Loblaw Companies Preferred Stock Market Value
| L-PB Preferred Stock | CAD 22.80 0.05 0.22% |
| Symbol | Loblaw |
Loblaw Companies '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 Loblaw Companies' 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 Loblaw Companies.
| 10/30/2024 |
| 11/29/2024 |
If you would invest 0.00 in Loblaw Companies on October 30, 2024 and sell it all today you would earn a total of 0.00 from holding Loblaw Companies or generate 0.0% return on investment in Loblaw Companies over 30 days. Loblaw Companies is related to or competes with George Weston, George Weston, George Weston, George Weston, and Fortis Srs. Loblaw Companies Limited, a food and pharmacy company, engages in the grocery, pharmacy, health and beauty, apparel, gen... More
Loblaw Companies 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 Loblaw Companies' 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 Loblaw Companies upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.27) | |||
| Maximum Drawdown | 3.47 | |||
| Value At Risk | (1.31) | |||
| Potential Upside | 0.8381 |
Loblaw Companies Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Loblaw Companies' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Loblaw Companies' standard deviation. In reality, there are many statistical measures that can use Loblaw Companies historical prices to predict the future Loblaw Companies' volatility.| Risk Adjusted Performance | (0.05) | |||
| Jensen Alpha | (0.06) | |||
| Total Risk Alpha | (0.14) | |||
| Treynor Ratio | (0.65) |
Loblaw Companies Backtested Returns
Loblaw Companies has Sharpe Ratio of -0.0955, which conveys that the firm had a -0.0955% return per unit of risk over the last 3 months. Loblaw Companies exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please verify Loblaw Companies' Risk Adjusted Performance of (0.05), standard deviation of 0.6106, and Mean Deviation of 0.3881 to check out the risk estimate we provide. The company secures a Beta (Market Risk) of 0.0722, which conveys not very significant fluctuations relative to the market. As returns on the market increase, Loblaw Companies' returns are expected to increase less than the market. However, during the bear market, the loss of holding Loblaw Companies is expected to be smaller as well. At this point, Loblaw Companies has a negative expected return of -0.0495%. Please make sure to verify Loblaw Companies' mean deviation, standard deviation, total risk alpha, as well as the relationship between the coefficient of variation and jensen alpha , to decide if Loblaw Companies performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.15 |
Insignificant predictability
Loblaw Companies has insignificant predictability. Overlapping area represents the amount of predictability between Loblaw Companies time series from 30th of October 2024 to 14th of November 2024 and 14th of November 2024 to 29th 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 Loblaw Companies price movement. The serial correlation of 0.15 indicates that less than 15.0% of current Loblaw Companies price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.15 | |
| Spearman Rank Test | -0.56 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
Loblaw Companies lagged returns against current returns
Autocorrelation, which is Loblaw Companies preferred 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 Loblaw Companies' preferred stock expected returns. We can calculate the autocorrelation of Loblaw Companies returns to help us make a trade decision. For example, suppose you find that Loblaw Companies has exhibited high autocorrelation historically, and you observe that the preferred 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 |
Loblaw Companies 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 Loblaw Companies preferred stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Loblaw Companies preferred stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Loblaw Companies preferred stock over time.
Current vs Lagged Prices |
| Timeline |
Loblaw Companies Lagged Returns
When evaluating Loblaw Companies' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Loblaw Companies preferred stock have on its future price. Loblaw Companies 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, Loblaw Companies autocorrelation shows the relationship between Loblaw Companies preferred stock current value and its past values and can show if there is a momentum factor associated with investing in Loblaw Companies.
Regressed Prices |
| Timeline |
Pair Trading with Loblaw Companies
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 Loblaw Companies 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 Loblaw Companies will appreciate offsetting losses from the drop in the long position's value.Moving against Loblaw Preferred Stock
| 0.78 | AMZN | Amazon CDR | PairCorr |
| 0.72 | TSLA | Tesla Inc CDR | PairCorr |
| 0.67 | NVDA | NVIDIA CDR | PairCorr |
| 0.64 | GOOG | Alphabet CDR | PairCorr |
| 0.63 | JPM | JPMorgan Chase | PairCorr |
The ability to find closely correlated positions to Loblaw Companies could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Loblaw Companies 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 Loblaw Companies - 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 Loblaw Companies to buy it.
The correlation of Loblaw Companies 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 Loblaw Companies moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Loblaw Companies 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 Loblaw Companies 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 Loblaw Preferred Stock
Loblaw Companies financial ratios help investors to determine whether Loblaw Preferred 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 Loblaw with respect to the benefits of owning Loblaw Companies security.