M Food (Poland) Market Value

MFD Stock   1.13  0.03  2.73%   
M Food's market value is the price at which a share of M Food trades on a public exchange. It measures the collective expectations of M Food SA investors about its performance. M Food is selling at 1.13 as of the 2nd of December 2024; that is 2.73% up since the beginning of the trading day. The stock's lowest day price was 1.0.
With this module, you can estimate the performance of a buy and hold strategy of M Food SA and determine expected loss or profit from investing in M Food over a given investment horizon. Check out M Food Correlation, M Food Volatility and M Food Alpha and Beta module to complement your research on M Food.
Symbol

Please note, there is a significant difference between M Food's value and its price as these two are different measures arrived at by different means. Investors typically determine if M Food is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, M Food'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.

M Food '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 M Food'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 M Food.
0.00
11/02/2024
No Change 0.00  0.0 
In 31 days
12/02/2024
0.00
If you would invest  0.00  in M Food on November 2, 2024 and sell it all today you would earn a total of 0.00 from holding M Food SA or generate 0.0% return on investment in M Food over 30 days. M Food is related to or competes with Asseco Business, Movie Games, and Igoria Trade. More

M Food 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 M Food'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 M Food SA upside and downside potential and time the market with a certain degree of confidence.

M Food Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for M Food's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as M Food's standard deviation. In reality, there are many statistical measures that can use M Food historical prices to predict the future M Food's volatility.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of M Food'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.
Hype
Prediction
LowEstimatedHigh
0.061.135.97
Details
Intrinsic
Valuation
LowRealHigh
0.050.975.81
Details
Naive
Forecast
LowNextHigh
0.021.005.84
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
0.911.091.26
Details

M Food SA Backtested Returns

M Food appears to be extremely dangerous, given 3 months investment horizon. M Food SA has Sharpe Ratio of 0.11, which conveys that the company had a 0.11% return per unit of risk over the last 3 months. By examining M Food's technical indicators, you can evaluate if the expected return of 0.54% is justified by implied risk. Please exercise M Food's Standard Deviation of 4.86, mean deviation of 3.08, and Coefficient Of Variation of (1,611) to check out if our risk estimates are consistent with your expectations. On a scale of 0 to 100, M Food holds a performance score of 8. The firm secures a Beta (Market Risk) of -0.59, which conveys possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning M Food are expected to decrease at a much lower rate. During the bear market, M Food is likely to outperform the market. Please check M Food's rate of daily change, price action indicator, as well as the relationship between the skewness and treynor ratio , to make a quick decision on whether M Food's current price movements will revert.

Auto-correlation

    
  0.00  

No correlation between past and present

M Food SA has no correlation between past and present. Overlapping area represents the amount of predictability between M Food time series from 2nd of November 2024 to 17th of November 2024 and 17th of November 2024 to 2nd of December 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 M Food SA price movement. The serial correlation of 0.0 indicates that just 0.0% of current M Food price fluctuation can be explain by its past prices.
Correlation Coefficient0.0
Spearman Rank Test1.0
Residual Average0.0
Price Variance0.0

M Food SA lagged returns against current returns

Autocorrelation, which is M Food stock'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 M Food's stock expected returns. We can calculate the autocorrelation of M Food returns to help us make a trade decision. For example, suppose you find that M Food has exhibited high autocorrelation historically, and you observe that the stock 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  

M Food 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 M Food stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if M Food stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in M Food stock over time.
   Current vs Lagged Prices   
       Timeline  

M Food Lagged Returns

When evaluating M Food's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of M Food stock have on its future price. M Food 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, M Food autocorrelation shows the relationship between M Food stock current value and its past values and can show if there is a momentum factor associated with investing in M Food SA.
   Regressed Prices   
       Timeline  

Pair Trading with M Food

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 M Food 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 M Food will appreciate offsetting losses from the drop in the long position's value.

Moving against MFD Stock

  0.35CFS Centrum Finansowe BankuPairCorr
  0.31NTS NotoriaPairCorr
The ability to find closely correlated positions to M Food could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace M Food 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 M Food - 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 M Food SA to buy it.
The correlation of M Food 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 M Food moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if M Food SA 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 M Food 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.
Pair CorrelationCorrelation Matching

Additional Tools for MFD Stock Analysis

When running M Food's price analysis, check to measure M Food'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 M Food is operating at the current time. Most of M Food's value examination focuses on studying past and present price action to predict the probability of M Food's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move M Food's price. Additionally, you may evaluate how the addition of M Food to your portfolios can decrease your overall portfolio volatility.