Daelim Industrial (Korea) Market Value
| 000215 Stock | 21,050 100.00 0.48% |
| Symbol | Daelim |
Daelim Industrial '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 Daelim Industrial'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 Daelim Industrial.
| 10/27/2024 |
| 11/26/2024 |
If you would invest 0.00 in Daelim Industrial on October 27, 2024 and sell it all today you would earn a total of 0.00 from holding Daelim Industrial Co or generate 0.0% return on investment in Daelim Industrial over 30 days.
Daelim Industrial 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 Daelim Industrial'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 Daelim Industrial Co upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.16) | |||
| Maximum Drawdown | 10.19 | |||
| Value At Risk | (3.08) | |||
| Potential Upside | 2.82 |
Daelim Industrial Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Daelim Industrial's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Daelim Industrial's standard deviation. In reality, there are many statistical measures that can use Daelim Industrial historical prices to predict the future Daelim Industrial's volatility.| Risk Adjusted Performance | (0.07) | |||
| Jensen Alpha | (0.19) | |||
| Total Risk Alpha | (0.51) | |||
| Treynor Ratio | 2.41 |
Daelim Industrial Backtested Returns
Daelim Industrial secures Sharpe Ratio (or Efficiency) of -0.14, which denotes the company had a -0.14% return per unit of standard deviation over the last 3 months. Daelim Industrial Co exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Daelim Industrial's Mean Deviation of 1.52, coefficient of variation of (1,069), and Standard Deviation of 1.99 to check the risk estimate we provide. The firm shows a Beta (market volatility) of -0.0813, which means not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Daelim Industrial are expected to decrease at a much lower rate. During the bear market, Daelim Industrial is likely to outperform the market. At this point, Daelim Industrial has a negative expected return of -0.29%. Please make sure to confirm Daelim Industrial's standard deviation, total risk alpha, and the relationship between the coefficient of variation and jensen alpha , to decide if Daelim Industrial performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.41 |
Modest reverse predictability
Daelim Industrial Co has modest reverse predictability. Overlapping area represents the amount of predictability between Daelim Industrial time series from 27th of October 2024 to 11th of November 2024 and 11th of November 2024 to 26th of November 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 Daelim Industrial price movement. The serial correlation of -0.41 indicates that just about 41.0% of current Daelim Industrial price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.41 | |
| Spearman Rank Test | -0.51 | |
| Residual Average | 0.0 | |
| Price Variance | 217.9 K |
Daelim Industrial lagged returns against current returns
Autocorrelation, which is Daelim Industrial 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 Daelim Industrial's stock expected returns. We can calculate the autocorrelation of Daelim Industrial returns to help us make a trade decision. For example, suppose you find that Daelim Industrial 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 |
Daelim Industrial 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 Daelim Industrial stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Daelim Industrial stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Daelim Industrial stock over time.
Current vs Lagged Prices |
| Timeline |
Daelim Industrial Lagged Returns
When evaluating Daelim Industrial's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Daelim Industrial stock have on its future price. Daelim Industrial 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, Daelim Industrial autocorrelation shows the relationship between Daelim Industrial stock current value and its past values and can show if there is a momentum factor associated with investing in Daelim Industrial Co.
Regressed Prices |
| Timeline |
Pair Trading with Daelim Industrial
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 Daelim Industrial 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 Daelim Industrial will appreciate offsetting losses from the drop in the long position's value.Moving together with Daelim Stock
The ability to find closely correlated positions to Daelim Industrial could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Daelim Industrial 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 Daelim Industrial - 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 Daelim Industrial Co to buy it.
The correlation of Daelim Industrial 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 Daelim Industrial moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Daelim Industrial 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 Daelim Industrial 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.