Mf Bancorp Stock Market Value
| MFBP Stock | USD 18.00 1.00 5.26% |
| Symbol | MFBP |
MF Bancorp '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 MF Bancorp's pink sheet 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 MF Bancorp.
| 10/29/2024 |
| 11/28/2024 |
If you would invest 0.00 in MF Bancorp on October 29, 2024 and sell it all today you would earn a total of 0.00 from holding MF Bancorp or generate 0.0% return on investment in MF Bancorp over 30 days. MF Bancorp is related to or competes with Citizens Bancshares, Harbor Bankshares, United Bancorporation, KS Bancorp, and Broadway Financial. MF Bancorp, Inc. operates as a bank holding company for the Mechanics and Farmers Bank that provides consumer and commer... More
MF Bancorp 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 MF Bancorp's pink sheet 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 MF Bancorp upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.11) | |||
| Maximum Drawdown | 10.95 | |||
| Value At Risk | (4.12) | |||
| Potential Upside | 3.6 |
MF Bancorp Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for MF Bancorp's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as MF Bancorp's standard deviation. In reality, there are many statistical measures that can use MF Bancorp historical prices to predict the future MF Bancorp's volatility.| Risk Adjusted Performance | (0.03) | |||
| Jensen Alpha | (0.08) | |||
| Total Risk Alpha | (0.39) | |||
| Treynor Ratio | 0.7147 |
MF Bancorp Backtested Returns
MF Bancorp retains Efficiency (Sharpe Ratio) of -0.0572, which conveys that the firm had a -0.0572% return per unit of price deviation over the last 3 months. MF Bancorp exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please verify MF Bancorp's Information Ratio of (0.11), market risk adjusted performance of 0.7247, and Mean Deviation of 1.09 to check out the risk estimate we provide. The company owns a Beta (Systematic Risk) of -0.13, which conveys not very significant fluctuations relative to the market. As returns on the market increase, returns on owning MF Bancorp are expected to decrease at a much lower rate. During the bear market, MF Bancorp is likely to outperform the market. At this point, MF Bancorp has a negative expected return of -0.11%. Please make sure to verify MF Bancorp's value at risk, and the relationship between the jensen alpha and accumulation distribution , to decide if MF Bancorp performance from the past will be repeated sooner or later.
Auto-correlation | 0.38 |
Below average predictability
MF Bancorp has below average predictability. Overlapping area represents the amount of predictability between MF Bancorp time series from 29th of October 2024 to 13th of November 2024 and 13th of November 2024 to 28th of November 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of MF Bancorp price movement. The serial correlation of 0.38 indicates that just about 38.0% of current MF Bancorp price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.38 | |
| Spearman Rank Test | 0.37 | |
| Residual Average | 0.0 | |
| Price Variance | 0.18 |
MF Bancorp lagged returns against current returns
Autocorrelation, which is MF Bancorp pink sheet's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting MF Bancorp's pink sheet expected returns. We can calculate the autocorrelation of MF Bancorp returns to help us make a trade decision. For example, suppose you find that MF Bancorp has exhibited high autocorrelation historically, and you observe that the pink sheet is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
MF Bancorp regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If MF Bancorp pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if MF Bancorp pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in MF Bancorp pink sheet over time.
Current vs Lagged Prices |
| Timeline |
MF Bancorp Lagged Returns
When evaluating MF Bancorp's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of MF Bancorp pink sheet have on its future price. MF Bancorp autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, MF Bancorp autocorrelation shows the relationship between MF Bancorp pink sheet current value and its past values and can show if there is a momentum factor associated with investing in MF Bancorp.
Regressed Prices |
| Timeline |
Pair Trading with MF Bancorp
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 MF Bancorp 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 MF Bancorp will appreciate offsetting losses from the drop in the long position's value.Moving against MFBP Pink Sheet
| 0.64 | HD | Home Depot Sell-off Trend | PairCorr |
| 0.61 | MCD | McDonalds Fiscal Year End 3rd of February 2025 | PairCorr |
| 0.56 | CAT | Caterpillar Fiscal Year End 3rd of February 2025 | PairCorr |
| 0.55 | PTAIF | PT Astra International | PairCorr |
| 0.51 | DD | Dupont De Nemours Fiscal Year End 4th of February 2025 | PairCorr |
The ability to find closely correlated positions to MF Bancorp could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace MF Bancorp 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 MF Bancorp - 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 MF Bancorp to buy it.
The correlation of MF Bancorp 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 MF Bancorp moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if MF Bancorp 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 MF Bancorp 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.Additional Tools for MFBP Pink Sheet Analysis
When running MF Bancorp's price analysis, check to measure MF Bancorp'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 MF Bancorp is operating at the current time. Most of MF Bancorp's value examination focuses on studying past and present price action to predict the probability of MF Bancorp's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move MF Bancorp's price. Additionally, you may evaluate how the addition of MF Bancorp to your portfolios can decrease your overall portfolio volatility.