Sparinvest SICAV (Denmark) Market Value
| SSIPEURR | EUR 246.70 0.00 0.00% |
| Symbol | Sparinvest |
Please note, there is a significant difference between Sparinvest SICAV's value and its price as these two are different measures arrived at by different means. Investors typically determine if Sparinvest SICAV is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Sparinvest SICAV's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
Sparinvest SICAV '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 Sparinvest SICAV's fund 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 Sparinvest SICAV.
| 10/27/2023 |
| 04/24/2024 |
If you would invest 0.00 in Sparinvest SICAV on October 27, 2023 and sell it all today you would earn a total of 0.00 from holding Sparinvest SICAV Procedo or generate 0.0% return on investment in Sparinvest SICAV over 180 days. More
Sparinvest SICAV 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 Sparinvest SICAV's fund 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 Sparinvest SICAV Procedo upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.3791 | |||
| Information Ratio | (0.11) | |||
| Maximum Drawdown | 2.31 | |||
| Value At Risk | (0.33) | |||
| Potential Upside | 0.7429 |
Sparinvest SICAV Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Sparinvest SICAV's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Sparinvest SICAV's standard deviation. In reality, there are many statistical measures that can use Sparinvest SICAV historical prices to predict the future Sparinvest SICAV's volatility.| Risk Adjusted Performance | 0.0844 | |||
| Jensen Alpha | 0.0371 | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | (0.11) | |||
| Treynor Ratio | 0.5122 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Sparinvest SICAV'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.
Sparinvest SICAV Procedo Backtested Returns
We consider Sparinvest SICAV very steady. Sparinvest SICAV Procedo owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.13, which indicates the fund had a 0.13% return per unit of risk over the last 3 months. We have found twenty-four technical indicators for Sparinvest SICAV Procedo, which you can use to evaluate the volatility of the fund. Please validate Sparinvest SICAV's Semi Deviation of 0.0906, coefficient of variation of 684.64, and Risk Adjusted Performance of 0.0844 to confirm if the risk estimate we provide is consistent with the expected return of 0.048%. The entity has a beta of 0.0868, which indicates not very significant fluctuations relative to the market. As returns on the market increase, Sparinvest SICAV's returns are expected to increase less than the market. However, during the bear market, the loss of holding Sparinvest SICAV is expected to be smaller as well.
Auto-correlation | 0.92 |
Excellent predictability
Sparinvest SICAV Procedo has excellent predictability. Overlapping area represents the amount of predictability between Sparinvest SICAV time series from 27th of October 2023 to 25th of January 2024 and 25th of January 2024 to 24th 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 Sparinvest SICAV Procedo price movement. The serial correlation of 0.92 indicates that approximately 92.0% of current Sparinvest SICAV price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.92 | |
| Spearman Rank Test | 0.83 | |
| Residual Average | 0.0 | |
| Price Variance | 11.67 |
Sparinvest SICAV Procedo lagged returns against current returns
Autocorrelation, which is Sparinvest SICAV fund'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 Sparinvest SICAV's fund expected returns. We can calculate the autocorrelation of Sparinvest SICAV returns to help us make a trade decision. For example, suppose you find that Sparinvest SICAV has exhibited high autocorrelation historically, and you observe that the fund 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 |
Sparinvest SICAV 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 Sparinvest SICAV fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Sparinvest SICAV fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Sparinvest SICAV fund over time.
Current vs Lagged Prices |
| Timeline |
Sparinvest SICAV Lagged Returns
When evaluating Sparinvest SICAV's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Sparinvest SICAV fund have on its future price. Sparinvest SICAV 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, Sparinvest SICAV autocorrelation shows the relationship between Sparinvest SICAV fund current value and its past values and can show if there is a momentum factor associated with investing in Sparinvest SICAV Procedo.
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 Sparinvest SICAV 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, Sparinvest SICAV's short interest history, or implied volatility extrapolated from Sparinvest SICAV options trading.
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Check out Sparinvest SICAV Correlation, Sparinvest SICAV Volatility and Sparinvest SICAV Alpha and Beta module to complement your research on Sparinvest SICAV. Note that the Sparinvest SICAV Procedo information on this page should be used as a complementary analysis to other Sparinvest SICAV's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Portfolio Holdings module to check your current holdings and cash postion to detemine if your portfolio needs rebalancing.
Sparinvest SICAV technical fund 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, fund market cycles, or different charting patterns.