Singapore Exchange Ltd Stock Market Value
| SPXCY Stock | USD 99.90 0.38 0.38% |
| 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.
| 03/21/2024 |
| 04/20/2024 |
If you would invest 0.00 in Singapore Exchange on March 21, 2024 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 30 days. Singapore Exchange is related to or competes with MSCI, Otc Markets, and Dun Bradstreet. 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.
| Information Ratio | (0.16) | |||
| Maximum Drawdown | 5.09 | |||
| Value At Risk | (2.10) | |||
| Potential Upside | 1.54 |
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 | (0.05) | |||
| Jensen Alpha | (0.12) | |||
| Total Risk Alpha | (0.23) | |||
| Treynor Ratio | (0.35) |
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 owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0946, which indicates the firm had a -0.0946% return per unit of risk over the last 3 months. Singapore Exchange Ltd exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Singapore Exchange's Variance of 1.21, risk adjusted performance of (0.05), and Coefficient Of Variation of (1,232) to confirm the risk estimate we provide. The entity has a beta of 0.29, which indicates not very significant fluctuations relative to the market. As returns on the market increase, Singapore Exchange's returns are expected to increase less than the market. However, during the bear market, the loss of holding Singapore Exchange is expected to be smaller as well. Singapore Exchange has an expected return of -0.1%. Please make sure to validate Singapore Exchange treynor ratio, accumulation distribution, as well as the relationship between the Accumulation Distribution and price action indicator , to decide if Singapore Exchange performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.56 |
Modest predictability
Singapore Exchange Ltd has modest predictability. Overlapping area represents the amount of predictability between Singapore Exchange time series from 21st of March 2024 to 5th of April 2024 and 5th of April 2024 to 20th of April 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 0.56 indicates that roughly 56.0% of current Singapore Exchange price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.56 | |
| Spearman Rank Test | 0.52 | |
| Residual Average | 0.0 | |
| Price Variance | 2.89 |
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 |
Currently Active Assets on Macroaxis
Check out Singapore Exchange Correlation, Singapore Exchange Volatility and Singapore Exchange Alpha and Beta module to complement your research on Singapore Exchange. Note that the Singapore Exchange information on this page should be used as a complementary analysis to other Singapore Exchange's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
Complementary 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.
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Singapore Exchange technical pink sheet analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, pink sheet market cycles, or different charting patterns.