SSF Home's market value is the price at which a share of SSF Home trades on a public exchange. It measures the collective expectations of SSF Home Group investors about its performance. SSF Home is selling for 0.38 as of the 31st of January 2025. This is a 5.56 percent increase since the beginning of the trading day. The stock's lowest day price was 0.36. With this module, you can estimate the performance of a buy and hold strategy of SSF Home Group and determine expected loss or profit from investing in SSF Home 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 company could be closely tied with the direction of predictive economic indicators such as signals in board of governors.
Symbol
SSF
SSF Home '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 SSF Home'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 SSF Home.
0.00
09/03/2024
No Change 0.00
0.0
In 4 months and 31 days
01/31/2025
0.00
If you would invest 0.00 in SSF Home on September 3, 2024 and sell it all today you would earn a total of 0.00 from holding SSF Home Group or generate 0.0% return on investment in SSF Home over 150 days.
SSF Home 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 SSF Home'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 SSF Home Group 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 SSF Home's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SSF Home's standard deviation. In reality, there are many statistical measures that can use SSF Home historical prices to predict the future SSF Home's volatility.
SSF Home appears to be extremely dangerous, given 3 months investment horizon. SSF Home Group owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.12, which indicates the firm had a 0.12 % return per unit of volatility over the last 3 months. We have found twenty-nine technical indicators for SSF Home Group, which you can use to evaluate the volatility of the company. Please review SSF Home's risk adjusted performance of 0.0998, and Coefficient Of Variation of 878.57 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, SSF Home holds a performance score of 9. The entity has a beta of 0.24, which indicates not very significant fluctuations relative to the market. As returns on the market increase, SSF Home's returns are expected to increase less than the market. However, during the bear market, the loss of holding SSF Home is expected to be smaller as well. Please check SSF Home's semi deviation, coefficient of variation, and the relationship between the mean deviation and downside deviation , to make a quick decision on whether SSF Home's existing price patterns will revert.
Auto-correlation
-0.02
Very weak reverse predictability
SSF Home Group has very weak reverse predictability. Overlapping area represents the amount of predictability between SSF Home time series from 3rd of September 2024 to 17th of November 2024 and 17th of November 2024 to 31st of January 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of SSF Home Group price movement. The serial correlation of -0.02 indicates that only 2.0% of current SSF Home price fluctuation can be explain by its past prices.
Correlation Coefficient
-0.02
Spearman Rank Test
-0.15
Residual Average
0.0
Price Variance
0.0
SSF Home Group lagged returns against current returns
Autocorrelation, which is SSF Home 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 SSF Home's stock expected returns. We can calculate the autocorrelation of SSF Home returns to help us make a trade decision. For example, suppose you find that SSF Home 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
SSF Home 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 SSF Home stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SSF Home stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SSF Home stock over time.
Current vs Lagged Prices
Timeline
SSF Home Lagged Returns
When evaluating SSF Home's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SSF Home stock have on its future price. SSF Home 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, SSF Home autocorrelation shows the relationship between SSF Home stock current value and its past values and can show if there is a momentum factor associated with investing in SSF Home Group.
Regressed Prices
Timeline
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