Miller Income Fund Market Value

LMCKX Fund  USD 9.24  0.13  1.39%   
Miller Income's market value is the price at which a share of Miller Income trades on a public exchange. It measures the collective expectations of Miller Income Fund investors about its performance. Miller Income is trading at 9.24 as of the 27th of November 2024; that is 1.39 percent decrease since the beginning of the trading day. The fund's open price was 9.37.
With this module, you can estimate the performance of a buy and hold strategy of Miller Income Fund and determine expected loss or profit from investing in Miller Income over a given investment horizon. Check out Miller Income Correlation, Miller Income Volatility and Miller Income Alpha and Beta module to complement your research on Miller Income.
Symbol

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

Miller Income '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 Miller Income'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 Miller Income.
0.00
10/28/2024
No Change 0.00  0.0 
In 31 days
11/27/2024
0.00
If you would invest  0.00  in Miller Income on October 28, 2024 and sell it all today you would earn a total of 0.00 from holding Miller Income Fund or generate 0.0% return on investment in Miller Income over 30 days. Miller Income is related to or competes with Ab Small, Volumetric Fund, Artisan Thematic, Balanced Fund, Omni Small-cap, Ab Value, and Shelton Funds. Under normal market conditions, the fund will invest without limit primarily in cash distributing equity, and equity-lik... More

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

Miller Income Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Miller Income's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Miller Income's standard deviation. In reality, there are many statistical measures that can use Miller Income historical prices to predict the future Miller Income's volatility.
Hype
Prediction
LowEstimatedHigh
8.049.2410.44
Details
Intrinsic
Valuation
LowRealHigh
8.449.6410.84
Details
Naive
Forecast
LowNextHigh
7.999.1910.39
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
9.249.249.24
Details

Miller Income Backtested Returns

Miller Income appears to be not too volatile, given 3 months investment horizon. Miller Income has Sharpe Ratio of 0.18, which conveys that the entity had a 0.18% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Miller Income, which you can use to evaluate the volatility of the fund. Please exercise Miller Income's Downside Deviation of 0.7801, risk adjusted performance of 0.1404, and Mean Deviation of 0.8842 to check out if our risk estimates are consistent with your expectations. The fund secures a Beta (Market Risk) of 1.13, which conveys a somewhat significant risk relative to the market. Miller Income returns are very sensitive to returns on the market. As the market goes up or down, Miller Income is expected to follow.

Auto-correlation

    
  0.74  

Good predictability

Miller Income Fund has good predictability. Overlapping area represents the amount of predictability between Miller Income time series from 28th of October 2024 to 12th of November 2024 and 12th of November 2024 to 27th 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 Miller Income price movement. The serial correlation of 0.74 indicates that around 74.0% of current Miller Income price fluctuation can be explain by its past prices.
Correlation Coefficient0.74
Spearman Rank Test0.72
Residual Average0.0
Price Variance0.02

Miller Income lagged returns against current returns

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

Miller Income 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 Miller Income mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Miller Income mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Miller Income mutual fund over time.
   Current vs Lagged Prices   
       Timeline  

Miller Income Lagged Returns

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

Miller Income financial ratios help investors to determine whether Miller 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 Miller with respect to the benefits of owning Miller Income security.
Technical Analysis
Check basic technical indicators and analysis based on most latest market data
Fundamental Analysis
View fundamental data based on most recent published financial statements
AI Portfolio Architect
Use AI to generate optimal portfolios and find profitable investment opportunities
Equity Forecasting
Use basic forecasting models to generate price predictions and determine price momentum