Morgan Non Current Assets Total from 2010 to 2024

MS-PQ Stock   26.75  0.02  0.07%   
Morgan Stanley Non Current Assets Total yearly trend continues to be relatively stable with very little volatility. Non Current Assets Total are likely to drop to about 22.6 B. Non Current Assets Total is the total value of a company's long-term assets, which are not expected to be converted into cash or used up within one year or the operating cycle, including property, plant, and equipment, and intangible assets. View All Fundamentals
 
Non Current Assets Total  
First Reported
1989-06-30
Previous Quarter
1.5 T
Current Value
1.2 T
Quarterly Volatility
307.9 B
 
Oil Shock
 
Dot-com Bubble
 
Housing Crash
 
Credit Downgrade
 
Yuan Drop
 
Covid
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 Depreciation And Amortization of 4.5 B, Interest Expense of 44.2 B or Total Revenue of 56.3 B, as well as many indicators such as Price To Sales Ratio of 2.97, Dividend Yield of 0.0393 or PTB Ratio of 1.46. Morgan financial statements analysis is a perfect complement when working with Morgan Stanley Valuation or Volatility modules.
  
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.

Latest Morgan Stanley's Non Current Assets Total Growth Pattern

Below is the plot of the Non Current Assets Total of Morgan Stanley over the last few years. It is the total value of a company's long-term assets, which are not expected to be converted into cash or used up within one year or the operating cycle, including property, plant, and equipment, and intangible assets. Morgan Stanley's Non Current Assets Total 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.
Non Current Assets Total10 Years Trend
Slightly volatile
   Non Current Assets Total   
       Timeline  

Morgan Non Current Assets Total Regression Statistics

Arithmetic Mean416,114,653,333
Geometric Mean232,243,246,481
Coefficient Of Variation64.33
Mean Deviation230,901,703,111
Median588,840,000,000
Standard Deviation267,666,568,284
Sample Variance71645391777T
Range675.3B
R-Value(0.56)
Mean Square Error53277570736.1T
R-Squared0.31
Significance0.03
Slope(33,296,667,857)
Total Sum of Squares1003035484877.8T

Morgan Non Current Assets Total History

202422.6 B
202323.8 B
202264.8 B
2021399 B
2020379 B
2019283.8 B
2018605.5 B

About Morgan Stanley Financial Statements

Morgan Stanley shareholders use historical fundamental indicators, such as Non Current Assets Total, to determine how well the company is positioned to perform in the future. Although Morgan Stanley investors may analyze each financial statement separately, they are all interrelated. The changes in Morgan Stanley's assets and liabilities, for example, are also reflected in the revenues and expenses on on Morgan Stanley's 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
Non Current Assets Total23.8 B22.6 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 against Morgan Stock

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  0.46HLI Houlihan LokeyPairCorr
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 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 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

Additional Tools for Morgan Stock Analysis

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