Ponsse Oyj (Finland) Market Value
PON1V Stock | EUR 22.90 0.30 1.33% |
Symbol | Ponsse |
Ponsse Oyj '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 Ponsse Oyj'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 Ponsse Oyj.
03/30/2024 |
| 04/29/2024 |
If you would invest 0.00 in Ponsse Oyj on March 30, 2024 and sell it all today you would earn a total of 0.00 from holding Ponsse Oyj 1 or generate 0.0% return on investment in Ponsse Oyj over 30 days. Ponsse Oyj is related to or competes with Olvi Oyj, Valmet Oyj, Wartsila Oyj, UPM Kymmene, and Konecranes Plc. Ponsse Oyj, together with its subsidiaries, develops, manufactures, and sells cut-to-length forest machines More
Ponsse Oyj 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 Ponsse Oyj'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 Ponsse Oyj 1 upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 1.61 | |||
Information Ratio | (0.03) | |||
Maximum Drawdown | 6.87 | |||
Value At Risk | (2.13) | |||
Potential Upside | 2.4 |
Ponsse Oyj Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Ponsse Oyj's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Ponsse Oyj's standard deviation. In reality, there are many statistical measures that can use Ponsse Oyj historical prices to predict the future Ponsse Oyj's volatility.Risk Adjusted Performance | 0.0247 | |||
Jensen Alpha | 0.0091 | |||
Total Risk Alpha | (0.16) | |||
Sortino Ratio | (0.03) | |||
Treynor Ratio | 0.1066 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Ponsse Oyj'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.
Ponsse Oyj 1 Backtested Returns
We consider Ponsse Oyj very steady. Ponsse Oyj 1 maintains Sharpe Ratio (i.e., Efficiency) of 0.0302, which implies the firm had a 0.0302% return per unit of risk over the last 3 months. We have found thirty technical indicators for Ponsse Oyj 1, which you can use to evaluate the volatility of the company. Please check Ponsse Oyj's Risk Adjusted Performance of 0.0247, semi deviation of 1.34, and Coefficient Of Variation of 3306.15 to confirm if the risk estimate we provide is consistent with the expected return of 0.0454%. Ponsse Oyj has a performance score of 2 on a scale of 0 to 100. The company holds a Beta of 0.33, which implies possible diversification benefits within a given portfolio. As returns on the market increase, Ponsse Oyj's returns are expected to increase less than the market. However, during the bear market, the loss of holding Ponsse Oyj is expected to be smaller as well. Ponsse Oyj 1 right now holds a risk of 1.5%. Please check Ponsse Oyj 1 treynor ratio, kurtosis, period momentum indicator, as well as the relationship between the downside variance and day median price , to decide if Ponsse Oyj 1 will be following its historical price patterns.
Auto-correlation | -0.25 |
Weak reverse predictability
Ponsse Oyj 1 has weak reverse predictability. Overlapping area represents the amount of predictability between Ponsse Oyj time series from 30th of March 2024 to 14th of April 2024 and 14th of April 2024 to 29th 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 Ponsse Oyj 1 price movement. The serial correlation of -0.25 indicates that over 25.0% of current Ponsse Oyj price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.25 | |
Spearman Rank Test | -0.44 | |
Residual Average | 0.0 | |
Price Variance | 0.07 |
Ponsse Oyj 1 lagged returns against current returns
Autocorrelation, which is Ponsse Oyj 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 Ponsse Oyj's stock expected returns. We can calculate the autocorrelation of Ponsse Oyj returns to help us make a trade decision. For example, suppose you find that Ponsse Oyj 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 |
Ponsse Oyj 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 Ponsse Oyj stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Ponsse Oyj stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Ponsse Oyj stock over time.
Current vs Lagged Prices |
Timeline |
Ponsse Oyj Lagged Returns
When evaluating Ponsse Oyj's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Ponsse Oyj stock have on its future price. Ponsse Oyj 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, Ponsse Oyj autocorrelation shows the relationship between Ponsse Oyj stock current value and its past values and can show if there is a momentum factor associated with investing in Ponsse Oyj 1.
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 Ponsse Oyj 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, Ponsse Oyj's short interest history, or implied volatility extrapolated from Ponsse Oyj options trading.
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Check out Ponsse Oyj Correlation, Ponsse Oyj Volatility and Ponsse Oyj Alpha and Beta module to complement your research on Ponsse Oyj. You can also try the Portfolio Manager module to state of the art Portfolio Manager to monitor and improve performance of your invested capital.
Complementary Tools for Ponsse Stock analysis
When running Ponsse Oyj's price analysis, check to measure Ponsse Oyj'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 Ponsse Oyj is operating at the current time. Most of Ponsse Oyj's value examination focuses on studying past and present price action to predict the probability of Ponsse Oyj's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Ponsse Oyj's price. Additionally, you may evaluate how the addition of Ponsse Oyj to your portfolios can decrease your overall portfolio volatility.
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Ponsse Oyj 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.