Polymeric Resources Stock Market Value
| PLYR Stock | USD 35.00 0.00 0.00% |
| Symbol | Polymeric |
Polymeric Resources '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 Polymeric Resources' 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 Polymeric Resources.
| 10/29/2024 |
| 11/28/2024 |
If you would invest 0.00 in Polymeric Resources on October 29, 2024 and sell it all today you would earn a total of 0.00 from holding Polymeric Resources or generate 0.0% return on investment in Polymeric Resources over 30 days. Polymeric Resources is related to or competes with E I, Shin-Etsu Chemical, E I, BASF SE, Dow, A Schulman, and Ganfeng Lithium. Polymeric Resources Corporation, together with its subsidiaries, compounds, manufactures, and markets engineering thermo... More
Polymeric Resources 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 Polymeric Resources' 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 Polymeric Resources upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.15) | |||
| Maximum Drawdown | 45.31 |
Polymeric Resources Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Polymeric Resources' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Polymeric Resources' standard deviation. In reality, there are many statistical measures that can use Polymeric Resources historical prices to predict the future Polymeric Resources' volatility.| Risk Adjusted Performance | (0.09) | |||
| Jensen Alpha | (0.70) | |||
| Total Risk Alpha | (1.58) | |||
| Treynor Ratio | (15.58) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Polymeric Resources' price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Polymeric Resources Backtested Returns
Polymeric Resources maintains Sharpe Ratio (i.e., Efficiency) of -0.13, which implies the firm had a -0.13% return per unit of risk over the last 3 months. Polymeric Resources exposes sixteen different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Polymeric Resources' Risk Adjusted Performance of (0.09), variance of 31.11, and Coefficient Of Variation of (812.40) to confirm the risk estimate we provide. The company holds a Beta of 0.0447, which implies not very significant fluctuations relative to the market. As returns on the market increase, Polymeric Resources' returns are expected to increase less than the market. However, during the bear market, the loss of holding Polymeric Resources is expected to be smaller as well. At this point, Polymeric Resources has a negative expected return of -0.72%. Please make sure to check Polymeric Resources' information ratio and day median price , to decide if Polymeric Resources performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.00 |
No correlation between past and present
Polymeric Resources has no correlation between past and present. Overlapping area represents the amount of predictability between Polymeric Resources time series from 29th of October 2024 to 13th of November 2024 and 13th of November 2024 to 28th 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 Polymeric Resources price movement. The serial correlation of 0.0 indicates that just 0.0% of current Polymeric Resources 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 |
Polymeric Resources lagged returns against current returns
Autocorrelation, which is Polymeric Resources 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 Polymeric Resources' pink sheet expected returns. We can calculate the autocorrelation of Polymeric Resources returns to help us make a trade decision. For example, suppose you find that Polymeric Resources 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 |
Polymeric Resources 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 Polymeric Resources pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Polymeric Resources pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Polymeric Resources pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Polymeric Resources Lagged Returns
When evaluating Polymeric Resources' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Polymeric Resources pink sheet have on its future price. Polymeric Resources 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, Polymeric Resources autocorrelation shows the relationship between Polymeric Resources pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Polymeric Resources.
Regressed Prices |
| Timeline |
Pair Trading with Polymeric Resources
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 Polymeric Resources 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 Polymeric Resources will appreciate offsetting losses from the drop in the long position's value.Moving against Polymeric Pink Sheet
| 0.8 | SLMNP | A Schulman | PairCorr |
| 0.44 | VRT | Vertiv Holdings | PairCorr |
| 0.4 | PYPL | PayPal Holdings Aggressive Push | PairCorr |
| 0.37 | NDAQ | Nasdaq Inc | PairCorr |
| 0.34 | GNENF | Ganfeng Lithium | PairCorr |
The ability to find closely correlated positions to Polymeric Resources could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Polymeric Resources 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 Polymeric Resources - 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 Polymeric Resources to buy it.
The correlation of Polymeric Resources 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 Polymeric Resources moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Polymeric 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 Polymeric Resources 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 Polymeric Pink Sheet Analysis
When running Polymeric Resources' price analysis, check to measure Polymeric Resources' 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 Polymeric Resources is operating at the current time. Most of Polymeric Resources' value examination focuses on studying past and present price action to predict the probability of Polymeric Resources' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Polymeric Resources' price. Additionally, you may evaluate how the addition of Polymeric Resources to your portfolios can decrease your overall portfolio volatility.