LS Materials (Korea) Market Value
| 417200 Stock | 11,920 960.00 8.76% |
| Symbol | 417200 |
LS Materials '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 LS Materials' 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 LS Materials.
| 12/17/2024 |
| 03/17/2025 |
If you would invest 0.00 in LS Materials on December 17, 2024 and sell it all today you would earn a total of 0.00 from holding LS Materials or generate 0.0% return on investment in LS Materials over 90 days.
LS Materials 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 LS Materials' 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 LS Materials upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.94 | |||
| Information Ratio | 0.0616 | |||
| Maximum Drawdown | 26.41 | |||
| Value At Risk | (5.37) | |||
| Potential Upside | 6.43 |
LS Materials Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for LS Materials' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as LS Materials' standard deviation. In reality, there are many statistical measures that can use LS Materials historical prices to predict the future LS Materials' volatility.| Risk Adjusted Performance | 0.04 | |||
| Jensen Alpha | 0.3097 | |||
| Total Risk Alpha | 0.6427 | |||
| Sortino Ratio | 0.0844 | |||
| Treynor Ratio | 0.0886 |
LS Materials Backtested Returns
At this point, LS Materials is very steady. LS Materials retains Efficiency (Sharpe Ratio) of 0.0503, which conveys that the firm had a 0.0503 % return per unit of price deviation over the last 3 months. We have found thirty technical indicators for LS Materials, which you can use to evaluate the volatility of the firm. Please verify LS Materials' Standard Deviation of 4.02, market risk adjusted performance of 0.0986, and Mean Deviation of 2.62 to check out if the risk estimate we provide is consistent with the expected return of 0.19%. LS Materials has a performance score of 3 on a scale of 0 to 100. The company owns a Beta (Systematic Risk) of 1.57, which conveys 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, LS Materials will likely underperform. LS Materials today owns a risk of 3.87%. Please verify LS Materials market risk adjusted performance, semi deviation, coefficient of variation, as well as the relationship between the mean deviation and downside deviation , to decide if LS Materials will be following its current price history.
Auto-correlation | -0.86 |
Excellent reverse predictability
LS Materials has excellent reverse predictability. Overlapping area represents the amount of predictability between LS Materials time series from 17th of December 2024 to 31st of January 2025 and 31st of January 2025 to 17th 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 LS Materials price movement. The serial correlation of -0.86 indicates that approximately 86.0% of current LS Materials price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.86 | |
| Spearman Rank Test | -0.77 | |
| Residual Average | 0.0 | |
| Price Variance | 599 K |
LS Materials lagged returns against current returns
Autocorrelation, which is LS Materials 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 LS Materials' stock expected returns. We can calculate the autocorrelation of LS Materials returns to help us make a trade decision. For example, suppose you find that LS Materials 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 |
LS Materials 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 LS Materials stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if LS Materials stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in LS Materials stock over time.
Current vs Lagged Prices |
| Timeline |
LS Materials Lagged Returns
When evaluating LS Materials' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of LS Materials stock have on its future price. LS Materials 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, LS Materials autocorrelation shows the relationship between LS Materials stock current value and its past values and can show if there is a momentum factor associated with investing in LS Materials.
Regressed Prices |
| Timeline |
Pair Trading with LS Materials
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 LS Materials 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 LS Materials will appreciate offsetting losses from the drop in the long position's value.Moving together with 417200 Stock
Moving against 417200 Stock
The ability to find closely correlated positions to LS Materials could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace LS Materials 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 LS Materials - 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 LS Materials to buy it.
The correlation of LS Materials 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 LS Materials moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if LS Materials 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 LS Materials 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.