Stora Enso (Finland) Market Value
| STERV Stock | EUR 12.61 0.10 0.79% |
| Symbol | Stora |
Stora Enso '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 Stora Enso'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 Stora Enso.
| 03/31/2024 |
| 04/30/2024 |
If you would invest 0.00 in Stora Enso on March 31, 2024 and sell it all today you would earn a total of 0.00 from holding Stora Enso Oyj or generate 0.0% return on investment in Stora Enso over 30 days. Stora Enso is related to or competes with Valmet Oyj, and Wartsila Oyj. Stora Enso Oyj provides renewable solutions for the packaging, biomaterials, wooden constructions, and paper industries ... More
Stora Enso 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 Stora Enso'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 Stora Enso Oyj upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.72 | |||
| Information Ratio | 0.0368 | |||
| Maximum Drawdown | 6.81 | |||
| Value At Risk | (1.97) | |||
| Potential Upside | 3.32 |
Stora Enso Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Stora Enso's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Stora Enso's standard deviation. In reality, there are many statistical measures that can use Stora Enso historical prices to predict the future Stora Enso's volatility.| Risk Adjusted Performance | 0.0623 | |||
| Jensen Alpha | 0.1417 | |||
| Total Risk Alpha | (0.07) | |||
| Sortino Ratio | 0.0361 | |||
| Treynor Ratio | (19.88) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Stora Enso'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.
Stora Enso Oyj Backtested Returns
We consider Stora Enso not too volatile. Stora Enso Oyj owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0779, which indicates the firm had a 0.0779% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Stora Enso Oyj, which you can use to evaluate the volatility of the company. Please validate Stora Enso's Risk Adjusted Performance of 0.0623, coefficient of variation of 1114.45, and Semi Deviation of 1.47 to confirm if the risk estimate we provide is consistent with the expected return of 0.13%. Stora Enso has a performance score of 6 on a scale of 0 to 100. The entity has a beta of -0.0071, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Stora Enso are expected to decrease at a much lower rate. During the bear market, Stora Enso is likely to outperform the market. Stora Enso Oyj right now has a risk of 1.7%. Please validate Stora Enso potential upside, as well as the relationship between the accumulation distribution and period momentum indicator , to decide if Stora Enso will be following its existing price patterns.
Auto-correlation | -0.42 |
Modest reverse predictability
Stora Enso Oyj has modest reverse predictability. Overlapping area represents the amount of predictability between Stora Enso time series from 31st of March 2024 to 15th of April 2024 and 15th of April 2024 to 30th 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 Stora Enso Oyj price movement. The serial correlation of -0.42 indicates that just about 42.0% of current Stora Enso price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.42 | |
| Spearman Rank Test | -0.56 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
Stora Enso Oyj lagged returns against current returns
Autocorrelation, which is Stora Enso 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 Stora Enso's stock expected returns. We can calculate the autocorrelation of Stora Enso returns to help us make a trade decision. For example, suppose you find that Stora Enso 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 |
Stora Enso 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 Stora Enso stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Stora Enso stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Stora Enso stock over time.
Current vs Lagged Prices |
| Timeline |
Stora Enso Lagged Returns
When evaluating Stora Enso's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Stora Enso stock have on its future price. Stora Enso 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, Stora Enso autocorrelation shows the relationship between Stora Enso stock current value and its past values and can show if there is a momentum factor associated with investing in Stora Enso Oyj.
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 Stora Enso 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, Stora Enso's short interest history, or implied volatility extrapolated from Stora Enso options trading.
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Check out Stora Enso Correlation, Stora Enso Volatility and Stora Enso Alpha and Beta module to complement your research on Stora Enso. You can also try the Portfolio File Import module to quickly import all of your third-party portfolios from your local drive in csv format.
Complementary Tools for Stora Stock analysis
When running Stora Enso's price analysis, check to measure Stora Enso'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 Stora Enso is operating at the current time. Most of Stora Enso's value examination focuses on studying past and present price action to predict the probability of Stora Enso's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Stora Enso's price. Additionally, you may evaluate how the addition of Stora Enso to your portfolios can decrease your overall portfolio volatility.
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Stora Enso 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.