J Resources (Indonesia) Market Value
| PSAB Stock | IDR 238.00 2.00 0.85% |
| Symbol | PSAB |
J Resources '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 J Resources' 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 J Resources.
| 12/16/2024 |
| 03/16/2025 |
If you would invest 0.00 in J Resources on December 16, 2024 and sell it all today you would earn a total of 0.00 from holding J Resources Asia or generate 0.0% return on investment in J Resources over 90 days. J Resources is related to or competes with Merdeka Copper, Golden Eagle, Rukun Raharja, Wilton Makmur, and Surya Citra. More
J Resources 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 J Resources' 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 J Resources Asia upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.04) | |||
| Maximum Drawdown | 30.53 | |||
| Value At Risk | (5.74) | |||
| Potential Upside | 6.4 |
J Resources Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for J Resources' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as J Resources' standard deviation. In reality, there are many statistical measures that can use J Resources historical prices to predict the future J Resources' volatility.| Risk Adjusted Performance | (0.04) | |||
| Jensen Alpha | (0.32) | |||
| Total Risk Alpha | 0.3201 | |||
| Treynor Ratio | 5.8 |
J Resources Asia Backtested Returns
J Resources Asia holds Efficiency (Sharpe) Ratio of -0.0497, which attests that the company had a -0.0497 % return per unit of volatility over the last 3 months. J Resources Asia exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out J Resources' coefficient of variation of (1,666), and Market Risk Adjusted Performance of 5.81 to validate the risk estimate we provide. The firm retains a Market Volatility (i.e., Beta) of -0.0541, which attests to not very significant fluctuations relative to the market. As returns on the market increase, returns on owning J Resources are expected to decrease at a much lower rate. During the bear market, J Resources is likely to outperform the market. At this point, J Resources Asia has a negative expected return of -0.26%. Please make sure to check out J Resources' skewness, accumulation distribution, and the relationship between the potential upside and kurtosis , to decide if J Resources Asia performance from the past will be repeated sooner or later.
Auto-correlation | -0.63 |
Very good reverse predictability
J Resources Asia has very good reverse predictability. Overlapping area represents the amount of predictability between J Resources time series from 16th of December 2024 to 30th of January 2025 and 30th of January 2025 to 16th of March 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 J Resources Asia price movement. The serial correlation of -0.63 indicates that roughly 63.0% of current J Resources price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.63 | |
| Spearman Rank Test | -0.28 | |
| Residual Average | 0.0 | |
| Price Variance | 432.7 |
J Resources Asia lagged returns against current returns
Autocorrelation, which is J Resources 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 J Resources' stock expected returns. We can calculate the autocorrelation of J Resources returns to help us make a trade decision. For example, suppose you find that J Resources 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 |
J Resources 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 J Resources stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if J Resources stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in J Resources stock over time.
Current vs Lagged Prices |
| Timeline |
J Resources Lagged Returns
When evaluating J Resources' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of J Resources stock have on its future price. J Resources 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, J Resources autocorrelation shows the relationship between J Resources stock current value and its past values and can show if there is a momentum factor associated with investing in J Resources Asia.
Regressed Prices |
| Timeline |
Building efficient market-beating portfolios requires time, education, and a lot of computing power!
The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.
Try AI Portfolio ArchitectOther Information on Investing in PSAB Stock
J Resources financial ratios help investors to determine whether PSAB 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 PSAB with respect to the benefits of owning J Resources security.