Quantified Stf Fund Market Value

QSTFX Fund  USD 19.40  0.01  0.05%   
Quantified Stf's market value is the price at which a share of Quantified Stf trades on a public exchange. It measures the collective expectations of Quantified Stf Fund investors about its performance. Quantified Stf is trading at 19.40 as of the 20th of December 2024; that is 0.05 percent up since the beginning of the trading day. The fund's open price was 19.39.
With this module, you can estimate the performance of a buy and hold strategy of Quantified Stf Fund and determine expected loss or profit from investing in Quantified Stf over a given investment horizon. Check out Quantified Stf Correlation, Quantified Stf Volatility and Quantified Stf Alpha and Beta module to complement your research on Quantified Stf.
Symbol

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

Quantified Stf '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 Quantified Stf'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 Quantified Stf.
0.00
11/20/2024
No Change 0.00  0.0 
In 31 days
12/20/2024
0.00
If you would invest  0.00  in Quantified Stf on November 20, 2024 and sell it all today you would earn a total of 0.00 from holding Quantified Stf Fund or generate 0.0% return on investment in Quantified Stf over 30 days. Quantified Stf is related to or competes with Columbia Income, Ashmore Emerging, Ashmore Emerging, Blackrock Gov, and Invesco Limited. The funds investment adviser delegates execution of the funds investment strategy to the Subadviser, Flexible Plan Inves... More

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

Quantified Stf Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Quantified Stf's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Quantified Stf's standard deviation. In reality, there are many statistical measures that can use Quantified Stf historical prices to predict the future Quantified Stf's volatility.
Hype
Prediction
LowEstimatedHigh
18.0719.4020.73
Details
Intrinsic
Valuation
LowRealHigh
17.4620.8622.19
Details
Naive
Forecast
LowNextHigh
18.0119.3420.67
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
17.1618.6120.07
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Quantified Stf. Your research has to be compared to or analyzed against Quantified Stf's peers to derive any actionable benefits. When done correctly, Quantified Stf's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Quantified Stf.

Quantified Stf Backtested Returns

At this stage we consider Quantified Mutual Fund to be very steady. Quantified Stf maintains Sharpe Ratio (i.e., Efficiency) of 0.12, which implies the entity had a 0.12% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Quantified Stf, which you can use to evaluate the volatility of the fund. Please check Quantified Stf's Semi Deviation of 0.9417, risk adjusted performance of 0.1308, and Coefficient Of Variation of 628.45 to confirm if the risk estimate we provide is consistent with the expected return of 0.16%. The fund holds a Beta of 0.85, which implies possible diversification benefits within a given portfolio. As returns on the market increase, Quantified Stf's returns are expected to increase less than the market. However, during the bear market, the loss of holding Quantified Stf is expected to be smaller as well.

Auto-correlation

    
  0.61  

Good predictability

Quantified Stf Fund has good predictability. Overlapping area represents the amount of predictability between Quantified Stf time series from 20th of November 2024 to 5th of December 2024 and 5th of December 2024 to 20th 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 Quantified Stf price movement. The serial correlation of 0.61 indicates that roughly 61.0% of current Quantified Stf price fluctuation can be explain by its past prices.
Correlation Coefficient0.61
Spearman Rank Test0.54
Residual Average0.0
Price Variance0.08

Quantified Stf lagged returns against current returns

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

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

Quantified Stf Lagged Returns

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

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Other Information on Investing in Quantified Mutual Fund

Quantified Stf financial ratios help investors to determine whether Quantified 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 Quantified with respect to the benefits of owning Quantified Stf security.
Efficient Frontier
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Sectors
List of equity sectors categorizing publicly traded companies based on their primary business activities