Small Pany Growth Fund Market Value

WSMCX Fund  USD 21.52  0.01  0.05%   
Small Pany's market value is the price at which a share of Small Pany trades on a public exchange. It measures the collective expectations of Small Pany Growth investors about its performance. Small Pany is trading at 21.52 as of the 2nd of December 2024; that is 0.05 percent increase since the beginning of the trading day. The fund's open price was 21.51.
With this module, you can estimate the performance of a buy and hold strategy of Small Pany Growth and determine expected loss or profit from investing in Small Pany over a given investment horizon. Check out Small Pany Correlation, Small Pany Volatility and Small Pany Alpha and Beta module to complement your research on Small Pany.
Symbol

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

Small Pany '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 Small Pany'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 Small Pany.
0.00
11/02/2024
No Change 0.00  0.0 
In 31 days
12/02/2024
0.00
If you would invest  0.00  in Small Pany on November 2, 2024 and sell it all today you would earn a total of 0.00 from holding Small Pany Growth or generate 0.0% return on investment in Small Pany over 30 days. Small Pany is related to or competes with Invesco Energy, Energy Basic, World Energy, and Dreyfus Natural. The fund invests at least 80 percent of its net assets in equity securities of small-capitalization companies More

Small Pany 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 Small Pany'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 Small Pany Growth upside and downside potential and time the market with a certain degree of confidence.

Small Pany Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Small Pany's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Small Pany's standard deviation. In reality, there are many statistical measures that can use Small Pany historical prices to predict the future Small Pany's volatility.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Small Pany'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.
Hype
Prediction
LowEstimatedHigh
20.4221.5122.60
Details
Intrinsic
Valuation
LowRealHigh
20.1821.2722.36
Details
Naive
Forecast
LowNextHigh
20.6221.7122.80
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
19.6820.7521.82
Details

Small Pany Growth Backtested Returns

At this stage we consider Small Mutual Fund to be very steady. Small Pany Growth owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.11, which indicates the fund had a 0.11% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Small Pany Growth, which you can use to evaluate the volatility of the fund. Please validate Small Pany's Coefficient Of Variation of 1301.65, risk adjusted performance of 0.0621, and Semi Deviation of 0.9888 to confirm if the risk estimate we provide is consistent with the expected return of 0.12%. The entity has a beta of 1.34, which indicates a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Small Pany will likely underperform.

Auto-correlation

    
  0.60  

Good predictability

Small Pany Growth has good predictability. Overlapping area represents the amount of predictability between Small Pany time series from 2nd of November 2024 to 17th of November 2024 and 17th of November 2024 to 2nd 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 Small Pany Growth price movement. The serial correlation of 0.6 indicates that roughly 60.0% of current Small Pany price fluctuation can be explain by its past prices.
Correlation Coefficient0.6
Spearman Rank Test0.27
Residual Average0.0
Price Variance0.21

Small Pany Growth lagged returns against current returns

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

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

Small Pany Lagged Returns

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

Small Pany financial ratios help investors to determine whether Small 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 Small with respect to the benefits of owning Small Pany security.
Portfolio Comparator
Compare the composition, asset allocations and performance of any two portfolios in your account
Correlation Analysis
Reduce portfolio risk simply by holding instruments which are not perfectly correlated
Equity Valuation
Check real value of public entities based on technical and fundamental data