Core Main Stock Market Value
| CNM Stock | USD 57.03 0.00 0.00% |
| Symbol | Core |
Core Main Company Valuation
Is Trading Companies & Distributors 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 Core Main. If investors know Core 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 Core Main listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth (0.07) | Earnings Share 2.14 | Revenue Per Share | Quarterly Revenue Growth 0.055 | Return On Assets |
The market value of Core Main is measured differently than its book value, which is the value of Core that is recorded on the company's balance sheet. Investors also form their own opinion of Core Main's value that differs from its market value or its book value, called intrinsic value, which is Core Main'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 Core Main's market value can be influenced by many factors that don't directly affect Core Main'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 Core Main's value and its price as these two are different measures arrived at by different means. Investors typically determine if Core Main is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Core Main'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.
Core Main '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 Core Main'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 Core Main.
| 11/01/2024 |
| 01/30/2025 |
If you would invest 0.00 in Core Main on November 1, 2024 and sell it all today you would earn a total of 0.00 from holding Core Main or generate 0.0% return on investment in Core Main over 90 days. Core Main is related to or competes with Distribution Solutions, Global Industrial, Applied Industrial, BlueLinx Holdings, MSC Industrial, DXP Enterprises, and WW Grainger. Core Main, Inc. distributes water, wastewater, storm drainage, and fire protection products and related services to muni... More
Core Main 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 Core Main'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 Core Main upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.69 | |||
| Information Ratio | 0.1064 | |||
| Maximum Drawdown | 18.9 | |||
| Value At Risk | (2.43) | |||
| Potential Upside | 4.25 |
Core Main Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Core Main's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Core Main's standard deviation. In reality, there are many statistical measures that can use Core Main historical prices to predict the future Core Main's volatility.| Risk Adjusted Performance | 0.1229 | |||
| Jensen Alpha | 0.348 | |||
| Total Risk Alpha | 0.1205 | |||
| Sortino Ratio | 0.1671 | |||
| Treynor Ratio | 2.71 |
Core Main Backtested Returns
Core Main appears to be very steady, given 3 months investment horizon. Core Main secures Sharpe Ratio (or Efficiency) of 0.18, which signifies that the company had a 0.18 % return per unit of risk over the last 3 months. By analyzing Core Main's technical indicators, you can evaluate if the expected return of 0.5% is justified by implied risk. Please makes use of Core Main's Mean Deviation of 1.65, risk adjusted performance of 0.1229, and Downside Deviation of 1.69 to double-check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Core Main holds a performance score of 14. The firm shows a Beta (market volatility) of 0.13, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Core Main's returns are expected to increase less than the market. However, during the bear market, the loss of holding Core Main is expected to be smaller as well. Please check Core Main's downside variance, and the relationship between the treynor ratio and kurtosis , to make a quick decision on whether Core Main's price patterns will revert.
Auto-correlation | 0.88 |
Very good predictability
Core Main has very good predictability. Overlapping area represents the amount of predictability between Core Main time series from 1st of November 2024 to 16th of December 2024 and 16th of December 2024 to 30th of January 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 Core Main price movement. The serial correlation of 0.88 indicates that approximately 88.0% of current Core Main price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.88 | |
| Spearman Rank Test | 0.72 | |
| Residual Average | 0.0 | |
| Price Variance | 6.36 |
Core Main lagged returns against current returns
Autocorrelation, which is Core Main 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 Core Main's stock expected returns. We can calculate the autocorrelation of Core Main returns to help us make a trade decision. For example, suppose you find that Core Main 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 |
Core Main 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 Core Main stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Core Main stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Core Main stock over time.
Current vs Lagged Prices |
| Timeline |
Core Main Lagged Returns
When evaluating Core Main's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Core Main stock have on its future price. Core Main 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, Core Main autocorrelation shows the relationship between Core Main stock current value and its past values and can show if there is a momentum factor associated with investing in Core Main.
Regressed Prices |
| Timeline |
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Core Main technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.