OPERA SOFTWARE (Germany) Market Value
| OS3 Stock | 0.65 0.01 1.56% |
| Symbol | OPERA |
OPERA SOFTWARE '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 OPERA SOFTWARE'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 OPERA SOFTWARE.
| 12/10/2024 |
| 01/09/2025 |
If you would invest 0.00 in OPERA SOFTWARE on December 10, 2024 and sell it all today you would earn a total of 0.00 from holding OPERA SOFTWARE or generate 0.0% return on investment in OPERA SOFTWARE over 30 days. OPERA SOFTWARE is related to or competes with UNIQA INSURANCE, ZURICH INSURANCE, CARDINAL HEALTH, INSURANCE AUST, QBE Insurance, RCI Hospitality, and OPKO HEALTH. More
OPERA SOFTWARE 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 OPERA SOFTWARE'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 OPERA SOFTWARE upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.04) | |||
| Maximum Drawdown | 6.23 | |||
| Value At Risk | (1.59) | |||
| Potential Upside | 3.13 |
OPERA SOFTWARE Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for OPERA SOFTWARE's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as OPERA SOFTWARE's standard deviation. In reality, there are many statistical measures that can use OPERA SOFTWARE historical prices to predict the future OPERA SOFTWARE's volatility.| Risk Adjusted Performance | (0.01) | |||
| Jensen Alpha | (0.04) | |||
| Total Risk Alpha | (0.08) | |||
| Treynor Ratio | 0.2283 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of OPERA SOFTWARE'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.
OPERA SOFTWARE Backtested Returns
OPERA SOFTWARE maintains Sharpe Ratio (i.e., Efficiency) of -0.0081, which implies the firm had a -0.0081% return per unit of risk over the last 3 months. OPERA SOFTWARE exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check OPERA SOFTWARE's Coefficient Of Variation of (4,717), risk adjusted performance of (0.01), and Mean Deviation of 1.18 to confirm the risk estimate we provide. The company holds a Beta of -0.19, which implies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning OPERA SOFTWARE are expected to decrease at a much lower rate. During the bear market, OPERA SOFTWARE is likely to outperform the market. At this point, OPERA SOFTWARE has a negative expected return of -0.0131%. Please make sure to check OPERA SOFTWARE's jensen alpha, kurtosis, market facilitation index, as well as the relationship between the maximum drawdown and rate of daily change , to decide if OPERA SOFTWARE performance from the past will be repeated at future time.
Auto-correlation | -0.46 |
Modest reverse predictability
OPERA SOFTWARE has modest reverse predictability. Overlapping area represents the amount of predictability between OPERA SOFTWARE time series from 10th of December 2024 to 25th of December 2024 and 25th of December 2024 to 9th of January 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of OPERA SOFTWARE price movement. The serial correlation of -0.46 indicates that about 46.0% of current OPERA SOFTWARE price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.46 | |
| Spearman Rank Test | -0.69 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
OPERA SOFTWARE lagged returns against current returns
Autocorrelation, which is OPERA SOFTWARE 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 OPERA SOFTWARE's stock expected returns. We can calculate the autocorrelation of OPERA SOFTWARE returns to help us make a trade decision. For example, suppose you find that OPERA SOFTWARE 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 |
OPERA SOFTWARE 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 OPERA SOFTWARE stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if OPERA SOFTWARE stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in OPERA SOFTWARE stock over time.
Current vs Lagged Prices |
| Timeline |
OPERA SOFTWARE Lagged Returns
When evaluating OPERA SOFTWARE's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of OPERA SOFTWARE stock have on its future price. OPERA SOFTWARE 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, OPERA SOFTWARE autocorrelation shows the relationship between OPERA SOFTWARE stock current value and its past values and can show if there is a momentum factor associated with investing in OPERA SOFTWARE.
Regressed Prices |
| Timeline |
Thematic Opportunities
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Additional Tools for OPERA Stock Analysis
When running OPERA SOFTWARE's price analysis, check to measure OPERA SOFTWARE'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 OPERA SOFTWARE is operating at the current time. Most of OPERA SOFTWARE's value examination focuses on studying past and present price action to predict the probability of OPERA SOFTWARE's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move OPERA SOFTWARE's price. Additionally, you may evaluate how the addition of OPERA SOFTWARE to your portfolios can decrease your overall portfolio volatility.