Fidelity New Markets Fund Market Value
| FNMIX Fund | USD 12.39 0.03 0.24% |
| Symbol | Fidelity |
Fidelity New '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 New'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 New.
| 01/25/2024 |
| 04/24/2024 |
If you would invest 0.00 in Fidelity New on January 25, 2024 and sell it all today you would earn a total of 0.00 from holding Fidelity New Markets or generate 0.0% return on investment in Fidelity New over 90 days. Fidelity New is related to or competes with Fidelity Capital, Fidelity High, Fidelity Advisor, Fidelity Canada, and Fidelity Real. The fund normally invests at least 80 percent of assets in securities of issuers in emerging markets and other investmen... More
Fidelity New 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 New'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 New Markets upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.4036 | |||
| Information Ratio | (0.13) | |||
| Maximum Drawdown | 1.96 | |||
| Value At Risk | (0.66) | |||
| Potential Upside | 0.5776 |
Fidelity New Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Fidelity New's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Fidelity New's standard deviation. In reality, there are many statistical measures that can use Fidelity New historical prices to predict the future Fidelity New's volatility.| Risk Adjusted Performance | 0.0665 | |||
| Jensen Alpha | 0.0195 | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.12) | |||
| Treynor Ratio | 0.1929 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Fidelity New'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 New Markets Backtested Returns
We consider Fidelity New very steady. Fidelity New Markets secures Sharpe Ratio (or Efficiency) of 0.12, which denotes the fund had a 0.12% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Fidelity New Markets, which you can use to evaluate the volatility of the entity. Please confirm Fidelity New's Downside Deviation of 0.4036, coefficient of variation of 858.46, and Mean Deviation of 0.2976 to check if the risk estimate we provide is consistent with the expected return of 0.0449%. The fund shows a Beta (market volatility) of 0.18, which means not very significant fluctuations relative to the market. As returns on the market increase, Fidelity New's returns are expected to increase less than the market. However, during the bear market, the loss of holding Fidelity New is expected to be smaller as well.
Auto-correlation | -0.41 |
Modest reverse predictability
Fidelity New Markets has modest reverse predictability. Overlapping area represents the amount of predictability between Fidelity New time series from 25th of January 2024 to 10th of March 2024 and 10th of March 2024 to 24th of April 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 Fidelity New Markets price movement. The serial correlation of -0.41 indicates that just about 41.0% of current Fidelity New price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.41 | |
| Spearman Rank Test | -0.01 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
Fidelity New Markets lagged returns against current returns
Autocorrelation, which is Fidelity New 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 New's mutual fund expected returns. We can calculate the autocorrelation of Fidelity New returns to help us make a trade decision. For example, suppose you find that Fidelity New 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 New 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 New mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Fidelity New 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 New mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Fidelity New Lagged Returns
When evaluating Fidelity New's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Fidelity New mutual fund have on its future price. Fidelity New 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 New autocorrelation shows the relationship between Fidelity New mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Fidelity New Markets.
Regressed Prices |
| Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Fidelity New in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Fidelity New's short interest history, or implied volatility extrapolated from Fidelity New options trading.
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Fidelity New 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.