Hanil Vacuum (Korea) Market Value
| 123840 Stock | KRW 1,669 1.00 0.06% |
| Symbol | Hanil |
Hanil Vacuum '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 Hanil Vacuum'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 Hanil Vacuum.
| 07/02/2024 |
| 12/29/2024 |
If you would invest 0.00 in Hanil Vacuum on July 2, 2024 and sell it all today you would earn a total of 0.00 from holding Hanil Vacuum Co or generate 0.0% return on investment in Hanil Vacuum over 180 days. Hanil Vacuum is related to or competes with Busan Industrial, UNISEM, and Poongsan. Hanil Vacuum Co., Ltd. designs, manufactures, and sells vacuum coating system in Korea, China, the United States, and in... More
Hanil Vacuum 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 Hanil Vacuum'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 Hanil Vacuum Co upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.1) | |||
| Maximum Drawdown | 37.54 | |||
| Value At Risk | (6.48) | |||
| Potential Upside | 3.98 |
Hanil Vacuum Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Hanil Vacuum's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Hanil Vacuum's standard deviation. In reality, there are many statistical measures that can use Hanil Vacuum historical prices to predict the future Hanil Vacuum's volatility.| Risk Adjusted Performance | (0.06) | |||
| Jensen Alpha | (0.56) | |||
| Total Risk Alpha | (0.72) | |||
| Treynor Ratio | (12.88) |
Hanil Vacuum Backtested Returns
Hanil Vacuum holds Efficiency (Sharpe) Ratio of -0.0284, which attests that the entity had a -0.0284% return per unit of risk over the last 3 months. Hanil Vacuum exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Hanil Vacuum's Market Risk Adjusted Performance of (12.87), risk adjusted performance of (0.06), and Standard Deviation of 5.95 to validate the risk estimate we provide. The company retains a Market Volatility (i.e., Beta) of 0.0431, which attests to not very significant fluctuations relative to the market. As returns on the market increase, Hanil Vacuum's returns are expected to increase less than the market. However, during the bear market, the loss of holding Hanil Vacuum is expected to be smaller as well. At this point, Hanil Vacuum has a negative expected return of -0.19%. Please make sure to check out Hanil Vacuum's jensen alpha, treynor ratio, and the relationship between the standard deviation and total risk alpha , to decide if Hanil Vacuum performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.71 |
Good predictability
Hanil Vacuum Co has good predictability. Overlapping area represents the amount of predictability between Hanil Vacuum time series from 2nd of July 2024 to 30th of September 2024 and 30th of September 2024 to 29th 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 Hanil Vacuum price movement. The serial correlation of 0.71 indicates that around 71.0% of current Hanil Vacuum price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.71 | |
| Spearman Rank Test | 0.7 | |
| Residual Average | 0.0 | |
| Price Variance | 92 K |
Hanil Vacuum lagged returns against current returns
Autocorrelation, which is Hanil Vacuum 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 Hanil Vacuum's stock expected returns. We can calculate the autocorrelation of Hanil Vacuum returns to help us make a trade decision. For example, suppose you find that Hanil Vacuum 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 |
Hanil Vacuum 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 Hanil Vacuum stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Hanil Vacuum stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Hanil Vacuum stock over time.
Current vs Lagged Prices |
| Timeline |
Hanil Vacuum Lagged Returns
When evaluating Hanil Vacuum's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Hanil Vacuum stock have on its future price. Hanil Vacuum 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, Hanil Vacuum autocorrelation shows the relationship between Hanil Vacuum stock current value and its past values and can show if there is a momentum factor associated with investing in Hanil Vacuum Co.
Regressed Prices |
| Timeline |
Pair Trading with Hanil Vacuum
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 Hanil Vacuum 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 Hanil Vacuum will appreciate offsetting losses from the drop in the long position's value.Moving together with Hanil Stock
| 0.64 | 005930 | Samsung Electronics | PairCorr |
| 0.61 | 005935 | Samsung Electronics | PairCorr |
| 0.67 | 055550 | Shinhan Financial | PairCorr |
Moving against Hanil Stock
| 0.85 | 035420 | Naver | PairCorr |
| 0.75 | 078160 | MEDIPOST | PairCorr |
| 0.66 | 039240 | Gyeongnam Steel | PairCorr |
| 0.63 | 041510 | SM Entertainment | PairCorr |
| 0.34 | 059100 | i Components | PairCorr |
The ability to find closely correlated positions to Hanil Vacuum could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Hanil Vacuum 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 Hanil Vacuum - 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 Hanil Vacuum Co to buy it.
The correlation of Hanil Vacuum 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 Hanil Vacuum moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Hanil Vacuum 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 Hanil Vacuum 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 Hanil Stock
Hanil Vacuum financial ratios help investors to determine whether Hanil 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 Hanil with respect to the benefits of owning Hanil Vacuum security.