Sharp Stock Market Value
| SHCAF Stock | USD 5.85 0.00 0.00% |
| Symbol | Sharp |
Sharp '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 Sharp's pink sheet 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 Sharp.
| 09/03/2024 |
| 12/02/2024 |
If you would invest 0.00 in Sharp on September 3, 2024 and sell it all today you would earn a total of 0.00 from holding Sharp or generate 0.0% return on investment in Sharp over 90 days. Sharp is related to or competes with TCL Electronics, Casio Computer, Xiaomi Corp, Samsung Electronics, LG Display, Sharp Corp, and Sony Group. Sharp Corporation manufactures and sells telecommunication equipment, electric and electronic application equipment, and... More
Sharp 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 Sharp's pink sheet 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 Sharp upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.39) | |||
| Maximum Drawdown | 4.26 |
Sharp Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Sharp's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Sharp's standard deviation. In reality, there are many statistical measures that can use Sharp historical prices to predict the future Sharp's volatility.| Risk Adjusted Performance | (0.1) | |||
| Jensen Alpha | (0.07) | |||
| Total Risk Alpha | (0.16) | |||
| Treynor Ratio | 3.94 |
Sharp Backtested Returns
Sharp owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.12, which indicates the firm had a -0.12% return per unit of risk over the last 3 months. Sharp exposes sixteen different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Sharp's Variance of 0.2744, risk adjusted performance of (0.1), and Coefficient Of Variation of (812.40) to confirm the risk estimate we provide. The entity has a beta of -0.0189, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Sharp are expected to decrease at a much lower rate. During the bear market, Sharp is likely to outperform the market. At this point, Sharp has a negative expected return of -0.0665%. Please make sure to validate Sharp's variance, as well as the relationship between the maximum drawdown and rate of daily change , to decide if Sharp performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.00 |
No correlation between past and present
Sharp has no correlation between past and present. Overlapping area represents the amount of predictability between Sharp time series from 3rd of September 2024 to 18th of October 2024 and 18th of October 2024 to 2nd of December 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 Sharp price movement. The serial correlation of 0.0 indicates that just 0.0% of current Sharp price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | 0.06 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Sharp lagged returns against current returns
Autocorrelation, which is Sharp pink sheet'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 Sharp's pink sheet expected returns. We can calculate the autocorrelation of Sharp returns to help us make a trade decision. For example, suppose you find that Sharp has exhibited high autocorrelation historically, and you observe that the pink sheet 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 |
Sharp 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 Sharp pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Sharp pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Sharp pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Sharp Lagged Returns
When evaluating Sharp's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Sharp pink sheet have on its future price. Sharp 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, Sharp autocorrelation shows the relationship between Sharp pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Sharp.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Sharp Pink Sheet
Sharp financial ratios help investors to determine whether Sharp Pink Sheet is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Sharp with respect to the benefits of owning Sharp security.