Computers Portfolio Puters Fund Market Value
| FDCPX Fund | USD 96.66 0.30 0.31% |
| Symbol | Computers |
Computers 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 Computers 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 Computers Portfolio.
| 03/24/2024 |
| 04/23/2024 |
If you would invest 0.00 in Computers Portfolio on March 24, 2024 and sell it all today you would earn a total of 0.00 from holding Computers Portfolio Puters or generate 0.0% return on investment in Computers Portfolio over 30 days. Computers Portfolio is related to or competes with Telecommunications, Fidelity Select, Consumer Finance, Technology Portfolio, and Banking Portfolio. The fund normally invests in common stocks More
Computers 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 Computers 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 Computers Portfolio Puters upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.13 | |||
| Information Ratio | (0.03) | |||
| Maximum Drawdown | 6.29 | |||
| Value At Risk | (2.16) | |||
| Potential Upside | 1.87 |
Computers Portfolio Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Computers Portfolio's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Computers Portfolio's standard deviation. In reality, there are many statistical measures that can use Computers Portfolio historical prices to predict the future Computers Portfolio's volatility.| Risk Adjusted Performance | 0.0293 | |||
| Jensen Alpha | (0.05) | |||
| Total Risk Alpha | (0.11) | |||
| Sortino Ratio | (0.03) | |||
| Treynor Ratio | 0.0308 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Computers 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.
Computers Portfolio Backtested Returns
Computers Portfolio secures Sharpe Ratio (or Efficiency) of -0.0096, which signifies that the fund had a -0.0096% return per unit of risk over the last 3 months. Computers Portfolio Puters exposes twenty-seven different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Computers Portfolio's Risk Adjusted Performance of 0.0293, mean deviation of 0.8709, and Downside Deviation of 1.13 to double-check the risk estimate we provide. The fund shows a Beta (market volatility) of 1.2, 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, Computers Portfolio will likely underperform.
Auto-correlation | -0.62 |
Very good reverse predictability
Computers Portfolio Puters has very good reverse predictability. Overlapping area represents the amount of predictability between Computers Portfolio time series from 24th of March 2024 to 8th of April 2024 and 8th of April 2024 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 Computers Portfolio price movement. The serial correlation of -0.62 indicates that roughly 62.0% of current Computers Portfolio price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.62 | |
| Spearman Rank Test | -0.76 | |
| Residual Average | 0.0 | |
| Price Variance | 6.1 |
Computers Portfolio lagged returns against current returns
Autocorrelation, which is Computers 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 Computers Portfolio's mutual fund expected returns. We can calculate the autocorrelation of Computers Portfolio returns to help us make a trade decision. For example, suppose you find that Computers 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 |
Computers 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 Computers Portfolio mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Computers 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 Computers Portfolio mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Computers Portfolio Lagged Returns
When evaluating Computers Portfolio's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Computers Portfolio mutual fund have on its future price. Computers 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, Computers Portfolio autocorrelation shows the relationship between Computers Portfolio mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Computers Portfolio Puters.
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 Computers 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, Computers Portfolio's short interest history, or implied volatility extrapolated from Computers Portfolio options trading.
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Try AI Portfolio ArchitectCheck out Computers Portfolio Correlation, Computers Portfolio Volatility and Computers Portfolio Alpha and Beta module to complement your research on Computers Portfolio. You can also try the Aroon Oscillator module to analyze current equity momentum using Aroon Oscillator and other momentum ratios.
Computers 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.