Pimco Climate Bond Fund Market Value
| PCEIX Fund | USD 9.03 0.01 0.11% |
| Symbol | Pimco |
Pimco Climate '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 Climate'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 Climate.
| 10/04/2025 |
| 01/02/2026 |
If you would invest 0.00 in Pimco Climate on October 4, 2025 and sell it all today you would earn a total of 0.00 from holding Pimco Climate Bond or generate 0.0% return on investment in Pimco Climate over 90 days. Pimco Climate is related to or competes with Fidelity Climate, Fidelity Low, Monongahela All, Consumer Products, Guggenheim Alpha, Dow 2x, and Villere Equity. The fund seeks to achieve its investment objective by investing under normal circumstances at least 80 percent of its as... More
Pimco Climate 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 Climate'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 Climate Bond upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.2763 | |||
| Information Ratio | (0.30) | |||
| Maximum Drawdown | 1.32 | |||
| Value At Risk | (0.22) | |||
| Potential Upside | 0.221 |
Pimco Climate Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Pimco Climate's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Pimco Climate's standard deviation. In reality, there are many statistical measures that can use Pimco Climate historical prices to predict the future Pimco Climate's volatility.| Risk Adjusted Performance | (0.02) | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.21) | |||
| Treynor Ratio | (0.23) |
Pimco Climate Bond Backtested Returns
Pimco Climate Bond maintains Sharpe Ratio (i.e., Efficiency) of -0.0279, which implies the entity had a -0.0279 % return per unit of risk over the last 3 months. Pimco Climate Bond exposes twenty-seven different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Pimco Climate's Coefficient Of Variation of 10153.13, risk adjusted performance of (0.02), and Semi Deviation of 0.1956 to confirm the risk estimate we provide. The fund holds a Beta of 0.0356, which implies not very significant fluctuations relative to the market. As returns on the market increase, Pimco Climate's returns are expected to increase less than the market. However, during the bear market, the loss of holding Pimco Climate is expected to be smaller as well.
Auto-correlation | 0.21 |
Weak predictability
Pimco Climate Bond has weak predictability. Overlapping area represents the amount of predictability between Pimco Climate time series from 4th of October 2025 to 18th of November 2025 and 18th of November 2025 to 2nd of January 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 Climate Bond price movement. The serial correlation of 0.21 indicates that over 21.0% of current Pimco Climate price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.21 | |
| Spearman Rank Test | -0.38 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Pimco Climate Bond lagged returns against current returns
Autocorrelation, which is Pimco Climate 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 Climate's mutual fund expected returns. We can calculate the autocorrelation of Pimco Climate returns to help us make a trade decision. For example, suppose you find that Pimco Climate 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 Climate 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 Climate mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Pimco Climate 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 Climate mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Pimco Climate Lagged Returns
When evaluating Pimco Climate's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Pimco Climate mutual fund have on its future price. Pimco Climate 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 Climate autocorrelation shows the relationship between Pimco Climate mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Pimco Climate Bond.
Regressed Prices |
| Timeline |
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Other Information on Investing in Pimco Mutual Fund
Pimco Climate 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 Climate security.
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