Himalaya Shipping Stock Market Value
| HSHP Stock | 6.21 0.16 2.51% |
| Symbol | Himalaya |
Himalaya Shipping Price To Book Ratio
Is Marine Transportation space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Himalaya Shipping. If investors know Himalaya will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Himalaya Shipping listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share 0.58 | Revenue Per Share 2.595 | Quarterly Revenue Growth 2.828 | Return On Assets 0.0538 | Return On Equity 0.1683 |
The market value of Himalaya Shipping is measured differently than its book value, which is the value of Himalaya that is recorded on the company's balance sheet. Investors also form their own opinion of Himalaya Shipping's value that differs from its market value or its book value, called intrinsic value, which is Himalaya Shipping's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Himalaya Shipping's market value can be influenced by many factors that don't directly affect Himalaya Shipping's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Himalaya Shipping's value and its price as these two are different measures arrived at by different means. Investors typically determine if Himalaya Shipping is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Himalaya Shipping's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
Himalaya Shipping 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Himalaya Shipping's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Himalaya Shipping.
| 12/12/2022 |
| 12/01/2024 |
If you would invest 0.00 in Himalaya Shipping on December 12, 2022 and sell it all today you would earn a total of 0.00 from holding Himalaya Shipping or generate 0.0% return on investment in Himalaya Shipping over 720 days. Himalaya Shipping is related to or competes with Genco Shipping, Costamare, Ardmore Shpng, Global Ship, Navios Maritime, and Diana Shipping. Himalaya Shipping is entity of United States More
Himalaya Shipping Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Himalaya Shipping's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Himalaya Shipping upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.15) | |||
| Maximum Drawdown | 12.97 | |||
| Value At Risk | (3.36) | |||
| Potential Upside | 4.44 |
Himalaya Shipping Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Himalaya Shipping's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Himalaya Shipping's standard deviation. In reality, there are many statistical measures that can use Himalaya Shipping historical prices to predict the future Himalaya Shipping's volatility.| Risk Adjusted Performance | (0.06) | |||
| Jensen Alpha | (0.29) | |||
| Total Risk Alpha | (0.64) | |||
| Treynor Ratio | (0.45) |
Himalaya Shipping Backtested Returns
Himalaya Shipping holds Efficiency (Sharpe) Ratio of -0.0778, which attests that the entity had a -0.0778% return per unit of risk over the last 3 months. Himalaya Shipping exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Himalaya Shipping's Standard Deviation of 2.44, risk adjusted performance of (0.06), and Market Risk Adjusted Performance of (0.44) to validate the risk estimate we provide. The company retains a Market Volatility (i.e., Beta) of 0.51, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, Himalaya Shipping's returns are expected to increase less than the market. However, during the bear market, the loss of holding Himalaya Shipping is expected to be smaller as well. At this point, Himalaya Shipping has a negative expected return of -0.19%. Please make sure to check out Himalaya Shipping's potential upside, as well as the relationship between the rate of daily change and period momentum indicator , to decide if Himalaya Shipping performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.64 |
Very good reverse predictability
Himalaya Shipping has very good reverse predictability. Overlapping area represents the amount of predictability between Himalaya Shipping time series from 12th of December 2022 to 7th of December 2023 and 7th of December 2023 to 1st of December 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Himalaya Shipping price movement. The serial correlation of -0.64 indicates that roughly 64.0% of current Himalaya Shipping price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.64 | |
| Spearman Rank Test | -0.4 | |
| Residual Average | 0.0 | |
| Price Variance | 0.73 |
Himalaya Shipping lagged returns against current returns
Autocorrelation, which is Himalaya Shipping stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Himalaya Shipping's stock expected returns. We can calculate the autocorrelation of Himalaya Shipping returns to help us make a trade decision. For example, suppose you find that Himalaya Shipping has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Himalaya Shipping regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Himalaya Shipping stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Himalaya Shipping stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Himalaya Shipping stock over time.
Current vs Lagged Prices |
| Timeline |
Himalaya Shipping Lagged Returns
When evaluating Himalaya Shipping's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Himalaya Shipping stock have on its future price. Himalaya Shipping autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Himalaya Shipping autocorrelation shows the relationship between Himalaya Shipping stock current value and its past values and can show if there is a momentum factor associated with investing in Himalaya Shipping.
Regressed Prices |
| Timeline |
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
Moving against Himalaya Stock
| 0.82 | ULTRF | Ultrapetrol Bahamas | PairCorr |
| 0.63 | HTCO | Caravelle International Symbol Change | PairCorr |
| 0.5 | SB-PC | Safe Bulkers | PairCorr |
| 0.5 | SB-PD | Safe Bulkers | PairCorr |
| 0.36 | ICON | Icon Energy Corp | PairCorr |
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.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.