Solaredge Technologies Stock Market Value
SEDG Stock | USD 15.80 0.94 6.33% |
Symbol | SolarEdge |
SolarEdge Technologies Price To Book Ratio
Is Semiconductors & Semiconductor Equipment space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of SolarEdge Technologies. If investors know SolarEdge will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about SolarEdge Technologies listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth 6.598 | Earnings Share (29.10) | Revenue Per Share 18.382 | Quarterly Revenue Growth (0.64) | Return On Assets (0.22) |
The market value of SolarEdge Technologies is measured differently than its book value, which is the value of SolarEdge that is recorded on the company's balance sheet. Investors also form their own opinion of SolarEdge Technologies' value that differs from its market value or its book value, called intrinsic value, which is SolarEdge Technologies' true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because SolarEdge Technologies' market value can be influenced by many factors that don't directly affect SolarEdge Technologies' underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between SolarEdge Technologies' value and its price as these two are different measures arrived at by different means. Investors typically determine if SolarEdge Technologies is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, SolarEdge Technologies' 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.
SolarEdge Technologies '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 SolarEdge Technologies' 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 SolarEdge Technologies.
06/04/2024 |
| 12/01/2024 |
If you would invest 0.00 in SolarEdge Technologies on June 4, 2024 and sell it all today you would earn a total of 0.00 from holding SolarEdge Technologies or generate 0.0% return on investment in SolarEdge Technologies over 180 days. SolarEdge Technologies is related to or competes with First Solar, Sunrun, Canadian Solar, Enphase Energy, Sunnova Energy, JinkoSolar Holding, and Maxeon Solar. SolarEdge Technologies, Inc., together with its subsidiaries, designs, develops, and sells direct current optimized inve... More
SolarEdge Technologies 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 SolarEdge Technologies' 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 SolarEdge Technologies upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | (0.1) | |||
Maximum Drawdown | 33.63 | |||
Value At Risk | (10.53) | |||
Potential Upside | 8.55 |
SolarEdge Technologies Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SolarEdge Technologies' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SolarEdge Technologies' standard deviation. In reality, there are many statistical measures that can use SolarEdge Technologies historical prices to predict the future SolarEdge Technologies' volatility.Risk Adjusted Performance | (0.05) | |||
Jensen Alpha | (0.61) | |||
Total Risk Alpha | (1.63) | |||
Treynor Ratio | (0.74) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of SolarEdge Technologies' 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.
SolarEdge Technologies Backtested Returns
SolarEdge Technologies owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.044, which indicates the firm had a -0.044% return per unit of risk over the last 3 months. SolarEdge Technologies exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate SolarEdge Technologies' Variance of 44.52, coefficient of variation of (1,317), and Risk Adjusted Performance of (0.05) to confirm the risk estimate we provide. The entity has a beta of 0.7, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, SolarEdge Technologies' returns are expected to increase less than the market. However, during the bear market, the loss of holding SolarEdge Technologies is expected to be smaller as well. At this point, SolarEdge Technologies has a negative expected return of -0.29%. Please make sure to validate SolarEdge Technologies' value at risk, rate of daily change, relative strength index, as well as the relationship between the kurtosis and market facilitation index , to decide if SolarEdge Technologies performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.38 |
Below average predictability
SolarEdge Technologies has below average predictability. Overlapping area represents the amount of predictability between SolarEdge Technologies time series from 4th of June 2024 to 2nd of September 2024 and 2nd of September 2024 to 1st 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 SolarEdge Technologies price movement. The serial correlation of 0.38 indicates that just about 38.0% of current SolarEdge Technologies price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.38 | |
Spearman Rank Test | 0.45 | |
Residual Average | 0.0 | |
Price Variance | 12.19 |
SolarEdge Technologies lagged returns against current returns
Autocorrelation, which is SolarEdge Technologies 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 SolarEdge Technologies' stock expected returns. We can calculate the autocorrelation of SolarEdge Technologies returns to help us make a trade decision. For example, suppose you find that SolarEdge Technologies 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 |
SolarEdge Technologies 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 SolarEdge Technologies stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SolarEdge Technologies stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SolarEdge Technologies stock over time.
Current vs Lagged Prices |
Timeline |
SolarEdge Technologies Lagged Returns
When evaluating SolarEdge Technologies' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SolarEdge Technologies stock have on its future price. SolarEdge Technologies 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, SolarEdge Technologies autocorrelation shows the relationship between SolarEdge Technologies stock current value and its past values and can show if there is a momentum factor associated with investing in SolarEdge Technologies.
Regressed Prices |
Timeline |
Currently Active Assets on Macroaxis
When determining whether SolarEdge Technologies is a strong investment it is important to analyze SolarEdge Technologies' 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 SolarEdge Technologies' future performance. For an informed investment choice regarding SolarEdge Stock, refer to the following important reports:Check out SolarEdge Technologies Correlation, SolarEdge Technologies Volatility and SolarEdge Technologies Alpha and Beta module to complement your research on SolarEdge Technologies. For more detail on how to invest in SolarEdge Stock please use our How to Invest in SolarEdge Technologies guide.You can also try the Instant Ratings module to determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance.
SolarEdge Technologies 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.