The Pmi Group Stock Market Value
| PMIR Stock | USD 0.25 0.00 0.00% |
| Symbol | PMI |
PMI '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 PMI's otc 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 PMI.
| 11/26/2024 |
| 12/26/2024 |
If you would invest 0.00 in PMI on November 26, 2024 and sell it all today you would earn a total of 0.00 from holding The PMI Group or generate 0.0% return on investment in PMI over 30 days. PMI is related to or competes with Ambac Financial, Assured Guaranty, Radian, MGIC Investment, and James River. The PMI Group, Inc., through its subsidiary, PMI Mortgage Insurance Co., provides mortgage insurance to lenders and othe... More
PMI 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 PMI's otc 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 The PMI Group upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.13) | |||
| Maximum Drawdown | 92.38 |
PMI Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for PMI's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as PMI's standard deviation. In reality, there are many statistical measures that can use PMI historical prices to predict the future PMI's volatility.| Risk Adjusted Performance | (0.09) | |||
| Jensen Alpha | (1.43) | |||
| Total Risk Alpha | (1.90) | |||
| Treynor Ratio | (2.13) |
PMI Group Backtested Returns
PMI Group 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. PMI Group exposes sixteen different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check PMI's Variance of 129.3, coefficient of variation of (812.40), and Market Risk Adjusted Performance of (2.12) to confirm the risk estimate we provide. The company holds a Beta of 0.66, which implies possible diversification benefits within a given portfolio. As returns on the market increase, PMI's returns are expected to increase less than the market. However, during the bear market, the loss of holding PMI is expected to be smaller as well. At this point, PMI Group has a negative expected return of -1.47%. Please make sure to check PMI's coefficient of variation, maximum drawdown, as well as the relationship between the Maximum Drawdown and day typical price , to decide if PMI Group performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.00 |
No correlation between past and present
The PMI Group has no correlation between past and present. Overlapping area represents the amount of predictability between PMI time series from 26th of November 2024 to 11th of December 2024 and 11th of December 2024 to 26th of December 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 PMI Group price movement. The serial correlation of 0.0 indicates that just 0.0% of current PMI price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | -0.2 | |
| Residual Average | 0.0 | |
| Price Variance | 1.82 |
PMI Group lagged returns against current returns
Autocorrelation, which is PMI otc 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 PMI's otc stock expected returns. We can calculate the autocorrelation of PMI returns to help us make a trade decision. For example, suppose you find that PMI has exhibited high autocorrelation historically, and you observe that the otc 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 |
PMI 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 PMI otc stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if PMI otc stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in PMI otc stock over time.
Current vs Lagged Prices |
| Timeline |
PMI Lagged Returns
When evaluating PMI's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of PMI otc stock have on its future price. PMI 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, PMI autocorrelation shows the relationship between PMI otc stock current value and its past values and can show if there is a momentum factor associated with investing in The PMI Group.
Regressed Prices |
| Timeline |
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
| 0.75 | NXGL | Nexgel Inc | PairCorr |
| 0.68 | ALK | Alaska Air Group Fiscal Year End 23rd of January 2025 | PairCorr |
| 0.65 | URBN | Urban Outfitters | PairCorr |
| 0.52 | GDYN | Grid Dynamics Holdings | PairCorr |
| 0.51 | GLFH | Galenfeha | 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.