Restaurant Brands International Stock Market Value
| QSR Stock | CAD 103.74 2.23 2.20% |
| 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.
| 04/04/2024 |
| 05/04/2024 |
If you would invest 0.00 in Restaurant Brands on April 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 Overactive Media, and East Side. Restaurant Brands International Inc. owns, operates, and franchises quick service restaurants under the Tim Hortons , Bu... 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 | 1.45 | |||
| Information Ratio | (0.06) | |||
| Maximum Drawdown | 7.06 | |||
| Value At Risk | (2.62) | |||
| Potential Upside | 2.18 |
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 | 0.0058 | |||
| Jensen Alpha | (0.06) | |||
| Total Risk Alpha | (0.17) | |||
| Sortino Ratio | (0.05) | |||
| Treynor Ratio | (0.01) |
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
We consider Restaurant Brands very steady. Restaurant Brands maintains Sharpe Ratio (i.e., Efficiency) of 9.0E-4, which implies the firm had a 9.0E-4% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Restaurant Brands, which you can use to evaluate the volatility of the company. Please check Restaurant Brands' Coefficient Of Variation of 327807.43, risk adjusted performance of 0.0058, and Semi Deviation of 1.43 to confirm if the risk estimate we provide is consistent with the expected return of 0.0013%. The company holds a Beta of 0.77, which implies possible diversification benefits within a given portfolio. 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 1.43%. Please check Restaurant Brands expected short fall, and the relationship between the value at risk and daily balance of power , to decide if Restaurant Brands will be following its historical price patterns.
Auto-correlation | -0.59 |
Good reverse predictability
Restaurant Brands International has good reverse predictability. Overlapping area represents the amount of predictability between Restaurant Brands time series from 4th of April 2024 to 19th of April 2024 and 19th of April 2024 to 4th of May 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 -0.59 indicates that roughly 59.0% of current Restaurant Brands price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.59 | |
| Spearman Rank Test | -0.59 | |
| Residual Average | 0.0 | |
| Price Variance | 2.92 |
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 |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Restaurant Brands in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Restaurant Brands' short interest history, or implied volatility extrapolated from Restaurant Brands options trading.
Becoming a Better Investor with Macroaxis
Macroaxis puts the power of mathematics on your side. We analyze your portfolios and positions such as Restaurant Brands using complex mathematical models and algorithms, but make them easy to understand. There is no real person involved in your portfolio analysis. We perform a number of calculations to compute absolute and relative portfolio volatility, correlation between your assets, value at risk, expected return as well as over 100 different fundamental and technical indicators.Build Optimal Portfolios
Align your risk with return expectations
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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
Complementary Tools for Restaurant Stock analysis
When running Restaurant Brands' price analysis, check to measure Restaurant Brands' 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 Restaurant Brands is operating at the current time. Most of Restaurant Brands' value examination focuses on studying past and present price action to predict the probability of Restaurant Brands' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Restaurant Brands' price. Additionally, you may evaluate how the addition of Restaurant Brands to your portfolios can decrease your overall portfolio volatility.
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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.