Ethan Allen Interiors Stock Market Value
ETD Stock | USD 31.82 0.56 1.79% |
Symbol | Ethan |
Ethan Allen Interiors Price To Book Ratio
Is Ethan Allen'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 Ethan Allen. If investors know Ethan 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 Ethan Allen 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 (0.38) | Dividend Share 1.4 | Earnings Share 3.12 | Revenue Per Share 27.644 | Quarterly Revenue Growth (0.18) |
The market value of Ethan Allen Interiors is measured differently than its book value, which is the value of Ethan that is recorded on the company's balance sheet. Investors also form their own opinion of Ethan Allen's value that differs from its market value or its book value, called intrinsic value, which is Ethan Allen'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 Ethan Allen's market value can be influenced by many factors that don't directly affect Ethan Allen'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 Ethan Allen's value and its price as these two are different measures arrived at by different means. Investors typically determine if Ethan Allen is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Ethan Allen'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.
Ethan Allen '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 Ethan Allen'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 Ethan Allen.
03/20/2024 |
| 04/19/2024 |
If you would invest 0.00 in Ethan Allen on March 20, 2024 and sell it all today you would earn a total of 0.00 from holding Ethan Allen Interiors or generate 0.0% return on investment in Ethan Allen over 30 days. Ethan Allen is related to or competes with Bassett Furniture, Natuzzi SpA, Flexsteel Industries, Hamilton Beach, and Hooker Furniture. Ethan Allen Interiors Inc. operates as an interior design company, and manufacturer and retailer of home furnishings in ... More
Ethan Allen 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 Ethan Allen'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 Ethan Allen Interiors upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 1.77 | |||
Information Ratio | 0.0545 | |||
Maximum Drawdown | 8.02 | |||
Value At Risk | (2.70) | |||
Potential Upside | 2.75 |
Ethan Allen Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Ethan Allen's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Ethan Allen's standard deviation. In reality, there are many statistical measures that can use Ethan Allen historical prices to predict the future Ethan Allen's volatility.Risk Adjusted Performance | 0.0652 | |||
Jensen Alpha | 0.0478 | |||
Total Risk Alpha | (0.01) | |||
Sortino Ratio | 0.0521 | |||
Treynor Ratio | 0.0859 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Ethan Allen'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.
Ethan Allen Interiors Backtested Returns
We consider Ethan Allen very steady. Ethan Allen Interiors secures Sharpe Ratio (or Efficiency) of 0.0623, which denotes the company had a 0.0623% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Ethan Allen Interiors, which you can use to evaluate the volatility of the firm. Please confirm Ethan Allen's Coefficient Of Variation of 1050.76, downside deviation of 1.77, and Mean Deviation of 1.32 to check if the risk estimate we provide is consistent with the expected return of 0.11%. Ethan Allen has a performance score of 4 on a scale of 0 to 100. The firm shows a Beta (market volatility) of 1.75, 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, Ethan Allen will likely underperform. Ethan Allen Interiors right now shows a risk of 1.68%. Please confirm Ethan Allen Interiors jensen alpha, semi variance, day typical price, as well as the relationship between the maximum drawdown and accumulation distribution , to decide if Ethan Allen Interiors will be following its price patterns.
Auto-correlation | -0.09 |
Very weak reverse predictability
Ethan Allen Interiors has very weak reverse predictability. Overlapping area represents the amount of predictability between Ethan Allen time series from 20th of March 2024 to 4th of April 2024 and 4th of April 2024 to 19th 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 Ethan Allen Interiors price movement. The serial correlation of -0.09 indicates that less than 9.0% of current Ethan Allen price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.09 | |
Spearman Rank Test | 0.15 | |
Residual Average | 0.0 | |
Price Variance | 0.71 |
Ethan Allen Interiors lagged returns against current returns
Autocorrelation, which is Ethan Allen 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 Ethan Allen's stock expected returns. We can calculate the autocorrelation of Ethan Allen returns to help us make a trade decision. For example, suppose you find that Ethan Allen 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 |
Ethan Allen 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 Ethan Allen stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Ethan Allen stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Ethan Allen stock over time.
Current vs Lagged Prices |
Timeline |
Ethan Allen Lagged Returns
When evaluating Ethan Allen's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Ethan Allen stock have on its future price. Ethan Allen 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, Ethan Allen autocorrelation shows the relationship between Ethan Allen stock current value and its past values and can show if there is a momentum factor associated with investing in Ethan Allen Interiors.
Regressed Prices |
Timeline |
Pair Trading with Ethan Allen
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 Ethan Allen 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 Ethan Allen will appreciate offsetting losses from the drop in the long position's value.Moving together with Ethan Stock
0.77 | SN | SharkNinja | PairCorr |
0.8 | FLXS | Flexsteel Industries Financial Report 6th of May 2024 | PairCorr |
Moving against Ethan Stock
0.79 | VIOT | Viomi Technology ADR | PairCorr |
0.74 | IRBT | iRobot Sell-off Trend | PairCorr |
0.72 | LEG | Leggett Platt rporated Buyout Trend | PairCorr |
0.66 | NCL | Northann Corp | PairCorr |
0.48 | NTZ | Natuzzi SpA | PairCorr |
The ability to find closely correlated positions to Ethan Allen could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Ethan Allen 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 Ethan Allen - 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 Ethan Allen Interiors to buy it.
The correlation of Ethan Allen 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 Ethan Allen moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Ethan Allen Interiors 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 Ethan Allen 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 Ethan Allen Correlation, Ethan Allen Volatility and Ethan Allen Alpha and Beta module to complement your research on Ethan Allen. You can also try the Commodity Directory module to find actively traded commodities issued by global exchanges.
Complementary Tools for Ethan Stock analysis
When running Ethan Allen's price analysis, check to measure Ethan Allen'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 Ethan Allen is operating at the current time. Most of Ethan Allen's value examination focuses on studying past and present price action to predict the probability of Ethan Allen's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Ethan Allen's price. Additionally, you may evaluate how the addition of Ethan Allen to your portfolios can decrease your overall portfolio volatility.
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Ethan Allen 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.