Spinnova (Finland) Market Value
SPINN Stock | 0.88 0.05 5.38% |
Symbol | Spinnova |
Spinnova '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 Spinnova'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 Spinnova.
10/27/2024 |
| 11/26/2024 |
If you would invest 0.00 in Spinnova on October 27, 2024 and sell it all today you would earn a total of 0.00 from holding Spinnova Oy or generate 0.0% return on investment in Spinnova over 30 days. Spinnova is related to or competes with Qt Group, Kempower Oyj, Harvia Oyj, Nordea Bank, and Sampo Oyj. More
Spinnova 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 Spinnova'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 Spinnova Oy upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | (0.36) | |||
Maximum Drawdown | 14.98 | |||
Value At Risk | (4.41) | |||
Potential Upside | 3.08 |
Spinnova Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Spinnova's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Spinnova's standard deviation. In reality, there are many statistical measures that can use Spinnova historical prices to predict the future Spinnova's volatility.Risk Adjusted Performance | (0.23) | |||
Jensen Alpha | (0.76) | |||
Total Risk Alpha | (1.20) | |||
Treynor Ratio | 1.96 |
Spinnova Oy Backtested Returns
Spinnova Oy owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.34, which indicates the firm had a -0.34% return per unit of risk over the last 3 months. Spinnova Oy exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Spinnova's Risk Adjusted Performance of (0.23), coefficient of variation of (319.39), and Variance of 6.45 to confirm the risk estimate we provide. The entity has a beta of -0.41, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Spinnova are expected to decrease at a much lower rate. During the bear market, Spinnova is likely to outperform the market. At this point, Spinnova Oy has a negative expected return of -0.9%. Please make sure to validate Spinnova's potential upside, as well as the relationship between the rate of daily change and relative strength index , to decide if Spinnova Oy performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.94 |
Excellent predictability
Spinnova Oy has excellent predictability. Overlapping area represents the amount of predictability between Spinnova time series from 27th of October 2024 to 11th of November 2024 and 11th of November 2024 to 26th of November 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 Spinnova Oy price movement. The serial correlation of 0.94 indicates that approximately 94.0% of current Spinnova price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.94 | |
Spearman Rank Test | 0.95 | |
Residual Average | 0.0 | |
Price Variance | 0.02 |
Spinnova Oy lagged returns against current returns
Autocorrelation, which is Spinnova 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 Spinnova's stock expected returns. We can calculate the autocorrelation of Spinnova returns to help us make a trade decision. For example, suppose you find that Spinnova 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 |
Spinnova 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 Spinnova stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Spinnova stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Spinnova stock over time.
Current vs Lagged Prices |
Timeline |
Spinnova Lagged Returns
When evaluating Spinnova's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Spinnova stock have on its future price. Spinnova 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, Spinnova autocorrelation shows the relationship between Spinnova stock current value and its past values and can show if there is a momentum factor associated with investing in Spinnova Oy.
Regressed Prices |
Timeline |
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Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Other Information on Investing in Spinnova Stock
Spinnova financial ratios help investors to determine whether Spinnova Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Spinnova with respect to the benefits of owning Spinnova security.