SSR (Korea) Market Value
| 275630 Stock | KRW 3,370 15.00 0.44% |
| Symbol | SSR |
SSR '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 SSR'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 SSR.
| 12/10/2023 |
| 12/04/2024 |
If you would invest 0.00 in SSR on December 10, 2023 and sell it all today you would earn a total of 0.00 from holding SSR Inc or generate 0.0% return on investment in SSR over 360 days. SSR is related to or competes with Haesung Industrial, Taeyang Metal, Daiyang Metal, Iljin Display, Samhwa Paint, and Seoyon Topmetal. SSR Inc. provides integrated information security consulting, and IT solution development and maintenance services for p... More
SSR 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 SSR'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 SSR Inc upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.14) | |||
| Maximum Drawdown | 8.14 | |||
| Value At Risk | (2.45) | |||
| Potential Upside | 1.71 |
SSR Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SSR's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SSR's standard deviation. In reality, there are many statistical measures that can use SSR historical prices to predict the future SSR's volatility.| Risk Adjusted Performance | (0.04) | |||
| Jensen Alpha | (0.12) | |||
| Total Risk Alpha | (0.27) | |||
| Treynor Ratio | (0.34) |
SSR Inc Backtested Returns
SSR Inc owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.1, which indicates the firm had a -0.1% return per unit of standard deviation over the last 3 months. SSR Inc exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate SSR's risk adjusted performance of (0.04), and Variance of 1.76 to confirm the risk estimate we provide. The entity has a beta of 0.26, which indicates not very significant fluctuations relative to the market. As returns on the market increase, SSR's returns are expected to increase less than the market. However, during the bear market, the loss of holding SSR is expected to be smaller as well. At this point, SSR Inc has a negative expected return of -0.13%. Please make sure to validate SSR's jensen alpha, treynor ratio, value at risk, as well as the relationship between the total risk alpha and maximum drawdown , to decide if SSR Inc performance from the past will be repeated at some future point.
Auto-correlation | 0.48 |
Average predictability
SSR Inc has average predictability. Overlapping area represents the amount of predictability between SSR time series from 10th of December 2023 to 7th of June 2024 and 7th of June 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 SSR Inc price movement. The serial correlation of 0.48 indicates that about 48.0% of current SSR price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.48 | |
| Spearman Rank Test | 0.55 | |
| Residual Average | 0.0 | |
| Price Variance | 19.2 K |
SSR Inc lagged returns against current returns
Autocorrelation, which is SSR 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 SSR's stock expected returns. We can calculate the autocorrelation of SSR returns to help us make a trade decision. For example, suppose you find that SSR 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 |
SSR 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 SSR stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SSR stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SSR stock over time.
Current vs Lagged Prices |
| Timeline |
SSR Lagged Returns
When evaluating SSR's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SSR stock have on its future price. SSR 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, SSR autocorrelation shows the relationship between SSR stock current value and its past values and can show if there is a momentum factor associated with investing in SSR Inc.
Regressed Prices |
| Timeline |
Pair Trading with SSR
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 SSR 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 SSR will appreciate offsetting losses from the drop in the long position's value.Moving together with SSR Stock
Moving against SSR Stock
| 0.45 | 024110 | Industrial Bank | PairCorr |
| 0.43 | 105560 | KB Financial Group | PairCorr |
| 0.42 | 115500 | Korea Computer Systems | PairCorr |
| 0.36 | 032830 | Samsung Life | PairCorr |
The ability to find closely correlated positions to SSR could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace SSR 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 SSR - 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 SSR Inc to buy it.
The correlation of SSR 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 SSR moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if SSR Inc 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 SSR 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 SSR Stock
SSR financial ratios help investors to determine whether SSR 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 SSR with respect to the benefits of owning SSR security.