Scully Royalty Stock Market Value
SRL Stock | USD 7.15 0.09 1.24% |
Symbol | Scully |
Scully Royalty Price To Book Ratio
Is Investment Banking & Brokerage space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Scully Royalty. If investors know Scully will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Scully Royalty listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth (0.77) | Earnings Share 0.06 | Revenue Per Share 3.707 | Quarterly Revenue Growth 0.03 | Return On Assets 0.0036 |
The market value of Scully Royalty is measured differently than its book value, which is the value of Scully that is recorded on the company's balance sheet. Investors also form their own opinion of Scully Royalty's value that differs from its market value or its book value, called intrinsic value, which is Scully Royalty's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Scully Royalty's market value can be influenced by many factors that don't directly affect Scully Royalty's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Scully Royalty's value and its price as these two are different measures arrived at by different means. Investors typically determine if Scully Royalty is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Scully Royalty's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
Scully Royalty '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 Scully Royalty'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 Scully Royalty.
12/04/2022 |
| 11/23/2024 |
If you would invest 0.00 in Scully Royalty on December 4, 2022 and sell it all today you would earn a total of 0.00 from holding Scully Royalty or generate 0.0% return on investment in Scully Royalty over 720 days. Scully Royalty is related to or competes with PJT Partners, Piper Sandler, Evercore Partners, Moelis, Houlihan Lokey, Donnelley Financial, and Stifel Financial. Scully Royalty Ltd. operates as an iron ore mining company in the Americas, Africa, Canada, Asia, and Europe More
Scully Royalty 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 Scully Royalty'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 Scully Royalty upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | (0.09) | |||
Maximum Drawdown | 15.25 | |||
Value At Risk | (4.18) | |||
Potential Upside | 3.76 |
Scully Royalty Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Scully Royalty's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Scully Royalty's standard deviation. In reality, there are many statistical measures that can use Scully Royalty historical prices to predict the future Scully Royalty's volatility.Risk Adjusted Performance | (0.02) | |||
Jensen Alpha | (0.13) | |||
Total Risk Alpha | (0.48) | |||
Treynor Ratio | (0.27) |
Scully Royalty Backtested Returns
Scully Royalty owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.03, which indicates the firm had a -0.03% return per unit of risk over the last 3 months. Scully Royalty exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Scully Royalty's Risk Adjusted Performance of (0.02), variance of 6.05, and Coefficient Of Variation of (2,984) to confirm the risk estimate we provide. The entity has a beta of 0.35, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, Scully Royalty's returns are expected to increase less than the market. However, during the bear market, the loss of holding Scully Royalty is expected to be smaller as well. At this point, Scully Royalty has a negative expected return of -0.0747%. Please make sure to validate Scully Royalty's value at risk, daily balance of power, as well as the relationship between the Daily Balance Of Power and price action indicator , to decide if Scully Royalty performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.35 |
Poor reverse predictability
Scully Royalty has poor reverse predictability. Overlapping area represents the amount of predictability between Scully Royalty time series from 4th of December 2022 to 29th of November 2023 and 29th of November 2023 to 23rd 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 Scully Royalty price movement. The serial correlation of -0.35 indicates that nearly 35.0% of current Scully Royalty price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.35 | |
Spearman Rank Test | -0.39 | |
Residual Average | 0.0 | |
Price Variance | 0.64 |
Scully Royalty lagged returns against current returns
Autocorrelation, which is Scully Royalty 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 Scully Royalty's stock expected returns. We can calculate the autocorrelation of Scully Royalty returns to help us make a trade decision. For example, suppose you find that Scully Royalty 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 |
Scully Royalty 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 Scully Royalty stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Scully Royalty stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Scully Royalty stock over time.
Current vs Lagged Prices |
Timeline |
Scully Royalty Lagged Returns
When evaluating Scully Royalty's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Scully Royalty stock have on its future price. Scully Royalty 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, Scully Royalty autocorrelation shows the relationship between Scully Royalty stock current value and its past values and can show if there is a momentum factor associated with investing in Scully Royalty.
Regressed Prices |
Timeline |
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Scully Royalty 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.