to 4th of April 2024 and 4th of April 2024 to 19th 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 Floating Rate price movement. The serial correlation of -0.65 indicates that roughly 65.0% of current Floating Rate price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.65 | |
| Spearman Rank Test | 0.11 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Floating Rate lagged returns against current returns
Autocorrelation, which is Floating Rate 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 Floating Rate's mutual fund expected returns. We can calculate the autocorrelation of Floating Rate returns to help us make a trade decision. For example, suppose you find that Floating Rate 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 |
Floating Rate 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 Floating Rate mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Floating Rate mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Floating Rate mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Floating Rate Lagged Returns
When evaluating Floating Rate's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Floating Rate mutual fund have on its future price. Floating Rate 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, Floating Rate autocorrelation shows the relationship between Floating Rate mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Floating Rate Fund.
Regressed Prices |
| Timeline |
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Floating Rate 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.