Vitru Average Inventory from 2010 to 2024
| VTRU Stock | USD 8.68 0.52 5.65% |
Average Inventory | First Reported 2010-12-31 | Previous Quarter 9 M | Current Value 8 M | Quarterly Volatility 560.6 K |
Check Vitru financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Vitru's main balance sheet or income statement drivers, such as Interest Income of 34.3 M, Depreciation And Amortization of 223.3 M or Interest Expense of 355.4 M, as well as many indicators such as Price To Sales Ratio of 1.36, Dividend Yield of 0.0 or PTB Ratio of 2.21. Vitru financial statements analysis is a perfect complement when working with Vitru Valuation or Volatility modules.
Vitru | Average Inventory |
Pair Trading with Vitru
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 Vitru 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 Vitru will appreciate offsetting losses from the drop in the long position's value.Moving together with Vitru Stock
Moving against Vitru Stock
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| 0.64 | IH | Ihuman Inc | PairCorr |
The ability to find closely correlated positions to Vitru could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Vitru 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 Vitru - 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 Vitru to buy it.
The correlation of Vitru 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 Vitru moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Vitru 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 Vitru 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 Vitru Stock Analysis
When running Vitru's price analysis, check to measure Vitru'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 Vitru is operating at the current time. Most of Vitru's value examination focuses on studying past and present price action to predict the probability of Vitru's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Vitru's price. Additionally, you may evaluate how the addition of Vitru to your portfolios can decrease your overall portfolio volatility.