Morgan Receivables Turnover from 2010 to 2024

MS-PQ Stock   26.60  0.09  0.34%   
Morgan Stanley Receivables Turnover yearly trend continues to be relatively stable with very little volatility. Receivables Turnover is likely to grow to 1.22 this year. During the period from 2010 to 2024, Morgan Stanley Receivables Turnover destribution of quarterly values had range of 0.6799 from its regression line and mean deviation of  0.07. View All Fundamentals
 
Receivables Turnover  
First Reported
2010-12-31
Previous Quarter
0.87
Current Value
1.22
Quarterly Volatility
0.14372521
 
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 Receivables Turnover Growth Pattern

Below is the plot of the Receivables Turnover of Morgan Stanley over the last few years. It is Morgan Stanley's Receivables Turnover 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.
Receivables Turnover10 Years Trend
Slightly volatile
   Receivables Turnover   
       Timeline  

Morgan Receivables Turnover Regression Statistics

Arithmetic Mean0.76
Geometric Mean0.75
Coefficient Of Variation18.81
Mean Deviation0.07
Median0.75
Standard Deviation0.14
Sample Variance0.02
Range0.6799
R-Value0.68
Mean Square Error0.01
R-Squared0.46
Significance0.01
Slope0.02
Total Sum of Squares0.29

Morgan Receivables Turnover History

2024 1.22
2023 0.87
2017 0.68
2012 0.75
2011 0.67
2010 0.54

About Morgan Stanley Financial Statements

Morgan Stanley shareholders use historical fundamental indicators, such as Receivables Turnover, 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
Receivables Turnover 0.87  1.22 

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

  0.75SCHW-PJ Charles SchwabPairCorr

Moving against Morgan Stock

  0.43GAMI GAMCO Investors Normal TradingPairCorr
  0.43FUFUW BitFuFu WarrantPairCorr
  0.31MGTI MGT Capital InvestmentsPairCorr
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.