Acm Days Of Inventory On Hand from 2010 to 2024
| ACMR Stock | USD 17.19 0.08 0.46% |
Days Of Inventory On Hand | First Reported 2010-12-31 | Previous Quarter 707.15281626 | Current Value 742.51 | Quarterly Volatility 205.88184 |
Check Acm Research financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Acm Research's main balance sheet or income statement drivers, such as Tax Provision of 20.3 M, Interest Income of 8.8 M or Depreciation And Amortization of 8.5 M, as well as many indicators such as Price To Sales Ratio of 2.5, Dividend Yield of 0.0027 or PTB Ratio of 1.61. Acm financial statements analysis is a perfect complement when working with Acm Research Valuation or Volatility modules.
Acm | Days Of Inventory On Hand |
Latest Acm Research's Days Of Inventory On Hand Growth Pattern
Below is the plot of the Days Of Inventory On Hand of Acm Research over the last few years. It is Acm Research's Days Of Inventory On Hand historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Acm Research's overall financial position and show how it may be relating to other accounts over time.
| Days Of Inventory On Hand | 10 Years Trend |
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Days Of Inventory On Hand |
| Timeline |
Acm Days Of Inventory On Hand Regression Statistics
| Arithmetic Mean | 365.11 | |
| Geometric Mean | 319.74 | |
| Coefficient Of Variation | 56.39 | |
| Mean Deviation | 165.95 | |
| Median | 291.30 | |
| Standard Deviation | 205.88 | |
| Sample Variance | 42,387 | |
| Range | 547 | |
| R-Value | 0.90 | |
| Mean Square Error | 8,692 | |
| R-Squared | 0.81 | |
| Slope | 41.42 | |
| Total Sum of Squares | 593,423 |
Acm Days Of Inventory On Hand History
About Acm Research Financial Statements
Acm Research shareholders use historical fundamental indicators, such as Days Of Inventory On Hand, to determine how well the company is positioned to perform in the future. Although Acm Research investors may analyze each financial statement separately, they are all interrelated. The changes in Acm Research's assets and liabilities, for example, are also reflected in the revenues and expenses on on Acm Research's income statement. Understanding these patterns can help investors time the market effectively. Please read more on our fundamental analysis page.
| Last Reported | Projected for Next Year | ||
| Days Of Inventory On Hand | 707.15 | 742.51 |
Pair Trading with Acm Research
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 Acm Research 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 Acm Research will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Acm Research could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Acm Research 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 Acm Research - 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 Acm Research to buy it.
The correlation of Acm Research 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 Acm Research moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Acm Research 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 Acm Research 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.Additional Tools for Acm Stock Analysis
When running Acm Research's price analysis, check to measure Acm Research'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 Acm Research is operating at the current time. Most of Acm Research's value examination focuses on studying past and present price action to predict the probability of Acm Research's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Acm Research's price. Additionally, you may evaluate how the addition of Acm Research to your portfolios can decrease your overall portfolio volatility.