A W Food Stock Market Value
| AW Stock | 37.12 0.02 0.05% |
| Symbol | A W |
A W '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 A W'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 A W.
| 10/27/2024 |
| 11/26/2024 |
If you would invest 0.00 in A W on October 27, 2024 and sell it all today you would earn a total of 0.00 from holding A W FOOD or generate 0.0% return on investment in A W over 30 days. A W is related to or competes with McDonalds Corp, Starbucks CDR, Restaurant Brands, Restaurant Brands, MTY Food, Boston Pizza, and Keg Royalties. A W is entity of Canada. It is traded as Stock on TO exchange. More
A W 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 A W'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 A W FOOD upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.21) | |||
| Maximum Drawdown | 10.81 | |||
| Value At Risk | (3.61) | |||
| Potential Upside | 2.56 |
A W Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for A W's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as A W's standard deviation. In reality, there are many statistical measures that can use A W historical prices to predict the future A W's volatility.| Risk Adjusted Performance | (0.10) | |||
| Jensen Alpha | (0.31) | |||
| Total Risk Alpha | (0.60) | |||
| Treynor Ratio | (1.91) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of A W'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.
A W FOOD Backtested Returns
A W FOOD secures Sharpe Ratio (or Efficiency) of -0.14, which signifies that the company had a -0.14% return per unit of volatility over the last 3 months. A W FOOD exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm A W's Market Risk Adjusted Performance of (1.90), variance of 3.92, and Mean Deviation of 1.09 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 0.15, which signifies not very significant fluctuations relative to the market. As returns on the market increase, A W's returns are expected to increase less than the market. However, during the bear market, the loss of holding A W is expected to be smaller as well. At this point, A W FOOD has a negative expected return of -0.28%. Please make sure to confirm A W's treynor ratio, accumulation distribution, as well as the relationship between the Accumulation Distribution and price action indicator , to decide if A W FOOD performance from the past will be repeated sooner or later.
Auto-correlation | -0.15 |
Insignificant reverse predictability
A W FOOD has insignificant reverse predictability. Overlapping area represents the amount of predictability between A W 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 A W FOOD price movement. The serial correlation of -0.15 indicates that less than 15.0% of current A W price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.15 | |
| Spearman Rank Test | 0.29 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
A W FOOD lagged returns against current returns
Autocorrelation, which is A W 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 A W's stock expected returns. We can calculate the autocorrelation of A W returns to help us make a trade decision. For example, suppose you find that A W 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 |
A W 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 A W stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if A W stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in A W stock over time.
Current vs Lagged Prices |
| Timeline |
A W Lagged Returns
When evaluating A W's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of A W stock have on its future price. A W 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, A W autocorrelation shows the relationship between A W stock current value and its past values and can show if there is a momentum factor associated with investing in A W FOOD.
Regressed Prices |
| Timeline |
Pair Trading with A W
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 A W 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 A W will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to A W could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace A W 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 A W - 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 A W FOOD to buy it.
The correlation of A W 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 A W moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if A W FOOD 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 A W 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 A W Stock
A W financial ratios help investors to determine whether A W 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 A W with respect to the benefits of owning A W security.