ICD (Korea) Market Value
| 040910 Stock | KRW 5,100 245.00 5.05% |
| Symbol | ICD |
ICD '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 ICD'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 ICD.
| 10/30/2024 |
| 11/29/2024 |
If you would invest 0.00 in ICD on October 30, 2024 and sell it all today you would earn a total of 0.00 from holding ICD Co or generate 0.0% return on investment in ICD over 30 days. ICD is related to or competes with SFA Engineering, APS Holdings, Soulbrain Holdings, and JUSUNG ENGINEERING. ICD Co., Ltd. produces and sells digital display equipment in South Korea and internationally. More
ICD 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 ICD'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 ICD Co upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.23) | |||
| Maximum Drawdown | 10.22 | |||
| Value At Risk | (4.29) | |||
| Potential Upside | 3.82 |
ICD Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for ICD's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as ICD's standard deviation. In reality, there are many statistical measures that can use ICD historical prices to predict the future ICD's volatility.| Risk Adjusted Performance | (0.13) | |||
| Jensen Alpha | (0.48) | |||
| Total Risk Alpha | (0.85) | |||
| Treynor Ratio | (4.48) |
ICD Co Backtested Returns
ICD Co holds Efficiency (Sharpe) Ratio of -0.14, which attests that the company had a -0.14% return per unit of return volatility over the last 3 months. ICD Co exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out ICD's coefficient of variation of (549.52), and Standard Deviation of 2.53 to validate the risk estimate we provide. The firm retains a Market Volatility (i.e., Beta) of 0.11, which attests to not very significant fluctuations relative to the market. As returns on the market increase, ICD's returns are expected to increase less than the market. However, during the bear market, the loss of holding ICD is expected to be smaller as well. At this point, ICD Co has a negative expected return of -0.34%. Please make sure to check out ICD's mean deviation, standard deviation, total risk alpha, as well as the relationship between the coefficient of variation and jensen alpha , to decide if ICD Co performance from the past will be repeated in the future.
Auto-correlation | -0.56 |
Good reverse predictability
ICD Co has good reverse predictability. Overlapping area represents the amount of predictability between ICD time series from 30th of October 2024 to 14th of November 2024 and 14th of November 2024 to 29th of November 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 ICD Co price movement. The serial correlation of -0.56 indicates that roughly 56.0% of current ICD price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.56 | |
| Spearman Rank Test | -0.41 | |
| Residual Average | 0.0 | |
| Price Variance | 59.1 K |
ICD Co lagged returns against current returns
Autocorrelation, which is ICD 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 ICD's stock expected returns. We can calculate the autocorrelation of ICD returns to help us make a trade decision. For example, suppose you find that ICD 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 |
ICD 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 ICD stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if ICD stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in ICD stock over time.
Current vs Lagged Prices |
| Timeline |
ICD Lagged Returns
When evaluating ICD's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of ICD stock have on its future price. ICD 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, ICD autocorrelation shows the relationship between ICD stock current value and its past values and can show if there is a momentum factor associated with investing in ICD Co.
Regressed Prices |
| Timeline |
Pair Trading with ICD
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 ICD 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 ICD will appreciate offsetting losses from the drop in the long position's value.Moving together with ICD Stock
Moving against ICD Stock
The ability to find closely correlated positions to ICD could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace ICD 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 ICD - 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 ICD Co to buy it.
The correlation of ICD 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 ICD moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if ICD 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 ICD 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 ICD Stock
ICD financial ratios help investors to determine whether ICD 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 ICD with respect to the benefits of owning ICD security.