Financial Services Portfolio Fund Market Value
| SFPCX Fund | USD 10.47 0.01 0.1% |
| Symbol | Financial |
Financial Services '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 Financial Services' 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 Financial Services.
| 06/04/2024 |
| 12/01/2024 |
If you would invest 0.00 in Financial Services on June 4, 2024 and sell it all today you would earn a total of 0.00 from holding Financial Services Portfolio or generate 0.0% return on investment in Financial Services over 180 days. Financial Services is related to or competes with Salient Alternative, Aggressive Balanced, Salient Alternative, Moderately Aggressive, Salient Mlp, Moderately Aggressive, and Small Capitalization. The fund will normally invest at least 80 percent of its total assets in U.S More
Financial Services 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 Financial Services' 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 Financial Services Portfolio upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.7803 | |||
| Information Ratio | 0.0982 | |||
| Maximum Drawdown | 8.57 | |||
| Value At Risk | (1.16) | |||
| Potential Upside | 1.81 |
Financial Services Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Financial Services' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Financial Services' standard deviation. In reality, there are many statistical measures that can use Financial Services historical prices to predict the future Financial Services' volatility.| Risk Adjusted Performance | 0.1694 | |||
| Jensen Alpha | 0.0778 | |||
| Total Risk Alpha | 0.0482 | |||
| Sortino Ratio | 0.1456 | |||
| Treynor Ratio | 0.1884 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Financial Services' 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.
Financial Services Backtested Returns
Financial Services appears to be very steady, given 3 months investment horizon. Financial Services secures Sharpe Ratio (or Efficiency) of 0.21, which denotes the fund had a 0.21% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Financial Services Portfolio, which you can use to evaluate the volatility of the entity. Please utilize Financial Services' Mean Deviation of 0.7661, downside deviation of 0.7803, and Coefficient Of Variation of 460.36 to check if our risk estimates are consistent with your expectations. The fund shows a Beta (market volatility) of 1.28, which means 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, Financial Services will likely underperform.
Auto-correlation | 0.83 |
Very good predictability
Financial Services Portfolio has very good predictability. Overlapping area represents the amount of predictability between Financial Services time series from 4th of June 2024 to 2nd of September 2024 and 2nd of September 2024 to 1st of December 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 Financial Services price movement. The serial correlation of 0.83 indicates that around 83.0% of current Financial Services price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.83 | |
| Spearman Rank Test | 0.83 | |
| Residual Average | 0.0 | |
| Price Variance | 0.26 |
Financial Services lagged returns against current returns
Autocorrelation, which is Financial Services 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 Financial Services' mutual fund expected returns. We can calculate the autocorrelation of Financial Services returns to help us make a trade decision. For example, suppose you find that Financial Services 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 |
Financial Services 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 Financial Services mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Financial Services mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Financial Services mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Financial Services Lagged Returns
When evaluating Financial Services' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Financial Services mutual fund have on its future price. Financial Services 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, Financial Services autocorrelation shows the relationship between Financial Services mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Financial Services Portfolio.
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 Financial Mutual Fund
Financial Services financial ratios help investors to determine whether Financial 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 Financial with respect to the benefits of owning Financial Services security.
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