H M Hennes Stock Market Value
| HMRZF Stock | USD 15.74 0.00 0.00% |
| Symbol | HMRZF |
H M '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 H M's pink sheet 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 H M.
| 03/24/2024 |
| 04/23/2024 |
If you would invest 0.00 in H M on March 24, 2024 and sell it all today you would earn a total of 0.00 from holding H M Hennes or generate 0.0% return on investment in H M over 30 days. H M is related to or competes with Superior Uniform, Lakeland Industries, Jerash Holdings, G III, JX Luxventure, Vince Holding, and Oxford Industries. H M Hennes Mauritz AB provides clothing, accessories, footwear, cosmetics, home textiles, and homeware for women, men, t... More
H M 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 H M's pink sheet 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 H M Hennes upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.03) | |||
| Maximum Drawdown | 29.81 | |||
| Value At Risk | (3.56) |
H M Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for H M's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as H M's standard deviation. In reality, there are many statistical measures that can use H M historical prices to predict the future H M's volatility.| Risk Adjusted Performance | 0.0073 | |||
| Jensen Alpha | (0.11) | |||
| Total Risk Alpha | (0.42) | |||
| Treynor Ratio | (0.01) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of H M'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.
H M Hennes Backtested Returns
H M Hennes holds Efficiency (Sharpe) Ratio of -0.0014, which attests that the company had a -0.0014% return per unit of risk over the last 3 months. H M Hennes exposes seventeen different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out H M's standard deviation of 3.29, and Coefficient Of Variation of (73,017) to validate the risk estimate we provide. The firm retains a Market Volatility (i.e., Beta) of 1.22, which attests to a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, H M will likely underperform. H M Hennes has an expected return of -0.0048%. Please make sure to check out H M variance and skewness , to decide if H M Hennes performance from the past will be repeated sooner or later.
Auto-correlation | -92,233,720,368,547,760 |
Near perfect reversele predictability
H M Hennes has near perfect reversele predictability. Overlapping area represents the amount of predictability between H M time series from 24th of March 2024 to 8th of April 2024 and 8th of April 2024 to 23rd of April 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 H M Hennes price movement. The serial correlation of -9.223372036854776E16 indicates that 9.223372036854776E16% of current H M price fluctuation can be explain by its past prices.
| Correlation Coefficient | -92233.7 T | |
| Spearman Rank Test | 0.22 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
H M Hennes lagged returns against current returns
Autocorrelation, which is H M pink sheet'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 H M's pink sheet expected returns. We can calculate the autocorrelation of H M returns to help us make a trade decision. For example, suppose you find that H M has exhibited high autocorrelation historically, and you observe that the pink sheet 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 |
H M 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 H M pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if H M pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in H M pink sheet over time.
Current vs Lagged Prices |
| Timeline |
H M Lagged Returns
When evaluating H M's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of H M pink sheet have on its future price. H M 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, H M autocorrelation shows the relationship between H M pink sheet current value and its past values and can show if there is a momentum factor associated with investing in H M Hennes.
Regressed Prices |
| Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards H M in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, H M's short interest history, or implied volatility extrapolated from H M options trading.
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Try AI Portfolio ArchitectCheck out H M Correlation, H M Volatility and H M Alpha and Beta module to complement your research on H M. Note that the H M Hennes information on this page should be used as a complementary analysis to other H M'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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
Complementary Tools for HMRZF Pink Sheet analysis
When running H M's price analysis, check to measure H M'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 H M is operating at the current time. Most of H M's value examination focuses on studying past and present price action to predict the probability of H M's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move H M's price. Additionally, you may evaluate how the addition of H M to your portfolios can decrease your overall portfolio volatility.
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H M technical pink sheet 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, pink sheet market cycles, or different charting patterns.