Troax Group (Sweden) Market Value
| TROAX Stock | SEK 212.00 18.50 8.03% |
| Symbol | Troax |
Troax Group '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 Troax Group'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 Troax Group.
| 10/26/2023 |
| 04/23/2024 |
If you would invest 0.00 in Troax Group on October 26, 2023 and sell it all today you would earn a total of 0.00 from holding Troax Group AB or generate 0.0% return on investment in Troax Group over 180 days. Troax Group is related to or competes with Cloetta AB, and Dometic Group. Troax Group AB , through its subsidiaries, produces and sells mesh panels in the Nordic region, the United Kingdom, Nort... More
Troax Group 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 Troax Group'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 Troax Group AB upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.05) | |||
| Maximum Drawdown | 8.35 | |||
| Value At Risk | (3.15) | |||
| Potential Upside | 2.96 |
Troax Group Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Troax Group's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Troax Group's standard deviation. In reality, there are many statistical measures that can use Troax Group historical prices to predict the future Troax Group's volatility.| Risk Adjusted Performance | 0.003 | |||
| Jensen Alpha | (0.06) | |||
| Total Risk Alpha | (0.30) | |||
| Treynor Ratio | (0.06) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Troax Group'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.
Troax Group AB Backtested Returns
Troax Group AB owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0079, which indicates the firm had a -0.0079% return per unit of risk over the last 3 months. Troax Group AB exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Troax Group's Coefficient Of Variation of (14,679), risk adjusted performance of 0.003, and Variance of 4.68 to confirm the risk estimate we provide. The entity has a beta of 0.42, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, Troax Group's returns are expected to increase less than the market. However, during the bear market, the loss of holding Troax Group is expected to be smaller as well. Troax Group AB has an expected return of -0.0176%. Please make sure to validate Troax Group treynor ratio, accumulation distribution, as well as the relationship between the Accumulation Distribution and price action indicator , to decide if Troax Group AB performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.59 |
Modest predictability
Troax Group AB has modest predictability. Overlapping area represents the amount of predictability between Troax Group time series from 26th of October 2023 to 24th of January 2024 and 24th of January 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 Troax Group AB price movement. The serial correlation of 0.59 indicates that roughly 59.0% of current Troax Group price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.59 | |
| Spearman Rank Test | 0.35 | |
| Residual Average | 0.0 | |
| Price Variance | 85.19 |
Troax Group AB lagged returns against current returns
Autocorrelation, which is Troax Group 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 Troax Group's stock expected returns. We can calculate the autocorrelation of Troax Group returns to help us make a trade decision. For example, suppose you find that Troax Group 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 |
Troax Group 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 Troax Group stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Troax Group stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Troax Group stock over time.
Current vs Lagged Prices |
| Timeline |
Troax Group Lagged Returns
When evaluating Troax Group's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Troax Group stock have on its future price. Troax Group 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, Troax Group autocorrelation shows the relationship between Troax Group stock current value and its past values and can show if there is a momentum factor associated with investing in Troax Group AB.
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 Troax Group 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, Troax Group's short interest history, or implied volatility extrapolated from Troax Group options trading.
Currently Active Assets on Macroaxis
Check out Troax Group Correlation, Troax Group Volatility and Troax Group Alpha and Beta module to complement your research on Troax Group. You can also try the Efficient Frontier module to plot and analyze your portfolio and positions against risk-return landscape of the market..
Complementary Tools for Troax Stock analysis
When running Troax Group's price analysis, check to measure Troax Group'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 Troax Group is operating at the current time. Most of Troax Group's value examination focuses on studying past and present price action to predict the probability of Troax Group's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Troax Group's price. Additionally, you may evaluate how the addition of Troax Group to your portfolios can decrease your overall portfolio volatility.
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Troax Group 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.