Pharmaceuticals Portfolio Pharmaceuticals Fund Market Value
| FPHAX Fund | USD 26.17 0.32 1.24% |
| Symbol | Pharmaceuticals |
Pharmaceuticals Portfolio '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 Pharmaceuticals Portfolio'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 Pharmaceuticals Portfolio.
| 06/28/2023 |
| 04/23/2024 |
If you would invest 0.00 in Pharmaceuticals Portfolio on June 28, 2023 and sell it all today you would earn a total of 0.00 from holding Pharmaceuticals Portfolio Pharmaceuticals or generate 0.0% return on investment in Pharmaceuticals Portfolio over 300 days. Pharmaceuticals Portfolio is related to or competes with Fidelity Advisor, Fidelity Advisor, Fidelity Advisor, Fidelity Advisor, and Fidelity Advisor. The fund normally invests at least 80 percent of assets in companies engaged in the research, development, manufacture, ... More
Pharmaceuticals Portfolio 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 Pharmaceuticals Portfolio'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 Pharmaceuticals Portfolio Pharmaceuticals upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.8635 | |||
| Information Ratio | 0.0321 | |||
| Maximum Drawdown | 4.53 | |||
| Value At Risk | (1.20) | |||
| Potential Upside | 1.56 |
Pharmaceuticals Portfolio Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Pharmaceuticals Portfolio's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Pharmaceuticals Portfolio's standard deviation. In reality, there are many statistical measures that can use Pharmaceuticals Portfolio historical prices to predict the future Pharmaceuticals Portfolio's volatility.| Risk Adjusted Performance | 0.0798 | |||
| Jensen Alpha | 0.0344 | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | 0.0341 | |||
| Treynor Ratio | 0.1122 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Pharmaceuticals Portfolio'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.
Pharmaceuticals Portfolio Backtested Returns
We consider Pharmaceuticals Portfolio very steady. Pharmaceuticals Portfolio maintains Sharpe Ratio (i.e., Efficiency) of 0.14, which implies the entity had a 0.14% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Pharmaceuticals Portfolio, which you can use to evaluate the volatility of the fund. Please check Pharmaceuticals Portfolio's Risk Adjusted Performance of 0.0798, semi deviation of 0.6768, and Coefficient Of Variation of 800.54 to confirm if the risk estimate we provide is consistent with the expected return of 0.14%. The fund holds a Beta of 0.93, which implies possible diversification benefits within a given portfolio. Pharmaceuticals Portfolio returns are very sensitive to returns on the market. As the market goes up or down, Pharmaceuticals Portfolio is expected to follow.
Auto-correlation | -0.08 |
Very weak reverse predictability
Pharmaceuticals Portfolio Pharmaceuticals has very weak reverse predictability. Overlapping area represents the amount of predictability between Pharmaceuticals Portfolio time series from 28th of June 2023 to 25th of November 2023 and 25th of November 2023 to 23rd 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 Pharmaceuticals Portfolio price movement. The serial correlation of -0.08 indicates that barely 8.0% of current Pharmaceuticals Portfolio price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.08 | |
| Spearman Rank Test | -0.23 | |
| Residual Average | 0.0 | |
| Price Variance | 3.76 |
Pharmaceuticals Portfolio lagged returns against current returns
Autocorrelation, which is Pharmaceuticals Portfolio 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 Pharmaceuticals Portfolio's mutual fund expected returns. We can calculate the autocorrelation of Pharmaceuticals Portfolio returns to help us make a trade decision. For example, suppose you find that Pharmaceuticals Portfolio 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 |
Pharmaceuticals Portfolio 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 Pharmaceuticals Portfolio mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Pharmaceuticals Portfolio mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Pharmaceuticals Portfolio mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Pharmaceuticals Portfolio Lagged Returns
When evaluating Pharmaceuticals Portfolio's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Pharmaceuticals Portfolio mutual fund have on its future price. Pharmaceuticals Portfolio 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, Pharmaceuticals Portfolio autocorrelation shows the relationship between Pharmaceuticals Portfolio mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Pharmaceuticals Portfolio Pharmaceuticals.
Regressed Prices |
| Timeline |
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Try AI Portfolio ArchitectCheck out Pharmaceuticals Portfolio Correlation, Pharmaceuticals Portfolio Volatility and Pharmaceuticals Portfolio Alpha and Beta module to complement your research on Pharmaceuticals Portfolio. Note that the Pharmaceuticals Portfolio information on this page should be used as a complementary analysis to other Pharmaceuticals Portfolio's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Sectors module to list of equity sectors categorizing publicly traded companies based on their primary business activities.
Pharmaceuticals Portfolio 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.