Sands China Ltd Stock Market Value
| SCHYY Stock | USD 24.14 0.51 2.07% |
| 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.
| 07/05/2023 |
| 11/26/2024 |
If you would invest 0.00 in Sands China on July 5, 2023 and sell it all today you would earn a total of 0.00 from holding Sands China Ltd or generate 0.0% return on investment in Sands China over 510 days. Sands China is related to or competes with SJM Holdings, Studio City, Monarch Casino, Playa Hotels, Las Vegas, MGM Resorts, and Caesars Entertainment. 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 Ltd upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 3.38 | |||
| Information Ratio | 0.0827 | |||
| Maximum Drawdown | 23.78 | |||
| Value At Risk | (4.22) | |||
| Potential Upside | 8.01 |
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 | 0.0968 | |||
| Jensen Alpha | 0.4092 | |||
| Total Risk Alpha | (0.16) | |||
| Sortino Ratio | 0.094 | |||
| Treynor Ratio | 1.89 |
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 not too volatile, given 3 months investment horizon. Sands China 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. We have found twenty-nine technical indicators for Sands China Ltd, which you can use to evaluate the volatility of the company. Please review Sands China's Risk Adjusted Performance of 0.0968, coefficient of variation of 860.66, and Semi Deviation of 2.93 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 9. The entity has a beta of 0.23, which indicates not very significant fluctuations relative to the market. As returns on the market increase, Sands China's returns are expected to increase less than the market. However, during the bear market, the loss of holding Sands China is expected to be smaller as well. Please check Sands China's expected short fall, day median price, and the relationship between the potential upside and accumulation distribution , to make a quick decision on whether Sands China's existing price patterns will revert.
Auto-correlation | 0.61 |
Good predictability
Sands China Ltd has good predictability. Overlapping area represents the amount of predictability between Sands China time series from 5th of July 2023 to 16th of March 2024 and 16th of March 2024 to 26th 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 0.61 indicates that roughly 61.0% of current Sands China price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.61 | |
| Spearman Rank Test | 0.32 | |
| Residual Average | 0.0 | |
| Price Variance | 11.62 |
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 Ltd.
Regressed Prices |
| Timeline |
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When running Sands China's price analysis, check to measure Sands China'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 Sands China is operating at the current time. Most of Sands China's value examination focuses on studying past and present price action to predict the probability of Sands China's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Sands China's price. Additionally, you may evaluate how the addition of Sands China to your portfolios can decrease your overall portfolio volatility.