Hafnia Limited Stock Market Value
| HAFN Stock | 5.69 0.05 0.89% |
| Symbol | Hafnia |
Hafnia Limited Price To Book Ratio
Is Oil & Gas Storage & 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 Hafnia. If investors know Hafnia 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 Hafnia listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth (0.37) | Dividend Share 0.97 | Revenue Per Share 5.289 | Quarterly Revenue Growth 0.741 | Return On Assets 0.1275 |
The market value of Hafnia Limited is measured differently than its book value, which is the value of Hafnia that is recorded on the company's balance sheet. Investors also form their own opinion of Hafnia's value that differs from its market value or its book value, called intrinsic value, which is Hafnia'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 Hafnia's market value can be influenced by many factors that don't directly affect Hafnia'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 Hafnia's value and its price as these two are different measures arrived at by different means. Investors typically determine if Hafnia is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Hafnia'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.
Hafnia '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 Hafnia'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 Hafnia.
| 06/05/2024 |
| 12/02/2024 |
If you would invest 0.00 in Hafnia on June 5, 2024 and sell it all today you would earn a total of 0.00 from holding Hafnia Limited or generate 0.0% return on investment in Hafnia over 180 days. Hafnia is related to or competes with Triton International, Avis Budget, Xponential Fitness, and China Aircraft. Hafnia is entity of United States. It is traded as Stock on NYSE exchange. More
Hafnia 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 Hafnia'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 Hafnia Limited upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.22) | |||
| Maximum Drawdown | 9.2 | |||
| Value At Risk | (4.15) | |||
| Potential Upside | 3.44 |
Hafnia Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Hafnia's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Hafnia's standard deviation. In reality, there are many statistical measures that can use Hafnia historical prices to predict the future Hafnia's volatility.| Risk Adjusted Performance | (0.12) | |||
| Jensen Alpha | (0.39) | |||
| Total Risk Alpha | (0.77) | |||
| Treynor Ratio | (3.63) |
Hafnia Limited Backtested Returns
Hafnia Limited holds Efficiency (Sharpe) Ratio of -0.17, which attests that the entity had a -0.17% return per unit of risk over the last 3 months. Hafnia Limited exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Hafnia's Market Risk Adjusted Performance of (3.62), standard deviation of 2.31, and Risk Adjusted Performance of (0.12) to validate the risk estimate we provide. The company retains a Market Volatility (i.e., Beta) of 0.1, which attests to not very significant fluctuations relative to the market. As returns on the market increase, Hafnia's returns are expected to increase less than the market. However, during the bear market, the loss of holding Hafnia is expected to be smaller as well. At this point, Hafnia Limited has a negative expected return of -0.38%. Please make sure to check out Hafnia's potential upside, and the relationship between the total risk alpha and daily balance of power , to decide if Hafnia Limited performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.40 |
Average predictability
Hafnia Limited has average predictability. Overlapping area represents the amount of predictability between Hafnia time series from 5th of June 2024 to 3rd of September 2024 and 3rd of September 2024 to 2nd 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 Hafnia Limited price movement. The serial correlation of 0.4 indicates that just about 40.0% of current Hafnia price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.4 | |
| Spearman Rank Test | 0.28 | |
| Residual Average | 0.0 | |
| Price Variance | 0.72 |
Hafnia Limited lagged returns against current returns
Autocorrelation, which is Hafnia 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 Hafnia's stock expected returns. We can calculate the autocorrelation of Hafnia returns to help us make a trade decision. For example, suppose you find that Hafnia 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 |
Hafnia 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 Hafnia stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Hafnia stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Hafnia stock over time.
Current vs Lagged Prices |
| Timeline |
Hafnia Lagged Returns
When evaluating Hafnia's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Hafnia stock have on its future price. Hafnia 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, Hafnia autocorrelation shows the relationship between Hafnia stock current value and its past values and can show if there is a momentum factor associated with investing in Hafnia Limited.
Regressed Prices |
| Timeline |
Pair Trading with Hafnia
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 Hafnia 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 Hafnia will appreciate offsetting losses from the drop in the long position's value.Moving together with Hafnia Stock
Moving against Hafnia Stock
The ability to find closely correlated positions to Hafnia could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Hafnia 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 Hafnia - 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 Hafnia Limited to buy it.
The correlation of Hafnia 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 Hafnia moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Hafnia Limited 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 Hafnia 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.Check out Hafnia Correlation, Hafnia Volatility and Hafnia Alpha and Beta module to complement your research on Hafnia. You can also try the Odds Of Bankruptcy module to get analysis of equity chance of financial distress in the next 2 years.
Hafnia technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.