Akoya Biosciences Stock Market Value
AKYA Stock | USD 2.14 0.06 2.73% |
Symbol | Akoya |
Akoya Biosciences Price To Book Ratio
Is Health Care Equipment & Supplies 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 Akoya Biosciences. If investors know Akoya 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 Akoya Biosciences listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share (1.16) | Revenue Per Share 1.889 | Quarterly Revenue Growth (0.01) | Return On Assets (0.18) | Return On Equity (1.28) |
The market value of Akoya Biosciences is measured differently than its book value, which is the value of Akoya that is recorded on the company's balance sheet. Investors also form their own opinion of Akoya Biosciences' value that differs from its market value or its book value, called intrinsic value, which is Akoya Biosciences' 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 Akoya Biosciences' market value can be influenced by many factors that don't directly affect Akoya Biosciences' 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 Akoya Biosciences' value and its price as these two are different measures arrived at by different means. Investors typically determine if Akoya Biosciences is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Akoya Biosciences' 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.
Akoya Biosciences '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 Akoya Biosciences' 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 Akoya Biosciences.
06/02/2024 |
| 11/29/2024 |
If you would invest 0.00 in Akoya Biosciences on June 2, 2024 and sell it all today you would earn a total of 0.00 from holding Akoya Biosciences or generate 0.0% return on investment in Akoya Biosciences over 180 days. Akoya Biosciences is related to or competes with AtriCure, ICU Medical, Haemonetics, AngioDynamics, AptarGroup, Cooper Companies,, and InfuSystems Holdings. Akoya Biosciences, Inc., a life sciences technology company, provides spatial biology solutions focused on transforming ... More
Akoya Biosciences 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 Akoya Biosciences' 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 Akoya Biosciences upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | (0.03) | |||
Maximum Drawdown | 40.94 | |||
Value At Risk | (4.96) | |||
Potential Upside | 8.59 |
Akoya Biosciences Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Akoya Biosciences' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Akoya Biosciences' standard deviation. In reality, there are many statistical measures that can use Akoya Biosciences historical prices to predict the future Akoya Biosciences' volatility.Risk Adjusted Performance | 2.0E-4 | |||
Jensen Alpha | (0.34) | |||
Total Risk Alpha | (0.92) | |||
Treynor Ratio | (0.03) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Akoya Biosciences' 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.
Akoya Biosciences Backtested Returns
Akoya Biosciences secures Sharpe Ratio (or Efficiency) of -0.0011, which signifies that the company had a -0.0011% return per unit of risk over the last 3 months. Akoya Biosciences exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Akoya Biosciences' Mean Deviation of 3.85, standard deviation of 5.65, and Risk Adjusted Performance of 2.0E-4 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 2.3, which signifies 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, Akoya Biosciences will likely underperform. At this point, Akoya Biosciences has a negative expected return of -0.0062%. Please make sure to confirm Akoya Biosciences' value at risk, as well as the relationship between the accumulation distribution and day typical price , to decide if Akoya Biosciences performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.19 |
Insignificant reverse predictability
Akoya Biosciences has insignificant reverse predictability. Overlapping area represents the amount of predictability between Akoya Biosciences time series from 2nd of June 2024 to 31st of August 2024 and 31st of August 2024 to 29th of November 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 Akoya Biosciences price movement. The serial correlation of -0.19 indicates that over 19.0% of current Akoya Biosciences price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.19 | |
Spearman Rank Test | 0.03 | |
Residual Average | 0.0 | |
Price Variance | 0.12 |
Akoya Biosciences lagged returns against current returns
Autocorrelation, which is Akoya Biosciences 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 Akoya Biosciences' stock expected returns. We can calculate the autocorrelation of Akoya Biosciences returns to help us make a trade decision. For example, suppose you find that Akoya Biosciences 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 |
Akoya Biosciences 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 Akoya Biosciences stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Akoya Biosciences stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Akoya Biosciences stock over time.
Current vs Lagged Prices |
Timeline |
Akoya Biosciences Lagged Returns
When evaluating Akoya Biosciences' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Akoya Biosciences stock have on its future price. Akoya Biosciences 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, Akoya Biosciences autocorrelation shows the relationship between Akoya Biosciences stock current value and its past values and can show if there is a momentum factor associated with investing in Akoya Biosciences.
Regressed Prices |
Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.When determining whether Akoya Biosciences offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Akoya Biosciences' financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Akoya Biosciences Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Akoya Biosciences Stock:Check out Akoya Biosciences Correlation, Akoya Biosciences Volatility and Akoya Biosciences Alpha and Beta module to complement your research on Akoya Biosciences. For information on how to trade Akoya Stock refer to our How to Trade Akoya Stock 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.
Akoya Biosciences 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.