Design (Korea) Market Value
| 227100 Stock | KRW 698.00 89.00 14.61% |
| Symbol | Design |
Design '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 Design'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 Design.
| 06/24/2024 |
| 12/21/2024 |
If you would invest 0.00 in Design on June 24, 2024 and sell it all today you would earn a total of 0.00 from holding Design Co or generate 0.0% return on investment in Design over 180 days. Design is related to or competes with SK Chemicals, Sejong Telecom, ITM Semiconductor, Ssangyong Information, KT Submarine, Jeju Semiconductor, and Moadata Co. Design Co., Ltd. develops, produces, and sells secondary batteries More
Design 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 Design'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 Design Co upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 6.58 | |||
| Information Ratio | 0.0496 | |||
| Maximum Drawdown | 47.32 | |||
| Value At Risk | (11.32) | |||
| Potential Upside | 29.93 |
Design Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Design's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Design's standard deviation. In reality, there are many statistical measures that can use Design historical prices to predict the future Design's volatility.| Risk Adjusted Performance | 0.0509 | |||
| Jensen Alpha | 0.4997 | |||
| Total Risk Alpha | 0.2487 | |||
| Sortino Ratio | 0.0791 | |||
| Treynor Ratio | 0.2786 |
Design Backtested Returns
Design appears to be very steady, given 3 months investment horizon. Design secures Sharpe Ratio (or Efficiency) of 0.0339, which denotes the company had a 0.0339% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Design Co, which you can use to evaluate the volatility of the firm. Please utilize Design's Mean Deviation of 7.23, coefficient of variation of 1900.52, and Downside Deviation of 6.58 to check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Design holds a performance score of 2. The firm shows a Beta (market volatility) of 1.95, which means a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Design will likely underperform. Please check Design's jensen alpha, sortino ratio, and the relationship between the standard deviation and total risk alpha , to make a quick decision on whether Design's price patterns will revert.
Auto-correlation | 0.74 |
Good predictability
Design Co has good predictability. Overlapping area represents the amount of predictability between Design time series from 24th of June 2024 to 22nd of September 2024 and 22nd of September 2024 to 21st 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 Design price movement. The serial correlation of 0.74 indicates that around 74.0% of current Design price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.74 | |
| Spearman Rank Test | 0.44 | |
| Residual Average | 0.0 | |
| Price Variance | 43 K |
Design lagged returns against current returns
Autocorrelation, which is Design 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 Design's stock expected returns. We can calculate the autocorrelation of Design returns to help us make a trade decision. For example, suppose you find that Design 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 |
Design 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 Design stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Design stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Design stock over time.
Current vs Lagged Prices |
| Timeline |
Design Lagged Returns
When evaluating Design's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Design stock have on its future price. Design 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, Design autocorrelation shows the relationship between Design stock current value and its past values and can show if there is a momentum factor associated with investing in Design Co.
Regressed Prices |
| Timeline |
Pair Trading with Design
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 Design 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 Design will appreciate offsetting losses from the drop in the long position's value.Moving against Design Stock
| 0.57 | 025950 | Dongsin Engineering | PairCorr |
| 0.54 | 050960 | SOOSAN INT | PairCorr |
| 0.51 | 045340 | Total Soft Bank | PairCorr |
| 0.37 | 241840 | ASTORY CoLtd | PairCorr |
| 0.37 | 035900 | JYP Entertainment | PairCorr |
The ability to find closely correlated positions to Design could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Design 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 Design - 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 Design Co to buy it.
The correlation of Design 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 Design moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Design 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 Design 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.Other Information on Investing in Design Stock
Design financial ratios help investors to determine whether Design 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 Design with respect to the benefits of owning Design security.