SS TECH (Korea) Market Value
| 101490 Stock | KRW 57,400 18,700 48.32% |
| Symbol | 101490 |
SS TECH '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 SS TECH'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 SS TECH.
| 04/17/2024 |
| 06/16/2024 |
If you would invest 0.00 in SS TECH on April 17, 2024 and sell it all today you would earn a total of 0.00 from holding SS TECH or generate 0.0% return on investment in SS TECH over 60 days. SS TECH is related to or competes with Busan Industrial, Finebesteel, Shinhan Inverse, Fine Besteel, ISU Chemical, Daou Technology, and Hanwha Aerospace. SS TECH Corporationration manufactures and sells small and large blank masks for semiconductors, TFTLCDs, color filters, etc. More
SS TECH 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 SS TECH'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 SS TECH upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 3.6 | |||
| Information Ratio | 0.0945 | |||
| Maximum Drawdown | 21.71 | |||
| Value At Risk | (5.15) | |||
| Potential Upside | 5.74 |
SS TECH Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SS TECH's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SS TECH's standard deviation. In reality, there are many statistical measures that can use SS TECH historical prices to predict the future SS TECH's volatility.| Risk Adjusted Performance | 0.0811 | |||
| Jensen Alpha | 0.3906 | |||
| Total Risk Alpha | 0.2216 | |||
| Sortino Ratio | 0.0978 | |||
| Treynor Ratio | (1.25) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of SS TECH's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
SS TECH Backtested Returns
SS TECH appears to be very steady, given 3 months investment horizon. SS TECH retains Efficiency (Sharpe Ratio) of 0.0981, which indicates the firm had a 0.0981% return per unit of price deviation over the last 3 months. By analyzing SS TECH's technical indicators, you can evaluate if the expected return of 0.73% is justified by implied risk. Please review SS TECH's Downside Deviation of 3.6, risk adjusted performance of 0.0811, and Mean Deviation of 2.53 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, SS TECH holds a performance score of 7. The entity owns a Beta (Systematic Risk) of -0.3, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning SS TECH are expected to decrease at a much lower rate. During the bear market, SS TECH is likely to outperform the market. Please check SS TECH's market risk adjusted performance, semi deviation, coefficient of variation, as well as the relationship between the mean deviation and downside deviation , to make a quick decision on whether SS TECH's current price history will revert.
Auto-correlation | 0.02 |
Virtually no predictability
SS TECH has virtually no predictability. Overlapping area represents the amount of predictability between SS TECH time series from 17th of April 2024 to 17th of May 2024 and 17th of May 2024 to 16th of June 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 SS TECH price movement. The serial correlation of 0.02 indicates that only 2.0% of current SS TECH price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.02 | |
| Spearman Rank Test | 0.08 | |
| Residual Average | 0.0 | |
| Price Variance | 16.4 M |
SS TECH lagged returns against current returns
Autocorrelation, which is SS TECH 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 SS TECH's stock expected returns. We can calculate the autocorrelation of SS TECH returns to help us make a trade decision. For example, suppose you find that SS TECH 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 |
SS TECH 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 SS TECH stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SS TECH stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SS TECH stock over time.
Current vs Lagged Prices |
| Timeline |
SS TECH Lagged Returns
When evaluating SS TECH's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SS TECH stock have on its future price. SS TECH 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, SS TECH autocorrelation shows the relationship between SS TECH stock current value and its past values and can show if there is a momentum factor associated with investing in SS TECH.
Regressed Prices |
| Timeline |
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SS TECH financial ratios help investors to determine whether 101490 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 101490 with respect to the benefits of owning SS TECH security.