Blue Owl Stock Forecast - Polynomial Regression

OWL Stock  USD 23.73  0.04  0.17%   
The Polynomial Regression forecasted value of Blue Owl Capital on the next trading day is expected to be 23.96 with a mean absolute deviation of 0.49 and the sum of the absolute errors of 30.68. Blue Stock Forecast is based on your current time horizon. Although Blue Owl's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Blue Owl's systematic risk associated with finding meaningful patterns of Blue Owl fundamentals over time.
  
Payables Turnover is expected to rise to 7.73 this year, although the value of Inventory Turnover will most likely fall to (35.48). . The value of Common Stock Shares Outstanding is expected to slide to about 406.7 M. The value of Net Loss is expected to slide to about (8.8 M).
Blue Owl polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Blue Owl Capital as well as the accuracy indicators are determined from the period prices.

Blue Owl Polynomial Regression Price Forecast For the 1st of December

Given 90 days horizon, the Polynomial Regression forecasted value of Blue Owl Capital on the next trading day is expected to be 23.96 with a mean absolute deviation of 0.49, mean absolute percentage error of 0.47, and the sum of the absolute errors of 30.68.
Please note that although there have been many attempts to predict Blue 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 Blue Owl's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Blue Owl Stock Forecast Pattern

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Blue Owl Forecasted Value

In the context of forecasting Blue Owl'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. Blue Owl's downside and upside margins for the forecasting period are 21.76 and 26.15, respectively. We have considered Blue Owl'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
23.73
23.96
Expected Value
26.15
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of Blue Owl stock data series using in forecasting. Note that when a statistical model is used to represent Blue Owl 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 Criteria119.1999
BiasArithmetic mean of the errors None
MADMean absolute deviation0.4948
MAPEMean absolute percentage error0.0228
SAESum of the absolute errors30.6773
A single variable polynomial regression model attempts to put a curve through the Blue Owl historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm

Predictive Modules for Blue Owl

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Blue Owl Capital. 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 Blue Owl'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
21.5123.7025.89
Details
Intrinsic
Valuation
LowRealHigh
18.5320.7226.10
Details
Bollinger
Band Projection (param)
LowMiddleHigh
22.5423.7724.99
Details
15 Analysts
Consensus
LowTargetHigh
14.1115.5017.21
Details

Other Forecasting Options for Blue Owl

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

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 Risk & Return  Correlation

Blue Owl Capital 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 Blue Owl'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 Blue Owl's current price.

Blue Owl Market Strength Events

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

Blue Owl Risk Indicators

The analysis of Blue Owl'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 Blue Owl's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting blue 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.

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When determining whether Blue Owl Capital is a strong investment it is important to analyze Blue Owl'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 Blue Owl's future performance. For an informed investment choice regarding Blue Stock, refer to the following important reports:
Check out Historical Fundamental Analysis of Blue Owl to cross-verify your projections.
You can also try the Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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 Blue Owl. If investors know Blue 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 Blue Owl 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
0.487
Dividend Share
0.68
Earnings Share
0.18
Revenue Per Share
4.18
Quarterly Revenue Growth
0.399
The market value of Blue Owl Capital is measured differently than its book value, which is the value of Blue that is recorded on the company's balance sheet. Investors also form their own opinion of Blue Owl's value that differs from its market value or its book value, called intrinsic value, which is Blue Owl'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 Blue Owl's market value can be influenced by many factors that don't directly affect Blue Owl'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 Blue Owl's value and its price as these two are different measures arrived at by different means. Investors typically determine if Blue Owl is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Blue Owl'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.