Chemicals Portfolio Chemicals Fund Market Value
| FSCHX Fund | USD 14.83 0.12 0.82% |
| Symbol | Chemicals |
Chemicals 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 Chemicals 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 Chemicals Portfolio.
| 03/31/2024 |
| 04/30/2024 |
If you would invest 0.00 in Chemicals Portfolio on March 31, 2024 and sell it all today you would earn a total of 0.00 from holding Chemicals Portfolio Chemicals or generate 0.0% return on investment in Chemicals Portfolio over 30 days. Chemicals Portfolio is related to or competes with Fidelity Freedom, Fidelity Puritan, Fidelity Puritan, Fidelity Pennsylvania, Fidelity Freedom, Fidelity Freedom, and Fidelity Salem. The fund invests primarily in common stocks More
Chemicals 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 Chemicals 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 Chemicals Portfolio Chemicals upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.66 | |||
| Information Ratio | 0.0048 | |||
| Maximum Drawdown | 9.82 | |||
| Value At Risk | (1.63) | |||
| Potential Upside | 2.02 |
Chemicals Portfolio Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Chemicals Portfolio's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Chemicals Portfolio's standard deviation. In reality, there are many statistical measures that can use Chemicals Portfolio historical prices to predict the future Chemicals Portfolio's volatility.| Risk Adjusted Performance | 0.0511 | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.08) | |||
| Sortino Ratio | 0.0037 | |||
| Treynor Ratio | 0.0648 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Chemicals 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.
Chemicals Portfolio Backtested Returns
We consider Chemicals Portfolio very steady. Chemicals Portfolio secures Sharpe Ratio (or Efficiency) of 0.0869, which signifies that the fund had a 0.0869% return per unit of standard deviation over the last 3 months. We have found twenty-eight technical indicators for Chemicals Portfolio Chemicals, which you can use to evaluate the volatility of the entity. Please confirm Chemicals Portfolio's risk adjusted performance of 0.0511, and Mean Deviation of 0.782 to double-check if the risk estimate we provide is consistent with the expected return of 0.11%. The fund shows a Beta (market volatility) of 1.32, which signifies a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Chemicals Portfolio will likely underperform.
Auto-correlation | -0.54 |
Good reverse predictability
Chemicals Portfolio Chemicals has good reverse predictability. Overlapping area represents the amount of predictability between Chemicals Portfolio time series from 31st of March 2024 to 15th of April 2024 and 15th of April 2024 to 30th 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 Chemicals Portfolio price movement. The serial correlation of -0.54 indicates that about 54.0% of current Chemicals Portfolio price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.54 | |
| Spearman Rank Test | -0.57 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Chemicals Portfolio lagged returns against current returns
Autocorrelation, which is Chemicals 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 Chemicals Portfolio's mutual fund expected returns. We can calculate the autocorrelation of Chemicals Portfolio returns to help us make a trade decision. For example, suppose you find that Chemicals 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 |
Chemicals 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 Chemicals Portfolio mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Chemicals 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 Chemicals Portfolio mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Chemicals Portfolio Lagged Returns
When evaluating Chemicals Portfolio's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Chemicals Portfolio mutual fund have on its future price. Chemicals 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, Chemicals Portfolio autocorrelation shows the relationship between Chemicals Portfolio mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Chemicals Portfolio Chemicals.
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 Chemicals Portfolio 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, Chemicals Portfolio's short interest history, or implied volatility extrapolated from Chemicals Portfolio options trading.
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Try AI Portfolio ArchitectCheck out Chemicals Portfolio Correlation, Chemicals Portfolio Volatility and Chemicals Portfolio Alpha and Beta module to complement your research on Chemicals Portfolio. Note that the Chemicals Portfolio information on this page should be used as a complementary analysis to other Chemicals 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 Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
Chemicals 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.