Shelton Green Alpha Fund Market Value

NEXIX Fund  USD 34.01  0.03  0.09%   
Shelton Green's market value is the price at which a share of Shelton Green trades on a public exchange. It measures the collective expectations of Shelton Green Alpha investors about its performance. Shelton Green is trading at 32.84 as of the 3rd of December 2024; that is 0.09 percent down since the beginning of the trading day. The fund's open price was 34.04.
With this module, you can estimate the performance of a buy and hold strategy of Shelton Green Alpha and determine expected loss or profit from investing in Shelton Green over a given investment horizon. Check out Shelton Green Correlation, Shelton Green Volatility and Shelton Green Alpha and Beta module to complement your research on Shelton Green.
Symbol

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

Shelton Green '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 Shelton Green'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 Shelton Green.
0.00
11/03/2024
No Change 0.00  0.0 
In 30 days
12/03/2024
0.00
If you would invest  0.00  in Shelton Green on November 3, 2024 and sell it all today you would earn a total of 0.00 from holding Shelton Green Alpha or generate 0.0% return on investment in Shelton Green over 30 days. Shelton Green is related to or competes with Artisan High, Calamos Dynamic, T Rowe, Maryland Tax-free, The National, and Bbh Intermediate. More

Shelton Green 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 Shelton Green'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 Shelton Green Alpha upside and downside potential and time the market with a certain degree of confidence.

Shelton Green Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Shelton Green's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Shelton Green's standard deviation. In reality, there are many statistical measures that can use Shelton Green historical prices to predict the future Shelton Green's volatility.
Hype
Prediction
LowEstimatedHigh
33.1734.0134.85
Details
Intrinsic
Valuation
LowRealHigh
30.6136.4437.28
Details
Naive
Forecast
LowNextHigh
33.8434.6835.52
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
32.6033.1833.76
Details

Shelton Green Alpha Backtested Returns

At this stage we consider Shelton Mutual Fund to be very steady. Shelton Green Alpha owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.14, which indicates the fund had a 0.14% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Shelton Green Alpha, which you can use to evaluate the volatility of the fund. Please validate Shelton Green's Coefficient Of Variation of 734.25, risk adjusted performance of 0.105, and Semi Deviation of 0.6462 to confirm if the risk estimate we provide is consistent with the expected return of 0.11%. The entity has a beta of 0.0216, which indicates not very significant fluctuations relative to the market. As returns on the market increase, Shelton Green's returns are expected to increase less than the market. However, during the bear market, the loss of holding Shelton Green is expected to be smaller as well.

Auto-correlation

    
  -0.11  

Insignificant reverse predictability

Shelton Green Alpha has insignificant reverse predictability. Overlapping area represents the amount of predictability between Shelton Green time series from 3rd of November 2024 to 18th of November 2024 and 18th of November 2024 to 3rd 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 Shelton Green Alpha price movement. The serial correlation of -0.11 indicates that less than 11.0% of current Shelton Green price fluctuation can be explain by its past prices.
Correlation Coefficient-0.11
Spearman Rank Test-0.44
Residual Average0.0
Price Variance0.48

Shelton Green Alpha lagged returns against current returns

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

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

Shelton Green Lagged Returns

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

Shelton Green financial ratios help investors to determine whether Shelton 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 Shelton with respect to the benefits of owning Shelton Green security.
Performance Analysis
Check effects of mean-variance optimization against your current asset allocation
Equity Forecasting
Use basic forecasting models to generate price predictions and determine price momentum
Portfolio File Import
Quickly import all of your third-party portfolios from your local drive in csv format
Price Ceiling Movement
Calculate and plot Price Ceiling Movement for different equity instruments