Pimco Emerging Markets Fund Market Value
| PFSIX Fund | USD 6.71 0.01 0.15% |
| Symbol | Pimco |
Pimco Emerging '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 Pimco Emerging'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 Pimco Emerging.
| 11/05/2025 |
| 02/03/2026 |
If you would invest 0.00 in Pimco Emerging on November 5, 2025 and sell it all today you would earn a total of 0.00 from holding Pimco Emerging Markets or generate 0.0% return on investment in Pimco Emerging over 90 days. Pimco Emerging is related to or competes with American Century, Multi-manager High, Prudential High, Blackrock High, Access Flex, Siit High, and Msift High. The fund invests under normal circumstances at least 80 percent of its assets in investments economically tied to emerging market countries and 80 percent of its assets in Fixed Income Instruments, which may be represented by direct or indirect investments. More
Pimco Emerging 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 Pimco Emerging'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 Pimco Emerging Markets upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.3555 | |||
| Information Ratio | 0.0317 | |||
| Maximum Drawdown | 1.96 | |||
| Value At Risk | (0.31) | |||
| Potential Upside | 0.4688 |
Pimco Emerging Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Pimco Emerging's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Pimco Emerging's standard deviation. In reality, there are many statistical measures that can use Pimco Emerging historical prices to predict the future Pimco Emerging's volatility.| Risk Adjusted Performance | 0.1478 | |||
| Jensen Alpha | 0.0495 | |||
| Total Risk Alpha | 0.0368 | |||
| Sortino Ratio | 0.0261 | |||
| Treynor Ratio | 0.4589 |
Pimco Emerging February 3, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.1478 | |||
| Market Risk Adjusted Performance | 0.4689 | |||
| Mean Deviation | 0.214 | |||
| Downside Deviation | 0.3555 | |||
| Coefficient Of Variation | 450.02 | |||
| Standard Deviation | 0.2926 | |||
| Variance | 0.0856 | |||
| Information Ratio | 0.0317 | |||
| Jensen Alpha | 0.0495 | |||
| Total Risk Alpha | 0.0368 | |||
| Sortino Ratio | 0.0261 | |||
| Treynor Ratio | 0.4589 | |||
| Maximum Drawdown | 1.96 | |||
| Value At Risk | (0.31) | |||
| Potential Upside | 0.4688 | |||
| Downside Variance | 0.1264 | |||
| Semi Variance | (0.01) | |||
| Expected Short fall | (0.30) | |||
| Skewness | 0.1715 | |||
| Kurtosis | 2.43 |
Pimco Emerging Markets Backtested Returns
At this stage we consider Pimco Mutual Fund to be out of control. Pimco Emerging Markets maintains Sharpe Ratio (i.e., Efficiency) of 0.25, which implies the entity had a 0.25 % return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Pimco Emerging Markets, which you can use to evaluate the volatility of the fund. Please check Pimco Emerging's Standard Deviation of 0.2926, risk adjusted performance of 0.1478, and Downside Deviation of 0.3555 to confirm if the risk estimate we provide is consistent with the expected return of 0.0741%. The fund holds a Beta of 0.12, which implies not very significant fluctuations relative to the market. As returns on the market increase, Pimco Emerging's returns are expected to increase less than the market. However, during the bear market, the loss of holding Pimco Emerging is expected to be smaller as well.
Auto-correlation | 0.47 |
Average predictability
Pimco Emerging Markets has average predictability. Overlapping area represents the amount of predictability between Pimco Emerging time series from 5th of November 2025 to 20th of December 2025 and 20th of December 2025 to 3rd of February 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Pimco Emerging Markets price movement. The serial correlation of 0.47 indicates that about 47.0% of current Pimco Emerging price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.47 | |
| Spearman Rank Test | 0.67 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
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 Pimco Mutual Fund
Pimco Emerging financial ratios help investors to determine whether Pimco 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 Pimco with respect to the benefits of owning Pimco Emerging security.
| Latest Portfolios Quick portfolio dashboard that showcases your latest portfolios | |
| Money Managers Screen money managers from public funds and ETFs managed around the world | |
| Sign In To Macroaxis Sign in to explore Macroaxis' wealth optimization platform and fintech modules | |
| Performance Analysis Check effects of mean-variance optimization against your current asset allocation |