Sms Co Stock Market Value
| SMSZF Stock | USD 8.56 0.00 0.00% |
| Symbol | SMS |
SMS '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 SMS's pink sheet 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 SMS.
| 06/09/2024 |
| 12/31/2025 |
If you would invest 0.00 in SMS on June 9, 2024 and sell it all today you would earn a total of 0.00 from holding SMS Co or generate 0.0% return on investment in SMS over 570 days. SMS is related to or competes with LifeTech Scientific, Veradigm, Arjo AB, Safilo Group, Extendicare, ELEn SpA, and Rhoen Klinikum. SMS Co., Ltd. provides information infrastructure for the nursing care, medical care, career, healthcare, and elderly ca... More
SMS 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 SMS's pink sheet 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 SMS Co upside and downside potential and time the market with a certain degree of confidence.
SMS Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SMS's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SMS's standard deviation. In reality, there are many statistical measures that can use SMS historical prices to predict the future SMS's volatility.SMS Co Backtested Returns
We have found three technical indicators for SMS Co, which you can use to evaluate the volatility of the company. The entity has a beta of 0.0, which indicates not very significant fluctuations relative to the market. the returns on MARKET and SMS are completely uncorrelated.
Auto-correlation | 0.00 |
No correlation between past and present
SMS Co has no correlation between past and present. Overlapping area represents the amount of predictability between SMS time series from 9th of June 2024 to 21st of March 2025 and 21st of March 2025 to 31st of December 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 SMS Co price movement. The serial correlation of 0.0 indicates that just 0.0% of current SMS price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | 0.6 | |
| Residual Average | 0.0 | |
| Price Variance | 5.9 |
SMS Co lagged returns against current returns
Autocorrelation, which is SMS pink sheet'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 SMS's pink sheet expected returns. We can calculate the autocorrelation of SMS returns to help us make a trade decision. For example, suppose you find that SMS has exhibited high autocorrelation historically, and you observe that the pink sheet 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 |
SMS 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 SMS pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SMS pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SMS pink sheet over time.
Current vs Lagged Prices |
| Timeline |
SMS Lagged Returns
When evaluating SMS's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SMS pink sheet have on its future price. SMS 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, SMS autocorrelation shows the relationship between SMS pink sheet current value and its past values and can show if there is a momentum factor associated with investing in SMS Co.
Regressed Prices |
| Timeline |
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Other Information on Investing in SMS Pink Sheet
SMS financial ratios help investors to determine whether SMS Pink Sheet 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 SMS with respect to the benefits of owning SMS security.