Zhong Operating Cycle from 2010 to 2026

TOP Stock  USD 1.02  0.06  5.56%   
Zhong Yang Operating Cycle yearly trend continues to be relatively stable with very little volatility. Operating Cycle is likely to grow to 2,572 this year. During the period from 2010 to 2026, Zhong Yang Operating Cycle destribution of quarterly values had range of 2.7 K from its regression line and mean deviation of  682.82. View All Fundamentals
 
Operating Cycle  
First Reported
2010-12-31
Previous Quarter
2.4 K
Current Value
2.6 K
Quarterly Volatility
936.84088393
 
Credit Downgrade
 
Yuan Drop
 
Covid
 
Interest Hikes
Check Zhong Yang financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Zhong Yang's main balance sheet or income statement drivers, such as Depreciation And Amortization of 212.4 K, Interest Expense of 0.0 or Selling General Administrative of 3.7 M, as well as many indicators such as Price To Sales Ratio of 15.07, Dividend Yield of 0.0069 or PTB Ratio of 1.44. Zhong financial statements analysis is a perfect complement when working with Zhong Yang Valuation or Volatility modules.
  
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Check out the analysis of Zhong Yang Correlation against competitors.
Evaluating Zhong Yang's Operating Cycle across multiple reporting periods reveals the company's ability to sustain growth and manage resources effectively. This longitudinal analysis highlights inflection points, cyclical patterns, and structural changes that short-term snapshots might miss, offering deeper insight into Zhong Yang Financial's fundamental strength.

Latest Zhong Yang's Operating Cycle Growth Pattern

Below is the plot of the Operating Cycle of Zhong Yang Financial over the last few years. It is Zhong Yang's Operating Cycle historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Zhong Yang's overall financial position and show how it may be relating to other accounts over time.
Operating Cycle10 Years Trend
Slightly volatile
   Operating Cycle   
       Timeline  

Zhong Operating Cycle Regression Statistics

Arithmetic Mean648.50
Geometric Mean308.94
Coefficient Of Variation144.46
Mean Deviation682.82
Median177.30
Standard Deviation936.84
Sample Variance877,671
Range2.7K
R-Value0.72
Mean Square Error455,778
R-Squared0.51
Significance0
Slope132.90
Total Sum of Squares14M

Zhong Operating Cycle History

2026 2572.15
2025 2449.67
2024 2721.85
2023 626.44
2022 654.29
2021 168.54
2020 58.49

About Zhong Yang Financial Statements

Zhong Yang shareholders use historical fundamental indicators, such as Operating Cycle, to determine how well the company is positioned to perform in the future. Although Zhong Yang investors may analyze each financial statement separately, they are all interrelated. The changes in Zhong Yang's assets and liabilities, for example, are also reflected in the revenues and expenses on on Zhong Yang'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
Operating Cycle2.4 K2.6 K

Pair Trading with Zhong Yang

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 Zhong Yang 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 Zhong Yang will appreciate offsetting losses from the drop in the long position's value.

Moving against Zhong Stock

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

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