Perella Weinberg Stock Forecast - Polynomial Regression

PWP Stock  USD 21.71  0.34  1.59%   
The Polynomial Regression forecasted value of Perella Weinberg Partners on the next trading day is expected to be 21.81 with a mean absolute deviation of 0.61 and the sum of the absolute errors of 37.17. Perella Stock Forecast is based on your current time horizon. Although Perella Weinberg's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Perella Weinberg's systematic risk associated with finding meaningful patterns of Perella Weinberg fundamentals over time.
  
As of 10/16/2024, Receivables Turnover is likely to grow to 13.70, while Inventory Turnover is likely to drop 0.04. . As of 10/16/2024, Net Income Applicable To Common Shares is likely to grow to about 21.6 M, while Common Stock Shares Outstanding is likely to drop slightly above 66.1 M.
Most investors in Perella Weinberg cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the Perella Weinberg's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Perella Weinberg's price structures and extracts relationships that further increase the accuracy of the generated results. Perella Weinberg polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Perella Weinberg Partners as well as the accuracy indicators are determined from the period prices.

Perella Weinberg Polynomial Regression Price Forecast For the 17th of October 2024

Given 90 days horizon, the Polynomial Regression forecasted value of Perella Weinberg Partners on the next trading day is expected to be 21.81 with a mean absolute deviation of 0.61, mean absolute percentage error of 0.57, and the sum of the absolute errors of 37.17.
Please note that although there have been many attempts to predict Perella 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 Perella Weinberg's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Perella Weinberg Stock Forecast Pattern

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Perella Weinberg Forecasted Value

In the context of forecasting Perella Weinberg'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. Perella Weinberg's downside and upside margins for the forecasting period are 19.43 and 24.19, respectively. We have considered Perella Weinberg'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
21.71
21.81
Expected Value
24.19
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 Perella Weinberg stock data series using in forecasting. Note that when a statistical model is used to represent Perella Weinberg 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 Criteria117.5456
BiasArithmetic mean of the errors None
MADMean absolute deviation0.6093
MAPEMean absolute percentage error0.0327
SAESum of the absolute errors37.1701
A single variable polynomial regression model attempts to put a curve through the Perella Weinberg 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 Perella Weinberg

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Perella Weinberg Partners. 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 Perella Weinberg'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
19.2421.6524.06
Details
Intrinsic
Valuation
LowRealHigh
14.8017.2123.89
Details
Bollinger
Band Projection (param)
LowMiddleHigh
16.9419.1521.36
Details
4 Analysts
Consensus
LowTargetHigh
12.7414.0015.54
Details

Other Forecasting Options for Perella Weinberg

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

Perella Weinberg 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 Perella Weinberg stock to make a market-neutral strategy. Peer analysis of Perella Weinberg could also be used in its relative valuation, which is a method of valuing Perella Weinberg by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Perella Weinberg Partners 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 Perella Weinberg'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 Perella Weinberg's current price.

Perella Weinberg Market Strength Events

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

Perella Weinberg Risk Indicators

The analysis of Perella Weinberg'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 Perella Weinberg's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting perella 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 Perella Weinberg

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 Perella Weinberg 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 Perella Weinberg will appreciate offsetting losses from the drop in the long position's value.

Moving together with Perella Stock

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Moving against Perella Stock

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The ability to find closely correlated positions to Perella Weinberg could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Perella Weinberg 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 Perella Weinberg - 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 Perella Weinberg Partners to buy it.
The correlation of Perella Weinberg 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 Perella Weinberg moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Perella Weinberg Partners 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 Perella Weinberg 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

Additional Tools for Perella Stock Analysis

When running Perella Weinberg's price analysis, check to measure Perella Weinberg's 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 Perella Weinberg is operating at the current time. Most of Perella Weinberg's value examination focuses on studying past and present price action to predict the probability of Perella Weinberg's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Perella Weinberg's price. Additionally, you may evaluate how the addition of Perella Weinberg to your portfolios can decrease your overall portfolio volatility.