Spotify Technology (Brazil) Market Value
| S1PO34 Stock | BRL 362.25 1.75 0.48% |
| Symbol | Spotify |
Spotify Technology '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 Spotify Technology'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 Spotify Technology.
| 04/01/2024 |
| 05/01/2024 |
If you would invest 0.00 in Spotify Technology on April 1, 2024 and sell it all today you would earn a total of 0.00 from holding Spotify Technology SA or generate 0.0% return on investment in Spotify Technology over 30 days. Spotify Technology is related to or competes with Teladoc Health, Paycom Software, Waste Management, Delta Air, MAHLE Metal, and Salesforce. Spotify Technology S.A., together with its subsidiaries, provides audio streaming services worldwide More
Spotify Technology 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 Spotify Technology'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 Spotify Technology SA upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.69 | |||
| Information Ratio | 0.1759 | |||
| Maximum Drawdown | 16.63 | |||
| Value At Risk | (3.12) | |||
| Potential Upside | 4.43 |
Spotify Technology Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Spotify Technology's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Spotify Technology's standard deviation. In reality, there are many statistical measures that can use Spotify Technology historical prices to predict the future Spotify Technology's volatility.| Risk Adjusted Performance | 0.1342 | |||
| Jensen Alpha | 0.554 | |||
| Total Risk Alpha | 0.3244 | |||
| Sortino Ratio | 0.1817 | |||
| Treynor Ratio | (1.77) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Spotify Technology'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.
Spotify Technology Backtested Returns
Spotify Technology appears to be very steady, given 3 months investment horizon. Spotify Technology owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.19, which indicates the firm had a 0.19% return per unit of risk over the last 3 months. By inspecting Spotify Technology's technical indicators, you can evaluate if the expected return of 0.53% is justified by implied risk. Please review Spotify Technology's Risk Adjusted Performance of 0.1342, semi deviation of 2.21, and Coefficient Of Variation of 507.05 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Spotify Technology holds a performance score of 14. The entity has a beta of -0.31, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Spotify Technology are expected to decrease at a much lower rate. During the bear market, Spotify Technology is likely to outperform the market. Please check Spotify Technology's treynor ratio, value at risk, and the relationship between the sortino ratio and maximum drawdown , to make a quick decision on whether Spotify Technology's existing price patterns will revert.
Auto-correlation | -0.65 |
Very good reverse predictability
Spotify Technology SA has very good reverse predictability. Overlapping area represents the amount of predictability between Spotify Technology time series from 1st of April 2024 to 16th of April 2024 and 16th of April 2024 to 1st of May 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 Spotify Technology price movement. The serial correlation of -0.65 indicates that roughly 65.0% of current Spotify Technology price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.65 | |
| Spearman Rank Test | 0.15 | |
| Residual Average | 0.0 | |
| Price Variance | 173.02 |
Spotify Technology lagged returns against current returns
Autocorrelation, which is Spotify Technology 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 Spotify Technology's stock expected returns. We can calculate the autocorrelation of Spotify Technology returns to help us make a trade decision. For example, suppose you find that Spotify Technology 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 |
Spotify Technology 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 Spotify Technology stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Spotify Technology stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Spotify Technology stock over time.
Current vs Lagged Prices |
| Timeline |
Spotify Technology Lagged Returns
When evaluating Spotify Technology's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Spotify Technology stock have on its future price. Spotify Technology 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, Spotify Technology autocorrelation shows the relationship between Spotify Technology stock current value and its past values and can show if there is a momentum factor associated with investing in Spotify Technology SA.
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 Spotify Technology 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, Spotify Technology's short interest history, or implied volatility extrapolated from Spotify Technology options trading.
Currently Active Assets on Macroaxis
When determining whether Spotify Technology is a good investment, qualitative aspects like company management, corporate governance, and ethical practices play a significant role. A comparison with peer companies also provides context and helps to understand if Spotify Stock is undervalued or overvalued. This multi-faceted approach, blending both quantitative and qualitative analysis, forms a solid foundation for making an informed investment decision about Spotify Technology Sa Stock. Highlighted below are key reports to facilitate an investment decision about Spotify Technology Sa Stock:Check out Spotify Technology Correlation, Spotify Technology Volatility and Spotify Technology Alpha and Beta module to complement your research on Spotify Technology. Note that the Spotify Technology information on this page should be used as a complementary analysis to other Spotify Technology'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 Share Portfolio module to track or share privately all of your investments from the convenience of any device.
Complementary Tools for Spotify Stock analysis
When running Spotify Technology's price analysis, check to measure Spotify Technology'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 Spotify Technology is operating at the current time. Most of Spotify Technology's value examination focuses on studying past and present price action to predict the probability of Spotify Technology's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Spotify Technology's price. Additionally, you may evaluate how the addition of Spotify Technology to your portfolios can decrease your overall portfolio volatility.
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Spotify Technology 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.