SBF 120's market value is the price at which a share of SBF 120 trades on a public exchange. It measures the collective expectations of SBF 120 investors about its performance. SBF 120 is listed at 5506.31 as of the 26th of November 2024, which is a 0.09% up since the beginning of the trading day. The index's open price was 5501.59. With this module, you can estimate the performance of a buy and hold strategy of SBF 120 and determine expected loss or profit from investing in SBF 120 over a given investment horizon. Check out World Market Map 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 nation.
Symbol
SBF
SBF 120 '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 SBF 120'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 SBF 120.
0.00
01/31/2024
No Change 0.00
0.0
In 9 months and 28 days
11/26/2024
0.00
If you would invest 0.00 in SBF 120 on January 31, 2024 and sell it all today you would earn a total of 0.00 from holding SBF 120 or generate 0.0% return on investment in SBF 120 over 300 days.
SBF 120 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 SBF 120'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 SBF 120 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 SBF 120's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SBF 120's standard deviation. In reality, there are many statistical measures that can use SBF 120 historical prices to predict the future SBF 120's volatility.
Please note, it is not enough to conduct a financial or market analysis of a single entity such as SBF 120. Your research has to be compared to or analyzed against SBF 120's peers to derive any actionable benefits. When done correctly, SBF 120'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 SBF 120.
SBF 120 Backtested Returns
SBF 120 owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0682, which indicates the index had a -0.0682% return per unit of volatility over the last 3 months. SBF 120 exposes nineteen 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 SBF 120 are completely uncorrelated.
Auto-correlation
0.20
Weak predictability
SBF 120 has weak predictability. Overlapping area represents the amount of predictability between SBF 120 time series from 31st of January 2024 to 29th of June 2024 and 29th of June 2024 to 26th 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 SBF 120 price movement. The serial correlation of 0.2 indicates that over 20.0% of current SBF 120 price fluctuation can be explain by its past prices.
Correlation Coefficient
0.2
Spearman Rank Test
0.04
Residual Average
0.0
Price Variance
10.4 K
SBF 120 lagged returns against current returns
Autocorrelation, which is SBF 120 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 SBF 120's index expected returns. We can calculate the autocorrelation of SBF 120 returns to help us make a trade decision. For example, suppose you find that SBF 120 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
SBF 120 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 SBF 120 index is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SBF 120 index is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SBF 120 index over time.
Current vs Lagged Prices
Timeline
SBF 120 Lagged Returns
When evaluating SBF 120's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SBF 120 index have on its future price. SBF 120 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, SBF 120 autocorrelation shows the relationship between SBF 120 index current value and its past values and can show if there is a momentum factor associated with investing in SBF 120.
Regressed Prices
Timeline
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