Sleep Cycle (Sweden) Market Value
| SLEEP Stock | SEK 37.40 0.50 1.36% |
| Symbol | Sleep |
Sleep Cycle '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 Sleep Cycle'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 Sleep Cycle.
| 11/23/2024 |
| 12/23/2024 |
If you would invest 0.00 in Sleep Cycle on November 23, 2024 and sell it all today you would earn a total of 0.00 from holding Sleep Cycle AB or generate 0.0% return on investment in Sleep Cycle over 30 days. Sleep Cycle is related to or competes with Humble Group, Enad Global, Goodbye Kansas, Mekonomen, Embellence Group, AAC Clyde, and Africa Oil. More
Sleep Cycle 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 Sleep Cycle'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 Sleep Cycle AB upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.07) | |||
| Maximum Drawdown | 10.25 | |||
| Value At Risk | (2.97) | |||
| Potential Upside | 4.1 |
Sleep Cycle Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Sleep Cycle's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Sleep Cycle's standard deviation. In reality, there are many statistical measures that can use Sleep Cycle historical prices to predict the future Sleep Cycle's volatility.| Risk Adjusted Performance | (0.04) | |||
| Jensen Alpha | (0.13) | |||
| Total Risk Alpha | (0.18) | |||
| Treynor Ratio | (0.40) |
Sleep Cycle AB Backtested Returns
Sleep Cycle AB owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.11, which indicates the firm had a -0.11% return per unit of risk over the last 3 months. Sleep Cycle AB exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Sleep Cycle's Variance of 4.12, risk adjusted performance of (0.04), and Coefficient Of Variation of (1,762) to confirm the risk estimate we provide. The entity has a beta of 0.31, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, Sleep Cycle's returns are expected to increase less than the market. However, during the bear market, the loss of holding Sleep Cycle is expected to be smaller as well. At this point, Sleep Cycle AB has a negative expected return of -0.21%. Please make sure to validate Sleep Cycle's maximum drawdown, as well as the relationship between the accumulation distribution and market facilitation index , to decide if Sleep Cycle AB performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.92 |
Excellent predictability
Sleep Cycle AB has excellent predictability. Overlapping area represents the amount of predictability between Sleep Cycle time series from 23rd of November 2024 to 8th of December 2024 and 8th of December 2024 to 23rd of December 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 Sleep Cycle AB price movement. The serial correlation of 0.92 indicates that approximately 92.0% of current Sleep Cycle price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.92 | |
| Spearman Rank Test | 0.79 | |
| Residual Average | 0.0 | |
| Price Variance | 1.54 |
Sleep Cycle AB lagged returns against current returns
Autocorrelation, which is Sleep Cycle 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 Sleep Cycle's stock expected returns. We can calculate the autocorrelation of Sleep Cycle returns to help us make a trade decision. For example, suppose you find that Sleep Cycle 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 |
Sleep Cycle 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 Sleep Cycle stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Sleep Cycle stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Sleep Cycle stock over time.
Current vs Lagged Prices |
| Timeline |
Sleep Cycle Lagged Returns
When evaluating Sleep Cycle's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Sleep Cycle stock have on its future price. Sleep Cycle 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, Sleep Cycle autocorrelation shows the relationship between Sleep Cycle stock current value and its past values and can show if there is a momentum factor associated with investing in Sleep Cycle AB.
Regressed Prices |
| Timeline |
Thematic Opportunities
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Additional Tools for Sleep Stock Analysis
When running Sleep Cycle's price analysis, check to measure Sleep Cycle'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 Sleep Cycle is operating at the current time. Most of Sleep Cycle's value examination focuses on studying past and present price action to predict the probability of Sleep Cycle's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Sleep Cycle's price. Additionally, you may evaluate how the addition of Sleep Cycle to your portfolios can decrease your overall portfolio volatility.