Ssangyong Materials (Korea) Market Value
| 047400 Stock | 2,455 105.00 4.47% |
| Symbol | Ssangyong |
Ssangyong Materials '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 Ssangyong Materials' 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 Ssangyong Materials.
| 10/28/2024 |
| 11/27/2024 |
If you would invest 0.00 in Ssangyong Materials on October 28, 2024 and sell it all today you would earn a total of 0.00 from holding Ssangyong Materials Corp or generate 0.0% return on investment in Ssangyong Materials over 30 days. Ssangyong Materials is related to or competes with AptaBio Therapeutics, Daewoo SBI, Dream Security, Microfriend, Innometry, and Jahwa Electron. More
Ssangyong Materials 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 Ssangyong Materials' 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 Ssangyong Materials Corp upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.77 | |||
| Information Ratio | (0.03) | |||
| Maximum Drawdown | 17.18 | |||
| Value At Risk | (3.62) | |||
| Potential Upside | 4.6 |
Ssangyong Materials Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Ssangyong Materials' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Ssangyong Materials' standard deviation. In reality, there are many statistical measures that can use Ssangyong Materials historical prices to predict the future Ssangyong Materials' volatility.| Risk Adjusted Performance | 0.0238 | |||
| Jensen Alpha | (0.05) | |||
| Total Risk Alpha | (0.38) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | 0.0599 |
Ssangyong Materials Corp Backtested Returns
Ssangyong Materials appears to be very steady, given 3 months investment horizon. Ssangyong Materials Corp owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0927, which indicates the firm had a 0.0927% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Ssangyong Materials Corp, which you can use to evaluate the volatility of the company. Please review Ssangyong Materials' Risk Adjusted Performance of 0.0238, coefficient of variation of 4595.92, and Semi Deviation of 2.67 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Ssangyong Materials holds a performance score of 7. The entity has a beta of 0.83, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, Ssangyong Materials' returns are expected to increase less than the market. However, during the bear market, the loss of holding Ssangyong Materials is expected to be smaller as well. Please check Ssangyong Materials' semi deviation, coefficient of variation, and the relationship between the mean deviation and downside deviation , to make a quick decision on whether Ssangyong Materials' existing price patterns will revert.
Auto-correlation | -0.8 |
Almost perfect reverse predictability
Ssangyong Materials Corp has almost perfect reverse predictability. Overlapping area represents the amount of predictability between Ssangyong Materials time series from 28th of October 2024 to 12th of November 2024 and 12th of November 2024 to 27th 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 Ssangyong Materials Corp price movement. The serial correlation of -0.8 indicates that around 80.0% of current Ssangyong Materials price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.8 | |
| Spearman Rank Test | -0.52 | |
| Residual Average | 0.0 | |
| Price Variance | 5721.9 |
Ssangyong Materials Corp lagged returns against current returns
Autocorrelation, which is Ssangyong Materials 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 Ssangyong Materials' stock expected returns. We can calculate the autocorrelation of Ssangyong Materials returns to help us make a trade decision. For example, suppose you find that Ssangyong Materials 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 |
Ssangyong Materials 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 Ssangyong Materials stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Ssangyong Materials stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Ssangyong Materials stock over time.
Current vs Lagged Prices |
| Timeline |
Ssangyong Materials Lagged Returns
When evaluating Ssangyong Materials' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Ssangyong Materials stock have on its future price. Ssangyong Materials 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, Ssangyong Materials autocorrelation shows the relationship between Ssangyong Materials stock current value and its past values and can show if there is a momentum factor associated with investing in Ssangyong Materials Corp.
Regressed Prices |
| Timeline |
Pair Trading with Ssangyong Materials
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 Ssangyong Materials 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 Ssangyong Materials will appreciate offsetting losses from the drop in the long position's value.Moving against Ssangyong Stock
The ability to find closely correlated positions to Ssangyong Materials could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Ssangyong Materials 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 Ssangyong Materials - 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 Ssangyong Materials Corp to buy it.
The correlation of Ssangyong Materials 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 Ssangyong Materials moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Ssangyong Materials Corp 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 Ssangyong Materials 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 Ssangyong Stock
Ssangyong Materials financial ratios help investors to determine whether Ssangyong 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 Ssangyong with respect to the benefits of owning Ssangyong Materials security.