Morgan Stanley Stock Probability Of Bankruptcy

MS-PQ Stock   26.59  0.10  0.38%   
Morgan Stanley's risk of distress is less than 3% at this time. It is unlikely to undergo any financial crisis in the next 24 months. Probability of distress prediction helps decision makers evaluate Morgan Stanley's chance of financial distress in relation to its going-concern outlook and evaluation. All items used in analyzing the odds of distress are taken from the Morgan balance sheet, as well as cash flow and income statements available from the company's most recent filings. Check out Morgan Stanley Piotroski F Score and Morgan Stanley Altman Z Score analysis.
To learn how to invest in Morgan Stock, please use our How to Invest in Morgan Stanley guide.
  
As of 11/25/2024, Market Cap is likely to grow to about 56.5 B, while Enterprise Value is likely to drop slightly above 65.7 B.

Morgan Stanley Company probability of distress Analysis

Morgan Stanley's Probability Of Bankruptcy is a relative measure of the likelihood of financial distress. For stocks, the Probability Of Bankruptcy is the normalized value of Z-Score. For funds and ETFs, it is derived from a multi-factor model developed by Macroaxis. The score is used to predict the probability of a firm or a fund experiencing financial distress within the next 24 months. Unlike Z-Score, Probability Of Bankruptcy is the value between 0 and 100, indicating the firm's actual probability it will be financially distressed in the next 2 fiscal years.

Probability Of Bankruptcy

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Normalized

Z-Score

More About Probability Of Bankruptcy | All Equity Analysis

Current Morgan Stanley Probability Of Bankruptcy

    
  Less than 3%  
Most of Morgan Stanley's fundamental indicators, such as Probability Of Bankruptcy, are part of a valuation analysis module that helps investors searching for stocks that are currently trading at higher or lower prices than their real value. If the real value is higher than the market price, Morgan Stanley is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
Our calculation of Morgan Stanley probability of bankruptcy is based on Altman Z-Score and Piotroski F-Score, but not limited to these measures. To be applied to a broader range of industries and markets, we use several other techniques to enhance the accuracy of predicting Morgan Stanley odds of financial distress. These include financial statement analysis, different types of price predictions, earning estimates, analysis consensus, and basic intrinsic valuation. Please use the options below to get a better understanding of different measures that drive the calculation of Morgan Stanley financial health.
Please note, there is a significant difference between Morgan Stanley's value and its price as these two are different measures arrived at by different means. Investors typically determine if Morgan Stanley is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Morgan Stanley's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.

Morgan Probability Of Bankruptcy Driver Correlations

Understanding the fundamental principles of building solid financial models for Morgan Stanley is extremely important. It helps to project a fair market value of Morgan Stock properly, considering its historical fundamentals such as Probability Of Bankruptcy. Since Morgan Stanley's main accounts across its financial reports are all linked and dependent on each other, it is essential to analyze all possible correlations between related accounts. However, instead of reviewing all of Morgan Stanley's historical financial statements, investors can examine the correlated drivers to determine its overall health. This can be effectively done using a conventional correlation matrix of Morgan Stanley's interrelated accounts and indicators.
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Click cells to compare fundamentals
The Probability of Bankruptcy SHOULD NOT be confused with the actual chance of a company to file for chapter 7, 11, 12, or 13 bankruptcy protection. Macroaxis simply defines Financial Distress as an operational condition where a company is having difficulty meeting its current financial obligations towards its creditors or delivering on the expectations of its investors. Macroaxis derives these conditions daily from both public financial statements as well as analysis of stock prices reacting to market conditions or economic downturns, including short-term and long-term historical volatility. Other factors taken into account include analysis of liquidity, revenue patterns, R&D expenses, and commitments, as well as public headlines and social sentiment.
Competition

Based on the latest financial disclosure, Morgan Stanley has a Probability Of Bankruptcy of 3.0%. This is 93.99% lower than that of the Financial Services sector and 93.16% lower than that of the Capital Markets industry. The probability of bankruptcy for all United States stocks is 92.47% higher than that of the company.

Morgan Probability Of Bankruptcy Peer Comparison

Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Morgan Stanley's direct or indirect competition against its Probability Of Bankruptcy to detect undervalued stocks with similar characteristics or determine the stocks which would be a good addition to a portfolio. Peer analysis of Morgan Stanley could also be used in its relative valuation, which is a method of valuing Morgan Stanley by comparing valuation metrics of similar companies.
Morgan Stanley is currently under evaluation in probability of bankruptcy category among its peers.

Morgan Stanley Main Bankruptcy Drivers

201920202021202220232024 (projected)
Return On Assets0.01010.0098540.01270.0093450.0076130.009563
Asset Turnover0.04620.0430.05030.04520.04490.0375
Net Debt157.7B165.5B156.3B153.5B217.7B228.6B
Total Current Liabilities207.5B241.6B239.0B221.3B254.5B409.8B
Non Current Liabilities Total197.7B218.8B232.8B221.3B267.5B280.8B
Total Assets895.4B1.1T1.2T1.2T1.2T610.9B
Total Current Assets167.5B275.6B285.7B128.8B89.2B84.8B
Total Cash From Operating Activities40.8B(25.2B)34.0B(6.4B)(33.5B)(31.9B)

Morgan Fundamentals

About Morgan Stanley Fundamental Analysis

The Macroaxis Fundamental Analysis modules help investors analyze Morgan Stanley's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Morgan Stanley using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Morgan Stanley based on its fundamental data. In general, a quantitative approach, as applied to this company, focuses on analyzing financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.
Please read more on our fundamental analysis page.

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 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.