Mfa Financial Preferred Stock Technical Analysis
| MFA-PC Preferred Stock | USD 23.64 0.10 0.42% |
As of the 20th of February, MFA Financial owns the Downside Deviation of 0.3345, market risk adjusted performance of 0.9875, and Mean Deviation of 0.2496. In respect to fundamental indicators, the technical analysis model lets you check possible technical drivers of MFA Financial, as well as the relationship between them.
MFA Financial Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as MFA, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to MFAMFA |
MFA Financial '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 MFA Financial's preferred 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 MFA Financial.
| 11/22/2025 |
| 02/20/2026 |
If you would invest 0.00 in MFA Financial on November 22, 2025 and sell it all today you would earn a total of 0.00 from holding MFA Financial or generate 0.0% return on investment in MFA Financial over 90 days. MFA Financial is related to or competes with Ellington Financial, Ready Capital, Arbor Realty, Urban Edge, Four Corners, and Dynex Capital. MFA Financial, Inc., through its subsidiaries, operates as a real estate investment trust in the United States More
MFA Financial 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 MFA Financial's preferred 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 MFA Financial upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.3345 | |||
| Information Ratio | (0.14) | |||
| Maximum Drawdown | 1.55 | |||
| Value At Risk | (0.47) | |||
| Potential Upside | 0.5242 |
MFA Financial Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for MFA Financial's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as MFA Financial's standard deviation. In reality, there are many statistical measures that can use MFA Financial historical prices to predict the future MFA Financial's volatility.| Risk Adjusted Performance | 0.0276 | |||
| Jensen Alpha | 0.0069 | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | (0.14) | |||
| Treynor Ratio | 0.9775 |
MFA Financial February 20, 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 | 0.0276 | |||
| Market Risk Adjusted Performance | 0.9875 | |||
| Mean Deviation | 0.2496 | |||
| Semi Deviation | 0.2821 | |||
| Downside Deviation | 0.3345 | |||
| Coefficient Of Variation | 1842.43 | |||
| Standard Deviation | 0.3193 | |||
| Variance | 0.102 | |||
| Information Ratio | (0.14) | |||
| Jensen Alpha | 0.0069 | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | (0.14) | |||
| Treynor Ratio | 0.9775 | |||
| Maximum Drawdown | 1.55 | |||
| Value At Risk | (0.47) | |||
| Potential Upside | 0.5242 | |||
| Downside Variance | 0.1119 | |||
| Semi Variance | 0.0796 | |||
| Expected Short fall | (0.26) | |||
| Skewness | 0.0318 | |||
| Kurtosis | 0.4386 |
MFA Financial Backtested Returns
At this point, MFA Financial is very steady. MFA Financial retains Efficiency (Sharpe Ratio) of 0.11, which conveys that the firm had a 0.11 % return per unit of return volatility over the last 3 months. We have found twenty-nine technical indicators for MFA Financial, which you can use to evaluate the volatility of the firm. Please verify MFA Financial's Downside Deviation of 0.3345, market risk adjusted performance of 0.9875, and Mean Deviation of 0.2496 to check out if the risk estimate we provide is consistent with the expected return of 0.0353%. MFA Financial has a performance score of 8 on a scale of 0 to 100. The company owns a Beta (Systematic Risk) of 0.0075, which conveys not very significant fluctuations relative to the market. As returns on the market increase, MFA Financial's returns are expected to increase less than the market. However, during the bear market, the loss of holding MFA Financial is expected to be smaller as well. MFA Financial at this time owns a risk of 0.33%. Please verify MFA Financial jensen alpha, maximum drawdown, and the relationship between the coefficient of variation and sortino ratio , to decide if MFA Financial will be following its current price history.
Auto-correlation | -0.87 |
Excellent reverse predictability
MFA Financial has excellent reverse predictability. Overlapping area represents the amount of predictability between MFA Financial time series from 22nd of November 2025 to 6th of January 2026 and 6th of January 2026 to 20th 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 MFA Financial price movement. The serial correlation of -0.87 indicates that approximately 87.0% of current MFA Financial price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.87 | |
| Spearman Rank Test | -0.87 | |
| Residual Average | 0.0 | |
| Price Variance | 0.07 |
MFA Financial technical preferred stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, preferred stock market cycles, or different charting patterns.
MFA Financial Technical Analysis
The output start index for this execution was ten with a total number of output elements of fifty-one. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of MFA Financial volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About MFA Financial Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of MFA Financial on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of MFA Financial based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on MFA Financial price pattern first instead of the macroeconomic environment surrounding MFA Financial. By analyzing MFA Financial's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of MFA Financial's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to MFA Financial specific price patterns or momentum indicators. Please read more on our technical analysis page.
MFA Financial February 20, 2026 Technical Indicators
Most technical analysis of MFA help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for MFA from various momentum indicators to cycle indicators. When you analyze MFA charts, please remember that the event formation may indicate an entry point for a short seller, and look at different other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0276 | |||
| Market Risk Adjusted Performance | 0.9875 | |||
| Mean Deviation | 0.2496 | |||
| Semi Deviation | 0.2821 | |||
| Downside Deviation | 0.3345 | |||
| Coefficient Of Variation | 1842.43 | |||
| Standard Deviation | 0.3193 | |||
| Variance | 0.102 | |||
| Information Ratio | (0.14) | |||
| Jensen Alpha | 0.0069 | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | (0.14) | |||
| Treynor Ratio | 0.9775 | |||
| Maximum Drawdown | 1.55 | |||
| Value At Risk | (0.47) | |||
| Potential Upside | 0.5242 | |||
| Downside Variance | 0.1119 | |||
| Semi Variance | 0.0796 | |||
| Expected Short fall | (0.26) | |||
| Skewness | 0.0318 | |||
| Kurtosis | 0.4386 |
MFA Financial February 20, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as MFA stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 121.16 | ||
| Daily Balance Of Power | 0.91 | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 23.64 | ||
| Day Typical Price | 23.64 | ||
| Price Action Indicator | 0.06 |
Complementary Tools for MFA Preferred Stock analysis
When running MFA Financial's price analysis, check to measure MFA Financial'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 MFA Financial is operating at the current time. Most of MFA Financial's value examination focuses on studying past and present price action to predict the probability of MFA Financial's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move MFA Financial's price. Additionally, you may evaluate how the addition of MFA Financial to your portfolios can decrease your overall portfolio volatility.
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