SCI Stock | | | 237.92 0.94 0.39% |
Shipping financial indicator trend analysis is much more than just breaking down Shipping prevalent accounting drivers to predict future trends. We encourage investors to analyze account correlations over time for multiple indicators to determine whether Shipping is a good investment. Please check the relationship between Shipping Other Non Cash Items and its Change In Cash accounts. Check out
World Market Map to better understand how to build diversified portfolios, which includes a position in Shipping. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as
signals in board of governors.
Other Non Cash Items vs Change In Cash
Other Non Cash Items vs Change In Cash Correlation Analysis
The overlapping area represents the amount of trend that can be explained by analyzing historical patterns of
Shipping Other Non Cash Items account and
Change In Cash. At this time, the significance of the direction appears to have strong relationship.
The correlation between Shipping's Other Non Cash Items and Change In Cash is 0.71. Overlapping area represents the amount of variation of Other Non Cash Items that can explain the historical movement of Change In Cash in the same time period over historical financial statements of Shipping, assuming nothing else is changed. The correlation between historical values of Shipping's Other Non Cash Items and Change In Cash is a relative statistical measure of the degree to which these accounts tend to move together. The correlation coefficient measures the extent to which Other Non Cash Items of Shipping are associated (or correlated) with its Change In Cash. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when Change In Cash has no effect on the direction of Other Non Cash Items i.e., Shipping's Other Non Cash Items and Change In Cash go up and down completely randomly.
Correlation Coefficient | 0.71 |
Relationship Direction | Positive |
Relationship Strength | Significant |
Other Non Cash Items
Change In Cash
Most indicators from Shipping's fundamental ratios are interrelated and interconnected. However, analyzing fundamental ratios indicators one by one will only give a small insight into Shipping 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
World Market Map to better understand how to build diversified portfolios, which includes a position in Shipping. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as
signals in board of governors.
As of December 11, 2024,
Selling General Administrative is expected to decline to about 46.5
M. The current year's
Tax Provision is expected to grow to about (319.9
M)
Shipping fundamental ratios Correlations
Click cells to compare fundamentals
Shipping Account Relationship Matchups
High Positive Relationship
High Negative Relationship
Shipping fundamental ratios Accounts
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Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.
Other Information on Investing in Shipping Stock
Balance Sheet is a snapshot of the
financial position of Shipping at a specified time, usually calculated after every quarter, six months, or one year. Shipping Balance Sheet has two main parts: assets and liabilities. Liabilities are the debts or obligations of Shipping and are divided into current liabilities and long term liabilities. An asset, on the other hand, is anything of value that can be converted into cash and which Shipping currently owns. An asset can also be divided into two categories, current and non-current.