Financial Services Portfolio Fund Market Value
| SFPCX Fund | USD 9.54 0.01 0.10% |
| 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.
| 01/28/2025 |
| 02/27/2025 |
If you would invest 0.00 in Financial Services on January 28, 2025 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 30 days. Financial Services is related to or competes with Teton Convertible, Invesco Convertible, Calamos Convertible, Forum Funds, Lord Abbett, Harbor Convertible, and Franklin Convertible. 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.
| Information Ratio | (0.07) | |||
| Maximum Drawdown | 7.5 | |||
| Value At Risk | (1.75) | |||
| Potential Upside | 1.21 |
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 | (0.05) | |||
| Jensen Alpha | (0.09) | |||
| Total Risk Alpha | (0.08) | |||
| Treynor Ratio | (0.12) |
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 secures Sharpe Ratio (or Efficiency) of -0.12, which denotes the fund had a -0.12 % return per unit of risk over the last 3 months. Financial Services Portfolio exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Financial Services' Mean Deviation of 0.7371, variance of 1.4, and Standard Deviation of 1.18 to check the risk estimate we provide. The fund shows a Beta (market volatility) of 0.79, which means possible diversification benefits within a given portfolio. As returns on the market increase, Financial Services' returns are expected to increase less than the market. However, during the bear market, the loss of holding Financial Services is expected to be smaller as well.
Auto-correlation | -0.16 |
Insignificant reverse predictability
Financial Services Portfolio has insignificant reverse predictability. Overlapping area represents the amount of predictability between Financial Services time series from 28th of January 2025 to 12th of February 2025 and 12th of February 2025 to 27th of February 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 Financial Services price movement. The serial correlation of -0.16 indicates that over 16.0% of current Financial Services price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.16 | |
| Spearman Rank Test | -0.09 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
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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