A Schulman Stock Market Value
| SLMNP Stock | USD 935.00 4.25 0.46% |
| Symbol | SLMNP |
A Schulman '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 A Schulman'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 A Schulman.
| 10/31/2024 |
| 11/30/2024 |
If you would invest 0.00 in A Schulman on October 31, 2024 and sell it all today you would earn a total of 0.00 from holding A Schulman or generate 0.0% return on investment in A Schulman over 30 days. A Schulman is related to or competes with BASF SE, Braskem SA, Lsb Industries, Dow, and Huntsman. Schulman, Inc. manufactures and supplies plastic compounds and resins More
A Schulman 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 A Schulman'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 A Schulman upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 4.53 | |||
| Information Ratio | 0.0303 | |||
| Maximum Drawdown | 30.93 | |||
| Value At Risk | (1.92) | |||
| Potential Upside | 1.63 |
A Schulman Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for A Schulman's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as A Schulman's standard deviation. In reality, there are many statistical measures that can use A Schulman historical prices to predict the future A Schulman's volatility.| Risk Adjusted Performance | 0.0645 | |||
| Jensen Alpha | 0.1745 | |||
| Total Risk Alpha | (0.30) | |||
| Sortino Ratio | 0.0208 | |||
| Treynor Ratio | 0.5989 |
A Schulman Backtested Returns
A Schulman appears to be very steady, given 3 months investment horizon. A Schulman secures Sharpe Ratio (or Efficiency) of 0.068, which signifies that the company had a 0.068% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for A Schulman, which you can use to evaluate the volatility of the entity. Please makes use of A Schulman's Mean Deviation of 1.24, semi deviation of 2.09, and Coefficient Of Variation of 1342.14 to double-check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, A Schulman holds a performance score of 5. The firm shows a Beta (market volatility) of 0.37, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, A Schulman's returns are expected to increase less than the market. However, during the bear market, the loss of holding A Schulman is expected to be smaller as well. Please check A Schulman's downside variance, as well as the relationship between the daily balance of power and period momentum indicator , to make a quick decision on whether A Schulman's price patterns will revert.
Auto-correlation | 0.18 |
Very weak predictability
A Schulman has very weak predictability. Overlapping area represents the amount of predictability between A Schulman time series from 31st of October 2024 to 15th of November 2024 and 15th of November 2024 to 30th of November 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 A Schulman price movement. The serial correlation of 0.18 indicates that over 18.0% of current A Schulman price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.18 | |
| Spearman Rank Test | 0.43 | |
| Residual Average | 0.0 | |
| Price Variance | 5.75 |
A Schulman lagged returns against current returns
Autocorrelation, which is A Schulman 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 A Schulman's pink sheet expected returns. We can calculate the autocorrelation of A Schulman returns to help us make a trade decision. For example, suppose you find that A Schulman 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 |
A Schulman 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 A Schulman pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if A Schulman pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in A Schulman pink sheet over time.
Current vs Lagged Prices |
| Timeline |
A Schulman Lagged Returns
When evaluating A Schulman's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of A Schulman pink sheet have on its future price. A Schulman 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, A Schulman autocorrelation shows the relationship between A Schulman pink sheet current value and its past values and can show if there is a momentum factor associated with investing in A Schulman.
Regressed Prices |
| Timeline |
Pair Trading with A Schulman
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 A Schulman 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 A Schulman will appreciate offsetting losses from the drop in the long position's value.Moving against SLMNP Pink Sheet
| 0.59 | NFPDF | Nissin Foods Holdings | PairCorr |
| 0.53 | SHECY | Shin Etsu Chemical | PairCorr |
| 0.35 | SHECF | Shin Etsu Chemical | PairCorr |
| 0.31 | DAIUF | Daifuku | PairCorr |
The ability to find closely correlated positions to A Schulman could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace A Schulman 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 A Schulman - 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 A Schulman to buy it.
The correlation of A Schulman 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 A Schulman moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if A Schulman 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 A Schulman 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 SLMNP Pink Sheet Analysis
When running A Schulman's price analysis, check to measure A Schulman'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 A Schulman is operating at the current time. Most of A Schulman's value examination focuses on studying past and present price action to predict the probability of A Schulman's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move A Schulman's price. Additionally, you may evaluate how the addition of A Schulman to your portfolios can decrease your overall portfolio volatility.