SSI (Philippines) Market Value

SSI Stock   3.01  0.01  0.33%   
SSI's market value is the price at which a share of SSI trades on a public exchange. It measures the collective expectations of SSI Group investors about its performance. SSI is trading at 3.01 as of the 22nd of December 2024, a 0.33 percent decrease since the beginning of the trading day. The stock's lowest day price was 3.01.
With this module, you can estimate the performance of a buy and hold strategy of SSI Group and determine expected loss or profit from investing in SSI 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 company could be closely tied with the direction of predictive economic indicators such as signals in american community survey.
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SSI '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 SSI's stock 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 SSI.
0.00
10/23/2024
No Change 0.00  0.0 
In 2 months and 2 days
12/22/2024
0.00
If you would invest  0.00  in SSI on October 23, 2024 and sell it all today you would earn a total of 0.00 from holding SSI Group or generate 0.0% return on investment in SSI over 60 days.

SSI 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 SSI's stock 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 SSI Group upside and downside potential and time the market with a certain degree of confidence.

SSI Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for SSI's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SSI's standard deviation. In reality, there are many statistical measures that can use SSI historical prices to predict the future SSI's volatility.

SSI Group Backtested Returns

SSI Group owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0997, which indicates the firm had a -0.0997% return per unit of volatility over the last 3 months. SSI Group exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate SSI's variance of 6.0, and Risk Adjusted Performance of (0.02) to confirm the risk estimate we provide. The entity has a beta of -0.26, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning SSI are expected to decrease at a much lower rate. During the bear market, SSI is likely to outperform the market. At this point, SSI Group has a negative expected return of -0.23%. Please make sure to validate SSI's maximum drawdown, daily balance of power, period momentum indicator, as well as the relationship between the skewness and day typical price , to decide if SSI Group performance from the past will be repeated at future time.

Auto-correlation

    
  0.53  

Modest predictability

SSI Group has modest predictability. Overlapping area represents the amount of predictability between SSI time series from 23rd of October 2024 to 22nd of November 2024 and 22nd of November 2024 to 22nd 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 SSI Group price movement. The serial correlation of 0.53 indicates that about 53.0% of current SSI price fluctuation can be explain by its past prices.
Correlation Coefficient0.53
Spearman Rank Test0.58
Residual Average0.0
Price Variance0.01

SSI Group lagged returns against current returns

Autocorrelation, which is SSI stock'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 SSI's stock expected returns. We can calculate the autocorrelation of SSI returns to help us make a trade decision. For example, suppose you find that SSI has exhibited high autocorrelation historically, and you observe that the stock 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  

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

SSI Lagged Returns

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

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