Morgan Total Cash From Operating Activities from 2010 to 2026

MS Stock   36.86  0.96  2.67%   
Morgan Stanley Total Cash From Operating Activities yearly trend continues to be very stable with very little volatility. Total Cash From Operating Activities is likely to grow to about 1.6 B this year. During the period from 2010 to 2026, Morgan Stanley Total Cash From Operating Activities quarterly data regression pattern had sample variance of 57758690.6 T and median of (6,397,000,000). View All Fundamentals
 
Total Cash From Operating Activities  
First Reported
2010-12-31
Previous Quarter
1.6 B
Current Value
1.6 B
Quarterly Volatility
7.6 B
 
Credit Downgrade
 
Yuan Drop
 
Covid
 
Interest Hikes
Check Morgan Stanley financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Morgan Stanley's main balance sheet or income statement drivers, such as Tax Provision of 4 B, Selling General Administrative of 38.9 B or Total Revenue of 107 B, as well as many indicators such as . Morgan financial statements analysis is a perfect complement when working with Morgan Stanley Valuation or Volatility modules.
  
This module can also supplement various Morgan Stanley Technical models . Check out the analysis of Morgan Stanley Correlation against competitors.
To learn how to invest in Morgan Stock, please use our How to Invest in Morgan Stanley guide.
Evaluating Morgan Stanley's Total Cash From Operating Activities across multiple reporting periods reveals the company's ability to sustain growth and manage resources effectively. This longitudinal analysis highlights inflection points, cyclical patterns, and structural changes that short-term snapshots might miss, offering deeper insight into Morgan Stanley CDR's fundamental strength.

Latest Morgan Stanley's Total Cash From Operating Activities Growth Pattern

Below is the plot of the Total Cash From Operating Activities of Morgan Stanley CDR over the last few years. It is Morgan Stanley's Total Cash From Operating Activities historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Morgan Stanley's overall financial position and show how it may be relating to other accounts over time.
Total Cash From Operating Activities10 Years Trend
Very volatile
   Total Cash From Operating Activities   
       Timeline  

Morgan Total Cash From Operating Activities Regression Statistics

Arithmetic Mean(6,595,534,412)
Geometric Mean5,471,878,906
Coefficient Of Variation(115.23)
Mean Deviation3,169,466,540
Median(6,397,000,000)
Standard Deviation7,599,913,857
Sample Variance57758690.6T
Range35.2B
R-Value0.05
Mean Square Error61452901.5T
R-Squared0
Significance0.85
Slope75,821,127
Total Sum of Squares924139050.2T

Morgan Total Cash From Operating Activities History

20261.6 B
20251.6 B
20241.4 B
2023-33.5 B

About Morgan Stanley Financial Statements

Morgan Stanley investors utilize fundamental indicators, such as Total Cash From Operating Activities, to predict how Morgan Stock might perform in the future. Analyzing these trends over time helps investors make informed market timing decisions. For further insights, please visit our fundamental analysis page.
Last ReportedProjected for Next Year
Total Cash From Operating Activities1.6 B1.6 B

Pair Trading with Morgan Stanley

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 Morgan Stanley 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 Morgan Stanley will appreciate offsetting losses from the drop in the long position's value.

Moving together with Morgan Stock

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Moving against Morgan Stock

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The ability to find closely correlated positions to Morgan Stanley could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Morgan Stanley 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 Morgan Stanley - 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 Morgan Stanley CDR to buy it.
The correlation of Morgan Stanley 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 Morgan Stanley moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Morgan Stanley CDR 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 Morgan Stanley 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

Other Information on Investing in Morgan Stock

Morgan Stanley financial ratios help investors to determine whether Morgan Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Morgan with respect to the benefits of owning Morgan Stanley security.