Oxford Income Tax Expense from 2010 to 2024
| OXSQ Stock | USD 2.66 0.01 0.38% |
Income Tax Expense | First Reported 2003-12-31 | Previous Quarter -43.8 K | Current Value -43.3 K | Quarterly Volatility 11.1 M |
Check Oxford Square financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Oxford Square's main balance sheet or income statement drivers, such as Interest Expense of 9.2 M, Selling General Administrative of 2.2 T or Total Revenue of 20 M, as well as many indicators such as Price To Sales Ratio of 4.21, Dividend Yield of 0.1 or PTB Ratio of 0.7. Oxford financial statements analysis is a perfect complement when working with Oxford Square Valuation or Volatility modules.
Oxford | Income Tax Expense |
Latest Oxford Square's Income Tax Expense Growth Pattern
Below is the plot of the Income Tax Expense of Oxford Square Capital over the last few years. It is Oxford Square's Income Tax Expense historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Oxford Square's overall financial position and show how it may be relating to other accounts over time.
| Income Tax Expense | 10 Years Trend |
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Income Tax Expense |
| Timeline |
Oxford Income Tax Expense Regression Statistics
| Arithmetic Mean | 6,233,116 | |
| Geometric Mean | 0.00 | |
| Coefficient Of Variation | 289.91 | |
| Mean Deviation | 13,171,470 | |
| Median | 0.00 | |
| Standard Deviation | 18,070,450 | |
| Sample Variance | 326.5T | |
| Range | 72.9M | |
| R-Value | 0.62 | |
| Mean Square Error | 215.6T | |
| R-Squared | 0.39 | |
| Significance | 0.01 | |
| Slope | 2,512,984 | |
| Total Sum of Squares | 4571.6T |
Oxford Income Tax Expense History
About Oxford Square Financial Statements
Oxford Square shareholders use historical fundamental indicators, such as Income Tax Expense, to determine how well the company is positioned to perform in the future. Although Oxford Square investors may analyze each financial statement separately, they are all interrelated. The changes in Oxford Square's assets and liabilities, for example, are also reflected in the revenues and expenses on on Oxford Square'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 | ||
| Income Tax Expense | 28.3 M | 29.7 M |
Pair Trading with Oxford Square
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 Square 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 Square will appreciate offsetting losses from the drop in the long position's value.Moving against Oxford Stock
| 0.72 | FDUS | Fidus Investment Corp | PairCorr |
| 0.5 | ECPG | Encore Capital Group | PairCorr |
| 0.5 | AGM | Federal Agricultural | PairCorr |
| 0.5 | AXP | American Express Fiscal Year End 24th of January 2025 | PairCorr |
| 0.48 | ENVA | Enova International | PairCorr |
The ability to find closely correlated positions to Oxford Square 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 Square 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 Square - 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 Square Capital to buy it.
The correlation of Oxford Square 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 Square moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Oxford Square 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 Square 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 Oxford Stock Analysis
When running Oxford Square's price analysis, check to measure Oxford Square'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 Square is operating at the current time. Most of Oxford Square's value examination focuses on studying past and present price action to predict the probability of Oxford Square'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 Square's price. Additionally, you may evaluate how the addition of Oxford Square to your portfolios can decrease your overall portfolio volatility.