Sma Solar Technology Stock Market Value
| SMTGF Stock | USD 14.50 1.77 13.90% |
| Symbol | SMA |
SMA Solar '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 SMA Solar'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 SMA Solar.
| 10/16/2023 |
| 12/09/2024 |
If you would invest 0.00 in SMA Solar on October 16, 2023 and sell it all today you would earn a total of 0.00 from holding SMA Solar Technology or generate 0.0% return on investment in SMA Solar over 420 days. SMA Solar is related to or competes with Xinyi Solar, Xinyi Solar, Sunrun, SMA Solar, GCL-Poly Energy, Shoals Technologies, and Enphase Energy. SMA Solar Technology AG, together with its subsidiaries, engages in development, production, and sale of PV and battery ... More
SMA Solar 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 SMA Solar'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 SMA Solar Technology upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.20) | |||
| Maximum Drawdown | 20.61 | |||
| Value At Risk | (8.29) |
SMA Solar Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SMA Solar's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SMA Solar's standard deviation. In reality, there are many statistical measures that can use SMA Solar historical prices to predict the future SMA Solar's volatility.| Risk Adjusted Performance | (0.11) | |||
| Jensen Alpha | (0.66) | |||
| Total Risk Alpha | (1.42) | |||
| Treynor Ratio | (153.24) |
SMA Solar Technology Backtested Returns
SMA Solar Technology retains Efficiency (Sharpe Ratio) of -0.16, which indicates the firm had a -0.16% return per unit of risk over the last 3 months. SMA Solar exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate SMA Solar's risk adjusted performance of (0.11), and Standard Deviation of 4.02 to confirm the risk estimate we provide. The entity owns a Beta (Systematic Risk) of 0.0043, which indicates not very significant fluctuations relative to the market. As returns on the market increase, SMA Solar's returns are expected to increase less than the market. However, during the bear market, the loss of holding SMA Solar is expected to be smaller as well. At this point, SMA Solar Technology has a negative expected return of -0.67%. Please make sure to validate SMA Solar's skewness, and the relationship between the information ratio and day median price , to decide if SMA Solar Technology performance from the past will be repeated at future time.
Auto-correlation | 0.61 |
Good predictability
SMA Solar Technology has good predictability. Overlapping area represents the amount of predictability between SMA Solar time series from 16th of October 2023 to 13th of May 2024 and 13th of May 2024 to 9th 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 SMA Solar Technology price movement. The serial correlation of 0.61 indicates that roughly 61.0% of current SMA Solar price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.61 | |
| Spearman Rank Test | 0.52 | |
| Residual Average | 0.0 | |
| Price Variance | 67.83 |
SMA Solar Technology lagged returns against current returns
Autocorrelation, which is SMA Solar 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 SMA Solar's pink sheet expected returns. We can calculate the autocorrelation of SMA Solar returns to help us make a trade decision. For example, suppose you find that SMA Solar 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 |
SMA Solar 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 SMA Solar pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SMA Solar pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SMA Solar pink sheet over time.
Current vs Lagged Prices |
| Timeline |
SMA Solar Lagged Returns
When evaluating SMA Solar's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SMA Solar pink sheet have on its future price. SMA Solar 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, SMA Solar autocorrelation shows the relationship between SMA Solar pink sheet current value and its past values and can show if there is a momentum factor associated with investing in SMA Solar Technology.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in SMA Pink Sheet
SMA Solar financial ratios help investors to determine whether SMA 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 SMA with respect to the benefits of owning SMA Solar security.