Maple Leaf Foods Stock Market Value
| MFI Stock | CAD 23.34 0.72 3.18% |
| Symbol | Maple |
Maple Leaf Foods Price To Book Ratio
Maple Leaf '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 Maple Leaf'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 Maple Leaf.
| 10/27/2024 |
| 11/26/2024 |
If you would invest 0.00 in Maple Leaf on October 27, 2024 and sell it all today you would earn a total of 0.00 from holding Maple Leaf Foods or generate 0.0% return on investment in Maple Leaf over 30 days. Maple Leaf is related to or competes with S A P, George Weston, Empire Company, Premium Brands, and Metro. Maple Leaf Foods Inc. operates as a consumer protein company More
Maple Leaf 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 Maple Leaf'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 Maple Leaf Foods upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.38 | |||
| Information Ratio | (0.04) | |||
| Maximum Drawdown | 8.39 | |||
| Value At Risk | (2.16) | |||
| Potential Upside | 2.31 |
Maple Leaf Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Maple Leaf's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Maple Leaf's standard deviation. In reality, there are many statistical measures that can use Maple Leaf historical prices to predict the future Maple Leaf's volatility.| Risk Adjusted Performance | 0.04 | |||
| Jensen Alpha | 0.0136 | |||
| Total Risk Alpha | (0.17) | |||
| Sortino Ratio | (0.04) | |||
| Treynor Ratio | 0.1547 |
Maple Leaf Foods Backtested Returns
As of now, Maple Stock is very steady. Maple Leaf Foods has Sharpe Ratio of 0.0554, which conveys that the firm had a 0.0554% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Maple Leaf, which you can use to evaluate the volatility of the firm. Please verify Maple Leaf's Risk Adjusted Performance of 0.04, downside deviation of 1.38, and Mean Deviation of 1.04 to check out if the risk estimate we provide is consistent with the expected return of 0.0826%. Maple Leaf has a performance score of 4 on a scale of 0 to 100. The company secures a Beta (Market Risk) of 0.38, which conveys possible diversification benefits within a given portfolio. As returns on the market increase, Maple Leaf's returns are expected to increase less than the market. However, during the bear market, the loss of holding Maple Leaf is expected to be smaller as well. Maple Leaf Foods right now secures a risk of 1.49%. Please verify Maple Leaf Foods expected short fall, day median price, and the relationship between the potential upside and accumulation distribution , to decide if Maple Leaf Foods will be following its current price movements.
Auto-correlation | 0.52 |
Modest predictability
Maple Leaf Foods has modest predictability. Overlapping area represents the amount of predictability between Maple Leaf time series from 27th of October 2024 to 11th of November 2024 and 11th of November 2024 to 26th 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 Maple Leaf Foods price movement. The serial correlation of 0.52 indicates that about 52.0% of current Maple Leaf price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.52 | |
| Spearman Rank Test | 0.51 | |
| Residual Average | 0.0 | |
| Price Variance | 0.2 |
Maple Leaf Foods lagged returns against current returns
Autocorrelation, which is Maple Leaf 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 Maple Leaf's stock expected returns. We can calculate the autocorrelation of Maple Leaf returns to help us make a trade decision. For example, suppose you find that Maple Leaf 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 |
Maple Leaf 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 Maple Leaf stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Maple Leaf stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Maple Leaf stock over time.
Current vs Lagged Prices |
| Timeline |
Maple Leaf Lagged Returns
When evaluating Maple Leaf's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Maple Leaf stock have on its future price. Maple Leaf 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, Maple Leaf autocorrelation shows the relationship between Maple Leaf stock current value and its past values and can show if there is a momentum factor associated with investing in Maple Leaf Foods.
Regressed Prices |
| Timeline |
Pair Trading with Maple Leaf
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 Maple Leaf 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 Maple Leaf will appreciate offsetting losses from the drop in the long position's value.Moving against Maple Stock
The ability to find closely correlated positions to Maple Leaf could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Maple Leaf 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 Maple Leaf - 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 Maple Leaf Foods to buy it.
The correlation of Maple Leaf 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 Maple Leaf moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Maple Leaf Foods 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 Maple Leaf 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.Other Information on Investing in Maple Stock
Maple Leaf financial ratios help investors to determine whether Maple Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Maple with respect to the benefits of owning Maple Leaf security.