Fidelity Modity Strategy Fund Market Value
| FYHTX Fund | USD 94.74 0.20 0.21% |
| Symbol | Fidelity |
Fidelity Commodity '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 Commodity'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 Commodity.
| 05/07/2025 |
| 08/05/2025 |
If you would invest 0.00 in Fidelity Commodity on May 7, 2025 and sell it all today you would earn a total of 0.00 from holding Fidelity Modity Strategy or generate 0.0% return on investment in Fidelity Commodity over 90 days. Fidelity Commodity is related to or competes with Neiman Large, Qs Large, Jpmorgan Large, Fidelity Large, and Dreyfus Large. The fund normally invests in commodity-linked derivative instruments, short-term investment-grade debt securities, cash,... More
Fidelity Commodity 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 Commodity'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 Modity Strategy upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.8566 | |||
| Information Ratio | (0.15) | |||
| Maximum Drawdown | 4.47 | |||
| Value At Risk | (1.03) | |||
| Potential Upside | 1.51 |
Fidelity Commodity Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Fidelity Commodity's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Fidelity Commodity's standard deviation. In reality, there are many statistical measures that can use Fidelity Commodity historical prices to predict the future Fidelity Commodity's volatility.| Risk Adjusted Performance | 0.0034 | |||
| Jensen Alpha | 0.0238 | |||
| Total Risk Alpha | (0.12) | |||
| Sortino Ratio | (0.14) | |||
| Treynor Ratio | 0.0246 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Fidelity Commodity'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 Modity Strategy Backtested Returns
At this stage we consider Fidelity Mutual Fund to be very steady. Fidelity Modity Strategy secures Sharpe Ratio (or Efficiency) of close to zero, which denotes the fund had a close to zero % return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Fidelity Modity Strategy, which you can use to evaluate the volatility of the entity. Please confirm Fidelity Commodity's Downside Deviation of 0.8566, mean deviation of 0.5884, and Coefficient Of Variation of 23884.61 to check if the risk estimate we provide is consistent with the expected return of 0.0034%. The fund shows a Beta (market volatility) of -0.27, which means not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Fidelity Commodity are expected to decrease at a much lower rate. During the bear market, Fidelity Commodity is likely to outperform the market.
Auto-correlation | -0.62 |
Very good reverse predictability
Fidelity Modity Strategy has very good reverse predictability. Overlapping area represents the amount of predictability between Fidelity Commodity time series from 7th of May 2025 to 21st of June 2025 and 21st of June 2025 to 5th of August 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 Modity Strategy price movement. The serial correlation of -0.62 indicates that roughly 62.0% of current Fidelity Commodity price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.62 | |
| Spearman Rank Test | 0.25 | |
| Residual Average | 0.0 | |
| Price Variance | 1.4 |
Fidelity Modity Strategy lagged returns against current returns
Autocorrelation, which is Fidelity Commodity 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 Commodity's mutual fund expected returns. We can calculate the autocorrelation of Fidelity Commodity returns to help us make a trade decision. For example, suppose you find that Fidelity Commodity 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 Commodity 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 Commodity mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Fidelity Commodity 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 Commodity mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Fidelity Commodity Lagged Returns
When evaluating Fidelity Commodity's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Fidelity Commodity mutual fund have on its future price. Fidelity Commodity 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 Commodity autocorrelation shows the relationship between Fidelity Commodity mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Fidelity Modity Strategy.
Regressed Prices |
| Timeline |
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 Fidelity Mutual Fund
Fidelity Commodity 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 Commodity security.
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