Super Nova Resources Stock Market Value
Super Nova's market value is the price at which a share of Super Nova trades on a public exchange. It measures the collective expectations of Super Nova Resources investors about its performance. With this module, you can estimate the performance of a buy and hold strategy of Super Nova Resources and determine expected loss or profit from investing in Super Nova over a given investment horizon. Check out Super Nova Correlation, Super Nova Volatility and Super Nova Alpha and Beta module to complement your research on Super Nova.
| Symbol | Super |
Is Staffing & Employment Services space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Super Nova. If investors know Super will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Super Nova listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share 0.016 | Revenue Per Share 1.139 | Quarterly Revenue Growth (0.15) |
The market value of Super Nova Resources is measured differently than its book value, which is the value of Super that is recorded on the company's balance sheet. Investors also form their own opinion of Super Nova's value that differs from its market value or its book value, called intrinsic value, which is Super Nova's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Super Nova's market value can be influenced by many factors that don't directly affect Super Nova's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Super Nova's value and its price as these two are different measures arrived at by different means. Investors typically determine if Super Nova is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Super Nova's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
Super Nova '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 Super Nova'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 Super Nova.
| 04/22/2025 |
| 07/21/2025 |
If you would invest 0.00 in Super Nova on April 22, 2025 and sell it all today you would earn a total of 0.00 from holding Super Nova Resources or generate 0.0% return on investment in Super Nova over 90 days. Super Nova is related to or competes with Genpact, Jacobs Solutions, Ryder System, Air Lease, Ampco Pittsburgh, A2Z Smart, and Boeing. Super Nova Resources, Inc. provides employment screening and talent management software as a service More
Super Nova 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 Super Nova'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 Super Nova Resources upside and downside potential and time the market with a certain degree of confidence.
Super Nova Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Super Nova's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Super Nova's standard deviation. In reality, there are many statistical measures that can use Super Nova historical prices to predict the future Super Nova's volatility.Super Nova Resources Backtested Returns
We have found zero technical indicators for Super Nova Resources, 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 Super Nova are completely uncorrelated.
Auto-correlation | 0.00 |
No correlation between past and present
Super Nova Resources has no correlation between past and present. Overlapping area represents the amount of predictability between Super Nova time series from 22nd of April 2025 to 6th of June 2025 and 6th of June 2025 to 21st of July 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 Super Nova Resources price movement. The serial correlation of 0.0 indicates that just 0.0% of current Super Nova price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | 1.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Super Nova Resources lagged returns against current returns
Autocorrelation, which is Super Nova 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 Super Nova's stock expected returns. We can calculate the autocorrelation of Super Nova returns to help us make a trade decision. For example, suppose you find that Super Nova 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 |
Super Nova 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 Super Nova stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Super Nova stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Super Nova stock over time.
Current vs Lagged Prices |
| Timeline |
Super Nova Lagged Returns
When evaluating Super Nova's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Super Nova stock have on its future price. Super Nova 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, Super Nova autocorrelation shows the relationship between Super Nova stock current value and its past values and can show if there is a momentum factor associated with investing in Super Nova Resources.
Regressed Prices |
| Timeline |
Pair Trading with Super Nova
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 Super Nova 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 Super Nova will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Super Nova could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Super Nova 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 Super Nova - 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 Super Nova Resources to buy it.
The correlation of Super Nova 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 Super Nova moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Super Nova Resources 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 Super Nova 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.Additional Tools for Super Stock Analysis
When running Super Nova's price analysis, check to measure Super Nova'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 Super Nova is operating at the current time. Most of Super Nova's value examination focuses on studying past and present price action to predict the probability of Super Nova's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Super Nova's price. Additionally, you may evaluate how the addition of Super Nova to your portfolios can decrease your overall portfolio volatility.