KCC Engineering (Korea) Market Value
| 021320 Stock | KRW 5,380 10.00 0.19% |
| Symbol | KCC |
KCC 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 KCC 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 KCC Engineering.
| 04/24/2025 |
| 07/23/2025 |
If you would invest 0.00 in KCC Engineering on April 24, 2025 and sell it all today you would earn a total of 0.00 from holding KCC Engineering Construction or generate 0.0% return on investment in KCC Engineering over 90 days. KCC Engineering is related to or competes with Kakao Games, Moadata, Digital Power, Mgame Corp, Mobileleader CoLtd, SCI Information, and Automobile. KCC Engineering Construction Co., Ltd. engages in the construction business in South Korea and internationally. More
KCC 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 KCC 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 KCC Engineering Construction upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.86 | |||
| Information Ratio | 0.0832 | |||
| Maximum Drawdown | 10.74 | |||
| Value At Risk | (2.70) | |||
| Potential Upside | 3.52 |
KCC Engineering Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for KCC Engineering's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as KCC Engineering's standard deviation. In reality, there are many statistical measures that can use KCC Engineering historical prices to predict the future KCC Engineering's volatility.| Risk Adjusted Performance | 0.168 | |||
| Jensen Alpha | 0.334 | |||
| Total Risk Alpha | (0.12) | |||
| Sortino Ratio | 0.0978 | |||
| Treynor Ratio | 1.49 |
KCC Engineering Cons Backtested Returns
KCC Engineering appears to be very steady, given 3 months investment horizon. KCC Engineering Cons retains Efficiency (Sharpe Ratio) of 0.18, which conveys that the company had a 0.18 % return per unit of return volatility over the last 3 months. We have found thirty technical indicators for KCC Engineering, which you can use to evaluate the volatility of the entity. Please exercise KCC Engineering's Market Risk Adjusted Performance of 1.5, downside deviation of 1.86, and Mean Deviation of 1.7 to check out if our risk estimates are consistent with your expectations. On a scale of 0 to 100, KCC Engineering holds a performance score of 14. The firm owns a Beta (Systematic Risk) of 0.26, which conveys not very significant fluctuations relative to the market. As returns on the market increase, KCC Engineering's returns are expected to increase less than the market. However, during the bear market, the loss of holding KCC Engineering is expected to be smaller as well. Please check KCC Engineering's downside deviation, standard deviation, and the relationship between the semi deviation and coefficient of variation , to make a quick decision on whether KCC Engineering's current price history will revert.
Auto-correlation | 0.85 |
Very good predictability
KCC Engineering Construction has very good predictability. Overlapping area represents the amount of predictability between KCC Engineering time series from 24th of April 2025 to 8th of June 2025 and 8th of June 2025 to 23rd of July 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 KCC Engineering Cons price movement. The serial correlation of 0.85 indicates that around 85.0% of current KCC Engineering price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.85 | |
| Spearman Rank Test | 0.76 | |
| Residual Average | 0.0 | |
| Price Variance | 71 K |
KCC Engineering Cons lagged returns against current returns
Autocorrelation, which is KCC 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 KCC Engineering's stock expected returns. We can calculate the autocorrelation of KCC Engineering returns to help us make a trade decision. For example, suppose you find that KCC 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 |
KCC 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 KCC Engineering stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if KCC Engineering stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in KCC Engineering stock over time.
Current vs Lagged Prices |
| Timeline |
KCC Engineering Lagged Returns
When evaluating KCC Engineering's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of KCC Engineering stock have on its future price. KCC 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, KCC Engineering autocorrelation shows the relationship between KCC Engineering stock current value and its past values and can show if there is a momentum factor associated with investing in KCC Engineering Construction.
Regressed Prices |
| Timeline |
Pair Trading with KCC 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 KCC 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 KCC Engineering will appreciate offsetting losses from the drop in the long position's value.Moving together with KCC Stock
Moving against KCC Stock
The ability to find closely correlated positions to KCC 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 KCC 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 KCC 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 KCC Engineering Construction to buy it.
The correlation of KCC 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 KCC Engineering moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if KCC Engineering Cons 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 KCC 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 KCC Stock
KCC Engineering financial ratios help investors to determine whether KCC 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 KCC with respect to the benefits of owning KCC Engineering security.