Oxford Payables Turnover from 2010 to 2024
| OXLCN Stock | USD 24.02 0.07 0.29% |
Payables Turnover | First Reported 2010-12-31 | Previous Quarter 32.00888625 | Current Value 30.41 | Quarterly Volatility 802.04405769 |
Check Oxford Lane financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Oxford Lane's main balance sheet or income statement drivers, such as Depreciation And Amortization of 0.95, Interest Expense of 34.5 M or Selling General Administrative of 2.9 M, as well as many indicators such as Price To Sales Ratio of 3.48, Dividend Yield of 0.12 or PTB Ratio of 0.86. Oxford financial statements analysis is a perfect complement when working with Oxford Lane Valuation or Volatility modules.
Oxford | Payables Turnover |
Latest Oxford Lane's Payables Turnover Growth Pattern
Below is the plot of the Payables Turnover of Oxford Lane Capital over the last few years. It is a liquidity ratio that shows how quickly a company pays off its suppliers by dividing total purchases by average accounts payable. Oxford Lane's Payables Turnover historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Oxford Lane's overall financial position and show how it may be relating to other accounts over time.
| Payables Turnover | 10 Years Trend |
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Payables Turnover |
| Timeline |
Oxford Payables Turnover Regression Statistics
| Arithmetic Mean | 493.55 | |
| Geometric Mean | 54.75 | |
| Coefficient Of Variation | 162.50 | |
| Mean Deviation | 602.33 | |
| Median | 37.81 | |
| Standard Deviation | 802.04 | |
| Sample Variance | 643,275 | |
| Range | 2.3K | |
| R-Value | 0.37 | |
| Mean Square Error | 597,325 | |
| R-Squared | 0.14 | |
| Significance | 0.17 | |
| Slope | 66.56 | |
| Total Sum of Squares | 9M |
Oxford Payables Turnover History
About Oxford Lane Financial Statements
Oxford Lane investors utilize fundamental indicators, such as Payables Turnover, to predict how Oxford Stock might perform in the future. Analyzing these trends over time helps investors make informed market timing decisions. For further insights, please visit our fundamental analysis page.
| Last Reported | Projected for Next Year | ||
| Payables Turnover | 32.01 | 30.41 |
Pair Trading with Oxford Lane
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 Oxford Lane 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 Oxford Lane will appreciate offsetting losses from the drop in the long position's value.Moving against Oxford Stock
The ability to find closely correlated positions to Oxford Lane could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Oxford Lane 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 Oxford Lane - 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 Oxford Lane Capital to buy it.
The correlation of Oxford Lane 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 Oxford Lane moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Oxford Lane Capital 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 Oxford Lane 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.Check out the analysis of Oxford Lane Correlation against competitors. You can also try the Latest Portfolios module to quick portfolio dashboard that showcases your latest portfolios.
Is Asset Management & Custody Banks space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Oxford Lane. If investors know Oxford will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Oxford Lane listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth (0.65) | Dividend Share 0.99 | Earnings Share 0.871 | Revenue Per Share 1.058 | Quarterly Revenue Growth 0.345 |
The market value of Oxford Lane Capital is measured differently than its book value, which is the value of Oxford that is recorded on the company's balance sheet. Investors also form their own opinion of Oxford Lane's value that differs from its market value or its book value, called intrinsic value, which is Oxford Lane's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Oxford Lane's market value can be influenced by many factors that don't directly affect Oxford Lane's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Oxford Lane's value and its price as these two are different measures arrived at by different means. Investors typically determine if Oxford Lane is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Oxford Lane's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.