Fidelity Advisor Energy Fund Market Value
FANIX Fund | USD 52.05 0.50 0.97% |
Symbol | Fidelity |
Fidelity Advisor '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 Advisor'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 Advisor.
06/03/2023 |
| 03/29/2024 |
If you would invest 0.00 in Fidelity Advisor on June 3, 2023 and sell it all today you would earn a total of 0.00 from holding Fidelity Advisor Energy or generate 0.0% return on investment in Fidelity Advisor over 300 days. Fidelity Advisor is related to or competes with Scharf Global, Barloworld, Morningstar Unconstrained, SPACE, Via Renewables, T Rowe, and Bondbloxx ETF. The fund normally invests primarily in common stocks More
Fidelity Advisor 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 Advisor'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 Advisor Energy upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 1.07 | |||
Information Ratio | 0.0648 | |||
Maximum Drawdown | 4.57 | |||
Value At Risk | (1.46) | |||
Potential Upside | 1.71 |
Fidelity Advisor Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Fidelity Advisor's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Fidelity Advisor's standard deviation. In reality, there are many statistical measures that can use Fidelity Advisor historical prices to predict the future Fidelity Advisor's volatility.Risk Adjusted Performance | 0.1136 | |||
Jensen Alpha | 0.0987 | |||
Total Risk Alpha | (0.04) | |||
Sortino Ratio | 0.0621 | |||
Treynor Ratio | 0.2576 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Fidelity Advisor'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 Advisor Energy Backtested Returns
Fidelity Advisor appears to be very steady, given 3 months investment horizon. Fidelity Advisor Energy secures Sharpe Ratio (or Efficiency) of 0.21, which denotes the fund had a 0.21% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Fidelity Advisor Energy, which you can use to evaluate the volatility of the entity. Please utilize Fidelity Advisor's Coefficient Of Variation of 509.9, downside deviation of 1.07, and Mean Deviation of 0.7999 to check if our risk estimates are consistent with your expectations. The fund shows a Beta (market volatility) of 0.74, which means possible diversification benefits within a given portfolio. As returns on the market increase, Fidelity Advisor's returns are expected to increase less than the market. However, during the bear market, the loss of holding Fidelity Advisor is expected to be smaller as well.
Auto-correlation | 0.21 |
Weak predictability
Fidelity Advisor Energy has weak predictability. Overlapping area represents the amount of predictability between Fidelity Advisor time series from 3rd of June 2023 to 31st of October 2023 and 31st of October 2023 to 29th of March 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 Advisor Energy price movement. The serial correlation of 0.21 indicates that over 21.0% of current Fidelity Advisor price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.21 | |
Spearman Rank Test | 0.21 | |
Residual Average | 0.0 | |
Price Variance | 4.22 |
Fidelity Advisor Energy lagged returns against current returns
Autocorrelation, which is Fidelity Advisor 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 Advisor's mutual fund expected returns. We can calculate the autocorrelation of Fidelity Advisor returns to help us make a trade decision. For example, suppose you find that Fidelity Advisor 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 Advisor 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 Advisor mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Fidelity Advisor 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 Advisor mutual fund over time.
Current vs Lagged Prices |
Timeline |
Fidelity Advisor Lagged Returns
When evaluating Fidelity Advisor's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Fidelity Advisor mutual fund have on its future price. Fidelity Advisor 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 Advisor autocorrelation shows the relationship between Fidelity Advisor mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Fidelity Advisor Energy.
Regressed Prices |
Timeline |
Building efficient market-beating portfolios requires time, education, and a lot of computing power!
The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.
Try AI Portfolio ArchitectCheck out Fidelity Advisor Correlation, Fidelity Advisor Volatility and Fidelity Advisor Alpha and Beta module to complement your research on Fidelity Advisor. You can also try the Investing Opportunities module to build portfolios using our predefined set of ideas and optimize them against your investing preferences.
Complementary Tools for Fidelity Mutual Fund analysis
When running Fidelity Advisor's price analysis, check to measure Fidelity Advisor's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Fidelity Advisor is operating at the current time. Most of Fidelity Advisor's value examination focuses on studying past and present price action to predict the probability of Fidelity Advisor's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Fidelity Advisor's price. Additionally, you may evaluate how the addition of Fidelity Advisor to your portfolios can decrease your overall portfolio volatility.
Correlation Analysis Reduce portfolio risk simply by holding instruments which are not perfectly correlated | |
My Watchlist Analysis Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like | |
Bonds Directory Find actively traded corporate debentures issued by US companies | |
Instant Ratings Determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
Competition Analyzer Analyze and compare many basic indicators for a group of related or unrelated entities | |
Latest Portfolios Quick portfolio dashboard that showcases your latest portfolios | |
Idea Optimizer Use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio | |
Risk-Return Analysis View associations between returns expected from investment and the risk you assume | |
Portfolio Analyzer Portfolio analysis module that provides access to portfolio diagnostics and optimization engine | |
Price Transformation Use Price Transformation models to analyze the depth of different equity instruments across global markets |
Fidelity Advisor 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.