Restaurant Brands International Stock Market Value
| QSP-UN Stock | CAD 100.22 2.91 2.99% |
| Symbol | Restaurant |
Restaurant Brands Price To Book Ratio
Restaurant Brands '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 Restaurant Brands' 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 Restaurant Brands.
| 11/04/2024 |
| 12/04/2024 |
If you would invest 0.00 in Restaurant Brands on November 4, 2024 and sell it all today you would earn a total of 0.00 from holding Restaurant Brands International or generate 0.0% return on investment in Restaurant Brands over 30 days. Restaurant Brands is related to or competes with Apple, NVIDIA CDR, Microsoft Corp, Amazon CDR, Alphabet, Meta Platforms, and Tesla. Restaurant Brands International Limited Partnership operates and franchises quick service restaurants More
Restaurant Brands 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 Restaurant Brands' 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 Restaurant Brands International upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.23 | |||
| Information Ratio | 0.0092 | |||
| Maximum Drawdown | 6.63 | |||
| Value At Risk | (2.18) | |||
| Potential Upside | 2.99 |
Restaurant Brands Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Restaurant Brands' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Restaurant Brands' standard deviation. In reality, there are many statistical measures that can use Restaurant Brands historical prices to predict the future Restaurant Brands' volatility.| Risk Adjusted Performance | 0.0836 | |||
| Jensen Alpha | 0.1085 | |||
| Total Risk Alpha | (0.05) | |||
| Sortino Ratio | 0.0049 | |||
| Treynor Ratio | 2.03 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Restaurant Brands' 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.
Restaurant Brands Backtested Returns
At this point, Restaurant Brands is very steady. Restaurant Brands maintains Sharpe Ratio (i.e., Efficiency) of 0.11, which implies the firm had a 0.11% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Restaurant Brands, which you can use to evaluate the volatility of the company. Please check Restaurant Brands' Coefficient Of Variation of 952.77, risk adjusted performance of 0.0836, and Semi Deviation of 0.6466 to confirm if the risk estimate we provide is consistent with the expected return of 0.13%. Restaurant Brands has a performance score of 8 on a scale of 0 to 100. The company holds a Beta of 0.0563, which implies not very significant fluctuations relative to the market. As returns on the market increase, Restaurant Brands' returns are expected to increase less than the market. However, during the bear market, the loss of holding Restaurant Brands is expected to be smaller as well. Restaurant Brands right now holds a risk of 1.2%. Please check Restaurant Brands expected short fall, and the relationship between the value at risk and rate of daily change , to decide if Restaurant Brands will be following its historical price patterns.
Auto-correlation | 0.51 |
Modest predictability
Restaurant Brands International has modest predictability. Overlapping area represents the amount of predictability between Restaurant Brands time series from 4th of November 2024 to 19th of November 2024 and 19th of November 2024 to 4th 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 Restaurant Brands price movement. The serial correlation of 0.51 indicates that about 51.0% of current Restaurant Brands price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.51 | |
| Spearman Rank Test | -0.1 | |
| Residual Average | 0.0 | |
| Price Variance | 1.18 |
Restaurant Brands lagged returns against current returns
Autocorrelation, which is Restaurant Brands 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 Restaurant Brands' stock expected returns. We can calculate the autocorrelation of Restaurant Brands returns to help us make a trade decision. For example, suppose you find that Restaurant Brands 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 |
Restaurant Brands 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 Restaurant Brands stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Restaurant Brands stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Restaurant Brands stock over time.
Current vs Lagged Prices |
| Timeline |
Restaurant Brands Lagged Returns
When evaluating Restaurant Brands' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Restaurant Brands stock have on its future price. Restaurant Brands 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, Restaurant Brands autocorrelation shows the relationship between Restaurant Brands stock current value and its past values and can show if there is a momentum factor associated with investing in Restaurant Brands International.
Regressed Prices |
| Timeline |
Pair Trading with Restaurant Brands
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 Restaurant Brands 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 Restaurant Brands will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Restaurant Brands could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Restaurant Brands 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 Restaurant Brands - 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 Restaurant Brands International to buy it.
The correlation of Restaurant Brands 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 Restaurant Brands moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Restaurant Brands 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 Restaurant Brands 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.Check out Restaurant Brands Correlation, Restaurant Brands Volatility and Restaurant Brands Alpha and Beta module to complement your research on Restaurant Brands. You can also try the Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
Restaurant Brands technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.