Singapore Exchange Ltd Stock Market Value
| SPXCY Stock | USD 18.28 0.02 0.11% |
| Symbol | Singapore |
Singapore Exchange '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 Exchange'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 Singapore Exchange.
| 12/31/2022 |
| 12/20/2024 |
If you would invest 0.00 in Singapore Exchange on December 31, 2022 and sell it all today you would earn a total of 0.00 from holding Singapore Exchange Ltd or generate 0.0% return on investment in Singapore Exchange over 720 days. Singapore Exchange is related to or competes with Singapore Exchange, TMX Group, London Stock, Otc Markets, Morningstar, CME, and Moodys. Singapore Exchange Limited, together with its subsidiaries, operates as an integrated securities and derivatives exchang... More
Singapore Exchange 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 Exchange'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 Singapore Exchange Ltd upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 23.88 | |||
| Information Ratio | 0.1533 | |||
| Maximum Drawdown | 795.39 | |||
| Value At Risk | (1.77) | |||
| Potential Upside | 3.85 |
Singapore Exchange Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Singapore Exchange's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Singapore Exchange's standard deviation. In reality, there are many statistical measures that can use Singapore Exchange historical prices to predict the future Singapore Exchange's volatility.| Risk Adjusted Performance | 0.1319 | |||
| Jensen Alpha | 18.88 | |||
| Total Risk Alpha | 15.29 | |||
| Sortino Ratio | 0.7914 | |||
| Treynor Ratio | 9.83 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Singapore Exchange'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.
Singapore Exchange Backtested Returns
Singapore Exchange is out of control given 3 months investment horizon. Singapore Exchange owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.16, which indicates the firm had a 0.16% return per unit of risk over the last 3 months. We were able to break down twenty-nine different technical indicators, which can help you to evaluate if expected returns of 19.52% are justified by taking the suggested risk. Use Singapore Exchange Semi Deviation of 15.05, coefficient of variation of 651.05, and Risk Adjusted Performance of 0.1319 to evaluate company specific risk that cannot be diversified away. Singapore Exchange holds a performance score of 12 on a scale of zero to a hundred. The entity has a beta of 1.93, which indicates a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Singapore Exchange will likely underperform. Use Singapore Exchange potential upside, as well as the relationship between the accumulation distribution and price action indicator , to analyze future returns on Singapore Exchange.
Auto-correlation | 0.15 |
Insignificant predictability
Singapore Exchange Ltd has insignificant predictability. Overlapping area represents the amount of predictability between Singapore Exchange time series from 31st of December 2022 to 26th of December 2023 and 26th of December 2023 to 20th 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 Exchange price movement. The serial correlation of 0.15 indicates that less than 15.0% of current Singapore Exchange price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.15 | |
| Spearman Rank Test | 0.76 | |
| Residual Average | 0.0 | |
| Price Variance | 209.11 |
Singapore Exchange lagged returns against current returns
Autocorrelation, which is Singapore Exchange 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 Exchange's pink sheet expected returns. We can calculate the autocorrelation of Singapore Exchange returns to help us make a trade decision. For example, suppose you find that Singapore Exchange 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 Exchange 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 Exchange pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Singapore Exchange 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 Exchange pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Singapore Exchange Lagged Returns
When evaluating Singapore Exchange's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Singapore Exchange pink sheet have on its future price. Singapore Exchange 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 Exchange autocorrelation shows the relationship between Singapore Exchange pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Singapore Exchange Ltd.
Regressed Prices |
| Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Additional Tools for Singapore Pink Sheet Analysis
When running Singapore Exchange's price analysis, check to measure Singapore Exchange'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 Singapore Exchange is operating at the current time. Most of Singapore Exchange's value examination focuses on studying past and present price action to predict the probability of Singapore Exchange's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Singapore Exchange's price. Additionally, you may evaluate how the addition of Singapore Exchange to your portfolios can decrease your overall portfolio volatility.