Banking Fund Investor Fund Market Value
| RYKIX Fund | USD 115.37 0.69 0.60% |
| 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.
| 12/09/2022 |
| 11/28/2024 |
If you would invest 0.00 in Banking Fund on December 9, 2022 and sell it all today you would earn a total of 0.00 from holding Banking Fund Investor or generate 0.0% return on investment in Banking Fund over 720 days. Banking Fund is related to or competes with HUMANA, Barloworld, Morningstar Unconstrained, Thrivent High, and High-yield Municipal. 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 Investor upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.05 | |||
| Information Ratio | 0.0879 | |||
| Maximum Drawdown | 12.77 | |||
| Value At Risk | (1.98) | |||
| Potential Upside | 2.45 |
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 | 0.1313 | |||
| Jensen Alpha | 0.2873 | |||
| Total Risk Alpha | 0.0019 | |||
| Sortino Ratio | 0.1419 | |||
| Treynor Ratio | (1.88) |
Banking Fund Investor Backtested Returns
Banking Fund appears to be very steady, given 3 months investment horizon. Banking Fund Investor secures Sharpe Ratio (or Efficiency) of 0.16, which signifies that the fund had a 0.16% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Banking Fund Investor, which you can use to evaluate the volatility of the entity. Please makes use of Banking Fund's Risk Adjusted Performance of 0.1313, mean deviation of 1.09, and Downside Deviation of 1.05 to double-check if our risk estimates are consistent with your expectations. The fund shows a Beta (market volatility) of -0.14, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Banking Fund are expected to decrease at a much lower rate. During the bear market, Banking Fund is likely to outperform the market.
Auto-correlation | -0.36 |
Poor reverse predictability
Banking Fund Investor has poor reverse predictability. Overlapping area represents the amount of predictability between Banking Fund time series from 9th of December 2022 to 4th of December 2023 and 4th of December 2023 to 28th of November 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 Banking Fund Investor price movement. The serial correlation of -0.36 indicates that just about 36.0% of current Banking Fund price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.36 | |
| Spearman Rank Test | -0.43 | |
| Residual Average | 0.0 | |
| Price Variance | 68.94 |
Banking Fund Investor 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 Investor.
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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