Precious Shipping (Thailand) Market Value
| PSL Stock | THB 6.75 0.15 2.27% |
| Symbol | Precious |
Precious 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 Precious 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 Precious Shipping.
| 07/31/2023 |
| 07/20/2025 |
If you would invest 0.00 in Precious Shipping on July 31, 2023 and sell it all today you would earn a total of 0.00 from holding Precious Shipping Public or generate 0.0% return on investment in Precious Shipping over 720 days. Precious Shipping is related to or competes with Thoresen Thai, Regional Container, Siam Cement, PTT Public, and Land. Precious Shipping Public Company Limited owns and operates dry bulk ships on a tramp-shipping basis worldwide More
Precious 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 Precious 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 Precious Shipping Public upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.26 | |||
| Information Ratio | 0.1314 | |||
| Maximum Drawdown | 12.48 | |||
| Value At Risk | (3.12) | |||
| Potential Upside | 5.03 |
Precious Shipping Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Precious Shipping's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Precious Shipping's standard deviation. In reality, there are many statistical measures that can use Precious Shipping historical prices to predict the future Precious Shipping's volatility.| Risk Adjusted Performance | 0.1801 | |||
| Jensen Alpha | 0.4946 | |||
| Total Risk Alpha | 0.1085 | |||
| Sortino Ratio | 0.1493 | |||
| Treynor Ratio | (2.38) |
Precious Shipping Public Backtested Returns
Precious Shipping appears to be slightly risky, given 3 months investment horizon. Precious Shipping Public maintains Sharpe Ratio (i.e., Efficiency) of 0.12, which implies the firm had a 0.12 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Precious Shipping Public, which you can use to evaluate the volatility of the company. Please evaluate Precious Shipping's Risk Adjusted Performance of 0.1801, coefficient of variation of 537.5, and Semi Deviation of 1.75 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Precious Shipping holds a performance score of 9. The company holds a Beta of -0.2, which implies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Precious Shipping are expected to decrease at a much lower rate. During the bear market, Precious Shipping is likely to outperform the market. Please check Precious Shipping's downside deviation, standard deviation, total risk alpha, as well as the relationship between the coefficient of variation and jensen alpha , to make a quick decision on whether Precious Shipping's historical price patterns will revert.
Auto-correlation | 0.11 |
Insignificant predictability
Precious Shipping Public has insignificant predictability. Overlapping area represents the amount of predictability between Precious Shipping time series from 31st of July 2023 to 25th of July 2024 and 25th of July 2024 to 20th of July 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Precious Shipping Public price movement. The serial correlation of 0.11 indicates that less than 11.0% of current Precious Shipping price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.11 | |
| Spearman Rank Test | -0.08 | |
| Residual Average | 0.0 | |
| Price Variance | 0.91 |
Precious Shipping Public lagged returns against current returns
Autocorrelation, which is Precious 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 Precious Shipping's stock expected returns. We can calculate the autocorrelation of Precious Shipping returns to help us make a trade decision. For example, suppose you find that Precious 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 |
Precious 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 Precious Shipping stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Precious Shipping stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Precious Shipping stock over time.
Current vs Lagged Prices |
| Timeline |
Precious Shipping Lagged Returns
When evaluating Precious Shipping's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Precious Shipping stock have on its future price. Precious 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, Precious Shipping autocorrelation shows the relationship between Precious Shipping stock current value and its past values and can show if there is a momentum factor associated with investing in Precious Shipping Public.
Regressed Prices |
| Timeline |
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Precious Shipping financial ratios help investors to determine whether Precious Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Precious with respect to the benefits of owning Precious Shipping security.