Banking Fund Class Fund Market Value
| RYKAX Fund | USD 82.83 2.49 3.10% |
| Symbol | Banking |
Banking Fund '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 Banking Fund'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 Banking Fund.
| 12/15/2024 |
| 03/15/2025 |
If you would invest 0.00 in Banking Fund on December 15, 2024 and sell it all today you would earn a total of 0.00 from holding Banking Fund Class or generate 0.0% return on investment in Banking Fund over 90 days. Banking Fund is related to or competes with Transamerica Short-term, Angel Oak, and T Rowe. The fund invests substantially all of its net assets in equity securities of Banking Companies that are traded in the Un... More
Banking Fund 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 Banking Fund'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 Banking Fund Class upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.06) | |||
| Maximum Drawdown | 6.98 | |||
| Value At Risk | (2.50) | |||
| Potential Upside | 1.28 |
Banking Fund Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Banking Fund's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Banking Fund's standard deviation. In reality, there are many statistical measures that can use Banking Fund historical prices to predict the future Banking Fund's volatility.| Risk Adjusted Performance | (0.13) | |||
| Jensen Alpha | (0.09) | |||
| Total Risk Alpha | 0.0033 | |||
| Treynor Ratio | (0.23) |
Banking Fund Class Backtested Returns
Banking Fund Class secures Sharpe Ratio (or Efficiency) of -0.1, which signifies that the fund had a -0.1 % return per unit of risk over the last 3 months. Banking Fund Class exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Banking Fund's Standard Deviation of 1.32, risk adjusted performance of (0.13), and Mean Deviation of 0.9551 to double-check the risk estimate we provide. The fund shows a Beta (market volatility) of 0.94, which signifies possible diversification benefits within a given portfolio. Banking Fund returns are very sensitive to returns on the market. As the market goes up or down, Banking Fund is expected to follow.
Auto-correlation | -0.75 |
Almost perfect reverse predictability
Banking Fund Class has almost perfect reverse predictability. Overlapping area represents the amount of predictability between Banking Fund time series from 15th of December 2024 to 29th of January 2025 and 29th of January 2025 to 15th of March 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 Banking Fund Class price movement. The serial correlation of -0.75 indicates that around 75.0% of current Banking Fund price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.75 | |
| Spearman Rank Test | -0.46 | |
| Residual Average | 0.0 | |
| Price Variance | 14.16 |
Banking Fund Class lagged returns against current returns
Autocorrelation, which is Banking Fund 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 Banking Fund's mutual fund expected returns. We can calculate the autocorrelation of Banking Fund returns to help us make a trade decision. For example, suppose you find that Banking Fund 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 |
Banking Fund 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 Banking Fund mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Banking Fund mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Banking Fund mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Banking Fund Lagged Returns
When evaluating Banking Fund's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Banking Fund mutual fund have on its future price. Banking Fund 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, Banking Fund autocorrelation shows the relationship between Banking Fund mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Banking Fund Class.
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 Banking Mutual Fund
Banking Fund financial ratios help investors to determine whether Banking 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 Banking with respect to the benefits of owning Banking Fund security.
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