Royalty Management Holding Stock Market Value
| RMCO Stock | 0.98 0.04 4.04% |
| Symbol | Royalty |
Royalty Management Price To Book Ratio
Is Asset Management & Custody Banks 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 Royalty Management. If investors know Royalty 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 Royalty Management listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share (0.09) | Revenue Per Share 0.03 | Quarterly Revenue Growth 2.831 | Return On Assets (0.08) | Return On Equity (0.17) |
The market value of Royalty Management is measured differently than its book value, which is the value of Royalty that is recorded on the company's balance sheet. Investors also form their own opinion of Royalty Management's value that differs from its market value or its book value, called intrinsic value, which is Royalty Management'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 Royalty Management's market value can be influenced by many factors that don't directly affect Royalty Management'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 Royalty Management's value and its price as these two are different measures arrived at by different means. Investors typically determine if Royalty Management is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Royalty Management'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.
Royalty Management '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 Royalty Management'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 Royalty Management.
| 11/12/2024 |
| 12/12/2024 |
If you would invest 0.00 in Royalty Management on November 12, 2024 and sell it all today you would earn a total of 0.00 from holding Royalty Management Holding or generate 0.0% return on investment in Royalty Management over 30 days. Royalty Management is related to or competes with Visa, Diamond Hill, Distoken Acquisition, AllianceBernstein, Associated Capital, Brookfield Corp, and Blackstone. Royalty Management is entity of United States More
Royalty Management 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 Royalty Management'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 Royalty Management Holding upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 3.66 | |||
| Information Ratio | 0.0516 | |||
| Maximum Drawdown | 31.36 | |||
| Value At Risk | (5.50) | |||
| Potential Upside | 8.42 |
Royalty Management Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Royalty Management's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Royalty Management's standard deviation. In reality, there are many statistical measures that can use Royalty Management historical prices to predict the future Royalty Management's volatility.| Risk Adjusted Performance | 0.0645 | |||
| Jensen Alpha | 0.2955 | |||
| Total Risk Alpha | (0.40) | |||
| Sortino Ratio | 0.0675 | |||
| Treynor Ratio | 0.6286 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Royalty Management'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.
Royalty Management Backtested Returns
As of now, Royalty Stock is extremely dangerous. Royalty Management maintains Sharpe Ratio (i.e., Efficiency) of 0.0182, which implies the firm had a 0.0182% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Royalty Management, which you can use to evaluate the volatility of the company. Please check Royalty Management's Semi Deviation of 3.12, risk adjusted performance of 0.0645, and Coefficient Of Variation of 1289.5 to confirm if the risk estimate we provide is consistent with the expected return of 0.0682%. Royalty Management has a performance score of 1 on a scale of 0 to 100. The company holds a Beta of 0.57, which implies possible diversification benefits within a given portfolio. As returns on the market increase, Royalty Management's returns are expected to increase less than the market. However, during the bear market, the loss of holding Royalty Management is expected to be smaller as well. Royalty Management right now holds a risk of 3.75%. Please check Royalty Management expected short fall, as well as the relationship between the rate of daily change and period momentum indicator , to decide if Royalty Management will be following its historical price patterns.
Auto-correlation | 0.71 |
Good predictability
Royalty Management Holding has good predictability. Overlapping area represents the amount of predictability between Royalty Management time series from 12th of November 2024 to 27th of November 2024 and 27th of November 2024 to 12th 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 Royalty Management price movement. The serial correlation of 0.71 indicates that around 71.0% of current Royalty Management price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.71 | |
| Spearman Rank Test | 0.57 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Royalty Management lagged returns against current returns
Autocorrelation, which is Royalty Management 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 Royalty Management's stock expected returns. We can calculate the autocorrelation of Royalty Management returns to help us make a trade decision. For example, suppose you find that Royalty Management 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 |
Royalty Management 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 Royalty Management stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Royalty Management stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Royalty Management stock over time.
Current vs Lagged Prices |
| Timeline |
Royalty Management Lagged Returns
When evaluating Royalty Management's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Royalty Management stock have on its future price. Royalty Management 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, Royalty Management autocorrelation shows the relationship between Royalty Management stock current value and its past values and can show if there is a momentum factor associated with investing in Royalty Management Holding.
Regressed Prices |
| Timeline |
Pair Trading with Royalty Management
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 Royalty Management 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 Royalty Management will appreciate offsetting losses from the drop in the long position's value.Moving together with Royalty Stock
| 0.67 | MS | Morgan Stanley Fiscal Year End 21st of January 2025 | PairCorr |
Moving against Royalty Stock
The ability to find closely correlated positions to Royalty Management could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Royalty Management 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 Royalty Management - 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 Royalty Management Holding to buy it.
The correlation of Royalty Management 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 Royalty Management moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Royalty Management 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 Royalty Management 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 Royalty Management Correlation, Royalty Management Volatility and Royalty Management Alpha and Beta module to complement your research on Royalty Management. You can also try the Sign In To Macroaxis module to sign in to explore Macroaxis' wealth optimization platform and fintech modules.
Royalty Management 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.