SCI Information (Korea) Market Value
| 036120 Stock | KRW 2,080 40.00 1.96% |
| Symbol | SCI |
SCI Information '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 SCI Information'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 SCI Information.
| 11/04/2024 |
| 12/04/2024 |
If you would invest 0.00 in SCI Information on November 4, 2024 and sell it all today you would earn a total of 0.00 from holding SCI Information Service or generate 0.0% return on investment in SCI Information over 30 days. SCI Information is related to or competes with Dongjin Semichem, AhnLab, Posco ICT, and CJ ENM. SCI Information Service Inc. provides credit research services in South Korea More
SCI Information 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 SCI Information'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 SCI Information Service upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.14) | |||
| Maximum Drawdown | 14.61 | |||
| Value At Risk | (4.04) | |||
| Potential Upside | 3.04 |
SCI Information Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SCI Information's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SCI Information's standard deviation. In reality, there are many statistical measures that can use SCI Information historical prices to predict the future SCI Information's volatility.| Risk Adjusted Performance | (0.07) | |||
| Jensen Alpha | (0.20) | |||
| Total Risk Alpha | (0.58) | |||
| Treynor Ratio | 0.5177 |
SCI Information Service Backtested Returns
SCI Information Service owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.23, which indicates the company had a -0.23% return per unit of volatility over the last 3 months. SCI Information Service exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate SCI Information's Standard Deviation of 2.45, market risk adjusted performance of 0.5277, and Risk Adjusted Performance of (0.07) to confirm the risk estimate we provide. The firm has a beta of -0.48, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning SCI Information are expected to decrease at a much lower rate. During the bear market, SCI Information is likely to outperform the market. At this point, SCI Information Service has a negative expected return of -0.53%. Please make sure to validate SCI Information's market risk adjusted performance, coefficient of variation, jensen alpha, as well as the relationship between the mean deviation and standard deviation , to decide if SCI Information Service performance from the past will be repeated in the future.
Auto-correlation | -0.82 |
Excellent reverse predictability
SCI Information Service has excellent reverse predictability. Overlapping area represents the amount of predictability between SCI Information time series from 4th of November 2024 to 19th of November 2024 and 19th of November 2024 to 4th 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 SCI Information Service price movement. The serial correlation of -0.82 indicates that around 82.0% of current SCI Information price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.82 | |
| Spearman Rank Test | -0.55 | |
| Residual Average | 0.0 | |
| Price Variance | 810.24 |
SCI Information Service lagged returns against current returns
Autocorrelation, which is SCI Information 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 SCI Information's stock expected returns. We can calculate the autocorrelation of SCI Information returns to help us make a trade decision. For example, suppose you find that SCI Information 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 |
SCI Information 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 SCI Information stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SCI Information stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SCI Information stock over time.
Current vs Lagged Prices |
| Timeline |
SCI Information Lagged Returns
When evaluating SCI Information's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SCI Information stock have on its future price. SCI Information 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, SCI Information autocorrelation shows the relationship between SCI Information stock current value and its past values and can show if there is a momentum factor associated with investing in SCI Information Service.
Regressed Prices |
| Timeline |
Pair Trading with SCI Information
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 SCI Information 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 SCI Information will appreciate offsetting losses from the drop in the long position's value.Moving against SCI Stock
| 0.9 | 175330 | Jb Financial | PairCorr |
| 0.65 | 316140 | Woori Financial Group | PairCorr |
| 0.31 | 005945 | Nh Investment And | PairCorr |
The ability to find closely correlated positions to SCI Information could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace SCI Information 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 SCI Information - 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 SCI Information Service to buy it.
The correlation of SCI Information 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 SCI Information moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if SCI Information Service 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 SCI Information 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 SCI Stock
SCI Information financial ratios help investors to determine whether SCI 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 SCI with respect to the benefits of owning SCI Information security.