KNOT Days Of Inventory On Hand from 2010 to 2024

KNOP Stock  USD 5.83  0.13  2.18%   
KNOT Offshore 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 4.98. During the period from 2010 to 2024, KNOT Offshore Days Of Inventory On Hand destribution of quarterly values had range of 6.6534 from its regression line and mean deviation of  0.92. View All Fundamentals
 
Days Of Inventory On Hand  
First Reported
2010-12-31
Previous Quarter
6.43046108
Current Value
4.98
Quarterly Volatility
1.48393782
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check KNOT Offshore financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among KNOT Offshore's main balance sheet or income statement drivers, such as Depreciation And Amortization of 71.8 M, Interest Expense of 76.3 M or Selling General Administrative of 5.1 M, as well as many indicators such as Price To Sales Ratio of 0.64, Dividend Yield of 0.1 or PTB Ratio of 0.31. KNOT financial statements analysis is a perfect complement when working with KNOT Offshore Valuation or Volatility modules.
  
Check out the analysis of KNOT Offshore Correlation against competitors.

Latest KNOT Offshore's Days Of Inventory On Hand Growth Pattern

Below is the plot of the Days Of Inventory On Hand of KNOT Offshore Partners over the last few years. It is KNOT Offshore's Days Of Inventory On Hand historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in KNOT Offshore's overall financial position and show how it may be relating to other accounts over time.
Days Of Inventory On Hand10 Years Trend
Slightly volatile
   Days Of Inventory On Hand   
       Timeline  

KNOT Days Of Inventory On Hand Regression Statistics

Arithmetic Mean6.12
Geometric Mean5.98
Coefficient Of Variation24.26
Mean Deviation0.92
Median5.77
Standard Deviation1.48
Sample Variance2.20
Range6.6534
R-Value0.38
Mean Square Error2.03
R-Squared0.14
Significance0.16
Slope0.13
Total Sum of Squares30.83

KNOT Days Of Inventory On Hand History

2024 4.98
2023 6.43
2022 10.71
2021 7.03
2020 6.42
2019 5.58
2018 6.13

About KNOT Offshore Financial Statements

KNOT Offshore 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 KNOT Offshore investors may analyze each financial statement separately, they are all interrelated. The changes in KNOT Offshore's assets and liabilities, for example, are also reflected in the revenues and expenses on on KNOT Offshore'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
Days Of Inventory On Hand 6.43  4.98 

Pair Trading with KNOT Offshore

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

Moving together with KNOT Stock

  0.77SB Safe BulkersPairCorr

Moving against KNOT Stock

  0.85SB-PD Safe BulkersPairCorr
  0.83SB-PC Safe BulkersPairCorr
  0.46KEX KirbyPairCorr
The ability to find closely correlated positions to KNOT Offshore could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace KNOT Offshore 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 KNOT Offshore - 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 KNOT Offshore Partners to buy it.
The correlation of KNOT Offshore 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 KNOT Offshore moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if KNOT Offshore Partners 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 KNOT Offshore 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 KNOT Stock Analysis

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