Software And It Fund Market Value
| FSCSX Fund | USD 28.65 0.51 1.81% |
| Symbol | Software |
Software '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 Software'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 Software.
| 05/07/2025 |
| 08/05/2025 |
If you would invest 0.00 in Software on May 7, 2025 and sell it all today you would earn a total of 0.00 from holding Software And It or generate 0.0% return on investment in Software over 90 days. Software is related to or competes with Technology Portfolio, Fidelity Select, Retailing Portfolio, It Services, and Medical Equipment. It normally invests at least 80 percent of assets in securities of companies principally engaged in research, design, pr... More
Software 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 Software'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 Software And It upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.07 | |||
| Information Ratio | 0.054 | |||
| Maximum Drawdown | 6.74 | |||
| Value At Risk | (1.79) | |||
| Potential Upside | 1.81 |
Software Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Software's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Software's standard deviation. In reality, there are many statistical measures that can use Software historical prices to predict the future Software's volatility.| Risk Adjusted Performance | 0.1378 | |||
| Jensen Alpha | 0.1952 | |||
| Total Risk Alpha | 0.013 | |||
| Sortino Ratio | 0.0567 | |||
| Treynor Ratio | (1.33) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Software'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.
Software And It Backtested Returns
At this stage we consider Software Mutual Fund to be very steady. Software And It owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.17, which indicates the fund had a 0.17 % return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Software And It, which you can use to evaluate the volatility of the fund. Please validate Software's Risk Adjusted Performance of 0.1378, semi deviation of 0.8725, and Coefficient Of Variation of 594.12 to confirm if the risk estimate we provide is consistent with the expected return of 0.19%. The entity has a beta of -0.14, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Software are expected to decrease at a much lower rate. During the bear market, Software is likely to outperform the market.
Auto-correlation | 0.65 |
Good predictability
Software And It has good predictability. Overlapping area represents the amount of predictability between Software time series from 7th of May 2025 to 21st of June 2025 and 21st of June 2025 to 5th of August 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Software And It price movement. The serial correlation of 0.65 indicates that roughly 65.0% of current Software price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.65 | |
| Spearman Rank Test | 0.33 | |
| Residual Average | 0.0 | |
| Price Variance | 0.19 |
Software And It lagged returns against current returns
Autocorrelation, which is Software 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 Software's mutual fund expected returns. We can calculate the autocorrelation of Software returns to help us make a trade decision. For example, suppose you find that Software 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 |
Software 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 Software mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Software mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Software mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Software Lagged Returns
When evaluating Software's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Software mutual fund have on its future price. Software 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, Software autocorrelation shows the relationship between Software mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Software And It.
Regressed Prices |
| Timeline |
Also Currently Popular
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 Software Mutual Fund
Software financial ratios help investors to determine whether Software Mutual Fund 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 Software with respect to the benefits of owning Software security.
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