Hugo Boss (Germany) Market Value
| BOSS Stock | EUR 52.58 0.14 0.27% |
| Symbol | Hugo |
Hugo Boss '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 Hugo Boss' 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 Hugo Boss.
| 03/16/2024 |
| 04/15/2024 |
If you would invest 0.00 in Hugo Boss on March 16, 2024 and sell it all today you would earn a total of 0.00 from holding Hugo Boss AG or generate 0.0% return on investment in Hugo Boss over 30 days. Hugo Boss is related to or competes with Datadog, FIREWEED METALS, PARKEN Sport, ITALIAN WINE, Jacquet Metal, MICRONIC MYDATA, and VASCO DATA. More
Hugo Boss 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 Hugo Boss' 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 Hugo Boss AG upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.14) | |||
| Maximum Drawdown | 13.61 | |||
| Value At Risk | (3.95) | |||
| Potential Upside | 3.67 |
Hugo Boss Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Hugo Boss' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Hugo Boss' standard deviation. In reality, there are many statistical measures that can use Hugo Boss historical prices to predict the future Hugo Boss' volatility.| Risk Adjusted Performance | (0.06) | |||
| Jensen Alpha | (0.30) | |||
| Total Risk Alpha | (0.55) | |||
| Treynor Ratio | (1.34) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Hugo Boss' 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.
Hugo Boss AG Backtested Returns
Hugo Boss AG holds Efficiency (Sharpe) Ratio of -0.12, which attests that the entity had a -0.12% return per unit of risk over the last 3 months. Hugo Boss AG exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Hugo Boss' Market Risk Adjusted Performance of (1.33), risk adjusted performance of (0.06), and Standard Deviation of 2.47 to validate the risk estimate we provide. The company retains a Market Volatility (i.e., Beta) of 0.21, which attests to not very significant fluctuations relative to the market. As returns on the market increase, Hugo Boss' returns are expected to increase less than the market. However, during the bear market, the loss of holding Hugo Boss is expected to be smaller as well. Hugo Boss AG has an expected return of -0.29%. Please make sure to check out Hugo Boss coefficient of variation, information ratio, total risk alpha, as well as the relationship between the standard deviation and jensen alpha , to decide if Hugo Boss AG performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.07 |
Virtually no predictability
Hugo Boss AG has virtually no predictability. Overlapping area represents the amount of predictability between Hugo Boss time series from 16th of March 2024 to 31st of March 2024 and 31st of March 2024 to 15th 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 Hugo Boss AG price movement. The serial correlation of 0.07 indicates that barely 7.0% of current Hugo Boss price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.07 | |
| Spearman Rank Test | -0.28 | |
| Residual Average | 0.0 | |
| Price Variance | 1.83 |
Hugo Boss AG lagged returns against current returns
Autocorrelation, which is Hugo Boss 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 Hugo Boss' stock expected returns. We can calculate the autocorrelation of Hugo Boss returns to help us make a trade decision. For example, suppose you find that Hugo Boss 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 |
Hugo Boss 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 Hugo Boss stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Hugo Boss stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Hugo Boss stock over time.
Current vs Lagged Prices |
| Timeline |
Hugo Boss Lagged Returns
When evaluating Hugo Boss' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Hugo Boss stock have on its future price. Hugo Boss 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, Hugo Boss autocorrelation shows the relationship between Hugo Boss stock current value and its past values and can show if there is a momentum factor associated with investing in Hugo Boss AG.
Regressed Prices |
| Timeline |
Pair Trading with Hugo Boss
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 Hugo Boss 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 Hugo Boss will appreciate offsetting losses from the drop in the long position's value.Moving against Hugo Stock
| 0.7 | MSF | Microsoft | PairCorr |
| 0.69 | MSF | Microsoft | PairCorr |
| 0.69 | MSF | Microsoft | PairCorr |
| 0.68 | MSF | Microsoft | PairCorr |
| 0.68 | MSF | Microsoft | PairCorr |
The ability to find closely correlated positions to Hugo Boss could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Hugo Boss 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 Hugo Boss - 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 Hugo Boss AG to buy it.
The correlation of Hugo Boss 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 Hugo Boss moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Hugo Boss AG 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 Hugo Boss 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.Check out Hugo Boss Correlation, Hugo Boss Volatility and Hugo Boss Alpha and Beta module to complement your research on Hugo Boss. You can also try the AI Investment Finder module to use AI to screen and filter profitable investment opportunities.
Complementary Tools for Hugo Stock analysis
When running Hugo Boss' price analysis, check to measure Hugo Boss' 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 Hugo Boss is operating at the current time. Most of Hugo Boss' value examination focuses on studying past and present price action to predict the probability of Hugo Boss' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Hugo Boss' price. Additionally, you may evaluate how the addition of Hugo Boss to your portfolios can decrease your overall portfolio volatility.
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Hugo Boss technical stock 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, stock market cycles, or different charting patterns.