Doosan Fuel (Korea) Market Value
| 33626L Stock | 8,620 220.00 2.62% |
| Symbol | Doosan |
Doosan Fuel '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 Fuel'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 Doosan Fuel.
| 10/22/2024 |
| 01/20/2025 |
If you would invest 0.00 in Doosan Fuel on October 22, 2024 and sell it all today you would earn a total of 0.00 from holding Doosan Fuel Cell or generate 0.0% return on investment in Doosan Fuel over 90 days.
Doosan Fuel 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 Fuel'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 Doosan Fuel Cell upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.18 | |||
| Information Ratio | 0.0216 | |||
| Maximum Drawdown | 10.27 | |||
| Value At Risk | (3.74) | |||
| Potential Upside | 3.5 |
Doosan Fuel Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Doosan Fuel's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Doosan Fuel's standard deviation. In reality, there are many statistical measures that can use Doosan Fuel historical prices to predict the future Doosan Fuel's volatility.| Risk Adjusted Performance | 0.0358 | |||
| Jensen Alpha | 0.0675 | |||
| Total Risk Alpha | 0.0155 | |||
| Sortino Ratio | 0.0211 | |||
| Treynor Ratio | (0.70) |
Doosan Fuel Cell Backtested Returns
At this point, Doosan Fuel is very steady. Doosan Fuel Cell secures Sharpe Ratio (or Efficiency) of 0.0355, which denotes the company had a 0.0355 % return per unit of risk over the last 3 months. We have found thirty technical indicators for Doosan Fuel Cell, which you can use to evaluate the volatility of the firm. Please confirm Doosan Fuel's Mean Deviation of 1.63, coefficient of variation of 2813.22, and Downside Deviation of 2.18 to check if the risk estimate we provide is consistent with the expected return of 0.0756%. Doosan Fuel has a performance score of 2 on a scale of 0 to 100. The firm shows a Beta (market volatility) of -0.094, which means not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Doosan Fuel are expected to decrease at a much lower rate. During the bear market, Doosan Fuel is likely to outperform the market. Doosan Fuel Cell right now shows a risk of 2.13%. Please confirm Doosan Fuel Cell standard deviation, total risk alpha, and the relationship between the coefficient of variation and jensen alpha , to decide if Doosan Fuel Cell will be following its price patterns.
Auto-correlation | -0.13 |
Insignificant reverse predictability
Doosan Fuel Cell has insignificant reverse predictability. Overlapping area represents the amount of predictability between Doosan Fuel time series from 22nd of October 2024 to 6th of December 2024 and 6th of December 2024 to 20th of January 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 Fuel Cell price movement. The serial correlation of -0.13 indicates that less than 13.0% of current Doosan Fuel price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.13 | |
| Spearman Rank Test | -0.52 | |
| Residual Average | 0.0 | |
| Price Variance | 79.3 K |
Doosan Fuel Cell lagged returns against current returns
Autocorrelation, which is Doosan Fuel 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 Fuel's stock expected returns. We can calculate the autocorrelation of Doosan Fuel returns to help us make a trade decision. For example, suppose you find that Doosan Fuel 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 Fuel 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 Fuel stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Doosan Fuel stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Doosan Fuel stock over time.
Current vs Lagged Prices |
| Timeline |
Doosan Fuel Lagged Returns
When evaluating Doosan Fuel's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Doosan Fuel stock have on its future price. Doosan Fuel 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 Fuel autocorrelation shows the relationship between Doosan Fuel stock current value and its past values and can show if there is a momentum factor associated with investing in Doosan Fuel Cell.
Regressed Prices |
| Timeline |
Pair Trading with Doosan Fuel
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 Fuel 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 Fuel will appreciate offsetting losses from the drop in the long position's value.Moving together with Doosan Stock
| 0.62 | 005930 | Samsung Electronics | PairCorr |
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| 0.71 | 207940 | Samsung Biologics Earnings Call This Week | PairCorr |
The ability to find closely correlated positions to Doosan Fuel 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 Fuel 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 Fuel - 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 Fuel Cell to buy it.
The correlation of Doosan Fuel 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 Fuel moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Doosan Fuel Cell 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 Fuel 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.