Champion Industries Stock Market Value
| CHMP Stock | USD 0.02 0.00 0.00% |
| Symbol | Champion |
Champion Industries '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 Champion Industries' 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 Champion Industries.
| 01/21/2025 |
| 01/16/2026 |
If you would invest 0.00 in Champion Industries on January 21, 2025 and sell it all today you would earn a total of 0.00 from holding Champion Industries or generate 0.0% return on investment in Champion Industries over 360 days. Champion Industries is related to or competes with Quaker Chemical, X FAB, China Petroleum, Westlake Chemical, Nexstar Broadcasting, Eastman Chemical, and Kingboard Chemical. Champion Industries, Inc., together with its subsidiaries, operates as a commercial printer, business forms manufacturer... More
Champion Industries 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 Champion Industries' 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 Champion Industries upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | 0.123 | |||
| Maximum Drawdown | 19900.0 |
Champion Industries Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Champion Industries' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Champion Industries' standard deviation. In reality, there are many statistical measures that can use Champion Industries historical prices to predict the future Champion Industries' volatility.| Risk Adjusted Performance | 0.0953 | |||
| Jensen Alpha | 320.86 | |||
| Total Risk Alpha | (50.16) | |||
| Treynor Ratio | (1.55) |
Champion Industries Backtested Returns
Champion Industries is out of control given 3 months investment horizon. Champion Industries secures Sharpe Ratio (or Efficiency) of 0.13, which signifies that the company had a 0.13 % return per unit of standard deviation over the last 3 months. We have collected data for sixteen different technical indicators, which can help you to evaluate if expected returns of 15.87% are justified by taking the suggested risk. Use Champion Industries mean deviation of 593.89, and Risk Adjusted Performance of 0.0953 to evaluate company specific risk that cannot be diversified away. Champion Industries holds a performance score of 10 on a scale of zero to a hundred. The firm shows a Beta (market volatility) of -194.41, which signifies a somewhat significant risk relative to the market. As returns on the market increase, returns on owning Champion Industries are expected to decrease by larger amounts. On the other hand, during market turmoil, Champion Industries is expected to outperform it. Use Champion Industries risk adjusted performance, variance, as well as the relationship between the Variance and kurtosis , to analyze future returns on Champion Industries.
Auto-correlation | 0.00 |
No correlation between past and present
Champion Industries has no correlation between past and present. Overlapping area represents the amount of predictability between Champion Industries time series from 21st of January 2025 to 20th of July 2025 and 20th of July 2025 to 16th of January 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Champion Industries price movement. The serial correlation of 0.0 indicates that just 0.0% of current Champion Industries 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 |
Champion Industries lagged returns against current returns
Autocorrelation, which is Champion Industries 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 Champion Industries' pink sheet expected returns. We can calculate the autocorrelation of Champion Industries returns to help us make a trade decision. For example, suppose you find that Champion Industries 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 |
Champion Industries 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 Champion Industries pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Champion Industries pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Champion Industries pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Champion Industries Lagged Returns
When evaluating Champion Industries' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Champion Industries pink sheet have on its future price. Champion Industries 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, Champion Industries autocorrelation shows the relationship between Champion Industries pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Champion Industries.
Regressed Prices |
| Timeline |
Pair Trading with Champion Industries
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 Champion Industries 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 Champion Industries will appreciate offsetting losses from the drop in the long position's value.Moving against Champion Pink Sheet
| 0.57 | FNMFO | Federal National Mortgage | PairCorr |
| 0.49 | PG | Procter Gamble Earnings Call This Week | PairCorr |
| 0.48 | MSFT | Microsoft | PairCorr |
The ability to find closely correlated positions to Champion Industries could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Champion Industries 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 Champion Industries - 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 Champion Industries to buy it.
The correlation of Champion Industries 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 Champion Industries moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Champion Industries 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 Champion Industries 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 Champion Pink Sheet Analysis
When running Champion Industries' price analysis, check to measure Champion Industries' 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 Champion Industries is operating at the current time. Most of Champion Industries' value examination focuses on studying past and present price action to predict the probability of Champion Industries' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Champion Industries' price. Additionally, you may evaluate how the addition of Champion Industries to your portfolios can decrease your overall portfolio volatility.