Income Payout Ratio from 2010 to 2024
| IOR Stock | USD 17.81 1.14 6.02% |
Payout Ratio | First Reported 2010-12-31 | Previous Quarter 0.0367 | Current Value 0.0385 | Quarterly Volatility 0.04447741 |
Check Income Opportunity financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Income Opportunity's main balance sheet or income statement drivers, such as Interest Expense of 1.8 M, Total Revenue of 5.4 M or Gross Profit of 5.2 M, as well as many indicators such as Price To Sales Ratio of 9.16, Dividend Yield of 0.0931 or PTB Ratio of 0.32. Income financial statements analysis is a perfect complement when working with Income Opportunity Valuation or Volatility modules.
Income | Payout Ratio |
Latest Income Opportunity's Payout Ratio Growth Pattern
Below is the plot of the Payout Ratio of Income Opportunity Realty over the last few years. Payout Ratio is the proportion of Income Opportunity Realty earnings paid out as dividends to shareholders. Payout Ratio is typically expressed as a percentage but can be shown as dividends paid out as a proportion of cash flow. The payout ratio is used to determine the sustainability of Income Opportunity Realty dividend payments. A lower payout ratio is generally preferable to a higher payout ratio, with a ratio greater than 100% indicating Income Opportunity Realty is paying out more in dividends than it makes in net income. It is Income Opportunity's Payout Ratio historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Income Opportunity's overall financial position and show how it may be relating to other accounts over time.
| Payout Ratio | 10 Years Trend |
|
Payout Ratio |
| Timeline |
Income Payout Ratio Regression Statistics
| Arithmetic Mean | 0.03 | |
| Coefficient Of Variation | 154.15 | |
| Mean Deviation | 0.02 | |
| Median | 0.04 | |
| Standard Deviation | 0.04 | |
| Sample Variance | 0 | |
| Range | 0.1727 | |
| R-Value | 0.42 | |
| Mean Square Error | 0 | |
| R-Squared | 0.18 | |
| Significance | 0.12 | |
| Slope | 0 | |
| Total Sum of Squares | 0.03 |
Income Payout Ratio History
Other Fundumenentals of Income Opportunity Realty
Income Opportunity Payout Ratio component correlations
Click cells to compare fundamentals
About Income Opportunity Financial Statements
Income Opportunity shareholders use historical fundamental indicators, such as Payout Ratio, to determine how well the company is positioned to perform in the future. Although Income Opportunity investors may analyze each financial statement separately, they are all interrelated. The changes in Income Opportunity's assets and liabilities, for example, are also reflected in the revenues and expenses on on Income Opportunity'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 | ||
| Payout Ratio | 0.04 | 0.04 | |
| Dividend Payout Ratio | 0.04 | 0.04 |
Pair Trading with Income Opportunity
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 Income Opportunity 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 Income Opportunity will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Income Opportunity could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Income Opportunity 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 Income Opportunity - 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 Income Opportunity Realty to buy it.
The correlation of Income Opportunity 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 Income Opportunity moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Income Opportunity Realty 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 Income Opportunity 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 Income Stock Analysis
When running Income Opportunity's price analysis, check to measure Income Opportunity'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 Income Opportunity is operating at the current time. Most of Income Opportunity's value examination focuses on studying past and present price action to predict the probability of Income Opportunity's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Income Opportunity's price. Additionally, you may evaluate how the addition of Income Opportunity to your portfolios can decrease your overall portfolio volatility.