Interactive Cash Conversion Cycle from 2010 to 2024

IBKR Stock  USD 191.62  0.09  0.05%   
Interactive Brokers Cash Conversion Cycle yearly trend continues to be relatively stable with very little volatility. Cash Conversion Cycle is likely to drop to about -49.4 K. During the period from 2010 to 2024, Interactive Brokers Cash Conversion Cycle destribution of quarterly values had r-value of  0.37 from its regression line and median of (40,889). View All Fundamentals
 
Cash Conversion Cycle  
First Reported
2010-12-31
Previous Quarter
-47 K
Current Value
-49.4 K
Quarterly Volatility
7.7 M
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check Interactive Brokers financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Interactive Brokers' main balance sheet or income statement drivers, such as Depreciation And Amortization of 183.9 M, Interest Expense of 3.6 B or Selling General Administrative of 204.5 M, as well as many indicators such as Price To Sales Ratio of 1.2, Dividend Yield of 0.0046 or PTB Ratio of 1.38. Interactive financial statements analysis is a perfect complement when working with Interactive Brokers Valuation or Volatility modules.
  
Check out the analysis of Interactive Brokers Correlation against competitors.

Latest Interactive Brokers' Cash Conversion Cycle Growth Pattern

Below is the plot of the Cash Conversion Cycle of Interactive Brokers Group over the last few years. It is Interactive Brokers' Cash Conversion Cycle historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Interactive Brokers' overall financial position and show how it may be relating to other accounts over time.
Cash Conversion Cycle10 Years Trend
Slightly volatile
   Cash Conversion Cycle   
       Timeline  

Interactive Cash Conversion Cycle Regression Statistics

Arithmetic Mean(2,025,300)
Coefficient Of Variation(379.45)
Mean Deviation3,703,947
Median(40,889)
Standard Deviation7,684,997
Sample Variance59.1T
Range29.8M
R-Value0.37
Mean Square Error54.9T
R-Squared0.14
Significance0.17
Slope637,145
Total Sum of Squares826.8T

Interactive Cash Conversion Cycle History

2024-49.4 K
2023-47 K
2012-40.9 K
2011-29.8 M
2010-28.4 K

About Interactive Brokers Financial Statements

Interactive Brokers shareholders use historical fundamental indicators, such as Cash Conversion Cycle, to determine how well the company is positioned to perform in the future. Although Interactive Brokers investors may analyze each financial statement separately, they are all interrelated. The changes in Interactive Brokers' assets and liabilities, for example, are also reflected in the revenues and expenses on on Interactive Brokers' 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
Cash Conversion Cycle-47 K-49.4 K

Pair Trading with Interactive Brokers

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 Interactive Brokers 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 Interactive Brokers will appreciate offsetting losses from the drop in the long position's value.

Moving together with Interactive Stock

  0.82V Visa Class APairCorr
  0.73DHIL Diamond Hill InvestmentPairCorr
  0.95DIST Distoken AcquisitionPairCorr
  0.73AB AllianceBernsteinPairCorr
  0.78AC Associated CapitalPairCorr

Moving against Interactive Stock

  0.84XP Xp IncPairCorr
  0.78WU Western UnionPairCorr
  0.65PT Pintec TechnologyPairCorr
  0.6RM Regional Management CorpPairCorr
  0.32DMYY dMY Squared TechnologyPairCorr
The ability to find closely correlated positions to Interactive Brokers could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Interactive Brokers 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 Interactive Brokers - 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 Interactive Brokers Group to buy it.
The correlation of Interactive Brokers 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 Interactive Brokers moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Interactive Brokers 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 Interactive Brokers 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 Interactive Stock Analysis

When running Interactive Brokers' price analysis, check to measure Interactive Brokers' 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 Interactive Brokers is operating at the current time. Most of Interactive Brokers' value examination focuses on studying past and present price action to predict the probability of Interactive Brokers' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Interactive Brokers' price. Additionally, you may evaluate how the addition of Interactive Brokers to your portfolios can decrease your overall portfolio volatility.