I-Components (Korea) Market Value
| 059100 Stock | KRW 4,705 5.00 0.11% |
| Symbol | I-Components |
I-Components '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 I-Components' 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 I-Components.
| 11/14/2024 |
| 12/14/2024 |
If you would invest 0.00 in I-Components on November 14, 2024 and sell it all today you would earn a total of 0.00 from holding i Components Co or generate 0.0% return on investment in I-Components over 30 days. I-Components is related to or competes with Samsung Electronics, Samsung Electronics, LG Energy, SK Hynix, Samsung Biologics, LG Chem, and LG Chemicals. iComponents Co., Ltd. manufactures and sells optical plastic films and substrates in South Korea. More
I-Components 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 I-Components' 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 i Components Co upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.4 | |||
| Information Ratio | 0.0037 | |||
| Maximum Drawdown | 8.75 | |||
| Value At Risk | (2.42) | |||
| Potential Upside | 3.06 |
I-Components Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for I-Components' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as I-Components' standard deviation. In reality, there are many statistical measures that can use I-Components historical prices to predict the future I-Components' volatility.| Risk Adjusted Performance | 0.0527 | |||
| Jensen Alpha | 0.1081 | |||
| Total Risk Alpha | (0.11) | |||
| Sortino Ratio | 0.0043 | |||
| Treynor Ratio | (0.72) |
i Components Backtested Returns
At this point, I-Components is very steady. i Components retains Efficiency (Sharpe Ratio) of 0.0953, which attests that the company had a 0.0953% return per unit of return volatility over the last 3 months. We have found twenty-nine technical indicators for I-Components, which you can use to evaluate the volatility of the entity. Please check out I-Components' Market Risk Adjusted Performance of (0.71), downside deviation of 1.4, and Standard Deviation of 1.63 to validate if the risk estimate we provide is consistent with the expected return of 0.16%. I-Components has a performance score of 7 on a scale of 0 to 100. The firm owns a Beta (Systematic Risk) of -0.13, which attests to not very significant fluctuations relative to the market. As returns on the market increase, returns on owning I-Components are expected to decrease at a much lower rate. During the bear market, I-Components is likely to outperform the market. i Components today owns a risk of 1.66%. Please check out i Components Co mean deviation, downside deviation, standard deviation, as well as the relationship between the semi deviation and coefficient of variation , to decide if i Components Co will be following its current price history.
Auto-correlation | 0.13 |
Insignificant predictability
i Components Co has insignificant predictability. Overlapping area represents the amount of predictability between I-Components time series from 14th of November 2024 to 29th of November 2024 and 29th of November 2024 to 14th 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 i Components price movement. The serial correlation of 0.13 indicates that less than 13.0% of current I-Components price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.13 | |
| Spearman Rank Test | 0.77 | |
| Residual Average | 0.0 | |
| Price Variance | 99.17 |
i Components lagged returns against current returns
Autocorrelation, which is I-Components 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 I-Components' stock expected returns. We can calculate the autocorrelation of I-Components returns to help us make a trade decision. For example, suppose you find that I-Components 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 |
I-Components 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 I-Components stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if I-Components stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in I-Components stock over time.
Current vs Lagged Prices |
| Timeline |
I-Components Lagged Returns
When evaluating I-Components' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of I-Components stock have on its future price. I-Components 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, I-Components autocorrelation shows the relationship between I-Components stock current value and its past values and can show if there is a momentum factor associated with investing in i Components Co.
Regressed Prices |
| Timeline |
Pair Trading with I-Components
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 I-Components 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 I-Components will appreciate offsetting losses from the drop in the long position's value.Moving against I-Components Stock
| 0.38 | 066570 | LG Electronics | PairCorr |
| 0.35 | 005930 | Samsung Electronics | PairCorr |
| 0.34 | 005935 | Samsung Electronics | PairCorr |
The ability to find closely correlated positions to I-Components could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace I-Components 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 I-Components - 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 i Components Co to buy it.
The correlation of I-Components 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 I-Components moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if i Components 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 I-Components 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 I-Components Stock
I-Components financial ratios help investors to determine whether I-Components 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 I-Components with respect to the benefits of owning I-Components security.