Airship Non Currrent Assets Other from 2010 to 2024

AISP Stock   5.00  0.63  14.42%   
Airship AI Non Currrent Assets Other yearly trend continues to be relatively stable with very little volatility. Non Currrent Assets Other are likely to grow to about 191.4 K this year. Non Currrent Assets Other is assets that are not physical or tangible, expected to provide value for more than one year, and not easily converted into cash, such as long-term investments or patents. View All Fundamentals
 
Non Currrent Assets Other  
First Reported
2010-12-31
Previous Quarter
182.3 K
Current Value
191.4 K
Quarterly Volatility
133.4 M
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check Airship AI financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Airship AI's main balance sheet or income statement drivers, such as Tax Provision of 12.1 K, Interest Income of 37 K or Depreciation And Amortization of 438.8 K, as well as many indicators such as Price To Sales Ratio of 1.8, Dividend Yield of 0.0 or Days Sales Outstanding of 30.71. Airship financial statements analysis is a perfect complement when working with Airship AI Valuation or Volatility modules.
  
Check out the analysis of Airship AI Correlation against competitors.

Latest Airship AI's Non Currrent Assets Other Growth Pattern

Below is the plot of the Non Currrent Assets Other of Airship AI Holdings over the last few years. It is assets that are not physical or tangible, expected to provide value for more than one year, and not easily converted into cash, such as long-term investments or patents. Airship AI's Non Currrent Assets Other historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Airship AI's overall financial position and show how it may be relating to other accounts over time.
Non Currrent Assets Other10 Years Trend
Slightly volatile
   Non Currrent Assets Other   
       Timeline  

Airship Non Currrent Assets Other Regression Statistics

Arithmetic Mean(257,311,663)
Geometric Mean81,592,231
Coefficient Of Variation(51.85)
Mean Deviation103,121,169
Median(321,762,394)
Standard Deviation133,425,838
Sample Variance17802.5T
Range322.9M
R-Value0.69
Mean Square Error9931.2T
R-Squared0.48
Significance0
Slope20,713,062
Total Sum of Squares249234.4T

Airship Non Currrent Assets Other History

2024191.4 K
2023182.3 K
20221.1 M

About Airship AI Financial Statements

Airship AI shareholders use historical fundamental indicators, such as Non Currrent Assets Other, to determine how well the company is positioned to perform in the future. Although Airship AI investors may analyze each financial statement separately, they are all interrelated. The changes in Airship AI's assets and liabilities, for example, are also reflected in the revenues and expenses on on Airship AI'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
Non Currrent Assets Other182.3 K191.4 K

Pair Trading with Airship AI

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

Moving together with Airship Stock

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Moving against Airship Stock

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

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