Fidelity Tactical High Fund Market Value
| FTHI Fund | 10.98 0.06 0.54% |
| Symbol | Fidelity |
Fidelity Tactical '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 Tactical's 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 Tactical.
| 05/31/2024 |
| 11/27/2024 |
If you would invest 0.00 in Fidelity Tactical on May 31, 2024 and sell it all today you would earn a total of 0.00 from holding Fidelity Tactical High or generate 0.0% return on investment in Fidelity Tactical over 180 days.
Fidelity Tactical 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 Tactical's 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 Tactical High upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.4799 | |||
| Information Ratio | 0.0162 | |||
| Maximum Drawdown | 3.04 | |||
| Value At Risk | (0.60) | |||
| Potential Upside | 1.11 |
Fidelity Tactical Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Fidelity Tactical's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Fidelity Tactical's standard deviation. In reality, there are many statistical measures that can use Fidelity Tactical historical prices to predict the future Fidelity Tactical's volatility.| Risk Adjusted Performance | 0.187 | |||
| Jensen Alpha | 0.151 | |||
| Total Risk Alpha | 0.0414 | |||
| Sortino Ratio | 0.0189 | |||
| Treynor Ratio | (0.72) |
Fidelity Tactical High Backtested Returns
As of now, Fidelity Fund is very steady. Fidelity Tactical High secures Sharpe Ratio (or Efficiency) of 0.26, which denotes the fund had a 0.26% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Fidelity Tactical High, which you can use to evaluate the volatility of the entity. Please confirm Fidelity Tactical's Downside Deviation of 0.4799, mean deviation of 0.4129, and Coefficient Of Variation of 400.84 to check if the risk estimate we provide is consistent with the expected return of 0.15%. 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, returns on owning Fidelity Tactical are expected to decrease at a much lower rate. During the bear market, Fidelity Tactical is likely to outperform the market.
Auto-correlation | 0.14 |
Insignificant predictability
Fidelity Tactical High has insignificant predictability. Overlapping area represents the amount of predictability between Fidelity Tactical time series from 31st of May 2024 to 29th of August 2024 and 29th of August 2024 to 27th of November 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 Tactical High price movement. The serial correlation of 0.14 indicates that less than 14.0% of current Fidelity Tactical price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.14 | |
| Spearman Rank Test | 0.23 | |
| Residual Average | 0.0 | |
| Price Variance | 0.08 |
Fidelity Tactical High lagged returns against current returns
Autocorrelation, which is Fidelity Tactical 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 Tactical's fund expected returns. We can calculate the autocorrelation of Fidelity Tactical returns to help us make a trade decision. For example, suppose you find that Fidelity Tactical has exhibited high autocorrelation historically, and you observe that the 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 Tactical 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 Tactical fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Fidelity Tactical fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Fidelity Tactical fund over time.
Current vs Lagged Prices |
| Timeline |
Fidelity Tactical Lagged Returns
When evaluating Fidelity Tactical's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Fidelity Tactical fund have on its future price. Fidelity Tactical 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 Tactical autocorrelation shows the relationship between Fidelity Tactical fund current value and its past values and can show if there is a momentum factor associated with investing in Fidelity Tactical High.
Regressed Prices |
| Timeline |
Pair Trading with Fidelity Tactical
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Fidelity Tactical position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Fidelity Tactical will appreciate offsetting losses from the drop in the long position's value.Moving together with Fidelity Fund
| 0.89 | 0P0000706A | RBC Select Balanced | PairCorr |
| 0.9 | 0P00007069 | RBC Portefeuille | PairCorr |
| 0.8 | 0P0001FAU8 | TD Comfort Balanced | PairCorr |
| 0.95 | 0P00012UCU | RBC Global Equity | PairCorr |
The ability to find closely correlated positions to Fidelity Tactical could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Fidelity Tactical when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Fidelity Tactical - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Fidelity Tactical High to buy it.
The correlation of Fidelity Tactical is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Fidelity Tactical moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Fidelity Tactical High moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Fidelity Tactical can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.| Money Managers Screen money managers from public funds and ETFs managed around the world | |
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