Sands China Stock Market Value
| SCHYF Stock | USD 2.42 0.23 8.68% |
| Symbol | Sands |
Sands China '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 Sands China'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 Sands China.
| 02/01/2024 |
| 11/27/2024 |
If you would invest 0.00 in Sands China on February 1, 2024 and sell it all today you would earn a total of 0.00 from holding Sands China or generate 0.0% return on investment in Sands China over 300 days. Sands China is related to or competes with Las Vegas, MGM Resorts, Caesars Entertainment, Wynn Resorts, Red Rock, Melco Resorts, and Penn National. Sands China Ltd., an investment holding company, develops, owns, and operates integrated resorts and casinos in Macao More
Sands China 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 Sands China'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 Sands China upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 10.74 | |||
| Information Ratio | 0.0635 | |||
| Maximum Drawdown | 50.0 | |||
| Value At Risk | (9.69) | |||
| Potential Upside | 6.4 |
Sands China Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Sands China's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Sands China's standard deviation. In reality, there are many statistical measures that can use Sands China historical prices to predict the future Sands China's volatility.| Risk Adjusted Performance | 0.0713 | |||
| Jensen Alpha | 0.6094 | |||
| Total Risk Alpha | (0.55) | |||
| Sortino Ratio | 0.0424 | |||
| Treynor Ratio | (2.06) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Sands China'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.
Sands China Backtested Returns
Sands China appears to be dangerous, given 3 months investment horizon. Sands China owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0818, which indicates the firm had a 0.0818% return per unit of risk over the last 3 months. By inspecting Sands China's technical indicators, you can evaluate if the expected return of 0.6% is justified by implied risk. Please review Sands China's Coefficient Of Variation of 1224.88, semi deviation of 3.31, and Risk Adjusted Performance of 0.0713 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Sands China holds a performance score of 6. The entity has a beta of -0.28, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Sands China are expected to decrease at a much lower rate. During the bear market, Sands China is likely to outperform the market. Please check Sands China's skewness, and the relationship between the value at risk and day median price , to make a quick decision on whether Sands China's existing price patterns will revert.
Auto-correlation | -0.57 |
Good reverse predictability
Sands China has good reverse predictability. Overlapping area represents the amount of predictability between Sands China time series from 1st of February 2024 to 30th of June 2024 and 30th of June 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 Sands China price movement. The serial correlation of -0.57 indicates that roughly 57.0% of current Sands China price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.57 | |
| Spearman Rank Test | -0.49 | |
| Residual Average | 0.0 | |
| Price Variance | 0.17 |
Sands China lagged returns against current returns
Autocorrelation, which is Sands China 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 Sands China's pink sheet expected returns. We can calculate the autocorrelation of Sands China returns to help us make a trade decision. For example, suppose you find that Sands China 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 |
Sands China 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 Sands China pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Sands China pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Sands China pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Sands China Lagged Returns
When evaluating Sands China's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Sands China pink sheet have on its future price. Sands China 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, Sands China autocorrelation shows the relationship between Sands China pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Sands China.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Sands Pink Sheet
Sands China financial ratios help investors to determine whether Sands 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 Sands with respect to the benefits of owning Sands China security.