Banking Fund Class Fund Market Value

RYBKX Fund  USD 91.38  0.24  0.26%   
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 91.38 as of the 26th of February 2025; that is 0.26% down since the beginning of the trading day. The fund's open price was 91.62.
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
01/27/2025
No Change 0.00  0.0 
In 31 days
02/26/2025
0.00
If you would invest  0.00  in Banking Fund on January 27, 2025 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 30 days. Banking Fund is related to or competes with Calvert Global, Transamerica Mlp, Salient Mlp, and Pimco Energy. 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.

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
90.1791.3892.59
Details
Intrinsic
Valuation
LowRealHigh
83.2084.41100.52
Details
Naive
Forecast
LowNextHigh
89.7390.9492.15
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
91.2994.8498.40
Details

Banking Fund Class Backtested Returns

Banking Fund Class secures Sharpe Ratio (or Efficiency) of -0.0815, which signifies that the fund had a -0.0815 % return per unit of risk over the last 3 months. Banking Fund Class exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Banking Fund's Mean Deviation of 0.8816, standard deviation of 1.2, and Risk Adjusted Performance of (0.02) 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

    
  -0.68  

Very good reverse predictability

Banking Fund Class has very good reverse predictability. Overlapping area represents the amount of predictability between Banking Fund time series from 27th of January 2025 to 11th of February 2025 and 11th of February 2025 to 26th of February 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 -0.68 indicates that around 68.0% of current Banking Fund price fluctuation can be explain by its past prices.
Correlation Coefficient-0.68
Spearman Rank Test-0.21
Residual Average0.0
Price Variance3.35

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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