Banking Fund Class Fund Market Value

RYKAX Fund  USD 86.80  0.83  0.95%   
Banking Fund's market value is the price at which a share of Banking Fund trades on a public exchange. It measures the collective expectations of Banking Fund Class investors about its performance. Banking Fund is trading at 86.80 as of the 30th of December 2024; that is 0.95 percent decrease since the beginning of the trading day. The fund's open price was 87.63.
With this module, you can estimate the performance of a buy and hold strategy of Banking Fund Class and determine expected loss or profit from investing in Banking Fund over a given investment horizon. Check out Banking Fund Correlation, Banking Fund Volatility and Banking Fund Alpha and Beta module to complement your research on Banking Fund.
Symbol

Please note, there is a significant difference between Banking Fund's value and its price as these two are different measures arrived at by different means. Investors typically determine if Banking Fund is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Banking Fund's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.

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.
0.00
10/01/2024
No Change 0.00  0.0 
In 3 months and 1 day
12/30/2024
0.00
If you would invest  0.00  in Banking Fund on October 1, 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 Dreyfus/standish, Artisan Global, Nuveen Global, Barings Global, Morgan Stanley, and Nationwide Global. The investment seeks to provide capital appreciation by investing in companies that are involved in the banking sector, ... 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.

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.
Hype
Prediction
LowEstimatedHigh
84.9586.8088.65
Details
Intrinsic
Valuation
LowRealHigh
85.8287.6789.52
Details
Naive
Forecast
LowNextHigh
86.8388.6890.52
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
82.7592.19101.64
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Banking Fund. Your research has to be compared to or analyzed against Banking Fund's peers to derive any actionable benefits. When done correctly, Banking Fund's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Banking Fund Class.

Banking Fund Class Backtested Returns

At this stage we consider Banking Mutual Fund to be very steady. Banking Fund Class secures Sharpe Ratio (or Efficiency) of 0.0591, which signifies that the fund had a 0.0591% return per unit of risk over the last 3 months. We have found twenty-eight 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 0.0528, downside deviation of 1.46, and Mean Deviation of 1.07 to double-check if the risk estimate we provide is consistent with the expected return of 0.11%. The fund shows a Beta (market volatility) of 1.83, which signifies a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Banking Fund will likely underperform.

Auto-correlation

    
  -0.58  

Good reverse predictability

Banking Fund Class has good reverse predictability. Overlapping area represents the amount of predictability between Banking Fund time series from 1st of October 2024 to 15th of November 2024 and 15th of November 2024 to 30th of December 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 Class price movement. The serial correlation of -0.58 indicates that roughly 58.0% of current Banking Fund price fluctuation can be explain by its past prices.
Correlation Coefficient-0.58
Spearman Rank Test-0.62
Residual Average0.0
Price Variance19.55

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  

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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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