Banking Fund Class Fund Price on December 9, 2024
RYKCX Fund | USD 78.40 4.10 4.97% |
Below is the normalized historical share price chart for Banking Fund Class extending back to June 09, 2003. This chart has been adjusted for all splits and dividends and is plotted against all major global economic recessions. As of today, the current price of Banking Fund stands at 78.40, as last reported on the 12th of December 2024, with the highest price reaching 78.40 and the lowest price hitting 78.40 during the day.
If you're considering investing in Banking Mutual Fund, it is important to understand the factors that can impact its price. At this stage we consider Banking Mutual Fund to be very steady. Banking Fund Class secures Sharpe Ratio (or Efficiency) of 0.0948, which signifies that the fund had a 0.0948% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Banking Fund Class, which you can use to evaluate the volatility of the entity. Please confirm Banking Fund's Risk Adjusted Performance of 0.0836, downside deviation of 1.32, and Mean Deviation of 1.08 to double-check if the risk estimate we provide is consistent with the expected return of 0.17%.
Banking Mutual Fund price history is provided at the adjusted basis, taking into account all of the recent filings.
Banking |
Sharpe Ratio = 0.0948
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Estimated Market Risk
1.81 actual daily | 16 84% of assets are more volatile |
Expected Return
0.17 actual daily | 3 97% of assets have higher returns |
Risk-Adjusted Return
0.09 actual daily | 7 93% of assets perform better |
Based on monthly moving average Banking Fund is performing at about 7% of its full potential. If added to a well diversified portfolio the total return can be enhanced and market risk can be reduced. You can increase risk-adjusted return of Banking Fund by adding it to a well-diversified portfolio.
Banking Fund Valuation on December 9, 2024
It is possible to determine the worth of Banking Fund on a given historical date. On December 9, 2024 Banking was worth 82.45 at the beginning of the trading date compared to the closed value of 82.45. We use multiple weighted factors in our valuation methodologies to arrive at the intrinsic value of Banking Fund mutual fund. Still, in general, we apply an absolute valuation method to find Banking Fund's value based on its fundamental and technical indicators available within our service. As compared to an absolute model, our relative valuation model uses a comparative analysis of Banking Fund where we calculate exposure to its market risk and evaluate relevant financial multiples and ratios against Banking Fund's related companies.
Open | High | Low | Close | Volume | |
83.51 | 83.51 | 83.51 | 83.51 | 1.00 | |
12/09/2024 | 82.45 | 82.45 | 82.45 | 82.45 | 1.00 |
82.32 | 82.32 | 82.32 | 82.32 | 1.00 |
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Banking Fund Trading Date Momentum on December 9, 2024
On December 10 2024 Banking Fund Class was traded for 82.32 at the closing time. The highest daily price throughout the period was 82.32 and the lowest price was 82.32 . There was no trading activity during the period 1.0. Lack of trading volume on 12/10/2024 added to the next day price reduction. The trading delta at closing time to closing price of the next trading day was 0.16% . The overall trading delta to current closing price is 4.91% . |
Banking Fund Class Fundamentals Correlations and Trends
By evaluating Banking Fund's financials over time, investors can gain insight into future company performance. However, you can also analyze the published financial statements to find patterns among Banking Fund's main balance sheet or income statement drivers and many other relevant indicators that can statistically be found significantly correlated or uncorrelated. Banking financial account trend analysis is a perfect complement when working with valuation or volatility modules.About Banking Fund Mutual Fund history
Banking Fund investors dedicate a lot of time and effort to gaining insight into how a market's past behavior relates to its future. Access to timely market data for Banking is vital when making an investment decision, and regardless of whether you use fundamental or technical analysis, your return on investment in Banking Fund Class will depend on recognizing future opportunities and eliminating past mistakes. Historical data analysis is the study of market behavior over a given time. Recorded market-related data such as price, volatility, and volume can be quantified and studied over a defined period. Through a detailed examination of a market's past behavior, traders and investors can gain perspective on the inner workings of that market. The information obtained throughout analyzing Banking Fund stock prices may prove useful in developing a viable investing in Banking Fund
The fund invests substantially all of its net assets in equity securities of Banking Companies that are traded in the United States and in derivatives, which primarily consist of futures contracts and options on securities, futures contracts, and stock indices. It may invest to a significant extent in the securities of Banking Companies that have small to mid-sized capitalizations.
Banking Fund Mutual Fund Technical Analysis
Banking Fund 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.
Price Boundaries
Banking Fund Period Price Range
Low | December 12, 2024
| High |
0.00 | 0.00 |
Banking Fund Class cannot be verified against its exchange. Please verify the symbol is currently traded on NMFQS Exchange. If you still believe the symbol you are trying to look up is valid, please let us know, and we will check it as soon as possible.
Banking Fund December 12, 2024 Market Strength
Market strength indicators help investors to evaluate how Banking Fund mutual fund reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Banking Fund shares will generate the highest return on investment. By undertsting and applying Banking Fund mutual fund market strength indicators, traders can identify Banking Fund Class entry and exit signals to maximize returns
Banking Fund Technical and Predictive Indicators
Predictive indicators are helping investors to find signals for Banking Fund's price direction in advance. Along with the technical and fundamental analysis of Banking Mutual Fund historical price patterns, it is also worthwhile for investors to track various predictive indicators of Banking to make sure they correctly time the market and exploit it's hidden potentials. Even though most predictive indicators are useful for the short-term horizon, it's virtually impossible to predict the unforeseen market. For traders with a short-term horizon, predictive indicators add value when properly applied. Long-term investors, however, may find many predictive indicators less useful.
Risk Adjusted Performance | 0.0836 | |||
Jensen Alpha | (0.02) | |||
Total Risk Alpha | (0.07) | |||
Sortino Ratio | 0.06 | |||
Treynor Ratio | 0.0937 |
Cycle Indicators | ||
Math Operators | ||
Math Transform | ||
Momentum Indicators | ||
Overlap Studies | ||
Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
Volatility Indicators | ||
Volume Indicators |
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.
Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum | |
Performance Analysis Check effects of mean-variance optimization against your current asset allocation | |
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Portfolio Rebalancing Analyze risk-adjusted returns against different time horizons to find asset-allocation targets |