Technology Portfolio Technology Fund Market Value
| FSPTX Fund | USD 40.41 0.28 0.70% |
| Symbol | Technology |
Technology 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 Technology 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 Technology Portfolio.
| 05/02/2025 |
| 07/31/2025 |
If you would invest 0.00 in Technology Portfolio on May 2, 2025 and sell it all today you would earn a total of 0.00 from holding Technology Portfolio Technology or generate 0.0% return on investment in Technology Portfolio over 90 days. Technology Portfolio is related to or competes with Fidelity Select, Software And, Computers Portfolio, Health Care, and Biotechnology Portfolio. The fund primarily invests in common stocks More
Technology 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 Technology 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 Technology Portfolio Technology upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.8809 | |||
| Information Ratio | 0.219 | |||
| Maximum Drawdown | 7.18 | |||
| Value At Risk | (1.14) | |||
| Potential Upside | 2.12 |
Technology Portfolio Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Technology Portfolio's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Technology Portfolio's standard deviation. In reality, there are many statistical measures that can use Technology Portfolio historical prices to predict the future Technology Portfolio's volatility.| Risk Adjusted Performance | 0.2764 | |||
| Jensen Alpha | 0.2629 | |||
| Total Risk Alpha | 0.177 | |||
| Sortino Ratio | 0.2866 | |||
| Treynor Ratio | 0.4315 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Technology 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.
Technology Portfolio Backtested Returns
Technology Portfolio appears to be very steady, given 3 months investment horizon. Technology Portfolio owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.33, which indicates the fund had a 0.33 % return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Technology Portfolio Technology, which you can use to evaluate the volatility of the fund. Please review Technology Portfolio's Risk Adjusted Performance of 0.2764, coefficient of variation of 280.23, and Semi Deviation of 0.2052 to confirm if our risk estimates are consistent with your expectations. The entity has a beta of 0.93, which indicates possible diversification benefits within a given portfolio. Technology Portfolio returns are very sensitive to returns on the market. As the market goes up or down, Technology Portfolio is expected to follow.
Auto-correlation | 0.92 |
Excellent predictability
Technology Portfolio Technology has excellent predictability. Overlapping area represents the amount of predictability between Technology Portfolio time series from 2nd of May 2025 to 16th of June 2025 and 16th of June 2025 to 31st of July 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 Technology Portfolio price movement. The serial correlation of 0.92 indicates that approximately 92.0% of current Technology Portfolio price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.92 | |
| Spearman Rank Test | 0.86 | |
| Residual Average | 0.0 | |
| Price Variance | 1.41 |
Technology Portfolio lagged returns against current returns
Autocorrelation, which is Technology 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 Technology Portfolio's mutual fund expected returns. We can calculate the autocorrelation of Technology Portfolio returns to help us make a trade decision. For example, suppose you find that Technology 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 |
Technology 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 Technology Portfolio mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Technology 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 Technology Portfolio mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Technology Portfolio Lagged Returns
When evaluating Technology Portfolio's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Technology Portfolio mutual fund have on its future price. Technology 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, Technology Portfolio autocorrelation shows the relationship between Technology Portfolio mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Technology Portfolio Technology.
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 Technology Mutual Fund
Technology Portfolio financial ratios help investors to determine whether Technology 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 Technology with respect to the benefits of owning Technology Portfolio security.
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