Income Mutual Fund Market Value

RIDGX
 Fund
  

USD 23.79  0.02  0.08%   

Income Fund's market value is the price at which a share of Income Fund stock trades on a public exchange. It measures the collective expectations of The Income Fund investors about the entity's future performance. With this module, you can estimate the performance of a buy and hold strategy of The Income Fund and determine expected loss or profit from investing in Income Fund over a given investment horizon. Additionally, take a look at Income Fund Hype Analysis, Income Fund Correlation, Portfolio Optimization, Income Fund Volatility, as well as analyze Income Fund Alpha and Beta and Income Fund Performance.
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 Income Fund value 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
07/10/2022
No Change 0.00  0.0 
In 31 days
08/09/2022
0.00
If you would invest  0.00  in Income Fund on July 10, 2022 and sell it all today you would earn a total of 0.00 from holding The Income Fund or generate 0.0% return on investment in Income Fund over 30 days. Income Fund is related to or competes with Exxon. Normally the fund invests primarily in income-producing securitiesMore

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 The Income Fund 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.
Sophisticated investors, who have witnessed many market ups and downs, frequently view the market will even out over time. This tendency of Income Fund's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy. Please use the tools below to analyze the current value of Income Fund in the context of predictive analytics.
Hype
Prediction
LowEstimated ValueHigh
23.1223.7624.40
Details
Intrinsic
Valuation
LowReal ValueHigh
22.8423.4824.12
Details
Naive
Forecast
LowNext ValueHigh
23.3824.0224.66
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
22.7223.3423.96
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Income Fund. Your research has to be compared to or analyzed against Income Fund's peers to derive any actionable benefits. When done correctly, Income Fund's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy towards taking a position in Income Fund.

Income Fund Backtested Returns

We consider Income Fund very steady. Income Fund holds Efficiency (Sharpe) Ratio of 0.057, which attests that the entity had 0.057% of return per unit of risk over the last 24 months. Our standpoint towards determining the volatility of a fund is to use all available market data together with fund-specific technical indicators that cannot be diversified away. We have found twenty-one technical indicators for Income Fund, which you can use to evaluate the future volatility of the entity. Please check out Income Fund Risk Adjusted Performance of 0.0549, market risk adjusted performance of (8.67), and Downside Deviation of 0.692 to validate if the risk estimate we provide is consistent with the expected return of 0.0363%.
The fund retains a Market Volatility (i.e., Beta) of -0.0033, which attests to not very significant fluctuations relative to the market. Let's try to break down what Income's beta means in this case. 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. Although it is important to respect Income Fund current price history, it is better to be realistic regarding the information on the equity's current price movements. The philosophy towards determining future performance of any fund is to evaluate the business as a whole together with its past performance, including all available fundamental and technical indicators. By evaluating Income Fund technical indicators, you can presently evaluate if the expected return of 0.0363% will be sustainable into the future.

Auto-correlation

    
  0.27  

Poor predictability

The Income Fund has poor predictability. Overlapping area represents the amount of predictability between Income Fund time series from 10th of July 2022 to 25th of July 2022 and 25th of July 2022 to 9th of August 2022. 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 price movement. The serial correlation of 0.27 indicates that nearly 27.0% of current Income Fund price fluctuation can be explain by its past prices.
Correlation Coefficient0.27
Spearman Rank Test0.27
Residual Average0.0
Price Variance0.03

Income Fund 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 mutual fund has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the stock movement to match the lagging time series.
   Current and Lagged Values   
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       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   
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       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 The Income Fund.
   Regressed Prices   
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       Timeline  

Income Fund Investors Sentiment

The influence of Income Fund's investor sentiment on the probability of its price appreciation or decline could be a good factor in your decision-making process regarding taking a position in Income. The overall investor sentiment generally increases the direction of a stock movement in a one-year investment horizon. However, the impact of investor sentiment on the entire stock markets does not have a solid backing from leading economists and market statisticians.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Income Fund in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Income Fund's short interest history, or implied volatility extrapolated from Income Fund options trading.

Currently Active Assets on Macroaxis

Additionally, take a look at Income Fund Hype Analysis, Income Fund Correlation, Portfolio Optimization, Income Fund Volatility, as well as analyze Income Fund Alpha and Beta and Income Fund Performance. Note that the Income Fund information on this page should be used as a complementary analysis to other Income Fund's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try Equity Search module to search for actively traded equities including funds and ETFs from over 30 global markets.

Complementary Tools for Income Mutual Fund analysis

When running Income Fund price analysis, check to measure Income Fund's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Income Fund is operating at the current time. Most of Income Fund's value examination focuses on studying past and present price action to predict the probability of Income Fund's future price movements. You can analyze the entity against its peers and financial market as a whole to determine factors that move Income Fund's price. Additionally, you may evaluate how the addition of Income Fund to your portfolios can decrease your overall portfolio volatility.
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Income 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, stock market cycles, or different charting patterns.
A focus of Income Fund technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Income Fund trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...