HMM (Korea) Market Value
| 011200 Stock | 18,500 380.00 2.01% |
| Symbol | HMM |
HMM '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 HMM'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 HMM.
| 12/08/2022 |
| 11/27/2024 |
If you would invest 0.00 in HMM on December 8, 2022 and sell it all today you would earn a total of 0.00 from holding HMM Co or generate 0.0% return on investment in HMM over 720 days. HMM is related to or competes with Moonbae Steel, Dongil Steel, Miwon Chemical, Youngbo Chemical, Seah Steel, and Jeil Steel. More
HMM 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 HMM'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 HMM Co upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.37 | |||
| Information Ratio | (0.01) | |||
| Maximum Drawdown | 12.25 | |||
| Value At Risk | (3.15) | |||
| Potential Upside | 3.52 |
HMM Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for HMM's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as HMM's standard deviation. In reality, there are many statistical measures that can use HMM historical prices to predict the future HMM's volatility.| Risk Adjusted Performance | 0.0418 | |||
| Jensen Alpha | 0.1511 | |||
| Total Risk Alpha | (0.25) | |||
| Sortino Ratio | (0.01) | |||
| Treynor Ratio | (0.18) |
HMM Co Backtested Returns
At this point, HMM is very steady. HMM Co holds Efficiency (Sharpe) Ratio of 0.0703, which attests that the entity had a 0.0703% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for HMM Co, which you can use to evaluate the volatility of the firm. Please check out HMM's Risk Adjusted Performance of 0.0418, semi deviation of 2.13, and Market Risk Adjusted Performance of (0.17) to validate if the risk estimate we provide is consistent with the expected return of 0.16%. HMM has a performance score of 5 on a scale of 0 to 100. The company retains a Market Volatility (i.e., Beta) of -0.51, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning HMM are expected to decrease at a much lower rate. During the bear market, HMM is likely to outperform the market. HMM Co currently retains a risk of 2.3%. Please check out HMM coefficient of variation, jensen alpha, and the relationship between the downside deviation and standard deviation , to decide if HMM will be following its current trending patterns.
Auto-correlation | 0.11 |
Insignificant predictability
HMM Co has insignificant predictability. Overlapping area represents the amount of predictability between HMM time series from 8th of December 2022 to 3rd of December 2023 and 3rd of December 2023 to 27th of November 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 HMM Co price movement. The serial correlation of 0.11 indicates that less than 11.0% of current HMM price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.11 | |
| Spearman Rank Test | -0.03 | |
| Residual Average | 0.0 | |
| Price Variance | 2.1 M |
HMM Co lagged returns against current returns
Autocorrelation, which is HMM 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 HMM's stock expected returns. We can calculate the autocorrelation of HMM returns to help us make a trade decision. For example, suppose you find that HMM 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 |
HMM 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 HMM stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if HMM stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in HMM stock over time.
Current vs Lagged Prices |
| Timeline |
HMM Lagged Returns
When evaluating HMM's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of HMM stock have on its future price. HMM 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, HMM autocorrelation shows the relationship between HMM stock current value and its past values and can show if there is a momentum factor associated with investing in HMM Co.
Regressed Prices |
| Timeline |
Pair Trading with HMM
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 HMM 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 HMM will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to HMM could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace HMM 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 HMM - 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 HMM Co to buy it.
The correlation of HMM 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 HMM moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if HMM Co 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 HMM 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 HMM Stock
HMM financial ratios help investors to determine whether HMM 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 HMM with respect to the benefits of owning HMM security.