OCI (Korea) Market Value
| 010060 Stock | 79,300 200.00 0.25% |
| Symbol | OCI |
OCI '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 OCI'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 OCI.
| 12/17/2024 |
| 03/17/2025 |
If you would invest 0.00 in OCI on December 17, 2024 and sell it all today you would earn a total of 0.00 from holding OCI Co or generate 0.0% return on investment in OCI over 90 days. OCI is related to or competes with Industrial Bank, Aprogen Healthcare, GAMEVIL, Jb Financial, KakaoBank Corp, Korean Reinsurance, and Incar Financial. More
OCI 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 OCI'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 OCI Co upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.89 | |||
| Information Ratio | 0.1545 | |||
| Maximum Drawdown | 18.52 | |||
| Value At Risk | (4.44) | |||
| Potential Upside | 9.2 |
OCI Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for OCI's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as OCI's standard deviation. In reality, there are many statistical measures that can use OCI historical prices to predict the future OCI's volatility.| Risk Adjusted Performance | 0.121 | |||
| Jensen Alpha | 0.6164 | |||
| Total Risk Alpha | 1.02 | |||
| Sortino Ratio | 0.2163 | |||
| Treynor Ratio | 0.5594 |
OCI Co Backtested Returns
OCI appears to be very steady, given 3 months investment horizon. OCI Co maintains Sharpe Ratio (i.e., Efficiency) of 0.13, which implies the company had a 0.13 % return per unit of volatility over the last 3 months. By evaluating OCI's technical indicators, you can evaluate if the expected return of 0.55% is justified by implied risk. Please evaluate OCI's coefficient of variation of 769.22, and Market Risk Adjusted Performance of 0.5694 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, OCI holds a performance score of 10. The firm holds a Beta of 0.92, which implies possible diversification benefits within a given portfolio. OCI returns are very sensitive to returns on the market. As the market goes up or down, OCI is expected to follow. Please check OCI's semi deviation, coefficient of variation, and the relationship between the mean deviation and downside deviation , to make a quick decision on whether OCI's historical price patterns will revert.
Auto-correlation | 0.15 |
Insignificant predictability
OCI Co has insignificant predictability. Overlapping area represents the amount of predictability between OCI 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 OCI Co price movement. The serial correlation of 0.15 indicates that less than 15.0% of current OCI price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.15 | |
| Spearman Rank Test | 0.23 | |
| Residual Average | 0.0 | |
| Price Variance | 6.7 M |
OCI Co lagged returns against current returns
Autocorrelation, which is OCI 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 OCI's stock expected returns. We can calculate the autocorrelation of OCI returns to help us make a trade decision. For example, suppose you find that OCI 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 |
OCI 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 OCI stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if OCI stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in OCI stock over time.
Current vs Lagged Prices |
| Timeline |
OCI Lagged Returns
When evaluating OCI's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of OCI stock have on its future price. OCI 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, OCI autocorrelation shows the relationship between OCI stock current value and its past values and can show if there is a momentum factor associated with investing in OCI Co.
Regressed Prices |
| Timeline |
Pair Trading with OCI
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 OCI 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 OCI will appreciate offsetting losses from the drop in the long position's value.Moving together with OCI Stock
Moving against OCI Stock
The ability to find closely correlated positions to OCI could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace OCI 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 OCI - 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 OCI Co to buy it.
The correlation of OCI 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 OCI moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if OCI 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 OCI 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 OCI Stock
OCI financial ratios help investors to determine whether OCI 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 OCI with respect to the benefits of owning OCI security.