Perella Days Of Inventory Outstanding from 2010 to 2024

PWP Stock  USD 25.67  0.27  1.06%   
Perella Weinberg Days Of Inventory Outstanding yearly trend continues to be relatively stable with very little volatility. Days Of Inventory Outstanding is likely to drop to 1.18. During the period from 2010 to 2024, Perella Weinberg Days Of Inventory Outstanding destribution of quarterly values had range of 0.557 from its regression line and mean deviation of  0.10. View All Fundamentals
 
Days Of Inventory Outstanding  
First Reported
2010-12-31
Previous Quarter
1.56
Current Value
1.18
Quarterly Volatility
0.15690386
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check Perella Weinberg financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Perella Weinberg's main balance sheet or income statement drivers, such as Interest Expense of 236 K, Other Operating Expenses of 536.6 M or Net Income Applicable To Common Shares of 21.6 M, as well as many indicators such as Price To Sales Ratio of 1.57, Dividend Yield of 0.0254 or PTB Ratio of 3.29. Perella financial statements analysis is a perfect complement when working with Perella Weinberg Valuation or Volatility modules.
  
Check out the analysis of Perella Weinberg Correlation against competitors.

Latest Perella Weinberg's Days Of Inventory Outstanding Growth Pattern

Below is the plot of the Days Of Inventory Outstanding of Perella Weinberg Partners over the last few years. It is Perella Weinberg's Days Of Inventory Outstanding historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Perella Weinberg's overall financial position and show how it may be relating to other accounts over time.
Days Of Inventory Outstanding10 Years Trend
Slightly volatile
   Days Of Inventory Outstanding   
       Timeline  

Perella Days Of Inventory Outstanding Regression Statistics

Arithmetic Mean1.27
Geometric Mean1.26
Coefficient Of Variation12.34
Mean Deviation0.10
Median1.22
Standard Deviation0.16
Sample Variance0.02
Range0.557
R-Value0.45
Mean Square Error0.02
R-Squared0.20
Significance0.09
Slope0.02
Total Sum of Squares0.34

Perella Days Of Inventory Outstanding History

2024 1.18
2023 1.56
2022 1.74

About Perella Weinberg Financial Statements

Perella Weinberg shareholders use historical fundamental indicators, such as Days Of Inventory Outstanding, to determine how well the company is positioned to perform in the future. Although Perella Weinberg investors may analyze each financial statement separately, they are all interrelated. The changes in Perella Weinberg's assets and liabilities, for example, are also reflected in the revenues and expenses on on Perella Weinberg's income statement. Understanding these patterns can help investors time the market effectively. Please read more on our fundamental analysis page.
Last ReportedProjected for Next Year
Days Of Inventory Outstanding 1.56  1.18 

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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  0.32EMCGU Embrace Change AcquiPairCorr
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.