Pfg Fidelity Institutional Fund Market Value
| PFFFX Fund | USD 13.57 0.16 1.19% |
| Symbol | Pfg |
Pfg Fidelity '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 Pfg Fidelity'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 Pfg Fidelity.
| 03/25/2024 |
| 04/24/2024 |
If you would invest 0.00 in Pfg Fidelity on March 25, 2024 and sell it all today you would earn a total of 0.00 from holding Pfg Fidelity Institutional or generate 0.0% return on investment in Pfg Fidelity over 30 days. Pfg Fidelity is related to or competes with Riskproreg Pfg, Pfg American, Pfg Br, Riskproreg; Dynamic, Pfg American, Pfg Fidelity, and Pfg Fidelity. The fund, under normal circumstances, will invest at least 80 percent of its net assets, plus any amounts of borrowing, in Fidelity mutual funds and Fidelity exchange traded funds . More
Pfg Fidelity 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 Pfg Fidelity'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 Pfg Fidelity Institutional upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.7247 | |||
| Information Ratio | (0.03) | |||
| Maximum Drawdown | 3.23 | |||
| Value At Risk | (1.15) | |||
| Potential Upside | 1.02 |
Pfg Fidelity Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Pfg Fidelity's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Pfg Fidelity's standard deviation. In reality, there are many statistical measures that can use Pfg Fidelity historical prices to predict the future Pfg Fidelity's volatility.| Risk Adjusted Performance | 0.0611 | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.03) | |||
| Sortino Ratio | (0.03) | |||
| Treynor Ratio | 0.0568 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Pfg Fidelity'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.
Pfg Fidelity Institu Backtested Returns
We consider Pfg Fidelity very steady. Pfg Fidelity Institu maintains Sharpe Ratio (i.e., Efficiency) of 0.0802, which implies the entity had a 0.0802% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Pfg Fidelity Institu, which you can use to evaluate the volatility of the fund. Please check Pfg Fidelity's Risk Adjusted Performance of 0.0611, coefficient of variation of 1024.42, and Semi Deviation of 0.6479 to confirm if the risk estimate we provide is consistent with the expected return of 0.0569%. The fund holds a Beta of 1.0, which implies a somewhat significant risk relative to the market. Pfg Fidelity returns are very sensitive to returns on the market. As the market goes up or down, Pfg Fidelity is expected to follow.
Auto-correlation | 0.57 |
Modest predictability
Pfg Fidelity Institutional has modest predictability. Overlapping area represents the amount of predictability between Pfg Fidelity time series from 25th of March 2024 to 9th of April 2024 and 9th of April 2024 to 24th 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 Pfg Fidelity Institu price movement. The serial correlation of 0.57 indicates that roughly 57.0% of current Pfg Fidelity price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.57 | |
| Spearman Rank Test | 0.17 | |
| Residual Average | 0.0 | |
| Price Variance | 0.04 |
Pfg Fidelity Institu lagged returns against current returns
Autocorrelation, which is Pfg Fidelity 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 Pfg Fidelity's mutual fund expected returns. We can calculate the autocorrelation of Pfg Fidelity returns to help us make a trade decision. For example, suppose you find that Pfg Fidelity 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 |
Pfg Fidelity 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 Pfg Fidelity mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Pfg Fidelity mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Pfg Fidelity mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Pfg Fidelity Lagged Returns
When evaluating Pfg Fidelity's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Pfg Fidelity mutual fund have on its future price. Pfg Fidelity 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, Pfg Fidelity autocorrelation shows the relationship between Pfg Fidelity mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Pfg Fidelity Institutional.
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 Pfg Fidelity 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, Pfg Fidelity's short interest history, or implied volatility extrapolated from Pfg Fidelity options trading.
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Check out Pfg Fidelity Correlation, Pfg Fidelity Volatility and Pfg Fidelity Alpha and Beta module to complement your research on Pfg Fidelity. Note that the Pfg Fidelity Institu information on this page should be used as a complementary analysis to other Pfg Fidelity'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 Investing Opportunities module to build portfolios using our predefined set of ideas and optimize them against your investing preferences.
Pfg Fidelity 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.