Pimco Income Fund Market Value
PIINX Fund | USD 10.36 0.05 0.48% |
Symbol | Pimco |
Pimco Income '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 Income'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 Income.
05/12/2022 |
| 05/01/2024 |
If you would invest 0.00 in Pimco Income on May 12, 2022 and sell it all today you would earn a total of 0.00 from holding Pimco Income Fund or generate 0.0% return on investment in Pimco Income over 720 days. Pimco Income is related to or competes with Blackrock Conservative, Diversified Bond, Wilmington Diversified, Guggenheim Diversified, and Elfun Diversified. The investment seeks to maximize current income long-term capital appreciation is a secondary objective More
Pimco Income 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 Income'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 Income Fund upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | (0.28) | |||
Maximum Drawdown | 1.71 | |||
Value At Risk | (0.57) | |||
Potential Upside | 0.3861 |
Pimco Income Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Pimco Income's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Pimco Income's standard deviation. In reality, there are many statistical measures that can use Pimco Income historical prices to predict the future Pimco Income's volatility.Risk Adjusted Performance | (0.07) | |||
Jensen Alpha | (0.04) | |||
Total Risk Alpha | (0.06) | |||
Treynor Ratio | 2.05 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Pimco Income'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.
Pimco Me Fund Backtested Returns
Pimco Me Fund maintains Sharpe Ratio (i.e., Efficiency) of -0.0919, which implies the entity had a -0.0919% return per unit of risk over the last 3 months. Pimco Me Fund exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Pimco Income's Coefficient Of Variation of (1,088), variance of 0.0953, and Risk Adjusted Performance of (0.07) to confirm the risk estimate we provide. The fund holds a Beta of -0.0187, which implies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Pimco Income are expected to decrease at a much lower rate. During the bear market, Pimco Income is likely to outperform the market.
Auto-correlation | 0.70 |
Good predictability
Pimco Income Fund has good predictability. Overlapping area represents the amount of predictability between Pimco Income time series from 12th of May 2022 to 7th of May 2023 and 7th of May 2023 to 1st of May 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 Pimco Me Fund price movement. The serial correlation of 0.7 indicates that around 70.0% of current Pimco Income price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.7 | |
Spearman Rank Test | 0.47 | |
Residual Average | 0.0 | |
Price Variance | 0.07 |
Pimco Me Fund lagged returns against current returns
Autocorrelation, which is Pimco Income 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 Pimco Income's mutual fund expected returns. We can calculate the autocorrelation of Pimco Income returns to help us make a trade decision. For example, suppose you find that Pimco Income 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 |
Pimco Income 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 Income mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Pimco Income mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Pimco Income mutual fund over time.
Current vs Lagged Prices |
Timeline |
Pimco Income Lagged Returns
When evaluating Pimco Income's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Pimco Income mutual fund have on its future price. Pimco Income 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 Income autocorrelation shows the relationship between Pimco Income mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Pimco Income Fund.
Regressed Prices |
Timeline |
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Check out Pimco Income Correlation, Pimco Income Volatility and Pimco Income Alpha and Beta module to complement your research on Pimco Income. You can also try the Commodity Directory module to find actively traded commodities issued by global exchanges.
Pimco Income 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.