Sparta Commercial Services Stock Market Value
| SRCO Stock | USD 0.17 0.05 22.73% |
| Symbol | Sparta |
Sparta Commercial '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 Sparta Commercial'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 Sparta Commercial.
| 11/16/2024 |
| 12/16/2024 |
If you would invest 0.00 in Sparta Commercial on November 16, 2024 and sell it all today you would earn a total of 0.00 from holding Sparta Commercial Services or generate 0.0% return on investment in Sparta Commercial over 30 days. Sparta Commercial is related to or competes with Salesforce, S A P, ServiceNow, Intuit, Shopify, Uber Technologies, and Applovin Corp. Sparta Commercial Services, Inc., a technology company, develops, markets, and manages business websites and mobile appl... More
Sparta Commercial 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 Sparta Commercial'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 Sparta Commercial Services upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.12) | |||
| Maximum Drawdown | 40.59 | |||
| Value At Risk | (16.67) | |||
| Potential Upside | 11.11 |
Sparta Commercial Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Sparta Commercial's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Sparta Commercial's standard deviation. In reality, there are many statistical measures that can use Sparta Commercial historical prices to predict the future Sparta Commercial's volatility.| Risk Adjusted Performance | (0.07) | |||
| Jensen Alpha | (0.87) | |||
| Total Risk Alpha | (1.80) | |||
| Treynor Ratio | (1.64) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Sparta Commercial'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.
Sparta Commercial Backtested Returns
Sparta Commercial owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.12, which indicates the firm had a -0.12% return per unit of risk over the last 3 months. Sparta Commercial Services exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Sparta Commercial's Coefficient Of Variation of (970.31), risk adjusted performance of (0.07), and Variance of 62.0 to confirm the risk estimate we provide. The entity has a beta of 0.5, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, Sparta Commercial's returns are expected to increase less than the market. However, during the bear market, the loss of holding Sparta Commercial is expected to be smaller as well. At this point, Sparta Commercial has a negative expected return of -0.89%. Please make sure to validate Sparta Commercial's treynor ratio, as well as the relationship between the kurtosis and day typical price , to decide if Sparta Commercial performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.44 |
Modest reverse predictability
Sparta Commercial Services has modest reverse predictability. Overlapping area represents the amount of predictability between Sparta Commercial time series from 16th of November 2024 to 1st of December 2024 and 1st of December 2024 to 16th 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 Sparta Commercial price movement. The serial correlation of -0.44 indicates that just about 44.0% of current Sparta Commercial price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.44 | |
| Spearman Rank Test | -0.42 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Sparta Commercial lagged returns against current returns
Autocorrelation, which is Sparta Commercial 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 Sparta Commercial's pink sheet expected returns. We can calculate the autocorrelation of Sparta Commercial returns to help us make a trade decision. For example, suppose you find that Sparta Commercial 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 |
Sparta Commercial 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 Sparta Commercial pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Sparta Commercial pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Sparta Commercial pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Sparta Commercial Lagged Returns
When evaluating Sparta Commercial's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Sparta Commercial pink sheet have on its future price. Sparta Commercial 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, Sparta Commercial autocorrelation shows the relationship between Sparta Commercial pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Sparta Commercial Services.
Regressed Prices |
| Timeline |
Pair Trading with Sparta Commercial
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Sparta Commercial position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Sparta Commercial will appreciate offsetting losses from the drop in the long position's value.Moving against Sparta Pink Sheet
| 0.87 | MSTR | MicroStrategy Incorporated Buyout Trend | PairCorr |
| 0.84 | BAC | Bank of America Fiscal Year End 10th of January 2025 | PairCorr |
| 0.83 | CRM | Salesforce | PairCorr |
| 0.83 | NOW | ServiceNow Fiscal Year End 22nd of January 2025 | PairCorr |
| 0.83 | APP | Applovin Corp | PairCorr |
The ability to find closely correlated positions to Sparta Commercial could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Sparta Commercial when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Sparta Commercial - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Sparta Commercial Services to buy it.
The correlation of Sparta Commercial is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Sparta Commercial moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Sparta Commercial moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Sparta Commercial can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Other Information on Investing in Sparta Pink Sheet
Sparta Commercial financial ratios help investors to determine whether Sparta 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 Sparta with respect to the benefits of owning Sparta Commercial security.