GS Engineering (Korea) Market Value
006360 Stock | 17,950 170.00 0.96% |
Symbol | 006360 |
GS Engineering '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 GS Engineering'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 GS Engineering.
12/18/2024 |
| 03/18/2025 |
If you would invest 0.00 in GS Engineering on December 18, 2024 and sell it all today you would earn a total of 0.00 from holding GS Engineering Construction or generate 0.0% return on investment in GS Engineering over 90 days. GS Engineering is related to or competes with A Tech, Samyung Trading, Hwangkum Steel, EBEST Investment, Spolytech, and Ewon Comfortech. More
GS Engineering 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 GS Engineering'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 GS Engineering Construction upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | (0.01) | |||
Maximum Drawdown | 12.17 | |||
Value At Risk | (3.99) | |||
Potential Upside | 4.24 |
GS Engineering Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for GS Engineering's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as GS Engineering's standard deviation. In reality, there are many statistical measures that can use GS Engineering historical prices to predict the future GS Engineering's volatility.Risk Adjusted Performance | (0.04) | |||
Jensen Alpha | (0.08) | |||
Total Risk Alpha | 0.1763 | |||
Treynor Ratio | (0.27) |
GS Engineering Const Backtested Returns
At this point, GS Engineering is very steady. GS Engineering Const retains Efficiency (Sharpe Ratio) of close to zero, which attests that the entity had a close to zero % return per unit of price deviation over the last 3 months. We have found twenty-three technical indicators for GS Engineering, which you can use to evaluate the volatility of the firm. Please check out GS Engineering's Market Risk Adjusted Performance of (0.26), information ratio of (0.01), and Coefficient Of Variation of (1,972) to validate if the risk estimate we provide is consistent with the expected return of 0.0044%. The company owns a Beta (Systematic Risk) of 0.51, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, GS Engineering's returns are expected to increase less than the market. However, during the bear market, the loss of holding GS Engineering is expected to be smaller as well. GS Engineering Const today owns a risk of 2.2%. Please check out GS Engineering Construction coefficient of variation, jensen alpha, and the relationship between the mean deviation and standard deviation , to decide if GS Engineering Construction will be following its current price history.
Auto-correlation | -0.07 |
Very weak reverse predictability
GS Engineering Construction has very weak reverse predictability. Overlapping area represents the amount of predictability between GS Engineering time series from 18th of December 2024 to 1st of February 2025 and 1st of February 2025 to 18th 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 GS Engineering Const price movement. The serial correlation of -0.07 indicates that barely 7.0% of current GS Engineering price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.07 | |
Spearman Rank Test | -0.36 | |
Residual Average | 0.0 | |
Price Variance | 409.2 K |
GS Engineering Const lagged returns against current returns
Autocorrelation, which is GS Engineering 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 GS Engineering's stock expected returns. We can calculate the autocorrelation of GS Engineering returns to help us make a trade decision. For example, suppose you find that GS Engineering 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 |
GS Engineering 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 GS Engineering stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if GS Engineering stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in GS Engineering stock over time.
Current vs Lagged Prices |
Timeline |
GS Engineering Lagged Returns
When evaluating GS Engineering's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of GS Engineering stock have on its future price. GS Engineering 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, GS Engineering autocorrelation shows the relationship between GS Engineering stock current value and its past values and can show if there is a momentum factor associated with investing in GS Engineering Construction.
Regressed Prices |
Timeline |
Pair Trading with GS Engineering
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 GS Engineering 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 GS Engineering will appreciate offsetting losses from the drop in the long position's value.Moving against 006360 Stock
0.38 | 215480 | Daewoo SBI SPAC | PairCorr |
0.38 | 095190 | ENERGYMACHINERY KOREA | PairCorr |
0.35 | 064820 | Cape Industries | PairCorr |
The ability to find closely correlated positions to GS Engineering could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace GS Engineering 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 GS Engineering - 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 GS Engineering Construction to buy it.
The correlation of GS Engineering 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 GS Engineering moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if GS Engineering Const 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 GS Engineering 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 006360 Stock
GS Engineering financial ratios help investors to determine whether 006360 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 006360 with respect to the benefits of owning GS Engineering security.