SKC Co (Korea) Market Value
011790 Stock | 136,500 6,000 4.60% |
Symbol | SKC |
SKC Co '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 SKC Co'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 SKC Co.
12/17/2024 |
| 03/17/2025 |
If you would invest 0.00 in SKC Co on December 17, 2024 and sell it all today you would earn a total of 0.00 from holding SKC Co or generate 0.0% return on investment in SKC Co over 90 days. SKC Co is related to or competes with Daiyang Metal, Iljin Display, Playgram, Seoul Electronics, Sejong Telecom, Digital Power, and Ssangyong Information. More
SKC Co 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 SKC Co'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 SKC Co upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 3.79 | |||
Information Ratio | 0.1302 | |||
Maximum Drawdown | 27.89 | |||
Value At Risk | (5.37) | |||
Potential Upside | 9.4 |
SKC Co Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SKC Co's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SKC Co's standard deviation. In reality, there are many statistical measures that can use SKC Co historical prices to predict the future SKC Co's volatility.Risk Adjusted Performance | 0.104 | |||
Jensen Alpha | 0.6449 | |||
Total Risk Alpha | 1.15 | |||
Sortino Ratio | 0.1686 | |||
Treynor Ratio | 0.5058 |
SKC Co Backtested Returns
SKC Co appears to be very steady, given 3 months investment horizon. SKC Co retains Efficiency (Sharpe Ratio) of 0.11, which indicates the firm had a 0.11 % return per unit of volatility over the last 3 months. By inspecting SKC Co's technical indicators, you can evaluate if the expected return of 0.51% is justified by implied risk. Please review SKC Co's risk adjusted performance of 0.104, and Downside Deviation of 3.79 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, SKC Co holds a performance score of 8. The entity owns a Beta (Systematic Risk) of 1.05, which indicates a somewhat significant risk relative to the market. SKC Co returns are very sensitive to returns on the market. As the market goes up or down, SKC Co is expected to follow. Please check SKC Co's downside deviation, standard deviation, and the relationship between the semi deviation and coefficient of variation , to make a quick decision on whether SKC Co's current price history will revert.
Auto-correlation | -0.85 |
Excellent reverse predictability
SKC Co has excellent reverse predictability. Overlapping area represents the amount of predictability between SKC Co 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 SKC Co price movement. The serial correlation of -0.85 indicates that around 85.0% of current SKC Co price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.85 | |
Spearman Rank Test | -0.63 | |
Residual Average | 0.0 | |
Price Variance | 153.9 M |
SKC Co lagged returns against current returns
Autocorrelation, which is SKC Co 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 SKC Co's stock expected returns. We can calculate the autocorrelation of SKC Co returns to help us make a trade decision. For example, suppose you find that SKC Co 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 |
SKC Co 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 SKC Co stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SKC Co stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SKC Co stock over time.
Current vs Lagged Prices |
Timeline |
SKC Co Lagged Returns
When evaluating SKC Co's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SKC Co stock have on its future price. SKC Co 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, SKC Co autocorrelation shows the relationship between SKC Co stock current value and its past values and can show if there is a momentum factor associated with investing in SKC Co.
Regressed Prices |
Timeline |
Pair Trading with SKC Co
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 SKC Co 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 SKC Co will appreciate offsetting losses from the drop in the long position's value.Moving together with SKC Stock
Moving against SKC Stock
0.61 | 051910 | LG Chemicals | PairCorr |
0.6 | 001430 | SeAH Bestee | PairCorr |
0.45 | 045340 | Total Soft Bank | PairCorr |
0.42 | 086520 | Ecopro Split | PairCorr |
0.41 | 241840 | ASTORY CoLtd | PairCorr |
The ability to find closely correlated positions to SKC Co could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace SKC Co 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 SKC Co - 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 SKC Co to buy it.
The correlation of SKC Co 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 SKC Co moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if SKC Co 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 SKC Co 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 SKC Stock
SKC Co financial ratios help investors to determine whether SKC 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 SKC with respect to the benefits of owning SKC Co security.