Fidelity Guaranty Life Market Value
| 315786AC7 | 97.68 0.00 0.00% |
| Symbol | Fidelity |
Fidelity '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's bond 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.
| 11/01/2024 |
| 12/01/2024 |
If you would invest 0.00 in Fidelity on November 1, 2024 and sell it all today you would earn a total of 0.00 from holding Fidelity Guaranty Life or generate 0.0% return on investment in Fidelity over 30 days. Fidelity is related to or competes with Oatly Group, PepsiCo, Tarsus Pharmaceuticals, Coca Cola, BioNTech, and Catalyst Pharmaceuticals. More
Fidelity 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's bond 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 Guaranty Life upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.24) | |||
| Maximum Drawdown | 4.47 | |||
| Value At Risk | (1.37) | |||
| Potential Upside | 0.7292 |
Fidelity Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Fidelity's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Fidelity's standard deviation. In reality, there are many statistical measures that can use Fidelity historical prices to predict the future Fidelity's volatility.| Risk Adjusted Performance | (0.03) | |||
| Jensen Alpha | (0.04) | |||
| Total Risk Alpha | (0.14) | |||
| Treynor Ratio | (0.54) |
Fidelity Guaranty Life Backtested Returns
Fidelity Guaranty Life secures Sharpe Ratio (or Efficiency) of -0.11, which denotes the bond had a -0.11% return per unit of risk over the last 3 months. Fidelity Guaranty Life exposes nineteen different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Fidelity's Mean Deviation of 0.3386, standard deviation of 0.6555, and Variance of 0.4297 to check the risk estimate we provide. The bond shows a Beta (market volatility) of 0.0562, which means not very significant fluctuations relative to the market. As returns on the market increase, Fidelity's returns are expected to increase less than the market. However, during the bear market, the loss of holding Fidelity is expected to be smaller as well.
Auto-correlation | -1 |
Near perfect reversele predictability
Fidelity Guaranty Life has near perfect reversele predictability. Overlapping area represents the amount of predictability between Fidelity time series from 1st of November 2024 to 16th of November 2024 and 16th of November 2024 to 1st of December 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 Guaranty Life price movement. The serial correlation of -1.0 indicates that 100.0% of current Fidelity price fluctuation can be explain by its past prices.
| Correlation Coefficient | -1.0 | |
| Spearman Rank Test | -1.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.87 |
Fidelity Guaranty Life lagged returns against current returns
Autocorrelation, which is Fidelity bond'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's bond expected returns. We can calculate the autocorrelation of Fidelity returns to help us make a trade decision. For example, suppose you find that Fidelity has exhibited high autocorrelation historically, and you observe that the bond 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 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 bond is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Fidelity bond is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Fidelity bond over time.
Current vs Lagged Prices |
| Timeline |
Fidelity Lagged Returns
When evaluating Fidelity's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Fidelity bond have on its future price. Fidelity 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 autocorrelation shows the relationship between Fidelity bond current value and its past values and can show if there is a momentum factor associated with investing in Fidelity Guaranty Life.
Regressed Prices |
| Timeline |
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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 Bond
Fidelity financial ratios help investors to determine whether Fidelity Bond 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 security.