Financial Services Fund Market Value
| RYFAX Fund | USD 70.96 0.06 0.08% |
| 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.
| 03/25/2024 |
| 04/24/2024 |
If you would invest 0.00 in Financial Services on March 25, 2024 and sell it all today you would earn a total of 0.00 from holding Financial Services Fund or generate 0.0% return on investment in Financial Services over 30 days. Financial Services is related to or competes with Financial Industries, and Financial Industries. The fund invests substantially all of its net assets in equity securities of Financial Services Companies that are trade... 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 Fund upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.01 | |||
| Information Ratio | (0.03) | |||
| Maximum Drawdown | 3.84 | |||
| Value At Risk | (1.39) | |||
| 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 | 0.0597 | |||
| Jensen Alpha | (0.03) | |||
| Total Risk Alpha | (0.05) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | 0.0559 |
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
We consider Financial Services very steady. Financial Services secures Sharpe Ratio (or Efficiency) of 0.0767, which denotes the fund had a 0.0767% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Financial Services Fund, which you can use to evaluate the volatility of the entity. Please confirm Financial Services' Mean Deviation of 0.5899, coefficient of variation of 1082.51, and Downside Deviation of 1.01 to check if the risk estimate we provide is consistent with the expected return of 0.0618%. The fund shows a Beta (market volatility) of 1.13, which means a somewhat significant risk relative to the market. Financial Services returns are very sensitive to returns on the market. As the market goes up or down, Financial Services is expected to follow.
Auto-correlation | 0.13 |
Insignificant predictability
Financial Services Fund has insignificant predictability. Overlapping area represents the amount of predictability between Financial Services 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 Financial Services price movement. The serial correlation of 0.13 indicates that less than 13.0% of current Financial Services price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.13 | |
| Spearman Rank Test | 0.54 | |
| Residual Average | 0.0 | |
| Price Variance | 1.49 |
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 Fund.
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 Financial Services 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, Financial Services' short interest history, or implied volatility extrapolated from Financial Services options trading.
Currently Active Assets on Macroaxis
Check out Financial Services Correlation, Financial Services Volatility and Financial Services Alpha and Beta module to complement your research on Financial Services. Note that the Financial Services information on this page should be used as a complementary analysis to other Financial Services' 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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
Financial Services 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.