HuMC (Korea) Market Value
| 263920 Stock | 992.00 2.00 0.20% |
| Symbol | HuMC |
HuMC '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 HuMC'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 HuMC.
| 05/06/2024 |
| 12/02/2024 |
If you would invest 0.00 in HuMC on May 6, 2024 and sell it all today you would earn a total of 0.00 from holding HuMC Co or generate 0.0% return on investment in HuMC over 210 days.
HuMC 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 HuMC'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 HuMC Co upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.33) | |||
| Maximum Drawdown | 4.38 | |||
| Value At Risk | (1.75) | |||
| Potential Upside | 1.17 |
HuMC Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for HuMC's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as HuMC's standard deviation. In reality, there are many statistical measures that can use HuMC historical prices to predict the future HuMC's volatility.| Risk Adjusted Performance | (0.13) | |||
| Jensen Alpha | (0.14) | |||
| Total Risk Alpha | (0.30) | |||
| Treynor Ratio | 2.0 |
HuMC Backtested Returns
HuMC 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. HuMC exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out HuMC's Coefficient Of Variation of (593.92), risk adjusted performance of (0.13), and Market Risk Adjusted Performance of 2.01 to validate the risk estimate we provide. The company retains a Market Volatility (i.e., Beta) of -0.0773, which attests to not very significant fluctuations relative to the market. As returns on the market increase, returns on owning HuMC are expected to decrease at a much lower rate. During the bear market, HuMC is likely to outperform the market. At this point, HuMC has a negative expected return of -0.11%. Please make sure to check out HuMC's jensen alpha, treynor ratio, and the relationship between the standard deviation and total risk alpha , to decide if HuMC performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.51 |
Modest predictability
HuMC Co has modest predictability. Overlapping area represents the amount of predictability between HuMC time series from 6th of May 2024 to 19th of August 2024 and 19th of August 2024 to 2nd 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 HuMC price movement. The serial correlation of 0.51 indicates that about 51.0% of current HuMC price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.51 | |
| Spearman Rank Test | 0.6 | |
| Residual Average | 0.0 | |
| Price Variance | 1001.72 |
HuMC lagged returns against current returns
Autocorrelation, which is HuMC 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 HuMC's stock expected returns. We can calculate the autocorrelation of HuMC returns to help us make a trade decision. For example, suppose you find that HuMC 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 |
HuMC 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 HuMC stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if HuMC stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in HuMC stock over time.
Current vs Lagged Prices |
| Timeline |
HuMC Lagged Returns
When evaluating HuMC's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of HuMC stock have on its future price. HuMC 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, HuMC autocorrelation shows the relationship between HuMC stock current value and its past values and can show if there is a momentum factor associated with investing in HuMC Co.
Regressed Prices |
| Timeline |
Pair Trading with HuMC
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 HuMC 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 HuMC will appreciate offsetting losses from the drop in the long position's value.Moving together with HuMC Stock
The ability to find closely correlated positions to HuMC could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace HuMC 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 HuMC - 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 HuMC Co to buy it.
The correlation of HuMC 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 HuMC moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if HuMC 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 HuMC 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.