Xenia Other Operating Expenses from 2010 to 2024
XHR Stock | USD 15.53 0.15 0.96% |
Other Operating Expenses | First Reported 2013-12-31 | Previous Quarter 242.6 M | Current Value 175.7 M | Quarterly Volatility 48.2 M |
Check Xenia Hotels financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Xenia Hotels' main balance sheet or income statement drivers, such as Depreciation And Amortization of 125.4 M, Interest Expense of 65.2 M or Selling General Administrative of 33.9 M, as well as many indicators such as Price To Sales Ratio of 1.37, Dividend Yield of 0.0288 or PTB Ratio of 1.43. Xenia financial statements analysis is a perfect complement when working with Xenia Hotels Valuation or Volatility modules.
Xenia | Other Operating Expenses |
Latest Xenia Hotels' Other Operating Expenses Growth Pattern
Below is the plot of the Other Operating Expenses of Xenia Hotels Resorts over the last few years. Other Operating Expenses is the expense which generally does not depend on sales or production quantities of Xenia Hotels Resorts. It is also known as Xenia Hotels overhead expenses. Typically these expenses include marketing, rent and utilities, office, leases, and other overhead cost. It is expenses incurred from non-core business activities, including administrative and general expenses, but excluding costs directly related to production. Xenia Hotels' Other Operating Expenses historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Xenia Hotels' overall financial position and show how it may be relating to other accounts over time.
Other Operating Expenses | 10 Years Trend |
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Other Operating Expenses |
Timeline |
Xenia Other Operating Expenses Regression Statistics
Arithmetic Mean | 739,366,421 | |
Geometric Mean | 711,922,469 | |
Coefficient Of Variation | 26.56 | |
Mean Deviation | 172,372,870 | |
Median | 828,468,000 | |
Standard Deviation | 196,347,121 | |
Sample Variance | 38552.2T | |
Range | 571.6M | |
R-Value | 0.65 | |
Mean Square Error | 23888.4T | |
R-Squared | 0.42 | |
Significance | 0.01 | |
Slope | 28,609,554 | |
Total Sum of Squares | 539730.7T |
Xenia Other Operating Expenses History
About Xenia Hotels Financial Statements
Xenia Hotels shareholders use historical fundamental indicators, such as Other Operating Expenses, to determine how well the company is positioned to perform in the future. Although Xenia Hotels investors may analyze each financial statement separately, they are all interrelated. The changes in Xenia Hotels' assets and liabilities, for example, are also reflected in the revenues and expenses on on Xenia Hotels' 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 | ||
Other Operating Expenses | 927.8 M | 857.1 M |
Pair Trading with Xenia Hotels
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 Xenia Hotels 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 Xenia Hotels will appreciate offsetting losses from the drop in the long position's value.Moving together with Xenia Stock
Moving against Xenia Stock
0.58 | NTST | Netstreit Corp | PairCorr |
0.47 | HPP | Hudson Pacific Properties | PairCorr |
0.36 | NNN | National Retail Prop | PairCorr |
0.33 | O | Realty Income | PairCorr |
The ability to find closely correlated positions to Xenia Hotels could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Xenia Hotels 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 Xenia Hotels - 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 Xenia Hotels Resorts to buy it.
The correlation of Xenia Hotels 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 Xenia Hotels moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Xenia Hotels Resorts 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 Xenia Hotels 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 Xenia Stock Analysis
When running Xenia Hotels' price analysis, check to measure Xenia Hotels' 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 Xenia Hotels is operating at the current time. Most of Xenia Hotels' value examination focuses on studying past and present price action to predict the probability of Xenia Hotels' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Xenia Hotels' price. Additionally, you may evaluate how the addition of Xenia Hotels to your portfolios can decrease your overall portfolio volatility.