Morgan Short Term Debt from 2010 to 2026

MS Stock   37.00  0.25  0.68%   
Morgan Stanley Short Term Debt yearly trend continues to be very stable with very little volatility. Short Term Debt is likely to drop to about 478.7 B. During the period from 2010 to 2026, Morgan Stanley Short Term Debt quarterly data regression pattern had sample variance of 403649131.8 T and median of  434,859,000,000. View All Fundamentals
 
Short Term Debt  
First Reported
2010-12-31
Previous Quarter
507.5 B
Current Value
478.7 B
Quarterly Volatility
20.1 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 Short Term Debt 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 Short Term Debt Growth Pattern

Below is the plot of the Short Term Debt of Morgan Stanley CDR over the last few years. It is Morgan Stanley's Short Term Debt 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 Term Debt10 Years Trend
Slightly volatile
   Short Term Debt   
       Timeline  

Morgan Short Term Debt Regression Statistics

Arithmetic Mean441,777,649,020
Geometric Mean441,377,677,238
Coefficient Of Variation4.55
Mean Deviation12,080,674,741
Median434,859,000,000
Standard Deviation20,091,021,173
Sample Variance403649131.8T
Range78B
R-Value0.54
Mean Square Error306467365.8T
R-Squared0.29
Significance0.03
Slope2,135,929,575
Total Sum of Squares6458386108.5T

Morgan Short Term Debt History

2026478.7 B
2025507.5 B
2024441.3 B
2023429.5 B

About Morgan Stanley Financial Statements

Morgan Stanley investors utilize fundamental indicators, such as Short Term Debt, 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
Short Term Debt507.5 B478.7 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

  0.98GS GOLDMAN SACHS CDRPairCorr
  0.72HUT Hut 8 MiningPairCorr

Moving against Morgan Stock

  0.59UBER Uber CDR SplitPairCorr
  0.42BITF BitfarmsPairCorr
  0.41ABBV AbbVie CDRPairCorr
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.