Hugel (Korea) Market Value
| 145020 Stock | KRW 330,000 500.00 0.15% |
| Symbol | Hugel |
Hugel '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 Hugel'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 Hugel.
| 12/16/2024 |
| 03/16/2025 |
If you would invest 0.00 in Hugel on December 16, 2024 and sell it all today you would earn a total of 0.00 from holding Hugel Inc or generate 0.0% return on investment in Hugel over 90 days. Hugel is related to or competes with Shinil Electronics, INFINITT Healthcare, InnoTherapy, Anam Electronics, Vivozon Healthcare, ABCO Electronics, and Neungyule Education. More
Hugel 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 Hugel'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 Hugel Inc upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.68 | |||
| Information Ratio | 0.163 | |||
| Maximum Drawdown | 15.32 | |||
| Value At Risk | (3.79) | |||
| Potential Upside | 6.45 |
Hugel Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Hugel's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Hugel's standard deviation. In reality, there are many statistical measures that can use Hugel historical prices to predict the future Hugel's volatility.| Risk Adjusted Performance | 0.1217 | |||
| Jensen Alpha | 0.3339 | |||
| Total Risk Alpha | 0.7956 | |||
| Sortino Ratio | 0.1908 | |||
| Treynor Ratio | (0.64) |
Hugel Inc Backtested Returns
Hugel appears to be very steady, given 3 months investment horizon. Hugel Inc holds Efficiency (Sharpe) Ratio of 0.13, which attests that the entity had a 0.13 % return per unit of risk over the last 3 months. We have found thirty technical indicators for Hugel Inc, which you can use to evaluate the volatility of the firm. Please utilize Hugel's Downside Deviation of 2.68, market risk adjusted performance of (0.63), and Risk Adjusted Performance of 0.1217 to validate if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Hugel holds a performance score of 10. The company retains a Market Volatility (i.e., Beta) of -0.63, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Hugel are expected to decrease at a much lower rate. During the bear market, Hugel is likely to outperform the market. Please check Hugel'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 Hugel's current trending patterns will revert.
Auto-correlation | -0.8 |
Almost perfect reverse predictability
Hugel Inc has almost perfect reverse predictability. Overlapping area represents the amount of predictability between Hugel time series from 16th of December 2024 to 30th of January 2025 and 30th of January 2025 to 16th of March 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Hugel Inc price movement. The serial correlation of -0.8 indicates that around 80.0% of current Hugel price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.8 | |
| Spearman Rank Test | -0.88 | |
| Residual Average | 0.0 | |
| Price Variance | 1 B |
Hugel Inc lagged returns against current returns
Autocorrelation, which is Hugel 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 Hugel's stock expected returns. We can calculate the autocorrelation of Hugel returns to help us make a trade decision. For example, suppose you find that Hugel 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 |
Hugel 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 Hugel stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Hugel stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Hugel stock over time.
Current vs Lagged Prices |
| Timeline |
Hugel Lagged Returns
When evaluating Hugel's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Hugel stock have on its future price. Hugel 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, Hugel autocorrelation shows the relationship between Hugel stock current value and its past values and can show if there is a momentum factor associated with investing in Hugel Inc.
Regressed Prices |
| Timeline |
Pair Trading with Hugel
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 Hugel 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 Hugel will appreciate offsetting losses from the drop in the long position's value.Moving against Hugel Stock
The ability to find closely correlated positions to Hugel could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Hugel 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 Hugel - 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 Hugel Inc to buy it.
The correlation of Hugel 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 Hugel moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Hugel 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 Hugel 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 Hugel Stock
Hugel financial ratios help investors to determine whether Hugel 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 Hugel with respect to the benefits of owning Hugel security.