Singapore Airlines Stock Market Value
| SINGF Stock | USD 4.71 0.21 4.67% |
| Symbol | Singapore |
Singapore Airlines '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 Singapore Airlines' 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 Singapore Airlines.
| 09/03/2024 |
| 12/02/2024 |
If you would invest 0.00 in Singapore Airlines on September 3, 2024 and sell it all today you would earn a total of 0.00 from holding Singapore Airlines or generate 0.0% return on investment in Singapore Airlines over 90 days. Singapore Airlines is related to or competes with Finnair Oyj, EasyJet Plc, Norse Atlantic, Air New, Air China, Air France-KLM, and AirAsia Group. Singapore Airlines Limited, together with subsidiaries, offers passenger and cargo air transportation services under the... More
Singapore Airlines 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 Singapore Airlines' 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 Singapore Airlines upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 4.8 | |||
| Information Ratio | (0.04) | |||
| Maximum Drawdown | 15.04 | |||
| Value At Risk | (6.53) | |||
| Potential Upside | 4.67 |
Singapore Airlines Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Singapore Airlines' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Singapore Airlines' standard deviation. In reality, there are many statistical measures that can use Singapore Airlines historical prices to predict the future Singapore Airlines' volatility.| Risk Adjusted Performance | 0.0133 | |||
| Jensen Alpha | 0.0547 | |||
| Total Risk Alpha | (0.45) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | (0.04) |
Singapore Airlines Backtested Returns
At this point, Singapore Airlines is moderately volatile. Singapore Airlines owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0034, which indicates the firm had a 0.0034% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Singapore Airlines, which you can use to evaluate the volatility of the company. Please validate Singapore Airlines' Semi Deviation of 2.47, risk adjusted performance of 0.0133, and Coefficient Of Variation of 12624.68 to confirm if the risk estimate we provide is consistent with the expected return of 0.0094%. The entity has a beta of -0.34, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Singapore Airlines are expected to decrease at a much lower rate. During the bear market, Singapore Airlines is likely to outperform the market. Singapore Airlines right now has a risk of 2.8%. Please validate Singapore Airlines semi variance, and the relationship between the maximum drawdown and accumulation distribution , to decide if Singapore Airlines will be following its existing price patterns.
Auto-correlation | -0.62 |
Very good reverse predictability
Singapore Airlines has very good reverse predictability. Overlapping area represents the amount of predictability between Singapore Airlines 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 Singapore Airlines price movement. The serial correlation of -0.62 indicates that roughly 62.0% of current Singapore Airlines price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.62 | |
| Spearman Rank Test | -0.62 | |
| Residual Average | 0.0 | |
| Price Variance | 0.04 |
Singapore Airlines lagged returns against current returns
Autocorrelation, which is Singapore Airlines 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 Singapore Airlines' pink sheet expected returns. We can calculate the autocorrelation of Singapore Airlines returns to help us make a trade decision. For example, suppose you find that Singapore Airlines 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 |
Singapore Airlines 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 Singapore Airlines pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Singapore Airlines pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Singapore Airlines pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Singapore Airlines Lagged Returns
When evaluating Singapore Airlines' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Singapore Airlines pink sheet have on its future price. Singapore Airlines 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, Singapore Airlines autocorrelation shows the relationship between Singapore Airlines pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Singapore Airlines.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Singapore Pink Sheet
Singapore Airlines financial ratios help investors to determine whether Singapore 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 Singapore with respect to the benefits of owning Singapore Airlines security.