| EXTR Stock | | | USD 16.03 0.37 2.36% |
Extreme Networks financial indicator trend analysis is much more than just examining Extreme Networks latest accounting drivers to predict future trends. We encourage investors to analyze account correlations over time for multiple indicators to determine whether Extreme Networks is a good investment. Please check the relationship between Extreme Networks Total Other Income Expense Net and its Interest Expense accounts. Check out
Investing Opportunities to better understand how to build diversified portfolios, which includes a position in Extreme Networks. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as
signals in estimate.
To learn how to invest in Extreme Stock, please use our
How to Invest in Extreme Networks guide.
Total Other Income Expense Net vs Interest Expense
Total Other Income Expense Net vs Interest Expense Correlation Analysis
The overlapping area represents the amount of trend that can be explained by analyzing historical patterns of
Extreme Networks Total Other Income Expense Net account and
Interest Expense. At this time, the significance of the direction appears to have strong contrarian relationship.
The correlation between Extreme Networks' Total Other Income Expense Net and Interest Expense is -0.69. Overlapping area represents the amount of variation of Total Other Income Expense Net that can explain the historical movement of Interest Expense in the same time period over historical financial statements of Extreme Networks, assuming nothing else is changed. The correlation between historical values of Extreme Networks' Total Other Income Expense Net and Interest Expense is a relative statistical measure of the degree to which these accounts tend to move together. The correlation coefficient measures the extent to which Total Other Income Expense Net of Extreme Networks are associated (or correlated) with its Interest Expense. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when Interest Expense has no effect on the direction of Total Other Income Expense Net i.e., Extreme Networks' Total Other Income Expense Net and Interest Expense go up and down completely randomly.
Correlation Coefficient | -0.69 |
| Relationship Direction | Negative |
| Relationship Strength | Weak |
Total Other Income Expense Net
Interest Expense
The cost incurred by an entity for borrowed funds, including loans, bonds, or lines of credit.
Most indicators from Extreme Networks' fundamental ratios are interrelated and interconnected. However, analyzing fundamental ratios indicators one by one will only give a small insight into Extreme Networks current financial condition. On the other hand, looking into the entire matrix of fundamental ratios indicators, and analyzing their relationships over time can provide a more complete picture of the company financial strength now and in the future. Check out
Investing Opportunities to better understand how to build diversified portfolios, which includes a position in Extreme Networks. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as
signals in estimate.
To learn how to invest in Extreme Stock, please use our
How to Invest in Extreme Networks guide.As of 11/24/2024,
Issuance Of Capital Stock is likely to grow to about 6.6
M, while
Selling General Administrative is likely to drop slightly above 55.7
M.
Extreme Networks fundamental ratios Correlations
Click cells to compare fundamentals
Extreme Networks Account Relationship Matchups
High Positive Relationship
High Negative Relationship
Extreme Networks fundamental ratios Accounts
Pair Trading with Extreme Networks
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 Extreme Networks 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 Extreme Networks will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to Extreme Networks could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Extreme Networks 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 Extreme Networks - 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 Extreme Networks to buy it.
The correlation of Extreme Networks 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 Extreme Networks moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Extreme Networks 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 Extreme Networks 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 Extreme Stock Analysis
When running Extreme Networks' price analysis, check to
measure Extreme Networks' 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 Extreme Networks is operating at the current time. Most of Extreme Networks' value examination focuses on studying past and present price action to
predict the probability of Extreme Networks' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Extreme Networks' price. Additionally, you may evaluate how the addition of Extreme Networks to your portfolios can decrease your overall portfolio volatility.