Real Return Fund Market Value
| PRRIX Fund | USD 9.82 0.03 0.30% |
| Symbol | Real |
Real Return '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 Real Return'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 Real Return.
| 01/26/2024 |
| 04/25/2024 |
If you would invest 0.00 in Real Return on January 26, 2024 and sell it all today you would earn a total of 0.00 from holding Real Return Fund or generate 0.0% return on investment in Real Return over 90 days. Real Return is related to or competes with Vanguard Inflation, and American Funds. The fund normally invests at least 80 percent of its net assets in inflation-indexed bonds of varying maturities issued ... More
Real Return 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 Real Return'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 Real Return Fund upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.35) | |||
| Maximum Drawdown | 1.49 | |||
| Value At Risk | (0.70) | |||
| Potential Upside | 0.4061 |
Real Return Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Real Return's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Real Return's standard deviation. In reality, there are many statistical measures that can use Real Return historical prices to predict the future Real Return's volatility.| Risk Adjusted Performance | (0.05) | |||
| Jensen Alpha | (0.05) | |||
| Total Risk Alpha | (0.07) | |||
| Treynor Ratio | (0.15) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Real Return'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.
Real Return Fund Backtested Returns
Real Return Fund maintains Sharpe Ratio (i.e., Efficiency) of -0.0613, which implies the entity had a -0.0613% return per unit of risk over the last 3 months. Real Return Fund exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Real Return's Variance of 0.1084, risk adjusted performance of (0.05), and Coefficient Of Variation of (1,703) to confirm the risk estimate we provide. The fund holds a Beta of 0.19, which implies not very significant fluctuations relative to the market. As returns on the market increase, Real Return's returns are expected to increase less than the market. However, during the bear market, the loss of holding Real Return is expected to be smaller as well.
Auto-correlation | -0.59 |
Good reverse predictability
Real Return Fund has good reverse predictability. Overlapping area represents the amount of predictability between Real Return time series from 26th of January 2024 to 11th of March 2024 and 11th of March 2024 to 25th 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 Real Return Fund price movement. The serial correlation of -0.59 indicates that roughly 59.0% of current Real Return price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.59 | |
| Spearman Rank Test | 0.14 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Real Return Fund lagged returns against current returns
Autocorrelation, which is Real Return 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 Real Return's mutual fund expected returns. We can calculate the autocorrelation of Real Return returns to help us make a trade decision. For example, suppose you find that Real Return 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 |
Real Return 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 Real Return mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Real Return mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Real Return mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Real Return Lagged Returns
When evaluating Real Return's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Real Return mutual fund have on its future price. Real Return 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, Real Return autocorrelation shows the relationship between Real Return mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Real Return Fund.
Regressed Prices |
| Timeline |
Becoming a Better Investor with Macroaxis
Macroaxis puts the power of mathematics on your side. We analyze your portfolios and positions such as Real Return Fund using complex mathematical models and algorithms, but make them easy to understand. There is no real person involved in your portfolio analysis. We perform a number of calculations to compute absolute and relative portfolio volatility, correlation between your assets, value at risk, expected return as well as over 100 different fundamental and technical indicators.Build Optimal Portfolios
Align your risk with return expectations
Check out Real Return Correlation, Real Return Volatility and Real Return Alpha and Beta module to complement your research on Real Return. You can also try the Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
Real Return 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.