Doosan Robotics (Korea) Market Value
| 454910 Stock | 62,000 600.00 0.96% |
| Symbol | Doosan |
Doosan Robotics '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 Doosan Robotics' 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 Doosan Robotics.
| 12/14/2024 |
| 03/14/2025 |
If you would invest 0.00 in Doosan Robotics on December 14, 2024 and sell it all today you would earn a total of 0.00 from holding Doosan Robotics or generate 0.0% return on investment in Doosan Robotics over 90 days.
Doosan Robotics 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 Doosan Robotics' 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 Doosan Robotics upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | 0.0115 | |||
| Maximum Drawdown | 33.5 | |||
| Value At Risk | (5.40) | |||
| Potential Upside | 4.74 |
Doosan Robotics Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Doosan Robotics' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Doosan Robotics' standard deviation. In reality, there are many statistical measures that can use Doosan Robotics historical prices to predict the future Doosan Robotics' volatility.| Risk Adjusted Performance | (0) | |||
| Jensen Alpha | (0.04) | |||
| Total Risk Alpha | 0.6471 | |||
| Treynor Ratio | (0.26) |
Doosan Robotics Backtested Returns
Doosan Robotics appears to be very steady, given 3 months investment horizon. Doosan Robotics secures Sharpe Ratio (or Efficiency) of 0.0771, which denotes the company had a 0.0771 % return per unit of risk over the last 3 months. We have found twenty-three technical indicators for Doosan Robotics, which you can use to evaluate the volatility of the firm. Please utilize Doosan Robotics' Mean Deviation of 2.57, variance of 22.29, and Standard Deviation of 4.72 to check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Doosan Robotics holds a performance score of 6. The firm shows a Beta (market volatility) of 0.28, which means not very significant fluctuations relative to the market. As returns on the market increase, Doosan Robotics' returns are expected to increase less than the market. However, during the bear market, the loss of holding Doosan Robotics is expected to be smaller as well. Please check Doosan Robotics' standard deviation, total risk alpha, maximum drawdown, as well as the relationship between the jensen alpha and treynor ratio , to make a quick decision on whether Doosan Robotics' price patterns will revert.
Auto-correlation | -0.25 |
Weak reverse predictability
Doosan Robotics has weak reverse predictability. Overlapping area represents the amount of predictability between Doosan Robotics time series from 14th of December 2024 to 28th of January 2025 and 28th of January 2025 to 14th 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 Doosan Robotics price movement. The serial correlation of -0.25 indicates that over 25.0% of current Doosan Robotics price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.25 | |
| Spearman Rank Test | -0.49 | |
| Residual Average | 0.0 | |
| Price Variance | 13.8 M |
Doosan Robotics lagged returns against current returns
Autocorrelation, which is Doosan Robotics 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 Doosan Robotics' stock expected returns. We can calculate the autocorrelation of Doosan Robotics returns to help us make a trade decision. For example, suppose you find that Doosan Robotics 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 |
Doosan Robotics 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 Doosan Robotics stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Doosan Robotics stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Doosan Robotics stock over time.
Current vs Lagged Prices |
| Timeline |
Doosan Robotics Lagged Returns
When evaluating Doosan Robotics' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Doosan Robotics stock have on its future price. Doosan Robotics 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, Doosan Robotics autocorrelation shows the relationship between Doosan Robotics stock current value and its past values and can show if there is a momentum factor associated with investing in Doosan Robotics.
Regressed Prices |
| Timeline |
Pair Trading with Doosan Robotics
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 Doosan Robotics 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 Doosan Robotics will appreciate offsetting losses from the drop in the long position's value.Moving together with Doosan Stock
Moving against Doosan Stock
The ability to find closely correlated positions to Doosan Robotics could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Doosan Robotics 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 Doosan Robotics - 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 Doosan Robotics to buy it.
The correlation of Doosan Robotics 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 Doosan Robotics moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Doosan Robotics 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 Doosan Robotics 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.