Himalaya Non Current Assets Total vs Net Invested Capital Analysis

HSHP Stock   6.91  0.24  3.36%   
Himalaya Shipping financial indicator trend analysis is much more than just examining Himalaya Shipping latest accounting drivers to predict future trends. We encourage investors to analyze account correlations over time for multiple indicators to determine whether Himalaya Shipping is a good investment. Please check the relationship between Himalaya Shipping Non Current Assets Total and its Net Invested Capital accounts. Check out Risk vs Return Analysis to better understand how to build diversified portfolios, which includes a position in Himalaya Shipping. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in rate.
To learn how to invest in Himalaya Stock, please use our How to Invest in Himalaya Shipping guide.

Non Current Assets Total vs Net Invested Capital

Non Current Assets Total vs Net Invested Capital Correlation Analysis

The overlapping area represents the amount of trend that can be explained by analyzing historical patterns of Himalaya Shipping Non Current Assets Total account and Net Invested Capital. At this time, the significance of the direction appears to have totally related.
The correlation between Himalaya Shipping's Non Current Assets Total and Net Invested Capital is 1.0. Overlapping area represents the amount of variation of Non Current Assets Total that can explain the historical movement of Net Invested Capital in the same time period over historical financial statements of Himalaya Shipping, assuming nothing else is changed. The correlation between historical values of Himalaya Shipping's Non Current Assets Total and Net Invested Capital is a relative statistical measure of the degree to which these accounts tend to move together. The correlation coefficient measures the extent to which Non Current Assets Total of Himalaya Shipping are associated (or correlated) with its Net Invested Capital. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when Net Invested Capital has no effect on the direction of Non Current Assets Total i.e., Himalaya Shipping's Non Current Assets Total and Net Invested Capital go up and down completely randomly.

Correlation Coefficient

1.0
Relationship DirectionPositive 
Relationship StrengthVery Strong

Non Current Assets Total

The total value of a company's long-term assets, which are not expected to be converted into cash or used up within one year or the operating cycle, including property, plant, and equipment, and intangible assets.

Net Invested Capital

The total amount of capital invested in a company, including both equity and debt, minus any cash or cash equivalents.
Most indicators from Himalaya Shipping's fundamental ratios are interrelated and interconnected. However, analyzing fundamental ratios indicators one by one will only give a small insight into Himalaya Shipping current financial condition. On the other hand, looking into the entire matrix of fundamental ratios indicators, and analyzing their relationships over time can provide a more complete picture of the company financial strength now and in the future. Check out Risk vs Return Analysis to better understand how to build diversified portfolios, which includes a position in Himalaya Shipping. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in rate.
To learn how to invest in Himalaya Stock, please use our How to Invest in Himalaya Shipping guide.At this time, Himalaya Shipping's Enterprise Value Over EBITDA is relatively stable compared to the past year. As of 11/22/2024, Enterprise Value Multiple is likely to grow to 27.80, while Selling General Administrative is likely to drop slightly above 2.7 M.
 2010 2023 2024 (projected)
Interest Expense2.9M13.6M9.1M
Interest Income38K830K477.4K

