Snet Systems (Korea) Market Value
| 038680 Stock | KRW 4,140 125.00 2.93% |
| Symbol | Snet |
Snet Systems '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 Snet Systems' 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 Snet Systems.
| 11/22/2024 |
| 12/22/2024 |
If you would invest 0.00 in Snet Systems on November 22, 2024 and sell it all today you would earn a total of 0.00 from holding Snet systems or generate 0.0% return on investment in Snet Systems over 30 days. Snet Systems is related to or competes with Samsung Electronics, Samsung Electronics, LG Energy, SK Hynix, Samsung Biologics, LG Chem, and LG Chemicals. SNet Systems Inc. operates as a specialized ICT company. More
Snet Systems 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 Snet Systems' 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 Snet systems upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.14 | |||
| Information Ratio | 0.0338 | |||
| Maximum Drawdown | 18.91 | |||
| Value At Risk | (3.19) | |||
| Potential Upside | 5.01 |
Snet Systems Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Snet Systems' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Snet Systems' standard deviation. In reality, there are many statistical measures that can use Snet Systems historical prices to predict the future Snet Systems' volatility.| Risk Adjusted Performance | 0.0429 | |||
| Jensen Alpha | 0.1188 | |||
| Total Risk Alpha | 0.0391 | |||
| Sortino Ratio | 0.0457 | |||
| Treynor Ratio | 2.3 |
Snet systems Backtested Returns
At this point, Snet Systems is very steady. Snet systems owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0427, which indicates the firm had a 0.0427% return per unit of risk over the last 3 months. We have found thirty technical indicators for Snet systems, which you can use to evaluate the volatility of the company. Please validate Snet Systems' Coefficient Of Variation of 2222.87, semi deviation of 1.86, and Risk Adjusted Performance of 0.0429 to confirm if the risk estimate we provide is consistent with the expected return of 0.13%. Snet Systems has a performance score of 3 on a scale of 0 to 100. The entity has a beta of 0.0521, which indicates not very significant fluctuations relative to the market. As returns on the market increase, Snet Systems' returns are expected to increase less than the market. However, during the bear market, the loss of holding Snet Systems is expected to be smaller as well. Snet systems right now has a risk of 2.94%. Please validate Snet Systems downside deviation, standard deviation, and the relationship between the semi deviation and coefficient of variation , to decide if Snet Systems will be following its existing price patterns.
Auto-correlation | 0.06 |
Virtually no predictability
Snet systems has virtually no predictability. Overlapping area represents the amount of predictability between Snet Systems time series from 22nd of November 2024 to 7th of December 2024 and 7th of December 2024 to 22nd 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 Snet systems price movement. The serial correlation of 0.06 indicates that barely 6.0% of current Snet Systems price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.06 | |
| Spearman Rank Test | -0.55 | |
| Residual Average | 0.0 | |
| Price Variance | 9021.9 |
Snet systems lagged returns against current returns
Autocorrelation, which is Snet Systems 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 Snet Systems' stock expected returns. We can calculate the autocorrelation of Snet Systems returns to help us make a trade decision. For example, suppose you find that Snet Systems 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 |
Snet Systems 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 Snet Systems stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Snet Systems stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Snet Systems stock over time.
Current vs Lagged Prices |
| Timeline |
Snet Systems Lagged Returns
When evaluating Snet Systems' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Snet Systems stock have on its future price. Snet Systems 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, Snet Systems autocorrelation shows the relationship between Snet Systems stock current value and its past values and can show if there is a momentum factor associated with investing in Snet systems.
Regressed Prices |
| Timeline |
Pair Trading with Snet Systems
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 Snet Systems 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 Snet Systems will appreciate offsetting losses from the drop in the long position's value.Moving against Snet Stock
| 0.49 | 000660 | SK Hynix | PairCorr |
| 0.48 | 051915 | LG Chem | PairCorr |
| 0.46 | 053080 | Wonbang Tech | PairCorr |
| 0.43 | 051910 | LG Chemicals | PairCorr |
| 0.41 | 373220 | LG Energy Solution | PairCorr |
The ability to find closely correlated positions to Snet Systems could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Snet Systems 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 Snet Systems - 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 Snet systems to buy it.
The correlation of Snet Systems 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 Snet Systems moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Snet systems 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 Snet Systems 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 Snet Stock
Snet Systems financial ratios help investors to determine whether Snet 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 Snet with respect to the benefits of owning Snet Systems security.