Silla Sg (Korea) Market Value
| 025870 Stock | KRW 5,970 60.00 1.00% |
| Symbol | Silla |
Silla Sg '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 Silla Sg'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 Silla Sg.
| 01/01/2025 |
| 03/02/2025 |
If you would invest 0.00 in Silla Sg on January 1, 2025 and sell it all today you would earn a total of 0.00 from holding Silla Sg Co or generate 0.0% return on investment in Silla Sg over 60 days. Silla Sg is related to or competes with KB Financial, Shinhan Financial, Hyundai, Hyundai, Hyundai, Woori Financial, and SK Holdings. SILLA SG Co., Ltd. manufactures and sells seafood in South Korea More
Silla Sg 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 Silla Sg'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 Silla Sg Co upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 3.83 | |||
| Information Ratio | 0.0369 | |||
| Maximum Drawdown | 31.31 | |||
| Value At Risk | (6.42) | |||
| Potential Upside | 3.92 |
Silla Sg Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Silla Sg's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Silla Sg's standard deviation. In reality, there are many statistical measures that can use Silla Sg historical prices to predict the future Silla Sg's volatility.| Risk Adjusted Performance | 0.0333 | |||
| Jensen Alpha | 0.126 | |||
| Total Risk Alpha | 0.2762 | |||
| Sortino Ratio | 0.0423 | |||
| Treynor Ratio | (0.24) |
Silla Sg Backtested Returns
At this point, Silla Sg is very steady. Silla Sg owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0238, which indicates the firm had a 0.0238 % return per unit of risk over the last 3 months. We have found thirty technical indicators for Silla Sg Co, which you can use to evaluate the volatility of the company. Please validate Silla Sg's Coefficient Of Variation of 2944.74, semi deviation of 3.38, and Risk Adjusted Performance of 0.0333 to confirm if the risk estimate we provide is consistent with the expected return of 0.11%. Silla Sg has a performance score of 1 on a scale of 0 to 100. The entity has a beta of -0.57, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Silla Sg are expected to decrease at a much lower rate. During the bear market, Silla Sg is likely to outperform the market. Silla Sg right now has a risk of 4.61%. Please validate Silla Sg semi deviation, coefficient of variation, jensen alpha, as well as the relationship between the downside deviation and standard deviation , to decide if Silla Sg will be following its existing price patterns.
Auto-correlation | -0.28 |
Weak reverse predictability
Silla Sg Co has weak reverse predictability. Overlapping area represents the amount of predictability between Silla Sg time series from 1st of January 2025 to 31st of January 2025 and 31st of January 2025 to 2nd 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 Silla Sg price movement. The serial correlation of -0.28 indicates that nearly 28.0% of current Silla Sg price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.28 | |
| Spearman Rank Test | -0.37 | |
| Residual Average | 0.0 | |
| Price Variance | 3332.1 |
Silla Sg lagged returns against current returns
Autocorrelation, which is Silla Sg 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 Silla Sg's stock expected returns. We can calculate the autocorrelation of Silla Sg returns to help us make a trade decision. For example, suppose you find that Silla Sg 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 |
Silla Sg 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 Silla Sg stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Silla Sg stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Silla Sg stock over time.
Current vs Lagged Prices |
| Timeline |
Silla Sg Lagged Returns
When evaluating Silla Sg's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Silla Sg stock have on its future price. Silla Sg 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, Silla Sg autocorrelation shows the relationship between Silla Sg stock current value and its past values and can show if there is a momentum factor associated with investing in Silla Sg Co.
Regressed Prices |
| Timeline |
Pair Trading with Silla Sg
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 Silla Sg 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 Silla Sg will appreciate offsetting losses from the drop in the long position's value.Moving against Silla Stock
The ability to find closely correlated positions to Silla Sg could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Silla Sg 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 Silla Sg - 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 Silla Sg Co to buy it.
The correlation of Silla Sg 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 Silla Sg moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Silla Sg 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 Silla Sg 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 Silla Stock
Silla Sg financial ratios help investors to determine whether Silla 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 Silla with respect to the benefits of owning Silla Sg security.