Enphase Energy Stock Market Value
| ENPH Stock | USD 106.48 2.69 2.46% |
| Symbol | Enphase |
Enphase Energy Price To Book Ratio
Is Enphase Energy's industry 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 Enphase Energy. If investors know Enphase 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 Enphase Energy 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 (0.87) | Earnings Share 3.08 | Revenue Per Share 16.798 | Quarterly Revenue Growth (0.58) | Return On Assets 0.0892 |
The market value of Enphase Energy is measured differently than its book value, which is the value of Enphase that is recorded on the company's balance sheet. Investors also form their own opinion of Enphase Energy's value that differs from its market value or its book value, called intrinsic value, which is Enphase Energy's 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 Enphase Energy's market value can be influenced by many factors that don't directly affect Enphase Energy's 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 Enphase Energy's value and its price as these two are different measures arrived at by different means. Investors typically determine if Enphase Energy is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Enphase Energy's 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.
Enphase Energy '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 Enphase Energy'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 Enphase Energy.
| 03/21/2024 |
| 04/20/2024 |
If you would invest 0.00 in Enphase Energy on March 21, 2024 and sell it all today you would earn a total of 0.00 from holding Enphase Energy or generate 0.0% return on investment in Enphase Energy over 30 days. Enphase Energy is related to or competes with First Solar, Sunrun, Canadian Solar, SunPower, SolarEdge Technologies, Sunnova Energy, and JinkoSolar Holding. Enphase Energy, Inc., together with its subsidiaries, designs, develops, manufactures, and sells home energy solutions f... More
Enphase Energy 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 Enphase Energy'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 Enphase Energy upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 3.3 | |||
| Information Ratio | 0.0016 | |||
| Maximum Drawdown | 23.96 | |||
| Value At Risk | (4.39) | |||
| Potential Upside | 6.52 |
Enphase Energy Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Enphase Energy's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Enphase Energy's standard deviation. In reality, there are many statistical measures that can use Enphase Energy historical prices to predict the future Enphase Energy's volatility.| Risk Adjusted Performance | 0.0224 | |||
| Jensen Alpha | (0.12) | |||
| Total Risk Alpha | (0.42) | |||
| Sortino Ratio | 0.002 | |||
| Treynor Ratio | 0.0312 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Enphase Energy'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.
Enphase Energy Backtested Returns
We consider Enphase Energy very steady. Enphase Energy secures Sharpe Ratio (or Efficiency) of 0.0171, which denotes the company had a 0.0171% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Enphase Energy, which you can use to evaluate the volatility of the firm. Please confirm Enphase Energy's Downside Deviation of 3.3, coefficient of variation of 4414.51, and Mean Deviation of 3.15 to check if the risk estimate we provide is consistent with the expected return of 0.0696%. Enphase Energy has a performance score of 1 on a scale of 0 to 100. The firm shows a Beta (market volatility) of 2.63, which means 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, Enphase Energy will likely underperform. Enphase Energy right now shows a risk of 4.08%. Please confirm Enphase Energy treynor ratio, kurtosis, period momentum indicator, as well as the relationship between the downside variance and day median price , to decide if Enphase Energy will be following its price patterns.
Auto-correlation | -0.13 |
Insignificant reverse predictability
Enphase Energy has insignificant reverse predictability. Overlapping area represents the amount of predictability between Enphase Energy time series from 21st of March 2024 to 5th of April 2024 and 5th of April 2024 to 20th 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 Enphase Energy price movement. The serial correlation of -0.13 indicates that less than 13.0% of current Enphase Energy price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.13 | |
| Spearman Rank Test | 0.03 | |
| Residual Average | 0.0 | |
| Price Variance | 24.06 |
Enphase Energy lagged returns against current returns
Autocorrelation, which is Enphase Energy 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 Enphase Energy's stock expected returns. We can calculate the autocorrelation of Enphase Energy returns to help us make a trade decision. For example, suppose you find that Enphase Energy 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 |
Enphase Energy 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 Enphase Energy stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Enphase Energy stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Enphase Energy stock over time.
Current vs Lagged Prices |
| Timeline |
Enphase Energy Lagged Returns
When evaluating Enphase Energy's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Enphase Energy stock have on its future price. Enphase Energy 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, Enphase Energy autocorrelation shows the relationship between Enphase Energy stock current value and its past values and can show if there is a momentum factor associated with investing in Enphase Energy.
Regressed Prices |
| Timeline |
Pair Trading with Enphase Energy
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Enphase Energy position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Enphase Energy will appreciate offsetting losses from the drop in the long position's value.Moving together with Enphase Stock
| 0.61 | ENTG | Entegris Financial Report 9th of May 2024 | PairCorr |
| 0.84 | ICHR | Ichor Holdings Financial Report 14th of May 2024 | PairCorr |
The ability to find closely correlated positions to Enphase Energy could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Enphase Energy when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Enphase Energy - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Enphase Energy to buy it.
The correlation of Enphase Energy is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Enphase Energy moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Enphase Energy moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Enphase Energy can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Enphase Energy Correlation, Enphase Energy Volatility and Enphase Energy Alpha and Beta module to complement your research on Enphase Energy. For more detail on how to invest in Enphase Stock please use our How to Invest in Enphase Energy guide.You can also try the Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
Complementary Tools for Enphase Stock analysis
When running Enphase Energy's price analysis, check to measure Enphase Energy'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 Enphase Energy is operating at the current time. Most of Enphase Energy's value examination focuses on studying past and present price action to predict the probability of Enphase Energy's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Enphase Energy's price. Additionally, you may evaluate how the addition of Enphase Energy to your portfolios can decrease your overall portfolio volatility.
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Enphase Energy 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.