Snap Days Of Inventory On Hand from 2010 to 2024

SNAP Stock  USD 11.61  0.01  0.09%   
Snap Days Of Inventory On Hand yearly trend continues to be relatively stable with very little volatility. Days Of Inventory On Hand is likely to drop to 0.00. During the period from 2010 to 2024, Snap Days Of Inventory On Hand destribution of quarterly values had range of 0.0 from its regression line and mean deviation of  0.00000029. View All Fundamentals
 
Days Of Inventory On Hand  
First Reported
2010-12-31
Previous Quarter
0.0
Current Value
0.0
Quarterly Volatility
0.00000033
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check Snap financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Snap's main balance sheet or income statement drivers, such as Tax Provision of 29.5 M, Interest Income of 176.8 M or Depreciation And Amortization of 116.9 M, as well as many indicators such as Price To Sales Ratio of 5.63, Dividend Yield of 0.0 or PTB Ratio of 17.14. Snap financial statements analysis is a perfect complement when working with Snap Valuation or Volatility modules.
  
Check out the analysis of Snap Correlation against competitors.

Pair Trading with Snap

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

Moving against Snap Stock

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

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