Oxford Price To Sales Ratio vs Days Payables Outstanding Analysis
| OXLCZ Stock | USD 23.72 0.04 0.17% |
Oxford Lane financial indicator trend analysis is much more than just breaking down Oxford Lane Capital prevalent accounting drivers to predict future trends. We encourage investors to analyze account correlations over time for multiple indicators to determine whether Oxford Lane Capital is a good investment. Please check the relationship between Oxford Lane Price To Sales Ratio and its Days Payables Outstanding accounts. Check out Your Equity Center to better understand how to build diversified portfolios, which includes a position in Oxford Lane Capital. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in main economic indicators.
Price To Sales Ratio vs Days Payables Outstanding
Price To Sales Ratio vs Days Payables Outstanding Correlation Analysis
The overlapping area represents the amount of trend that can be explained by analyzing historical patterns of Oxford Lane Capital Price To Sales Ratio account and Days Payables Outstanding. At this time, the significance of the direction appears to have totally related.
The correlation between Oxford Lane's Price To Sales Ratio and Days Payables Outstanding is 0.99. Overlapping area represents the amount of variation of Price To Sales Ratio that can explain the historical movement of Days Payables Outstanding in the same time period over historical financial statements of Oxford Lane Capital, assuming nothing else is changed. The correlation between historical values of Oxford Lane's Price To Sales Ratio and Days Payables Outstanding is a relative statistical measure of the degree to which these accounts tend to move together. The correlation coefficient measures the extent to which Price To Sales Ratio of Oxford Lane Capital are associated (or correlated) with its Days Payables Outstanding. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when Days Payables Outstanding has no effect on the direction of Price To Sales Ratio i.e., Oxford Lane's Price To Sales Ratio and Days Payables Outstanding go up and down completely randomly.
Correlation Coefficient | 0.99 |
| Relationship Direction | Positive |
| Relationship Strength | Very Strong |
Price To Sales Ratio
Price to Sales Ratio is figured by comparing Oxford Lane Capital stock price to its revenues. An advantage to using Price to Sales ratio is that it is based on Oxford Lane sales, a figure that is much harder to manipulate than other Oxford Lane Capital multiples. Because sales tend to be more stable P/S ratio can be a good tool for screening cyclical companies fluctuating earnings patterns. A valuation ratio that compares a company's stock price to its revenues, calculated by dividing the company's market cap by its total sales or revenue over a 12-month period.Days Payables Outstanding
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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.Additional Tools for Oxford Stock Analysis
When running Oxford Lane's price analysis, check to measure Oxford Lane'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 Oxford Lane is operating at the current time. Most of Oxford Lane's value examination focuses on studying past and present price action to predict the probability of Oxford Lane's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Oxford Lane's price. Additionally, you may evaluate how the addition of Oxford Lane to your portfolios can decrease your overall portfolio volatility.