Morgan Stanley Etf One Year Return
| PAPI Etf | 28.36 0.04 0.14% |
As of the 16th of February 2026, Morgan Stanley secures the Mean Deviation of 0.5379, downside deviation of 0.5731, and Risk Adjusted Performance of 0.2131. 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. Analysts utilize numerous techniques to assess fundamental value, seeking to purchase shares when trading prices fall beneath estimated intrinsic worth. 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.
It's important to distinguish between Morgan Stanley's intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding Morgan Stanley should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. Meanwhile, Morgan Stanley's quoted price indicates the marketplace figure where supply meets demand through bilateral consent.
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.
| 11/18/2025 |
| 02/16/2026 |
If you would invest 0.00 in Morgan Stanley on November 18, 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 | 0.5731 | |||
| Information Ratio | 0.1635 | |||
| Maximum Drawdown | 2.85 | |||
| Value At Risk | (0.78) | |||
| Potential Upside | 1.43 |
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 | 0.2131 | |||
| Jensen Alpha | 0.137 | |||
| Total Risk Alpha | 0.1206 | |||
| Sortino Ratio | 0.1939 | |||
| Treynor Ratio | 0.3011 |
Morgan Stanley February 16, 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 | 0.2131 | |||
| Market Risk Adjusted Performance | 0.3111 | |||
| Mean Deviation | 0.5379 | |||
| Semi Deviation | 0.2532 | |||
| Downside Deviation | 0.5731 | |||
| Coefficient Of Variation | 375.41 | |||
| Standard Deviation | 0.6798 | |||
| Variance | 0.4622 | |||
| Information Ratio | 0.1635 | |||
| Jensen Alpha | 0.137 | |||
| Total Risk Alpha | 0.1206 | |||
| Sortino Ratio | 0.1939 | |||
| Treynor Ratio | 0.3011 | |||
| Maximum Drawdown | 2.85 | |||
| Value At Risk | (0.78) | |||
| Potential Upside | 1.43 | |||
| Downside Variance | 0.3284 | |||
| Semi Variance | 0.0641 | |||
| Expected Short fall | (0.63) | |||
| Skewness | 0.305 | |||
| Kurtosis | (0.13) |
Morgan Stanley ETF Backtested Returns
Morgan Stanley appears to be very steady, given 3 months investment horizon. Morgan Stanley ETF has Sharpe Ratio of 0.3, which conveys that the entity had a 0.3 % 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 exercise Morgan Stanley's Risk Adjusted Performance of 0.2131, downside deviation of 0.5731, and Mean Deviation of 0.5379 to check out if our risk estimates are consistent with your expectations. The etf secures a Beta (Market Risk) of 0.57, 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 | 0.66 |
Good predictability
Morgan Stanley ETF has good predictability. Overlapping area represents the amount of predictability between Morgan Stanley time series from 18th of November 2025 to 2nd of January 2026 and 2nd of January 2026 to 16th 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 ETF price movement. The serial correlation of 0.66 indicates that around 66.0% of current Morgan Stanley price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.66 | |
| Spearman Rank Test | 0.74 | |
| Residual Average | 0.0 | |
| Price Variance | 0.6 |
Although One Year Fund Return indicator can give a sense of overall fund short-term potential, it is recommended to look at mid and long term return measure before selecting a particular fund or ETF. The great way to validate fund short-term performance is to compare it with other similar funds or ETFs for the same 12 months interval.
| Competition |
Based on the recorded statements, Morgan Stanley ETF has an One Year Return of 14.6%. This is much higher than that of the family and significantly higher than that of the Derivative Income category. The one year return for all United States etfs is notably lower than that of the firm.
Morgan One Year Return 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 One Year Return to detect undervalued stocks with similar characteristics or determine the etfs 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 one year return as compared to similar ETFs.
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.
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Check out 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 Portfolio Manager module to state of the art Portfolio Manager to monitor and improve performance of your invested capital.
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. Analysts utilize numerous techniques to assess fundamental value, seeking to purchase shares when trading prices fall beneath estimated intrinsic worth. 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.
It's important to distinguish between Morgan Stanley's intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding Morgan Stanley should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. Meanwhile, Morgan Stanley's quoted price indicates the marketplace figure where supply meets demand through bilateral consent.