Surge Components Stock Market Value
| SPRS Stock | USD 2.20 0.05 2.22% |
| Symbol | Surge |
Surge Components '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 Surge Components' 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 Surge Components.
| 12/14/2022 |
| 12/03/2024 |
If you would invest 0.00 in Surge Components on December 14, 2022 and sell it all today you would earn a total of 0.00 from holding Surge Components or generate 0.0% return on investment in Surge Components over 720 days. Surge Components is related to or competes with SCI Engineered, TSS, Common, Ieh Corp, Paragon Technologies, and Solitron Devices. Surge Components, Inc., together with its subsidiaries, supplies electronic products and components More
Surge Components 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 Surge Components' 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 Surge Components upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 4.66 | |||
| Information Ratio | (0.03) | |||
| Maximum Drawdown | 17.91 | |||
| Value At Risk | (4.93) | |||
| Potential Upside | 4.98 |
Surge Components Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Surge Components' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Surge Components' standard deviation. In reality, there are many statistical measures that can use Surge Components historical prices to predict the future Surge Components' volatility.| Risk Adjusted Performance | 0.0173 | |||
| Jensen Alpha | (0.03) | |||
| Total Risk Alpha | (0.42) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | 0.0563 |
Surge Components Backtested Returns
Currently, Surge Components is risky. Surge Components owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0655, which indicates the firm had a 0.0655% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Surge Components, which you can use to evaluate the volatility of the company. Please validate Surge Components' Coefficient Of Variation of 7788.02, risk adjusted performance of 0.0173, and Semi Deviation of 2.55 to confirm if the risk estimate we provide is consistent with the expected return of 0.16%. Surge Components has a performance score of 5 on a scale of 0 to 100. The entity has a beta of 0.51, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, Surge Components' returns are expected to increase less than the market. However, during the bear market, the loss of holding Surge Components is expected to be smaller as well. Surge Components right now has a risk of 2.5%. Please validate Surge Components total risk alpha, downside variance, as well as the relationship between the Downside Variance and rate of daily change , to decide if Surge Components will be following its existing price patterns.
Auto-correlation | 0.38 |
Below average predictability
Surge Components has below average predictability. Overlapping area represents the amount of predictability between Surge Components time series from 14th of December 2022 to 9th of December 2023 and 9th of December 2023 to 3rd 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 Surge Components price movement. The serial correlation of 0.38 indicates that just about 38.0% of current Surge Components price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.38 | |
| Spearman Rank Test | 0.15 | |
| Residual Average | 0.0 | |
| Price Variance | 0.07 |
Surge Components lagged returns against current returns
Autocorrelation, which is Surge Components 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 Surge Components' pink sheet expected returns. We can calculate the autocorrelation of Surge Components returns to help us make a trade decision. For example, suppose you find that Surge Components 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 |
Surge Components 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 Surge Components pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Surge Components pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Surge Components pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Surge Components Lagged Returns
When evaluating Surge Components' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Surge Components pink sheet have on its future price. Surge Components 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, Surge Components autocorrelation shows the relationship between Surge Components pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Surge Components.
Regressed Prices |
| Timeline |
Thematic Opportunities
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Additional Tools for Surge Pink Sheet Analysis
When running Surge Components' price analysis, check to measure Surge Components' 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 Surge Components is operating at the current time. Most of Surge Components' value examination focuses on studying past and present price action to predict the probability of Surge Components' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Surge Components' price. Additionally, you may evaluate how the addition of Surge Components to your portfolios can decrease your overall portfolio volatility.