Dunia Virtual (Indonesia) Market Value
AREA Stock | 216.00 12.00 5.26% |
Symbol | Dunia |
Dunia Virtual '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 Dunia Virtual'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 Dunia Virtual.
09/02/2024 |
| 12/01/2024 |
If you would invest 0.00 in Dunia Virtual on September 2, 2024 and sell it all today you would earn a total of 0.00 from holding Dunia Virtual Online or generate 0.0% return on investment in Dunia Virtual over 90 days.
Dunia Virtual 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 Dunia Virtual'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 Dunia Virtual Online upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 3.05 | |||
Information Ratio | (0.03) | |||
Maximum Drawdown | 15.81 | |||
Value At Risk | (5.04) | |||
Potential Upside | 4.39 |
Dunia Virtual Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Dunia Virtual's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Dunia Virtual's standard deviation. In reality, there are many statistical measures that can use Dunia Virtual historical prices to predict the future Dunia Virtual's volatility.Risk Adjusted Performance | 0.0156 | |||
Jensen Alpha | 0.0654 | |||
Total Risk Alpha | (0.49) | |||
Sortino Ratio | (0.03) | |||
Treynor Ratio | (0.07) |
Dunia Virtual Online Backtested Returns
Dunia Virtual Online secures Sharpe Ratio (or Efficiency) of -0.003, which denotes the company had a -0.003% return per unit of risk over the last 3 months. Dunia Virtual Online exposes thirty different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Dunia Virtual's Mean Deviation of 2.39, downside deviation of 3.05, and Coefficient Of Variation of 9462.7 to check the risk estimate we provide. The firm shows a Beta (market volatility) of -0.34, which means possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Dunia Virtual are expected to decrease at a much lower rate. During the bear market, Dunia Virtual is likely to outperform the market. At this point, Dunia Virtual Online has a negative expected return of -0.0092%. Please make sure to confirm Dunia Virtual's coefficient of variation, jensen alpha, sortino ratio, as well as the relationship between the standard deviation and total risk alpha , to decide if Dunia Virtual Online performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.58 |
Modest predictability
Dunia Virtual Online has modest predictability. Overlapping area represents the amount of predictability between Dunia Virtual time series from 2nd of September 2024 to 17th of October 2024 and 17th of October 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 Dunia Virtual Online price movement. The serial correlation of 0.58 indicates that roughly 58.0% of current Dunia Virtual price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.58 | |
Spearman Rank Test | 0.25 | |
Residual Average | 0.0 | |
Price Variance | 212.13 |
Dunia Virtual Online lagged returns against current returns
Autocorrelation, which is Dunia Virtual 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 Dunia Virtual's stock expected returns. We can calculate the autocorrelation of Dunia Virtual returns to help us make a trade decision. For example, suppose you find that Dunia Virtual 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 |
Dunia Virtual 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 Dunia Virtual stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Dunia Virtual stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Dunia Virtual stock over time.
Current vs Lagged Prices |
Timeline |
Dunia Virtual Lagged Returns
When evaluating Dunia Virtual's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Dunia Virtual stock have on its future price. Dunia Virtual 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, Dunia Virtual autocorrelation shows the relationship between Dunia Virtual stock current value and its past values and can show if there is a momentum factor associated with investing in Dunia Virtual Online.
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 Architect