SunPower (Germany) Market Value
| S9P2 Stock | EUR 1.85 0.16 7.96% |
| Symbol | SunPower |
SunPower '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 SunPower'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 SunPower.
| 03/26/2024 |
| 04/25/2024 |
If you would invest 0.00 in SunPower on March 26, 2024 and sell it all today you would earn a total of 0.00 from holding SunPower or generate 0.0% return on investment in SunPower over 30 days. SunPower is related to or competes with Xinyi Solar, and SMA Solar. SunPower Corporation researches, develops, manufactures, and delivers solar solutions worldwide More
SunPower 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 SunPower'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 SunPower upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.03) | |||
| Maximum Drawdown | 61.29 | |||
| Value At Risk | (7.41) | |||
| Potential Upside | 12.11 |
SunPower Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SunPower's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SunPower's standard deviation. In reality, there are many statistical measures that can use SunPower historical prices to predict the future SunPower's volatility.| Risk Adjusted Performance | (0) | |||
| Jensen Alpha | (0.39) | |||
| Total Risk Alpha | (1.19) | |||
| Treynor Ratio | (0.06) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of SunPower'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.
SunPower Backtested Returns
SunPower owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0654, which indicates the firm had a -0.0654% return per unit of risk over the last 3 months. SunPower exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate SunPower's Risk Adjusted Performance of (0), variance of 56.15, and Coefficient Of Variation of (4,917) to confirm the risk estimate we provide. The entity has a beta of 2.62, which indicates a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, SunPower will likely underperform. SunPower has an expected return of -0.49%. Please make sure to validate SunPower maximum drawdown, potential upside, kurtosis, as well as the relationship between the value at risk and skewness , to decide if SunPower performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.29 |
Poor predictability
SunPower has poor predictability. Overlapping area represents the amount of predictability between SunPower time series from 26th of March 2024 to 10th of April 2024 and 10th of April 2024 to 25th 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 SunPower price movement. The serial correlation of 0.29 indicates that nearly 29.0% of current SunPower price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.29 | |
| Spearman Rank Test | 0.28 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
SunPower lagged returns against current returns
Autocorrelation, which is SunPower 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 SunPower's stock expected returns. We can calculate the autocorrelation of SunPower returns to help us make a trade decision. For example, suppose you find that SunPower 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 |
SunPower 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 SunPower stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SunPower stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SunPower stock over time.
Current vs Lagged Prices |
| Timeline |
SunPower Lagged Returns
When evaluating SunPower's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SunPower stock have on its future price. SunPower 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, SunPower autocorrelation shows the relationship between SunPower stock current value and its past values and can show if there is a momentum factor associated with investing in SunPower.
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 SunPower 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, SunPower's short interest history, or implied volatility extrapolated from SunPower options trading.
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When determining whether SunPower is a strong investment it is important to analyze SunPower's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact SunPower's future performance. For an informed investment choice regarding SunPower Stock, refer to the following important reports:Check out SunPower Correlation, SunPower Volatility and SunPower Alpha and Beta module to complement your research on SunPower. For more detail on how to invest in SunPower Stock please use our How to Invest in SunPower guide.You can also try the Equity Valuation module to check real value of public entities based on technical and fundamental data.
Complementary Tools for SunPower Stock analysis
When running SunPower's price analysis, check to measure SunPower'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 SunPower is operating at the current time. Most of SunPower's value examination focuses on studying past and present price action to predict the probability of SunPower's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move SunPower's price. Additionally, you may evaluate how the addition of SunPower to your portfolios can decrease your overall portfolio volatility.
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SunPower 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.