KCC Engineering (Korea) Market Value
| 021320 Stock | KRW 4,135 40.00 0.98% |
| 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.
| 12/29/2022 |
| 12/18/2024 |
If you would invest 0.00 in KCC Engineering on December 29, 2022 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 720 days. KCC Engineering is related to or competes with Dong-A Steel, Shinhan Financial, Tway Air, Hanil Iron, DB Financial, Jeju Air, and Fine Besteel. 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.
| Information Ratio | (0.13) | |||
| Maximum Drawdown | 6.48 | |||
| Value At Risk | (2.20) | |||
| Potential Upside | 2.36 |
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 | (0.05) | |||
| Jensen Alpha | (0.12) | |||
| Total Risk Alpha | (0.21) | |||
| Treynor Ratio | (0.47) |
KCC Engineering Cons Backtested Returns
KCC Engineering Cons retains Efficiency (Sharpe Ratio) of -0.0761, which conveys that the company had a -0.0761% return per unit of return volatility over the last 3 months. KCC Engineering exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please verify KCC Engineering's Mean Deviation of 0.951, standard deviation of 1.28, and Market Risk Adjusted Performance of (0.46) to check out the risk estimate we provide. The firm owns a Beta (Systematic Risk) of 0.23, 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. At this point, KCC Engineering Cons has a negative expected return of -0.0991%. Please make sure to verify KCC Engineering's mean deviation, standard deviation, total risk alpha, as well as the relationship between the coefficient of variation and jensen alpha , to decide if KCC Engineering Cons performance from the past will be repeated in the future.
Auto-correlation | 0.66 |
Good predictability
KCC Engineering Construction has good predictability. Overlapping area represents the amount of predictability between KCC Engineering time series from 29th of December 2022 to 24th of December 2023 and 24th of December 2023 to 18th of December 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 KCC Engineering Cons price movement. The serial correlation of 0.66 indicates that around 66.0% of current KCC Engineering price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.66 | |
| Spearman Rank Test | 0.7 | |
| Residual Average | 0.0 | |
| Price Variance | 68.7 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.