Ingersoll Short Term Coverage Ratios from 2010 to 2025
| IR Stock | USD 91.88 1.13 1.25% |
Short Term Coverage Ratios | First Reported 2010-12-31 | Previous Quarter 42.31 | Current Value 44.42 | Quarterly Volatility 18.3809234 |
Check Ingersoll Rand financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Ingersoll Rand's main balance sheet or income statement drivers, such as Interest Expense of 189.2 M, Selling General Administrative of 2 B or Total Revenue of 6.1 B, as well as many indicators such as Price To Sales Ratio of 4.81, Dividend Yield of 0.0018 or PTB Ratio of 3.5. Ingersoll financial statements analysis is a perfect complement when working with Ingersoll Rand Valuation or Volatility modules.
Ingersoll | Short Term Coverage Ratios |
Latest Ingersoll Rand's Short Term Coverage Ratios Growth Pattern
Below is the plot of the Short Term Coverage Ratios of Ingersoll Rand over the last few years. It is Ingersoll Rand's Short Term Coverage Ratios historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Ingersoll Rand's overall financial position and show how it may be relating to other accounts over time.
| Short Term Coverage Ratios | 10 Years Trend |
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Short Term Coverage Ratios |
| Timeline |
Ingersoll Short Term Coverage Ratios Regression Statistics
| Arithmetic Mean | 22.14 | |
| Geometric Mean | 15.57 | |
| Coefficient Of Variation | 83.01 | |
| Mean Deviation | 15.80 | |
| Median | 15.86 | |
| Standard Deviation | 18.38 | |
| Sample Variance | 337.86 | |
| Range | 49.4952 | |
| R-Value | 0.73 | |
| Mean Square Error | 167.38 | |
| R-Squared | 0.54 | |
| Significance | 0 | |
| Slope | 2.83 | |
| Total Sum of Squares | 5,068 |
Ingersoll Short Term Coverage Ratios History
About Ingersoll Rand Financial Statements
Ingersoll Rand shareholders use historical fundamental indicators, such as Short Term Coverage Ratios, to determine how well the company is positioned to perform in the future. Although Ingersoll Rand investors may analyze each financial statement separately, they are all interrelated. The changes in Ingersoll Rand's assets and liabilities, for example, are also reflected in the revenues and expenses on on Ingersoll Rand's income statement. Understanding these patterns can help investors time the market effectively. Please read more on our fundamental analysis page.
| Last Reported | Projected for Next Year | ||
| Short Term Coverage Ratios | 42.31 | 44.42 |
Pair Trading with Ingersoll Rand
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 Ingersoll Rand 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 Ingersoll Rand will appreciate offsetting losses from the drop in the long position's value.Moving together with Ingersoll Stock
Moving against Ingersoll Stock
| 0.79 | RR | Richtech Robotics Class Downward Rally | PairCorr |
| 0.7 | B | Barnes Group Earnings Call This Week | PairCorr |
The ability to find closely correlated positions to Ingersoll Rand could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Ingersoll Rand 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 Ingersoll Rand - 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 Ingersoll Rand to buy it.
The correlation of Ingersoll Rand 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 Ingersoll Rand moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Ingersoll Rand 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 Ingersoll Rand 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 Ingersoll Stock Analysis
When running Ingersoll Rand's price analysis, check to measure Ingersoll Rand'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 Ingersoll Rand is operating at the current time. Most of Ingersoll Rand's value examination focuses on studying past and present price action to predict the probability of Ingersoll Rand's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Ingersoll Rand's price. Additionally, you may evaluate how the addition of Ingersoll Rand to your portfolios can decrease your overall portfolio volatility.