Oxbridge Enterprise Value Multiple from 2010 to 2024
| OXBR Stock | USD 3.05 0.04 1.29% |
Enterprise Value Multiple | First Reported 2010-12-31 | Previous Quarter (0.30) | Current Value (0.29) | Quarterly Volatility 14.82501932 |
Check Oxbridge financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Oxbridge's main balance sheet or income statement drivers, such as Interest Expense of 2.2 M, Selling General Administrative of 1.4 M or Other Operating Expenses of 2.1 M, as well as many indicators such as Dividend Yield of 0.0, Ptb Ratio of 1.6 or Days Sales Outstanding of 72.46. Oxbridge financial statements analysis is a perfect complement when working with Oxbridge Valuation or Volatility modules.
Oxbridge | Enterprise Value Multiple |
Latest Oxbridge's Enterprise Value Multiple Growth Pattern
Below is the plot of the Enterprise Value Multiple of Oxbridge Re Holdings over the last few years. It is Oxbridge's Enterprise Value Multiple historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Oxbridge's overall financial position and show how it may be relating to other accounts over time.
| Enterprise Value Multiple | 10 Years Trend |
|
Enterprise Value Multiple |
| Timeline |
Oxbridge Enterprise Value Multiple Regression Statistics
| Arithmetic Mean | 4.14 | |
| Coefficient Of Variation | 358.47 | |
| Mean Deviation | 7.43 | |
| Median | (0.23) | |
| Standard Deviation | 14.83 | |
| Sample Variance | 219.78 | |
| Range | 60.5533 | |
| R-Value | 0.20 | |
| Mean Square Error | 227.34 | |
| R-Squared | 0.04 | |
| Significance | 0.48 | |
| Slope | 0.66 | |
| Total Sum of Squares | 3,077 |
Oxbridge Enterprise Value Multiple History
About Oxbridge Financial Statements
Oxbridge shareholders use historical fundamental indicators, such as Enterprise Value Multiple, to determine how well the company is positioned to perform in the future. Although Oxbridge investors may analyze each financial statement separately, they are all interrelated. The changes in Oxbridge's assets and liabilities, for example, are also reflected in the revenues and expenses on on Oxbridge'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 | ||
| Enterprise Value Multiple | (0.30) | (0.29) |
Pair Trading with Oxbridge
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 Oxbridge 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 Oxbridge will appreciate offsetting losses from the drop in the long position's value.Moving together with Oxbridge Stock
| 0.76 | BNT | Brookfield Wealth Symbol Change | PairCorr |
Moving against Oxbridge Stock
| 0.37 | HG | Hamilton Insurance Group, Normal Trading | PairCorr |
The ability to find closely correlated positions to Oxbridge could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Oxbridge 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 Oxbridge - 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 Oxbridge Re Holdings to buy it.
The correlation of Oxbridge 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 Oxbridge moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Oxbridge Re Holdings 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 Oxbridge 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 Oxbridge Stock Analysis
When running Oxbridge's price analysis, check to measure Oxbridge'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 Oxbridge is operating at the current time. Most of Oxbridge's value examination focuses on studying past and present price action to predict the probability of Oxbridge's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Oxbridge's price. Additionally, you may evaluate how the addition of Oxbridge to your portfolios can decrease your overall portfolio volatility.