Hansol Inticube (Korea) Market Value
| 070590 Stock | KRW 1,458 28.00 1.96% |
| Symbol | Hansol |
Hansol Inticube '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 Hansol Inticube'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 Hansol Inticube.
| 02/15/2024 |
| 05/15/2024 |
If you would invest 0.00 in Hansol Inticube on February 15, 2024 and sell it all today you would earn a total of 0.00 from holding Hansol Inticube Co or generate 0.0% return on investment in Hansol Inticube over 90 days. Hansol Inticube is related to or competes with SungMoon Electronics, KPX Green, Sungwoo Electronics, ABCO Electronics, Chin Yang, PJ Electronics, and Lotte Fine. Hansol Inticube Co., Ltd. engages in setting up contact center infrastructure, and developing contact center solutions a... More
Hansol Inticube 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 Hansol Inticube'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 Hansol Inticube Co upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.21) | |||
| Maximum Drawdown | 10.26 | |||
| Value At Risk | (3.22) | |||
| Potential Upside | 2.44 |
Hansol Inticube Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Hansol Inticube's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Hansol Inticube's standard deviation. In reality, there are many statistical measures that can use Hansol Inticube historical prices to predict the future Hansol Inticube's volatility.| Risk Adjusted Performance | (0.09) | |||
| Jensen Alpha | (0.35) | |||
| Total Risk Alpha | (0.55) | |||
| Treynor Ratio | (0.54) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Hansol Inticube'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.
Hansol Inticube Backtested Returns
Hansol Inticube holds Efficiency (Sharpe) Ratio of -0.16, which attests that the entity had a -0.16% return per unit of risk over the last 3 months. Hansol Inticube exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Hansol Inticube's Standard Deviation of 1.87, risk adjusted performance of (0.09), and Market Risk Adjusted Performance of (0.53) to validate the risk estimate we provide. The company retains a Market Volatility (i.e., Beta) of 0.57, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, Hansol Inticube's returns are expected to increase less than the market. However, during the bear market, the loss of holding Hansol Inticube is expected to be smaller as well. Hansol Inticube has an expected return of -0.3%. Please make sure to check out Hansol Inticube coefficient of variation, jensen alpha, treynor ratio, as well as the relationship between the standard deviation and total risk alpha , to decide if Hansol Inticube performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.86 |
Very good predictability
Hansol Inticube Co has very good predictability. Overlapping area represents the amount of predictability between Hansol Inticube time series from 15th of February 2024 to 31st of March 2024 and 31st of March 2024 to 15th of May 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 Hansol Inticube price movement. The serial correlation of 0.86 indicates that approximately 86.0% of current Hansol Inticube price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.86 | |
| Spearman Rank Test | 0.77 | |
| Residual Average | 0.0 | |
| Price Variance | 7736.49 |
Hansol Inticube lagged returns against current returns
Autocorrelation, which is Hansol Inticube 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 Hansol Inticube's stock expected returns. We can calculate the autocorrelation of Hansol Inticube returns to help us make a trade decision. For example, suppose you find that Hansol Inticube 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 |
Hansol Inticube 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 Hansol Inticube stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Hansol Inticube stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Hansol Inticube stock over time.
Current vs Lagged Prices |
| Timeline |
Hansol Inticube Lagged Returns
When evaluating Hansol Inticube's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Hansol Inticube stock have on its future price. Hansol Inticube 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, Hansol Inticube autocorrelation shows the relationship between Hansol Inticube stock current value and its past values and can show if there is a momentum factor associated with investing in Hansol Inticube Co.
Regressed Prices |
| Timeline |
Thematic Opportunities
Explore Investment Opportunities
Check out Hansol Inticube Correlation, Hansol Inticube Volatility and Hansol Inticube Alpha and Beta module to complement your research on Hansol Inticube. Note that the Hansol Inticube information on this page should be used as a complementary analysis to other Hansol Inticube's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Global Correlations module to find global opportunities by holding instruments from different markets.
Complementary Tools for Hansol Stock analysis
When running Hansol Inticube's price analysis, check to measure Hansol Inticube's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Hansol Inticube is operating at the current time. Most of Hansol Inticube's value examination focuses on studying past and present price action to predict the probability of Hansol Inticube's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Hansol Inticube's price. Additionally, you may evaluate how the addition of Hansol Inticube to your portfolios can decrease your overall portfolio volatility.
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Hansol Inticube technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.