Sernova Corp Stock Market Value
| SEOVF Stock | USD 0.31 0.02 6.06% |
| Symbol | Sernova |
Sernova Corp '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 Sernova Corp's otc 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 Sernova Corp.
| 04/02/2024 |
| 05/02/2024 |
If you would invest 0.00 in Sernova Corp on April 2, 2024 and sell it all today you would earn a total of 0.00 from holding Sernova Corp or generate 0.0% return on investment in Sernova Corp over 30 days. Sernova Corp is related to or competes with Microsoft, Apple, Alphabet, Amazon, and Meta Platforms. Sernova Corp. operates as a clinical-stage regenerative medicine therapeutics company in Canada More
Sernova Corp 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 Sernova Corp's otc 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 Sernova Corp upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.09) | |||
| Maximum Drawdown | 41.56 | |||
| Value At Risk | (7.69) | |||
| Potential Upside | 4.88 |
Sernova Corp Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Sernova Corp's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Sernova Corp's standard deviation. In reality, there are many statistical measures that can use Sernova Corp historical prices to predict the future Sernova Corp's volatility.| Risk Adjusted Performance | (0.05) | |||
| Jensen Alpha | (0.55) | |||
| Total Risk Alpha | (0.96) | |||
| Treynor Ratio | (0.55) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Sernova Corp'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.
Sernova Corp Backtested Returns
Sernova Corp owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0772, which indicates the firm had a -0.0772% return per unit of risk over the last 3 months. Sernova Corp exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Sernova Corp's Risk Adjusted Performance of (0.05), coefficient of variation of (1,186), and Variance of 35.0 to confirm the risk estimate we provide. The entity has a beta of 0.92, which indicates possible diversification benefits within a given portfolio. Sernova Corp returns are very sensitive to returns on the market. As the market goes up or down, Sernova Corp is expected to follow. Sernova Corp has an expected return of -0.47%. Please make sure to validate Sernova Corp maximum drawdown, accumulation distribution, as well as the relationship between the Accumulation Distribution and market facilitation index , to decide if Sernova Corp performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.60 |
Good predictability
Sernova Corp has good predictability. Overlapping area represents the amount of predictability between Sernova Corp time series from 2nd of April 2024 to 17th of April 2024 and 17th of April 2024 to 2nd of May 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 Sernova Corp price movement. The serial correlation of 0.6 indicates that roughly 60.0% of current Sernova Corp price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.6 | |
| Spearman Rank Test | 0.28 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Sernova Corp lagged returns against current returns
Autocorrelation, which is Sernova Corp otc 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 Sernova Corp's otc stock expected returns. We can calculate the autocorrelation of Sernova Corp returns to help us make a trade decision. For example, suppose you find that Sernova Corp has exhibited high autocorrelation historically, and you observe that the otc 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 |
Sernova Corp 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 Sernova Corp otc stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Sernova Corp otc stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Sernova Corp otc stock over time.
Current vs Lagged Prices |
| Timeline |
Sernova Corp Lagged Returns
When evaluating Sernova Corp's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Sernova Corp otc stock have on its future price. Sernova Corp 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, Sernova Corp autocorrelation shows the relationship between Sernova Corp otc stock current value and its past values and can show if there is a momentum factor associated with investing in Sernova Corp.
Regressed Prices |
| Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Sernova Corp in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Sernova Corp's short interest history, or implied volatility extrapolated from Sernova Corp options trading.
Currently Active Assets on Macroaxis
Check out Sernova Corp Correlation, Sernova Corp Volatility and Sernova Corp Alpha and Beta module to complement your research on Sernova Corp. You can also try the Money Managers module to screen money managers from public funds and ETFs managed around the world.
Complementary Tools for Sernova OTC Stock analysis
When running Sernova Corp's price analysis, check to measure Sernova Corp'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 Sernova Corp is operating at the current time. Most of Sernova Corp's value examination focuses on studying past and present price action to predict the probability of Sernova Corp's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Sernova Corp's price. Additionally, you may evaluate how the addition of Sernova Corp to your portfolios can decrease your overall portfolio volatility.
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Sernova Corp technical otc 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, otc market cycles, or different charting patterns.