Total Return Fund Market Value
| PTTCX Fund | USD 8.58 0.02 0.23% |
| Symbol | Total |
Total 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 Total 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 Total Return.
| 04/20/2025 |
| 07/19/2025 |
If you would invest 0.00 in Total Return on April 20, 2025 and sell it all today you would earn a total of 0.00 from holding Total Return Fund or generate 0.0% return on investment in Total Return over 90 days. Total Return is related to or competes with Pimco Rae, Pimco Rae, Pimco Rae, Pimco Rae, Pimco Foreign, Pimco Preferred, and Pimco Fundamental. The fund invests at least 65 percent of its total assets in a diversified portfolio of Fixed Income Instruments of varyi... More
Total 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 Total 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 Total Return Fund upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.437 | |||
| Information Ratio | (0.26) | |||
| Maximum Drawdown | 1.9 | |||
| Value At Risk | (0.58) | |||
| Potential Upside | 0.5938 |
Total Return Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Total Return's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Total Return's standard deviation. In reality, there are many statistical measures that can use Total Return historical prices to predict the future Total Return's volatility.| Risk Adjusted Performance | 0.0837 | |||
| Jensen Alpha | 0.0329 | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.23) | |||
| Treynor Ratio | (1.37) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Total 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.
Total Return Backtested Returns
At this stage we consider Total Mutual Fund to be very steady. Total Return owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0991, which indicates the fund had a 0.0991 % return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Total Return Fund, which you can use to evaluate the volatility of the fund. Please validate Total Return's Risk Adjusted Performance of 0.0837, coefficient of variation of 950.92, and Semi Deviation of 0.2807 to confirm if the risk estimate we provide is consistent with the expected return of 0.0348%. The entity has a beta of -0.0219, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Total Return are expected to decrease at a much lower rate. During the bear market, Total Return is likely to outperform the market.
Auto-correlation | -0.36 |
Poor reverse predictability
Total Return Fund has poor reverse predictability. Overlapping area represents the amount of predictability between Total Return time series from 20th of April 2025 to 4th of June 2025 and 4th of June 2025 to 19th of July 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Total Return price movement. The serial correlation of -0.36 indicates that just about 36.0% of current Total Return price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.36 | |
| Spearman Rank Test | -0.02 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Total Return lagged returns against current returns
Autocorrelation, which is Total 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 Total Return's mutual fund expected returns. We can calculate the autocorrelation of Total Return returns to help us make a trade decision. For example, suppose you find that Total 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 |
Total 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 Total Return mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Total 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 Total Return mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Total Return Lagged Returns
When evaluating Total Return's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Total Return mutual fund have on its future price. Total 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, Total Return autocorrelation shows the relationship between Total Return mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Total Return Fund.
Regressed Prices |
| Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Other Information on Investing in Total Mutual Fund
Total Return financial ratios help investors to determine whether Total Mutual Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Total with respect to the benefits of owning Total Return security.
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