Harboes Bryggeri (Denmark) Market Value
| HARB-B Stock | DKK 123.00 3.00 2.50% |
| Symbol | Harboes |
Harboes Bryggeri '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 Harboes Bryggeri'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 Harboes Bryggeri.
| 04/05/2024 |
| 05/05/2024 |
If you would invest 0.00 in Harboes Bryggeri on April 5, 2024 and sell it all today you would earn a total of 0.00 from holding Harboes Bryggeri AS or generate 0.0% return on investment in Harboes Bryggeri over 30 days. Harboes Bryggeri is related to or competes with Carlsberg, and Royal Unibrew. Harboes Bryggeri AS produces and markets beverages and malt-based ingredients More
Harboes Bryggeri 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 Harboes Bryggeri'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 Harboes Bryggeri AS upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.7 | |||
| Information Ratio | 0.3474 | |||
| Maximum Drawdown | 12.41 | |||
| Value At Risk | (2.50) | |||
| Potential Upside | 5.67 |
Harboes Bryggeri Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Harboes Bryggeri's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Harboes Bryggeri's standard deviation. In reality, there are many statistical measures that can use Harboes Bryggeri historical prices to predict the future Harboes Bryggeri's volatility.| Risk Adjusted Performance | 0.2472 | |||
| Jensen Alpha | 0.9525 | |||
| Total Risk Alpha | 0.6514 | |||
| Sortino Ratio | 0.4999 | |||
| Treynor Ratio | (2.02) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Harboes Bryggeri'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.
Harboes Bryggeri Backtested Returns
Harboes Bryggeri is very steady given 3 months investment horizon. Harboes Bryggeri holds Efficiency (Sharpe) Ratio of 0.42, which attests that the entity had a 0.42% return per unit of risk over the last 3 months. We were able to interpolate thirty different technical indicators, which can help you to evaluate if expected returns of 1.03% are justified by taking the suggested risk. Use Harboes Bryggeri AS Risk Adjusted Performance of 0.2472, market risk adjusted performance of (2.01), and Downside Deviation of 1.7 to evaluate company specific risk that cannot be diversified away. Harboes Bryggeri holds a performance score of 32 on a scale of zero to a hundred. The company retains a Market Volatility (i.e., Beta) of -0.45, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Harboes Bryggeri are expected to decrease at a much lower rate. During the bear market, Harboes Bryggeri is likely to outperform the market. Use Harboes Bryggeri AS treynor ratio, value at risk, and the relationship between the sortino ratio and maximum drawdown , to analyze future returns on Harboes Bryggeri AS.
Auto-correlation | 0.93 |
Excellent predictability
Harboes Bryggeri AS has excellent predictability. Overlapping area represents the amount of predictability between Harboes Bryggeri time series from 5th of April 2024 to 20th of April 2024 and 20th of April 2024 to 5th of May 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 Harboes Bryggeri price movement. The serial correlation of 0.93 indicates that approximately 93.0% of current Harboes Bryggeri price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.93 | |
| Spearman Rank Test | 0.58 | |
| Residual Average | 0.0 | |
| Price Variance | 58.74 |
Harboes Bryggeri lagged returns against current returns
Autocorrelation, which is Harboes Bryggeri 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 Harboes Bryggeri's stock expected returns. We can calculate the autocorrelation of Harboes Bryggeri returns to help us make a trade decision. For example, suppose you find that Harboes Bryggeri 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 |
Harboes Bryggeri 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 Harboes Bryggeri stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Harboes Bryggeri stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Harboes Bryggeri stock over time.
Current vs Lagged Prices |
| Timeline |
Harboes Bryggeri Lagged Returns
When evaluating Harboes Bryggeri's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Harboes Bryggeri stock have on its future price. Harboes Bryggeri 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, Harboes Bryggeri autocorrelation shows the relationship between Harboes Bryggeri stock current value and its past values and can show if there is a momentum factor associated with investing in Harboes Bryggeri AS.
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 Harboes Bryggeri 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, Harboes Bryggeri's short interest history, or implied volatility extrapolated from Harboes Bryggeri options trading.
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Complementary Tools for Harboes Stock analysis
When running Harboes Bryggeri's price analysis, check to measure Harboes Bryggeri'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 Harboes Bryggeri is operating at the current time. Most of Harboes Bryggeri's value examination focuses on studying past and present price action to predict the probability of Harboes Bryggeri's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Harboes Bryggeri's price. Additionally, you may evaluate how the addition of Harboes Bryggeri to your portfolios can decrease your overall portfolio volatility.
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Harboes Bryggeri 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.