Scale All's market value is the price at which a share of Scale All trades on a public exchange. It measures the collective expectations of Scale All Share investors about its performance. Scale All is enlisted at 1109.56 as of the 28th of December 2024; that is 0.63 percent decrease since the beginning of the trading day. The index's open price was 1116.54. With this module, you can estimate the performance of a buy and hold strategy of Scale All Share and determine expected loss or profit from investing in Scale All over a given investment horizon. Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any index could be closely tied with the direction of predictive economic indicators such as signals in board of governors.
Symbol
Scale
Scale All '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 Scale All's index 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 Scale All.
0.00
01/08/2023
No Change 0.00
0.0
In 1 year 11 months and 22 days
12/28/2024
0.00
If you would invest 0.00 in Scale All on January 8, 2023 and sell it all today you would earn a total of 0.00 from holding Scale All Share or generate 0.0% return on investment in Scale All over 720 days.
Scale All 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 Scale All's index 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 Scale All Share upside and downside potential and time the market with a certain degree of confidence.
Today, many novice investors tend to focus exclusively on investment returns with little concern for Scale All's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Scale All's standard deviation. In reality, there are many statistical measures that can use Scale All historical prices to predict the future Scale All's volatility.
Scale All Share owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.1, which indicates the index had a -0.1% return per unit of risk over the last 3 months. Scale All Share exposes twenty different technical indicators, which can help you to evaluate volatility embedded in its price movement. The entity has a beta of 0.0, which indicates not very significant fluctuations relative to the market. the returns on MARKET and Scale All are completely uncorrelated.
Auto-correlation
0.35
Below average predictability
Scale All Share has below average predictability. Overlapping area represents the amount of predictability between Scale All time series from 8th of January 2023 to 3rd of January 2024 and 3rd of January 2024 to 28th 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 Scale All Share price movement. The serial correlation of 0.35 indicates that nearly 35.0% of current Scale All price fluctuation can be explain by its past prices.
Correlation Coefficient
0.35
Spearman Rank Test
0.36
Residual Average
0.0
Price Variance
694.64
Scale All Share lagged returns against current returns
Autocorrelation, which is Scale All index'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 Scale All's index expected returns. We can calculate the autocorrelation of Scale All returns to help us make a trade decision. For example, suppose you find that Scale All has exhibited high autocorrelation historically, and you observe that the index 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
Scale All 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 Scale All index is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Scale All index is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Scale All index over time.
Current vs Lagged Prices
Timeline
Scale All Lagged Returns
When evaluating Scale All's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Scale All index have on its future price. Scale All 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, Scale All autocorrelation shows the relationship between Scale All index current value and its past values and can show if there is a momentum factor associated with investing in Scale All Share.
Regressed Prices
Timeline
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