SPS Commerce (Germany) Market Value
| S86 Stock | 185.00 3.00 1.65% |
| Symbol | SPS |
SPS Commerce '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 SPS Commerce'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 SPS Commerce.
| 11/11/2024 |
| 12/11/2024 |
If you would invest 0.00 in SPS Commerce on November 11, 2024 and sell it all today you would earn a total of 0.00 from holding SPS Commerce or generate 0.0% return on investment in SPS Commerce over 30 days. SPS Commerce is related to or competes with SPARTAN STORES, Apollo Medical, Diamyd Medical, QURATE RETAIL, CompuGroup Medical, Clearside Biomedical, and JAPAN TOBACCO. More
SPS Commerce 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 SPS Commerce'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 SPS Commerce upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.62 | |||
| Information Ratio | 0.0249 | |||
| Maximum Drawdown | 12.69 | |||
| Value At Risk | (2.34) | |||
| Potential Upside | 2.84 |
SPS Commerce Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SPS Commerce's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SPS Commerce's standard deviation. In reality, there are many statistical measures that can use SPS Commerce historical prices to predict the future SPS Commerce's volatility.| Risk Adjusted Performance | 0.0663 | |||
| Jensen Alpha | 0.0802 | |||
| Total Risk Alpha | (0.17) | |||
| Sortino Ratio | 0.0206 | |||
| Treynor Ratio | 0.2186 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of SPS Commerce's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
SPS Commerce Backtested Returns
Currently, SPS Commerce is very steady. SPS Commerce owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.079, which indicates the firm had a 0.079% return per unit of standard deviation over the last 3 months. We have found twenty-nine technical indicators for SPS Commerce, which you can use to evaluate the volatility of the company. Please validate SPS Commerce's coefficient of variation of 1211.07, and Risk Adjusted Performance of 0.0663 to confirm if the risk estimate we provide is consistent with the expected return of 0.17%. SPS Commerce has a performance score of 6 on a scale of 0 to 100. The entity has a beta of 0.77, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, SPS Commerce's returns are expected to increase less than the market. However, during the bear market, the loss of holding SPS Commerce is expected to be smaller as well. SPS Commerce presently has a risk of 2.17%. Please validate SPS Commerce semi variance, accumulation distribution, and the relationship between the potential upside and skewness , to decide if SPS Commerce will be following its existing price patterns.
Auto-correlation | 0.41 |
Average predictability
SPS Commerce has average predictability. Overlapping area represents the amount of predictability between SPS Commerce time series from 11th of November 2024 to 26th of November 2024 and 26th of November 2024 to 11th 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 SPS Commerce price movement. The serial correlation of 0.41 indicates that just about 41.0% of current SPS Commerce price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.41 | |
| Spearman Rank Test | 0.42 | |
| Residual Average | 0.0 | |
| Price Variance | 3.58 |
SPS Commerce lagged returns against current returns
Autocorrelation, which is SPS Commerce 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 SPS Commerce's stock expected returns. We can calculate the autocorrelation of SPS Commerce returns to help us make a trade decision. For example, suppose you find that SPS Commerce 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 |
SPS Commerce 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 SPS Commerce stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SPS Commerce stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SPS Commerce stock over time.
Current vs Lagged Prices |
| Timeline |
SPS Commerce Lagged Returns
When evaluating SPS Commerce's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SPS Commerce stock have on its future price. SPS Commerce 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, SPS Commerce autocorrelation shows the relationship between SPS Commerce stock current value and its past values and can show if there is a momentum factor associated with investing in SPS Commerce.
Regressed Prices |
| Timeline |
Thematic Opportunities
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Additional Tools for SPS Stock Analysis
When running SPS Commerce's price analysis, check to measure SPS Commerce's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy SPS Commerce is operating at the current time. Most of SPS Commerce's value examination focuses on studying past and present price action to predict the probability of SPS Commerce's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move SPS Commerce's price. Additionally, you may evaluate how the addition of SPS Commerce to your portfolios can decrease your overall portfolio volatility.