Royalty Management Stock Forecast - Naive Prediction

RMCO Stock   1.02  0.07  6.42%   
The Naive Prediction forecasted value of Royalty Management Holding on the next trading day is expected to be 0.98 with a mean absolute deviation of 0.03 and the sum of the absolute errors of 1.68. Royalty Stock Forecast is based on your current time horizon. Although Royalty Management's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Royalty Management's systematic risk associated with finding meaningful patterns of Royalty Management fundamentals over time.
  
At this time, Royalty Management's Payables Turnover is very stable compared to the past year. As of the 22nd of November 2024, Fixed Asset Turnover is likely to grow to 0.97, while Inventory Turnover is likely to drop (0.03). . As of the 22nd of November 2024, Common Stock Shares Outstanding is likely to drop to about 10.6 M.

Royalty Management Cash Forecast

Forecasting financial indicators like cash flow involves analysts applying various statistical methods, techniques, and algorithms. These tools reveal hidden trends within the Royalty Management's financial statements to estimate their effects on upcoming price movements.
 
Cash  
First Reported
2010-12-31
Previous Quarter
195.5 K
Current Value
245.9 K
Quarterly Volatility
47.4 K
 
Credit Downgrade
 
Yuan Drop
 
Covid
A naive forecasting model for Royalty Management is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Royalty Management Holding value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

Royalty Management Naive Prediction Price Forecast For the 23rd of November

Given 90 days horizon, the Naive Prediction forecasted value of Royalty Management Holding on the next trading day is expected to be 0.98 with a mean absolute deviation of 0.03, mean absolute percentage error of 0, and the sum of the absolute errors of 1.68.
Please note that although there have been many attempts to predict Royalty Stock prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Royalty Management's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Royalty Management Stock Forecast Pattern

Backtest Royalty ManagementRoyalty Management Price PredictionBuy or Sell Advice 

Royalty Management Forecasted Value

In the context of forecasting Royalty Management's Stock value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Royalty Management's downside and upside margins for the forecasting period are 0.01 and 6.03, respectively. We have considered Royalty Management's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Market Value
1.02
0.98
Expected Value
6.03
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Royalty Management stock data series using in forecasting. Note that when a statistical model is used to represent Royalty Management stock, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.
AICAkaike Information Criteria111.4669
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0276
MAPEMean absolute percentage error0.0285
SAESum of the absolute errors1.6845
This model is not at all useful as a medium-long range forecasting tool of Royalty Management Holding. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict Royalty Management. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

Predictive Modules for Royalty Management

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Royalty Management. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.
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.
Hype
Prediction
LowEstimatedHigh
0.051.086.06
Details
Intrinsic
Valuation
LowRealHigh
0.040.865.84
Details

Other Forecasting Options for Royalty Management

For every potential investor in Royalty, whether a beginner or expert, Royalty Management's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Royalty Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Royalty. Basic forecasting techniques help filter out the noise by identifying Royalty Management's price trends.

Royalty Management Related Equities

One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Royalty Management stock to make a market-neutral strategy. Peer analysis of Royalty Management could also be used in its relative valuation, which is a method of valuing Royalty Management by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Royalty Management Technical and Predictive Analytics

The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Royalty Management's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Royalty Management's current price.

Royalty Management Market Strength Events

Market strength indicators help investors to evaluate how Royalty Management stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Royalty Management shares will generate the highest return on investment. By undertsting and applying Royalty Management stock market strength indicators, traders can identify Royalty Management Holding entry and exit signals to maximize returns.

Royalty Management Risk Indicators

The analysis of Royalty Management's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Royalty Management's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting royalty stock prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.

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

  0.72V Visa Class APairCorr
  0.78DIST Distoken AcquisitionPairCorr
  0.73AB AllianceBernsteinPairCorr
  0.72AC Associated CapitalPairCorr

Moving against Royalty Stock

  0.61PT Pintec TechnologyPairCorr
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.
Pair CorrelationCorrelation Matching
When determining whether Royalty Management is a strong investment it is important to analyze Royalty Management's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Royalty Management's future performance. For an informed investment choice regarding Royalty Stock, refer to the following important reports:
Check out Historical Fundamental Analysis of Royalty Management to cross-verify your projections.
You can also try the Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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.