LIG ES (Korea) Market Value
| 220260 Stock | KRW 3,640 35.00 0.97% |
| Symbol | LIG |
LIG ES '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 LIG ES'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 LIG ES.
| 09/23/2024 |
| 11/22/2024 |
If you would invest 0.00 in LIG ES on September 23, 2024 and sell it all today you would earn a total of 0.00 from holding LIG ES SPAC or generate 0.0% return on investment in LIG ES over 60 days. LIG ES is related to or competes with Ni Steel, SBI Investment, DB Financial, Lindeman Asia, Gyeongnam Steel, Handok Clean, and Stic Investments. Chemtros Co., Ltd. engages in the manufacture and sale of chemical intermediates, and applied materials and adhesives in... More
LIG ES 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 LIG ES'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 LIG ES SPAC upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.27) | |||
| Maximum Drawdown | 12.19 | |||
| Value At Risk | (5.24) | |||
| Potential Upside | 3.76 |
LIG ES Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for LIG ES's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as LIG ES's standard deviation. In reality, there are many statistical measures that can use LIG ES historical prices to predict the future LIG ES's volatility.| Risk Adjusted Performance | (0.16) | |||
| Jensen Alpha | (0.58) | |||
| Total Risk Alpha | (0.96) | |||
| Treynor Ratio | 1.77 |
LIG ES SPAC Backtested Returns
LIG ES SPAC has Sharpe Ratio of -0.28, which conveys that the firm had a -0.28% return per unit of risk over the last 3 months. LIG ES exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please verify LIG ES's risk adjusted performance of (0.16), and Mean Deviation of 2.05 to check out the risk estimate we provide. The company secures a Beta (Market Risk) of -0.34, which conveys possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning LIG ES are expected to decrease at a much lower rate. During the bear market, LIG ES is likely to outperform the market. At this point, LIG ES SPAC has a negative expected return of -0.71%. Please make sure to verify LIG ES's coefficient of variation, jensen alpha, and the relationship between the mean deviation and standard deviation , to decide if LIG ES SPAC performance from the past will be repeated in the future.
Auto-correlation | 0.89 |
Very good predictability
LIG ES SPAC has very good predictability. Overlapping area represents the amount of predictability between LIG ES time series from 23rd of September 2024 to 23rd of October 2024 and 23rd of October 2024 to 22nd 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 LIG ES SPAC price movement. The serial correlation of 0.89 indicates that approximately 89.0% of current LIG ES price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.89 | |
| Spearman Rank Test | 0.74 | |
| Residual Average | 0.0 | |
| Price Variance | 199.9 K |
LIG ES SPAC lagged returns against current returns
Autocorrelation, which is LIG ES 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 LIG ES's stock expected returns. We can calculate the autocorrelation of LIG ES returns to help us make a trade decision. For example, suppose you find that LIG ES 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 |
LIG ES 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 LIG ES stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if LIG ES stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in LIG ES stock over time.
Current vs Lagged Prices |
| Timeline |
LIG ES Lagged Returns
When evaluating LIG ES's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of LIG ES stock have on its future price. LIG ES 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, LIG ES autocorrelation shows the relationship between LIG ES stock current value and its past values and can show if there is a momentum factor associated with investing in LIG ES SPAC.
Regressed Prices |
| Timeline |
Pair Trading with LIG ES
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 LIG ES 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 LIG ES will appreciate offsetting losses from the drop in the long position's value.Moving together with LIG Stock
| 0.92 | 278280 | Chunbo | PairCorr |
| 0.87 | 213420 | DukSan Neolux CoLtd | PairCorr |
| 0.97 | 298000 | Hyosung Chemical Corp | PairCorr |
Moving against LIG Stock
The ability to find closely correlated positions to LIG ES could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace LIG ES 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 LIG ES - 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 LIG ES SPAC to buy it.
The correlation of LIG ES 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 LIG ES moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if LIG ES SPAC 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 LIG ES 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 LIG Stock
LIG ES financial ratios help investors to determine whether LIG 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 LIG with respect to the benefits of owning LIG ES security.