Morgan Short Long Term Debt Total from 2010 to 2025

MS-PQ Stock   26.08  0.03  0.12%   
Morgan Stanley Short and Long Term Debt Total yearly trend continues to be relatively stable with very little volatility. Short and Long Term Debt Total is likely to grow to about 325.9 B this year. During the period from 2010 to 2025, Morgan Stanley Short and Long Term Debt Total destribution of quarterly values had range of 325.6 B from its regression line and mean deviation of  48,782,230,078. View All Fundamentals
 
Short and Long Term Debt Total  
First Reported
1985-12-31
Previous Quarter
316.3 B
Current Value
310.4 B
Quarterly Volatility
118.3 B
 
Black Monday
 
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 5.4 B, Interest Expense of 47.8 B or Total Revenue of 60.5 B, as well as many indicators such as Price To Sales Ratio of 3.42, Dividend Yield of 0.0391 or PTB Ratio of 1.49. 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 Short Long Term Debt Total Growth Pattern

Below is the plot of the Short Long Term Debt Total of Morgan Stanley over the last few years. It is Morgan Stanley's Short and Long Term Debt 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.
Short Long Term Debt Total10 Years Trend
Slightly volatile
   Short Long Term Debt Total   
       Timeline  

Morgan Short Long Term Debt Total Regression Statistics

Arithmetic Mean207,516,315,625
Geometric Mean144,959,913,227
Coefficient Of Variation35.61
Mean Deviation48,782,230,078
Median207,325,000,000
Standard Deviation73,906,892,248
Sample Variance5462228721.7T
Range325.6B
R-Value0.84
Mean Square Error1748394000.2T
R-Squared0.70
Significance0.000052
Slope12,999,537,868
Total Sum of Squares81933430826T

Morgan Short Long Term Debt Total History

2025325.9 B
2024310.4 B
2023276.4 B
2022246.2 B
2021243.2 B
2020232.9 B
2019207.3 B

About Morgan Stanley Financial Statements

Morgan Stanley shareholders use historical fundamental indicators, such as Short Long Term Debt 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
Short and Long Term Debt Total310.4 B325.9 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

  0.59MS-PE Morgan StanleyPairCorr
  0.56RJF-PB Raymond James FinancialPairCorr
  0.56MS-PF Morgan StanleyPairCorr
  0.44ZBAI ATIF Holdings Limited Symbol ChangePairCorr
  0.38MS-PI Morgan StanleyPairCorr
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.