PMI Revenue Per Share from 2010 to 2024
PMIR Stock | USD 0.25 0.00 0.00% |
Check PMI financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among PMI's main balance sheet or income statement drivers, such as , as well as many indicators such as . PMI financial statements analysis is a perfect complement when working with PMI Valuation or Volatility modules.
PMI |
Pair Trading with PMI
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 PMI 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 PMI will appreciate offsetting losses from the drop in the long position's value.Moving together with PMI OTC Stock
Moving against PMI OTC Stock
0.7 | NXGL | Nexgel Inc | PairCorr |
0.67 | ALK | Alaska Air Group Fiscal Year End 23rd of January 2025 | PairCorr |
0.62 | URBN | Urban Outfitters | PairCorr |
0.56 | NNFSF | Nongfu Spring | PairCorr |
0.53 | ZIONP | Zions Bancorporation | PairCorr |
The ability to find closely correlated positions to PMI could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace PMI 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 PMI - 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 The PMI Group to buy it.
The correlation of PMI 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 PMI moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if PMI Group 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 PMI 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 PMI OTC Stock Analysis
When running PMI's price analysis, check to measure PMI'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 PMI is operating at the current time. Most of PMI's value examination focuses on studying past and present price action to predict the probability of PMI's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move PMI's price. Additionally, you may evaluate how the addition of PMI to your portfolios can decrease your overall portfolio volatility.