DaeChang Solution (Korea) Market Value
| 096350 Stock | KRW 445.00 3.00 0.67% |
| Symbol | DaeChang |
DaeChang Solution '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 DaeChang Solution'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 DaeChang Solution.
| 03/04/2024 |
| 06/02/2024 |
If you would invest 0.00 in DaeChang Solution on March 4, 2024 and sell it all today you would earn a total of 0.00 from holding DaeChang Solution Co or generate 0.0% return on investment in DaeChang Solution over 90 days. DaeChang Solution is related to or competes with Samsung Electronics, Samsung Electronics, LG Energy, SK Hynix, Samsung Biologics, LG Chem, and LG Chemicals. DaeChang Solution Co., Ltd. produces marine engine parts, machinery parts, power plant parts, and offshore plant parts p... More
DaeChang Solution 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 DaeChang Solution'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 DaeChang Solution Co upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.04) | |||
| Maximum Drawdown | 12.76 | |||
| Value At Risk | (3.02) | |||
| Potential Upside | 4.02 |
DaeChang Solution Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for DaeChang Solution's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as DaeChang Solution's standard deviation. In reality, there are many statistical measures that can use DaeChang Solution historical prices to predict the future DaeChang Solution's volatility.| Risk Adjusted Performance | (0) | |||
| Jensen Alpha | (0.05) | |||
| Total Risk Alpha | (0.17) | |||
| Treynor Ratio | (0.91) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of DaeChang Solution's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
DaeChang Solution Backtested Returns
DaeChang Solution secures Sharpe Ratio (or Efficiency) of -0.0835, which denotes the company had a -0.0835% return per unit of standard deviation over the last 3 months. DaeChang Solution Co exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm DaeChang Solution's Standard Deviation of 2.22, coefficient of variation of (5,632), and Mean Deviation of 1.69 to check the risk estimate we provide. The firm shows a Beta (market volatility) of 0.0543, which means not very significant fluctuations relative to the market. As returns on the market increase, DaeChang Solution's returns are expected to increase less than the market. However, during the bear market, the loss of holding DaeChang Solution is expected to be smaller as well. DaeChang Solution has an expected return of -0.17%. Please make sure to confirm DaeChang Solution standard deviation, total risk alpha, and the relationship between the coefficient of variation and jensen alpha , to decide if DaeChang Solution performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.13 |
Insignificant predictability
DaeChang Solution Co has insignificant predictability. Overlapping area represents the amount of predictability between DaeChang Solution time series from 4th of March 2024 to 18th of April 2024 and 18th of April 2024 to 2nd of June 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 DaeChang Solution price movement. The serial correlation of 0.13 indicates that less than 13.0% of current DaeChang Solution price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.13 | |
| Spearman Rank Test | 0.04 | |
| Residual Average | 0.0 | |
| Price Variance | 111.94 |
DaeChang Solution lagged returns against current returns
Autocorrelation, which is DaeChang Solution 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 DaeChang Solution's stock expected returns. We can calculate the autocorrelation of DaeChang Solution returns to help us make a trade decision. For example, suppose you find that DaeChang Solution 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 |
DaeChang Solution 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 DaeChang Solution stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if DaeChang Solution stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in DaeChang Solution stock over time.
Current vs Lagged Prices |
| Timeline |
DaeChang Solution Lagged Returns
When evaluating DaeChang Solution's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of DaeChang Solution stock have on its future price. DaeChang Solution 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, DaeChang Solution autocorrelation shows the relationship between DaeChang Solution stock current value and its past values and can show if there is a momentum factor associated with investing in DaeChang Solution Co.
Regressed Prices |
| Timeline |
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Try AI Portfolio ArchitectCheck out DaeChang Solution Correlation, DaeChang Solution Volatility and DaeChang Solution Alpha and Beta module to complement your research on DaeChang Solution. Note that the DaeChang Solution information on this page should be used as a complementary analysis to other DaeChang Solution's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Commodity Channel module to use Commodity Channel Index to analyze current equity momentum.
Complementary Tools for DaeChang Stock analysis
When running DaeChang Solution's price analysis, check to measure DaeChang Solution's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy DaeChang Solution is operating at the current time. Most of DaeChang Solution's value examination focuses on studying past and present price action to predict the probability of DaeChang Solution's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move DaeChang Solution's price. Additionally, you may evaluate how the addition of DaeChang Solution to your portfolios can decrease your overall portfolio volatility.
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DaeChang Solution technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.