Kewaunee Scientific Stock Market Value
KEQU Stock | USD 36.20 0.20 0.55% |
Symbol | Kewaunee |
Kewaunee Scientific Price To Book Ratio
Is Kewaunee Scientific'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 Kewaunee Scientific. If investors know Kewaunee 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 Kewaunee Scientific 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 2.4 | Earnings Share 2.98 | Revenue Per Share 70.018 | Quarterly Revenue Growth (0.23) | Return On Assets 0.077 |
The market value of Kewaunee Scientific is measured differently than its book value, which is the value of Kewaunee that is recorded on the company's balance sheet. Investors also form their own opinion of Kewaunee Scientific's value that differs from its market value or its book value, called intrinsic value, which is Kewaunee Scientific'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 Kewaunee Scientific's market value can be influenced by many factors that don't directly affect Kewaunee Scientific'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 Kewaunee Scientific's value and its price as these two are different measures arrived at by different means. Investors typically determine if Kewaunee Scientific is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Kewaunee Scientific'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.
Kewaunee Scientific '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 Kewaunee Scientific'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 Kewaunee Scientific.
03/26/2024 |
| 04/25/2024 |
If you would invest 0.00 in Kewaunee Scientific on March 26, 2024 and sell it all today you would earn a total of 0.00 from holding Kewaunee Scientific or generate 0.0% return on investment in Kewaunee Scientific over 30 days. Kewaunee Scientific is related to or competes with Hamilton Beach, Mohawk Industries, Whirlpool, IRobot, Bassett Furniture, Hooker Furniture, and Natuzzi SpA. Kewaunee Scientific Corporation designs, manufactures, and installs laboratory, healthcare, and technical furniture and ... More
Kewaunee Scientific 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 Kewaunee Scientific'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 Kewaunee Scientific upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 1.82 | |||
Information Ratio | 0.1615 | |||
Maximum Drawdown | 7.99 | |||
Value At Risk | (2.87) | |||
Potential Upside | 3.75 |
Kewaunee Scientific Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Kewaunee Scientific's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Kewaunee Scientific's standard deviation. In reality, there are many statistical measures that can use Kewaunee Scientific historical prices to predict the future Kewaunee Scientific's volatility.Risk Adjusted Performance | 0.1384 | |||
Jensen Alpha | 0.3795 | |||
Total Risk Alpha | 0.1328 | |||
Sortino Ratio | 0.171 | |||
Treynor Ratio | 2.02 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Kewaunee Scientific'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.
Kewaunee Scientific Backtested Returns
Kewaunee Scientific appears to be very steady, given 3 months investment horizon. Kewaunee Scientific has Sharpe Ratio of 0.19, which conveys that the firm had a 0.19% return per unit of risk over the last 3 months. We have found thirty technical indicators for Kewaunee Scientific, which you can use to evaluate the volatility of the firm. Please exercise Kewaunee Scientific's Downside Deviation of 1.82, mean deviation of 1.53, and Risk Adjusted Performance of 0.1384 to check out if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Kewaunee Scientific holds a performance score of 15. The company secures a Beta (Market Risk) of 0.2, which conveys not very significant fluctuations relative to the market. As returns on the market increase, Kewaunee Scientific's returns are expected to increase less than the market. However, during the bear market, the loss of holding Kewaunee Scientific is expected to be smaller as well. Please check Kewaunee Scientific's semi variance, as well as the relationship between the rate of daily change and relative strength index , to make a quick decision on whether Kewaunee Scientific's current price movements will revert.
Auto-correlation | 0.35 |
Below average predictability
Kewaunee Scientific has below average predictability. Overlapping area represents the amount of predictability between Kewaunee Scientific 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 Kewaunee Scientific price movement. The serial correlation of 0.35 indicates that nearly 35.0% of current Kewaunee Scientific price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.35 | |
Spearman Rank Test | 0.33 | |
Residual Average | 0.0 | |
Price Variance | 0.36 |
Kewaunee Scientific lagged returns against current returns
Autocorrelation, which is Kewaunee Scientific 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 Kewaunee Scientific's stock expected returns. We can calculate the autocorrelation of Kewaunee Scientific returns to help us make a trade decision. For example, suppose you find that Kewaunee Scientific 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 |
Kewaunee Scientific 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 Kewaunee Scientific stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Kewaunee Scientific stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Kewaunee Scientific stock over time.
Current vs Lagged Prices |
Timeline |
Kewaunee Scientific Lagged Returns
When evaluating Kewaunee Scientific's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Kewaunee Scientific stock have on its future price. Kewaunee Scientific 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, Kewaunee Scientific autocorrelation shows the relationship between Kewaunee Scientific stock current value and its past values and can show if there is a momentum factor associated with investing in Kewaunee Scientific.
Regressed Prices |
Timeline |
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Try AI Portfolio ArchitectCheck out Kewaunee Scientific Correlation, Kewaunee Scientific Volatility and Kewaunee Scientific Alpha and Beta module to complement your research on Kewaunee Scientific. For more information on how to buy Kewaunee Stock please use our How to Invest in Kewaunee Scientific guide.You can also try the Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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When running Kewaunee Scientific's price analysis, check to measure Kewaunee Scientific'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 Kewaunee Scientific is operating at the current time. Most of Kewaunee Scientific's value examination focuses on studying past and present price action to predict the probability of Kewaunee Scientific's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Kewaunee Scientific's price. Additionally, you may evaluate how the addition of Kewaunee Scientific to your portfolios can decrease your overall portfolio volatility.
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Kewaunee Scientific 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.