Cassava Sciences Stock Market Value
| SAVA Stock | USD 3.98 0.15 3.92% |
| Symbol | Cassava |
Cassava Sciences Price To Book Ratio
Is Pharmaceuticals 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 Cassava Sciences. If investors know Cassava 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 Cassava Sciences listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share (1.38) | Return On Assets (0.46) | Return On Equity (0.11) |
The market value of Cassava Sciences is measured differently than its book value, which is the value of Cassava that is recorded on the company's balance sheet. Investors also form their own opinion of Cassava Sciences' value that differs from its market value or its book value, called intrinsic value, which is Cassava Sciences' 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 Cassava Sciences' market value can be influenced by many factors that don't directly affect Cassava Sciences' 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 Cassava Sciences' value and its price as these two are different measures arrived at by different means. Investors typically determine if Cassava Sciences is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Cassava Sciences' 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.
Cassava Sciences '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 Cassava Sciences' 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 Cassava Sciences.
| 10/28/2024 |
| 11/27/2024 |
If you would invest 0.00 in Cassava Sciences on October 28, 2024 and sell it all today you would earn a total of 0.00 from holding Cassava Sciences or generate 0.0% return on investment in Cassava Sciences over 30 days. Cassava Sciences is related to or competes with Annovis Bio, Axsome Therapeutics, Reviva Pharmaceuticals, Seres Therapeutics, Anavex Life, INmune Bio, and Biovie. Cassava Sciences, Inc., a clinical stage biotechnology company, develops drugs for neurodegenerative diseases More
Cassava Sciences 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 Cassava Sciences' 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 Cassava Sciences upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.13) | |||
| Maximum Drawdown | 107.29 | |||
| Value At Risk | (10.61) | |||
| Potential Upside | 9.51 |
Cassava Sciences Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Cassava Sciences' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Cassava Sciences' standard deviation. In reality, there are many statistical measures that can use Cassava Sciences historical prices to predict the future Cassava Sciences' volatility.| Risk Adjusted Performance | (0.08) | |||
| Jensen Alpha | (1.49) | |||
| Total Risk Alpha | (3.33) | |||
| Treynor Ratio | (6.78) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Cassava Sciences' 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.
Cassava Sciences Backtested Returns
Cassava Sciences secures Sharpe Ratio (or Efficiency) of -0.12, which signifies that the company had a -0.12% return per unit of risk over the last 3 months. Cassava Sciences exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Cassava Sciences' Standard Deviation of 11.86, risk adjusted performance of (0.08), and Mean Deviation of 5.4 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 0.22, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Cassava Sciences' returns are expected to increase less than the market. However, during the bear market, the loss of holding Cassava Sciences is expected to be smaller as well. At this point, Cassava Sciences has a negative expected return of -1.44%. Please make sure to confirm Cassava Sciences' value at risk, accumulation distribution, as well as the relationship between the Accumulation Distribution and day typical price , to decide if Cassava Sciences performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.44 |
Modest reverse predictability
Cassava Sciences has modest reverse predictability. Overlapping area represents the amount of predictability between Cassava Sciences time series from 28th of October 2024 to 12th of November 2024 and 12th of November 2024 to 27th 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 Cassava Sciences price movement. The serial correlation of -0.44 indicates that just about 44.0% of current Cassava Sciences price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.44 | |
| Spearman Rank Test | -0.13 | |
| Residual Average | 0.0 | |
| Price Variance | 103.88 |
Cassava Sciences lagged returns against current returns
Autocorrelation, which is Cassava Sciences 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 Cassava Sciences' stock expected returns. We can calculate the autocorrelation of Cassava Sciences returns to help us make a trade decision. For example, suppose you find that Cassava Sciences 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 |
Cassava Sciences 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 Cassava Sciences stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Cassava Sciences stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Cassava Sciences stock over time.
Current vs Lagged Prices |
| Timeline |
Cassava Sciences Lagged Returns
When evaluating Cassava Sciences' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Cassava Sciences stock have on its future price. Cassava Sciences 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, Cassava Sciences autocorrelation shows the relationship between Cassava Sciences stock current value and its past values and can show if there is a momentum factor associated with investing in Cassava Sciences.
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 Cassava Sciences offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Cassava Sciences' 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 Cassava Sciences Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Cassava Sciences Stock:Check out Cassava Sciences Correlation, Cassava Sciences Volatility and Cassava Sciences Alpha and Beta module to complement your research on Cassava Sciences. For information on how to trade Cassava Stock refer to our How to Trade Cassava Stock guide.You can also try the Cryptocurrency Center module to build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency.
Cassava Sciences 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.