Pimco Monthly Enhanced Fund Market Value
| PMEI-UN Fund | 9.30 0.10 1.09% |
| Symbol | PIMCO |
PIMCO Monthly '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 Monthly's 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 Monthly.
| 01/03/2025 |
| 02/02/2025 |
If you would invest 0.00 in PIMCO Monthly on January 3, 2025 and sell it all today you would earn a total of 0.00 from holding PIMCO Monthly Enhanced or generate 0.0% return on investment in PIMCO Monthly over 30 days.
PIMCO Monthly 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 Monthly's 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 Monthly Enhanced upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.08) | |||
| Maximum Drawdown | 4.6 | |||
| Value At Risk | (1.78) | |||
| Potential Upside | 1.09 |
PIMCO Monthly Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for PIMCO Monthly's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as PIMCO Monthly's standard deviation. In reality, there are many statistical measures that can use PIMCO Monthly historical prices to predict the future PIMCO Monthly's volatility.| Risk Adjusted Performance | (0.01) | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.12) | |||
| Treynor Ratio | 0.5275 |
PIMCO Monthly Enhanced Backtested Returns
As of now, PIMCO Fund is not too volatile. PIMCO Monthly Enhanced maintains Sharpe Ratio (i.e., Efficiency) of 0.0122, which implies the entity had a 0.0122 % return per unit of volatility over the last 3 months. We have found twenty-three technical indicators for PIMCO Monthly Enhanced, which you can use to evaluate the volatility of the fund. Please check PIMCO Monthly's coefficient of variation of (8,830), and Risk Adjusted Performance of (0.01) to confirm if the risk estimate we provide is consistent with the expected return of 0.0145%. The fund holds a Beta of -0.0448, which implies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning PIMCO Monthly are expected to decrease at a much lower rate. During the bear market, PIMCO Monthly is likely to outperform the market.
Auto-correlation | 0.67 |
Good predictability
PIMCO Monthly Enhanced has good predictability. Overlapping area represents the amount of predictability between PIMCO Monthly time series from 3rd of January 2025 to 18th of January 2025 and 18th of January 2025 to 2nd of February 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 PIMCO Monthly Enhanced price movement. The serial correlation of 0.67 indicates that around 67.0% of current PIMCO Monthly price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.67 | |
| Spearman Rank Test | 0.39 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
PIMCO Monthly Enhanced lagged returns against current returns
Autocorrelation, which is PIMCO Monthly 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 PIMCO Monthly's fund expected returns. We can calculate the autocorrelation of PIMCO Monthly returns to help us make a trade decision. For example, suppose you find that PIMCO Monthly has exhibited high autocorrelation historically, and you observe that the 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 |
PIMCO Monthly 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 PIMCO Monthly fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if PIMCO Monthly fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in PIMCO Monthly fund over time.
Current vs Lagged Prices |
| Timeline |
PIMCO Monthly Lagged Returns
When evaluating PIMCO Monthly's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of PIMCO Monthly fund have on its future price. PIMCO Monthly 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, PIMCO Monthly autocorrelation shows the relationship between PIMCO Monthly fund current value and its past values and can show if there is a momentum factor associated with investing in PIMCO Monthly Enhanced.
Regressed Prices |
| Timeline |
Pair Trading with PIMCO Monthly
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if PIMCO Monthly position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in PIMCO Monthly will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to PIMCO Monthly could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace PIMCO Monthly when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back PIMCO Monthly - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling PIMCO Monthly Enhanced to buy it.
The correlation of PIMCO Monthly is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as PIMCO Monthly moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if PIMCO Monthly Enhanced moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for PIMCO Monthly can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.| Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum | |
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