Income Fund Institutional Fund Market Value

FOIPX Fund  USD 9.24  0.03  0.33%   
Income Fund's market value is the price at which a share of Income Fund trades on a public exchange. It measures the collective expectations of Income Fund Institutional investors about its performance. Income Fund is trading at 9.24 as of the 30th of November 2024; that is 0.33 percent up since the beginning of the trading day. The fund's open price was 9.21.
With this module, you can estimate the performance of a buy and hold strategy of Income Fund Institutional and determine expected loss or profit from investing in Income Fund over a given investment horizon. Check out Income Fund Correlation, Income Fund Volatility and Income Fund Alpha and Beta module to complement your research on Income Fund.
Symbol

Please note, there is a significant difference between Income Fund's value and its price as these two are different measures arrived at by different means. Investors typically determine if Income Fund is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Income 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.

Income 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 Income 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 Income Fund.
0.00
10/31/2024
No Change 0.00  0.0 
In 30 days
11/30/2024
0.00
If you would invest  0.00  in Income Fund on October 31, 2024 and sell it all today you would earn a total of 0.00 from holding Income Fund Institutional or generate 0.0% return on investment in Income Fund over 30 days. Income Fund is related to or competes with Tributary Small/mid, Tributary Small/mid, Balanced Fund, Balanced Fund, Income Fund, and Tributary Nebraska. Under normal market conditions, the Advisor intends to invest primarily all, but must invest at least 80, of its net ass... More

Income 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 Income 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 Income Fund Institutional upside and downside potential and time the market with a certain degree of confidence.

Income Fund Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Income Fund's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Income Fund's standard deviation. In reality, there are many statistical measures that can use Income Fund historical prices to predict the future Income Fund's volatility.
Hype
Prediction
LowEstimatedHigh
8.929.249.56
Details
Intrinsic
Valuation
LowRealHigh
8.618.939.25
Details
Naive
Forecast
LowNextHigh
8.969.279.59
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
9.079.179.27
Details

Income Fund Institutional Backtested Returns

Income Fund Institutional holds Efficiency (Sharpe) Ratio of -0.0356, which attests that the entity had a -0.0356% return per unit of risk over the last 3 months. Income Fund Institutional exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Income Fund's Market Risk Adjusted Performance of 0.2673, risk adjusted performance of (0.03), and Standard Deviation of 0.3177 to validate the risk estimate we provide. The fund retains a Market Volatility (i.e., Beta) of -0.0687, which attests to not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Income Fund are expected to decrease at a much lower rate. During the bear market, Income Fund is likely to outperform the market.

Auto-correlation

    
  -0.34  

Poor reverse predictability

Income Fund Institutional has poor reverse predictability. Overlapping area represents the amount of predictability between Income Fund time series from 31st of October 2024 to 15th of November 2024 and 15th of November 2024 to 30th 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 Income Fund Institutional price movement. The serial correlation of -0.34 indicates that nearly 34.0% of current Income Fund price fluctuation can be explain by its past prices.
Correlation Coefficient-0.34
Spearman Rank Test-0.09
Residual Average0.0
Price Variance0.0

Income Fund Institutional lagged returns against current returns

Autocorrelation, which is Income 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 Income Fund's mutual fund expected returns. We can calculate the autocorrelation of Income Fund returns to help us make a trade decision. For example, suppose you find that Income 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  

Income 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 Income Fund mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Income 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 Income Fund mutual fund over time.
   Current vs Lagged Prices   
       Timeline  

Income Fund Lagged Returns

When evaluating Income Fund's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Income Fund mutual fund have on its future price. Income 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, Income Fund autocorrelation shows the relationship between Income Fund mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Income Fund Institutional.
   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 Income Mutual Fund

Income Fund financial ratios help investors to determine whether Income 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 Income with respect to the benefits of owning Income Fund security.
Funds Screener
Find actively-traded funds from around the world traded on over 30 global exchanges
Portfolio File Import
Quickly import all of your third-party portfolios from your local drive in csv format
Cryptocurrency Center
Build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency