Xenia Total Other Income Expense Net from 2010 to 2024

XHR Stock  USD 15.21  0.98  6.89%   
Xenia Hotels Total Other Income Expense Net yearly trend continues to be relatively stable with very little volatility. Total Other Income Expense Net is likely to grow to about -72.3 M this year. During the period from 2010 to 2024, Xenia Hotels Total Other Income Expense Net destribution of quarterly values had range of 239.9 M from its regression line and mean deviation of  46,157,441. View All Fundamentals
 
Total Other Income Expense Net  
First Reported
2013-12-31
Previous Quarter
-17.2 M
Current Value
-18.3 M
Quarterly Volatility
25.3 M
 
Yuan Drop
 
Covid
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 974.5 M, Interest Expense of 65 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.
  
Check out the analysis of Xenia Hotels Correlation against competitors.

Latest Xenia Hotels' Total Other Income Expense Net Growth Pattern

Below is the plot of the Total Other Income Expense Net of Xenia Hotels Resorts over the last few years. It is Xenia Hotels' Total Other Income Expense Net 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.
Total Other Income Expense Net10 Years Trend
Slightly volatile
   Total Other Income Expense Net   
       Timeline  

Xenia Total Other Income Expense Net Regression Statistics

Arithmetic Mean(11,114,423)
Geometric Mean25,295,108
Coefficient Of Variation(548.88)
Mean Deviation46,157,441
Median(4,261,000)
Standard Deviation61,004,887
Sample Variance3721.6T
Range239.9M
R-Value(0.31)
Mean Square Error3613.2T
R-Squared0.1
Significance0.25
Slope(4,280,487)
Total Sum of Squares52102.3T

Xenia Total Other Income Expense Net History

2024-72.3 M
2023-76.1 M
2022-51.6 M
2021-111.5 M
202058.9 M
2019-48.9 M
2018128.4 M

About Xenia Hotels Financial Statements

Xenia Hotels shareholders use historical fundamental indicators, such as Total Other Income Expense Net, 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 ReportedProjected for Next Year
Total Other Income Expense Net-76.1 M-72.3 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 against Xenia Stock

  0.64PW Power REITPairCorr
  0.39O Realty IncomePairCorr
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.
Pair CorrelationCorrelation Matching

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.