Morgan Stanley Etf Operating Margin
| PAPI Etf | 27.18 0.05 0.18% |
As of the 28th of January, Morgan Stanley secures the Downside Deviation of 0.6372, mean deviation of 0.5119, and Risk Adjusted Performance of 0.1088. In connection with fundamental indicators, the technical analysis model lets you check existing technical drivers of Morgan Stanley ETF, as well as the relationship between them.
Morgan Stanley's financial statements offer valuable quarterly and annual insights to potential investors, highlighting the company's current and historical financial position, overall management performance, and changes in financial standing over time. Key fundamentals influencing Morgan Stanley's valuation are provided below:Morgan Stanley ETF does not presently have any fundamental ratios for analysis. This module does not cover all equities due to inconsistencies in global equity categorizations. Continue to Equity Screeners to view more equity screening tools. The market value of Morgan Stanley ETF is measured differently than its book value, which is the value of Morgan that is recorded on the company's balance sheet. Investors also form their own opinion of Morgan Stanley's value that differs from its market value or its book value, called intrinsic value, which is Morgan Stanley's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Morgan Stanley's market value can be influenced by many factors that don't directly affect Morgan Stanley's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
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 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 etf 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.
| 10/30/2025 |
| 01/28/2026 |
If you would invest 0.00 in Morgan Stanley on October 30, 2025 and sell it all today you would earn a total of 0.00 from holding Morgan Stanley ETF or generate 0.0% return on investment in Morgan Stanley over 90 days. Morgan Stanley is related to or competes with 2023 EFT, Russell Equity, OneAscent International, JP Morgan, Aptus Drawdown, Northern Lights, and Morgan Stanley. Morgan Stanley is entity of United States 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 etf 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 ETF upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.6372 | |||
| Information Ratio | 0.0304 | |||
| Maximum Drawdown | 2.91 | |||
| Value At Risk | (1.02) | |||
| Potential Upside | 1.33 |
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 | 0.1088 | |||
| Jensen Alpha | 0.0526 | |||
| Total Risk Alpha | 0.0268 | |||
| Sortino Ratio | 0.0318 | |||
| Treynor Ratio | 0.1679 |
Morgan Stanley January 28, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.1088 | |||
| Market Risk Adjusted Performance | 0.1779 | |||
| Mean Deviation | 0.5119 | |||
| Semi Deviation | 0.4567 | |||
| Downside Deviation | 0.6372 | |||
| Coefficient Of Variation | 669.84 | |||
| Standard Deviation | 0.6665 | |||
| Variance | 0.4442 | |||
| Information Ratio | 0.0304 | |||
| Jensen Alpha | 0.0526 | |||
| Total Risk Alpha | 0.0268 | |||
| Sortino Ratio | 0.0318 | |||
| Treynor Ratio | 0.1679 | |||
| Maximum Drawdown | 2.91 | |||
| Value At Risk | (1.02) | |||
| Potential Upside | 1.33 | |||
| Downside Variance | 0.406 | |||
| Semi Variance | 0.2085 | |||
| Expected Short fall | (0.56) | |||
| Skewness | 0.1984 | |||
| Kurtosis | 0.3733 |
Morgan Stanley ETF Backtested Returns
Morgan Stanley is very steady at the moment. Morgan Stanley ETF has Sharpe Ratio of 0.22, which conveys that the entity had a 0.22 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Morgan Stanley, which you can use to evaluate the volatility of the etf. Please verify Morgan Stanley's Downside Deviation of 0.6372, risk adjusted performance of 0.1088, and Mean Deviation of 0.5119 to check out if the risk estimate we provide is consistent with the expected return of 0.14%. The etf secures a Beta (Market Risk) of 0.53, 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.
Auto-correlation | 0.76 |
Good predictability
Morgan Stanley ETF has good predictability. Overlapping area represents the amount of predictability between Morgan Stanley time series from 30th of October 2025 to 14th of December 2025 and 14th of December 2025 to 28th of January 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 ETF price movement. The serial correlation of 0.76 indicates that around 76.0% of current Morgan Stanley price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.76 | |
| Spearman Rank Test | 0.75 | |
| Residual Average | 0.0 | |
| Price Variance | 0.23 |
A good Operating Margin is required for a company to be able to pay for its fixed costs or payout its debt, which implies that the higher the margin, the better. This ratio is most effective in evaluating the earning potential of a company over time when comparing it against a firm's competitors.
| Competition |
Based on the recorded statements, Morgan Stanley ETF has an Operating Margin of 0.0%. This indicator is about the same for the average (which is currently at 0.0) family and about the same as Derivative Income (which currently averages 0.0) category. This indicator is about the same for all United States etfs average (which is currently at 0.0).
Did you try this?
Run Alpha Finder Now
Alpha FinderUse alpha and beta coefficients to find investment opportunities after accounting for the risk |
| All Next | Launch Module |
About Morgan Stanley Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Morgan Stanley ETF'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 ETF based on its fundamental data. In general, a quantitative approach, as applied to this etf, 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.
Currently Active Assets on Macroaxis
When determining whether Morgan Stanley ETF is a strong investment it is important to analyze Morgan Stanley's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Morgan Stanley's future performance. For an informed investment choice regarding Morgan Etf, refer to the following important reports:Check out Morgan Stanley Piotroski F Score and Morgan Stanley Altman Z Score analysis. For more detail on how to invest in Morgan Etf please use our How to Invest in Morgan Stanley guide.You can also try the Efficient Frontier module to plot and analyze your portfolio and positions against risk-return landscape of the market..
The market value of Morgan Stanley ETF is measured differently than its book value, which is the value of Morgan that is recorded on the company's balance sheet. Investors also form their own opinion of Morgan Stanley's value that differs from its market value or its book value, called intrinsic value, which is Morgan Stanley's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Morgan Stanley's market value can be influenced by many factors that don't directly affect Morgan Stanley's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
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.