Golden Ocean Group Stock Market Value
| GOGL Stock | USD 10.00 0.09 0.89% |
| Symbol | Golden |
Golden Ocean Group 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 Golden Ocean. If investors know Golden 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 Golden Ocean 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 0.822 | Earnings Share 1.21 | Revenue Per Share 4.871 | Quarterly Revenue Growth 0.172 | Return On Assets 0.0541 |
The market value of Golden Ocean Group is measured differently than its book value, which is the value of Golden that is recorded on the company's balance sheet. Investors also form their own opinion of Golden Ocean's value that differs from its market value or its book value, called intrinsic value, which is Golden Ocean'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 Golden Ocean's market value can be influenced by many factors that don't directly affect Golden Ocean'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 Golden Ocean's value and its price as these two are different measures arrived at by different means. Investors typically determine if Golden Ocean is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Golden Ocean'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.
Golden Ocean '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 Golden Ocean'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 Golden Ocean.
| 11/01/2024 |
| 12/01/2024 |
If you would invest 0.00 in Golden Ocean on November 1, 2024 and sell it all today you would earn a total of 0.00 from holding Golden Ocean Group or generate 0.0% return on investment in Golden Ocean over 30 days. Golden Ocean is related to or competes with Genco Shipping, Global Ship, Diana Shipping, Star Bulk, Danaos, Oceanpal, and Costamare. Golden Ocean Group Limited, a shipping company, owns and operates a fleet of dry bulk vessels comprising Newcastlemax, C... More
Golden Ocean 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 Golden Ocean'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 Golden Ocean Group upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.15) | |||
| Maximum Drawdown | 14.22 | |||
| Value At Risk | (4.39) | |||
| Potential Upside | 3.81 |
Golden Ocean Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Golden Ocean's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Golden Ocean's standard deviation. In reality, there are many statistical measures that can use Golden Ocean historical prices to predict the future Golden Ocean's volatility.| Risk Adjusted Performance | (0.06) | |||
| Jensen Alpha | (0.31) | |||
| Total Risk Alpha | (0.62) | |||
| Treynor Ratio | (0.35) |
Golden Ocean Group Backtested Returns
Golden Ocean Group holds Efficiency (Sharpe) Ratio of -0.0744, which attests that the entity had a -0.0744% return per unit of risk over the last 3 months. Golden Ocean Group exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Golden Ocean's Standard Deviation of 2.38, risk adjusted performance of (0.06), and Market Risk Adjusted Performance of (0.34) to validate the risk estimate we provide. The company retains a Market Volatility (i.e., Beta) of 0.65, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, Golden Ocean's returns are expected to increase less than the market. However, during the bear market, the loss of holding Golden Ocean is expected to be smaller as well. At this point, Golden Ocean Group has a negative expected return of -0.17%. Please make sure to check out Golden Ocean's kurtosis, and the relationship between the maximum drawdown and day median price , to decide if Golden Ocean Group performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.82 |
Excellent reverse predictability
Golden Ocean Group has excellent reverse predictability. Overlapping area represents the amount of predictability between Golden Ocean time series from 1st of November 2024 to 16th of November 2024 and 16th of November 2024 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 Golden Ocean Group price movement. The serial correlation of -0.82 indicates that around 82.0% of current Golden Ocean price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.82 | |
| Spearman Rank Test | -0.79 | |
| Residual Average | 0.0 | |
| Price Variance | 0.6 |
Golden Ocean Group lagged returns against current returns
Autocorrelation, which is Golden Ocean 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 Golden Ocean's stock expected returns. We can calculate the autocorrelation of Golden Ocean returns to help us make a trade decision. For example, suppose you find that Golden Ocean 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 |
Golden Ocean 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 Golden Ocean stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Golden Ocean stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Golden Ocean stock over time.
Current vs Lagged Prices |
| Timeline |
Golden Ocean Lagged Returns
When evaluating Golden Ocean's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Golden Ocean stock have on its future price. Golden Ocean 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, Golden Ocean autocorrelation shows the relationship between Golden Ocean stock current value and its past values and can show if there is a momentum factor associated with investing in Golden Ocean Group.
Regressed Prices |
| Timeline |
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Golden Ocean 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.