Himalaya Shipping fundamental ratios Correlations

0.980.810.98-0.73-0.771.00.91-0.360.140.691.00.85-0.810.690.910.910.990.911.01.00.840.97-0.84-0.160.98
0.980.910.93-0.72-0.770.990.91-0.530.320.540.990.93-0.90.540.970.90.940.910.970.990.720.93-0.93-0.350.94
0.810.910.71-0.64-0.70.830.8-0.830.670.140.820.99-0.990.140.980.780.730.80.790.820.360.73-1.0-0.690.74
0.980.930.71-0.78-0.80.980.92-0.2-0.040.790.980.75-0.720.790.840.931.00.920.990.980.910.99-0.740.010.99
-0.73-0.72-0.64-0.781.0-0.73-0.940.240.02-0.47-0.73-0.560.73-0.47-0.73-0.95-0.77-0.94-0.73-0.73-0.58-0.840.640.0-0.84
-0.77-0.77-0.7-0.81.0-0.77-0.960.31-0.05-0.45-0.77-0.630.79-0.45-0.79-0.96-0.8-0.96-0.76-0.77-0.58-0.860.710.08-0.86
1.00.990.830.98-0.73-0.770.92-0.390.160.671.00.86-0.820.670.920.910.980.921.01.00.820.97-0.85-0.190.97
0.910.910.80.92-0.94-0.960.92-0.380.120.560.920.78-0.860.570.91.00.921.00.910.920.720.96-0.82-0.140.96
-0.36-0.53-0.83-0.20.240.31-0.39-0.38-0.960.42-0.39-0.790.80.42-0.7-0.34-0.23-0.37-0.33-0.380.2-0.230.810.97-0.24
0.140.320.67-0.040.02-0.050.160.12-0.96-0.60.160.64-0.61-0.60.50.08-0.010.110.10.16-0.4-0.02-0.64-1.0-0.01
0.690.540.140.79-0.47-0.450.670.560.42-0.60.670.22-0.151.00.330.590.780.560.720.670.970.75-0.180.580.74
1.00.990.820.98-0.73-0.771.00.92-0.390.160.670.86-0.820.670.920.910.990.921.01.00.830.97-0.85-0.190.97
0.850.930.990.75-0.56-0.630.860.78-0.790.640.220.86-0.960.220.970.760.770.780.830.860.440.75-0.99-0.660.76
-0.81-0.9-0.99-0.720.730.79-0.82-0.860.8-0.61-0.15-0.82-0.96-0.15-0.98-0.84-0.74-0.86-0.79-0.82-0.37-0.760.990.63-0.77
0.690.540.140.79-0.47-0.450.670.570.42-0.61.00.670.22-0.150.330.590.780.570.720.680.970.75-0.180.580.75
0.910.970.980.84-0.73-0.790.920.9-0.70.50.330.920.97-0.980.330.880.850.90.890.920.540.85-0.99-0.520.86
0.910.90.780.93-0.95-0.960.911.0-0.340.080.590.910.76-0.840.590.880.931.00.910.910.730.96-0.8-0.10.96
0.990.940.731.0-0.77-0.80.980.92-0.23-0.010.780.990.77-0.740.780.850.930.920.990.990.90.99-0.76-0.020.99
0.910.910.80.92-0.94-0.960.921.0-0.370.110.560.920.78-0.860.570.91.00.920.910.920.720.96-0.82-0.140.96
1.00.970.790.99-0.73-0.761.00.91-0.330.10.721.00.83-0.790.720.890.910.990.911.00.860.98-0.82-0.130.98
1.00.990.820.98-0.73-0.771.00.92-0.380.160.671.00.86-0.820.680.920.910.990.921.00.830.97-0.85-0.180.97
0.840.720.360.91-0.58-0.580.820.720.2-0.40.970.830.44-0.370.970.540.730.90.720.860.830.88-0.410.380.87
0.970.930.730.99-0.84-0.860.970.96-0.23-0.020.750.970.75-0.760.750.850.960.990.960.980.970.88-0.76-0.011.0
-0.84-0.93-1.0-0.740.640.71-0.85-0.820.81-0.64-0.18-0.85-0.990.99-0.18-0.99-0.8-0.76-0.82-0.82-0.85-0.41-0.760.66-0.76
-0.16-0.35-0.690.010.00.08-0.19-0.140.97-1.00.58-0.19-0.660.630.58-0.52-0.1-0.02-0.14-0.13-0.180.38-0.010.66-0.02
0.980.940.740.99-0.84-0.860.970.96-0.24-0.010.740.970.76-0.770.750.860.960.990.960.980.970.871.0-0.76-0.02
Click cells to compare fundamentals

Himalaya Shipping Account Relationship Matchups

Pair Trading with Himalaya Shipping

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

Moving together with Himalaya Stock

  0.82SB Safe BulkersPairCorr

Moving against Himalaya Stock

  0.46SB-PC Safe BulkersPairCorr
  0.41SB-PD Safe BulkersPairCorr
  0.37PXSAP Pyxis TankersPairCorr
The ability to find closely correlated positions to Himalaya Shipping could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Himalaya Shipping 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 Himalaya Shipping - 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 Himalaya Shipping to buy it.
The correlation of Himalaya Shipping 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 Himalaya Shipping moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Himalaya Shipping 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 Himalaya Shipping 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 Himalaya Stock Analysis

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