Fidelity Climate Action Fund Market Value
| FCAEX Fund | USD 13.00 0.07 0.54% |
| Symbol | Fidelity |
Fidelity 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 Fidelity 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 Fidelity Climate.
| 01/01/2024 |
| 07/24/2025 |
If you would invest 0.00 in Fidelity Climate on January 1, 2024 and sell it all today you would earn a total of 0.00 from holding Fidelity Climate Action or generate 0.0% return on investment in Fidelity Climate over 570 days. Fidelity Climate is related to or competes with Fidelity Environmental, Fidelity Water, Fidelity Advisor, Fidelity Womens, and Environment And. The fund normally invests at least 80 percent of assets in equity securities of climate aware companies More
Fidelity 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 Fidelity 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 Fidelity Climate Action upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.8863 | |||
| Information Ratio | 0.0978 | |||
| Maximum Drawdown | 5.58 | |||
| Value At Risk | (1.37) | |||
| Potential Upside | 2.08 |
Fidelity Climate Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Fidelity Climate's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Fidelity Climate's standard deviation. In reality, there are many statistical measures that can use Fidelity Climate historical prices to predict the future Fidelity Climate's volatility.| Risk Adjusted Performance | 0.2811 | |||
| Jensen Alpha | 0.3386 | |||
| Total Risk Alpha | 0.0731 | |||
| Sortino Ratio | 0.1098 | |||
| Treynor Ratio | (1.76) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Fidelity Climate'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.
Fidelity Climate Action Backtested Returns
Fidelity Climate appears to be very steady, given 3 months investment horizon. Fidelity Climate Action secures Sharpe Ratio (or Efficiency) of 0.3, which denotes the fund had a 0.3 % return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Fidelity Climate Action, which you can use to evaluate the volatility of the entity. Please utilize Fidelity Climate's Mean Deviation of 0.6814, downside deviation of 0.8863, and Coefficient Of Variation of 317.79 to check if our risk estimates are consistent with your expectations. The fund shows a Beta (market volatility) of -0.17, which means not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Fidelity Climate are expected to decrease at a much lower rate. During the bear market, Fidelity Climate is likely to outperform the market.
Auto-correlation | -0.32 |
Poor reverse predictability
Fidelity Climate Action has poor reverse predictability. Overlapping area represents the amount of predictability between Fidelity Climate time series from 1st of January 2024 to 12th of October 2024 and 12th of October 2024 to 24th 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 Fidelity Climate Action price movement. The serial correlation of -0.32 indicates that nearly 32.0% of current Fidelity Climate price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.32 | |
| Spearman Rank Test | -0.14 | |
| Residual Average | 0.0 | |
| Price Variance | 0.41 |
Fidelity Climate Action lagged returns against current returns
Autocorrelation, which is Fidelity 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 Fidelity Climate's mutual fund expected returns. We can calculate the autocorrelation of Fidelity Climate returns to help us make a trade decision. For example, suppose you find that Fidelity 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 |
Fidelity 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 Fidelity Climate mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Fidelity 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 Fidelity Climate mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Fidelity Climate Lagged Returns
When evaluating Fidelity Climate's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Fidelity Climate mutual fund have on its future price. Fidelity 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, Fidelity Climate autocorrelation shows the relationship between Fidelity Climate mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Fidelity Climate Action.
Regressed Prices |
| Timeline |
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Other Information on Investing in Fidelity Mutual Fund
Fidelity Climate financial ratios help investors to determine whether Fidelity 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 Fidelity with respect to the benefits of owning Fidelity Climate security.
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