Morgan Stanley Cdr Stock Net Asset
| MS Stock | 37.00 0.25 0.68% |
As of the 4th of February, Morgan Stanley secures the Downside Deviation of 1.62, mean deviation of 1.25, and Risk Adjusted Performance of 0.0718. In connection with fundamental indicators, the technical analysis model lets you check existing technical drivers of Morgan Stanley CDR, as well as the relationship between them.
Morgan Stanley Total Revenue |
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Market Capitalization 286.3 B | Earnings Share 9.7426 |
Morgan | Net Asset |
Morgan Stanley 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Morgan Stanley's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Morgan Stanley.
| 11/06/2025 |
| 02/04/2026 |
If you would invest 0.00 in Morgan Stanley on November 6, 2025 and sell it all today you would earn a total of 0.00 from holding Morgan Stanley CDR or generate 0.0% return on investment in Morgan Stanley over 90 days. Morgan Stanley is related to or competes with AKITA Drilling, Metalero Mining, BluMetric Environmental, Major Drilling, Information Services, Pembina Pipeline, and Chemtrade Logistics. Morgan Stanley is entity of Canada. It is traded as Stock on TO exchange. More
Morgan Stanley Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Morgan Stanley's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Morgan Stanley CDR upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.62 | |||
| Information Ratio | 0.0511 | |||
| Maximum Drawdown | 10.0 | |||
| Value At Risk | (2.45) | |||
| Potential Upside | 2.47 |
Morgan Stanley Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Morgan Stanley's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Morgan Stanley's standard deviation. In reality, there are many statistical measures that can use Morgan Stanley historical prices to predict the future Morgan Stanley's volatility.| Risk Adjusted Performance | 0.0718 | |||
| Jensen Alpha | 0.0959 | |||
| Total Risk Alpha | 0.0165 | |||
| Sortino Ratio | 0.0524 | |||
| Treynor Ratio | 0.1749 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Morgan Stanley's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Morgan Stanley February 4, 2026 Technical Indicators
| Cycle Indicators | ||
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| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0718 | |||
| Market Risk Adjusted Performance | 0.1849 | |||
| Mean Deviation | 1.25 | |||
| Semi Deviation | 1.46 | |||
| Downside Deviation | 1.62 | |||
| Coefficient Of Variation | 1110.13 | |||
| Standard Deviation | 1.66 | |||
| Variance | 2.75 | |||
| Information Ratio | 0.0511 | |||
| Jensen Alpha | 0.0959 | |||
| Total Risk Alpha | 0.0165 | |||
| Sortino Ratio | 0.0524 | |||
| Treynor Ratio | 0.1749 | |||
| Maximum Drawdown | 10.0 | |||
| Value At Risk | (2.45) | |||
| Potential Upside | 2.47 | |||
| Downside Variance | 2.62 | |||
| Semi Variance | 2.13 | |||
| Expected Short fall | (1.29) | |||
| Skewness | 0.3551 | |||
| Kurtosis | 1.64 |
Morgan Stanley CDR Backtested Returns
As of now, Morgan Stock is very steady. Morgan Stanley CDR has Sharpe Ratio of 0.0992, which conveys that the firm had a 0.0992 % return per unit of risk over the last 3 months. We have found thirty technical indicators for Morgan Stanley, which you can use to evaluate the volatility of the firm. Please verify Morgan Stanley's Risk Adjusted Performance of 0.0718, mean deviation of 1.25, and Downside Deviation of 1.62 to check out if the risk estimate we provide is consistent with the expected return of 0.17%. Morgan Stanley has a performance score of 7 on a scale of 0 to 100. The company secures a Beta (Market Risk) of 0.8, which conveys possible diversification benefits within a given portfolio. As returns on the market increase, Morgan Stanley's returns are expected to increase less than the market. However, during the bear market, the loss of holding Morgan Stanley is expected to be smaller as well. Morgan Stanley CDR right now secures a risk of 1.72%. Please verify Morgan Stanley CDR skewness, and the relationship between the value at risk and day median price , to decide if Morgan Stanley CDR will be following its current price movements.
Auto-correlation | -0.2 |
Insignificant reverse predictability
Morgan Stanley CDR has insignificant reverse predictability. Overlapping area represents the amount of predictability between Morgan Stanley time series from 6th of November 2025 to 21st of December 2025 and 21st of December 2025 to 4th of February 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Morgan Stanley CDR price movement. The serial correlation of -0.2 indicates that over 20.0% of current Morgan Stanley price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.2 | |
| Spearman Rank Test | 0.01 | |
| Residual Average | 0.0 | |
| Price Variance | 0.49 |
Net Asset is the value used in calculating NAV of a fund. NAV (or Net Asset Value) is computed once a day based on the formula that uses closing prices of all positions in the fund's portfolio.
| Competition |
Morgan Total Assets
Total Assets |
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Based on the recorded statements, Morgan Stanley CDR has a Net Asset of 1.22 T. This is much higher than that of the Financial Services sector and significantly higher than that of the Capital Markets industry. The net asset for all Canada stocks is notably lower than that of the firm.
Morgan Net Asset 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 Net Asset 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 net asset category among its peers.
Morgan Fundamentals
| Return On Equity | 16.04 | ||||
| Revenue | 119.66 B | ||||
| Net Income | 13.53 B | ||||
| Cash And Equivalents | 100.95 B | ||||
| Total Debt | 1.11 T | ||||
| Cash Flow From Operations | 1.36 B | ||||
| Earnings Per Share | 9.74 X | ||||
| Number Of Employees | 82 K | ||||
| Market Capitalization | 286.28 B | ||||
| Total Asset | 1.22 T | ||||
| Retained Earnings | 104.99 B | ||||
| Net Asset | 1.22 T |
About Morgan Stanley Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Morgan Stanley CDR'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 CDR 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
Moving against Morgan Stock
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.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.