Sun Hung Kai Stock Market Value
| SUHJY Stock | USD 9.15 0.04 0.44% |
| Symbol | Sun |
Sun Hung '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 Sun Hung'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 Sun Hung.
| 05/06/2022 |
| 04/25/2024 |
If you would invest 0.00 in Sun Hung on May 6, 2022 and sell it all today you would earn a total of 0.00 from holding Sun Hung Kai or generate 0.0% return on investment in Sun Hung over 720 days. Sun Hung is related to or competes with Hong Kong, Wharf Holdings, Sino Land, Country Garden, and Longfor Properties. Sun Hung Kai Properties Limited develops and invests in properties for sale and rent in Hong Kong, Mainland China, and i... More
Sun Hung 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 Sun Hung'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 Sun Hung Kai upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.08) | |||
| Maximum Drawdown | 6.97 | |||
| Value At Risk | (2.51) | |||
| Potential Upside | 2.31 |
Sun Hung Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Sun Hung's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Sun Hung's standard deviation. In reality, there are many statistical measures that can use Sun Hung historical prices to predict the future Sun Hung's volatility.| Risk Adjusted Performance | (0.01) | |||
| Jensen Alpha | (0.1) | |||
| Total Risk Alpha | (0.22) | |||
| Treynor Ratio | (0.05) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Sun Hung'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.
Sun Hung Kai Backtested Returns
Sun Hung Kai owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0628, which indicates the firm had a -0.0628% return per unit of risk over the last 3 months. Sun Hung Kai exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Sun Hung's Variance of 2.09, coefficient of variation of (4,998), and Risk Adjusted Performance of (0.01) to confirm the risk estimate we provide. The entity has a beta of 0.75, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, Sun Hung's returns are expected to increase less than the market. However, during the bear market, the loss of holding Sun Hung is expected to be smaller as well. Sun Hung Kai has an expected return of -0.0905%. Please make sure to validate Sun Hung treynor ratio, accumulation distribution, as well as the relationship between the Accumulation Distribution and price action indicator , to decide if Sun Hung Kai performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.52 |
Good reverse predictability
Sun Hung Kai has good reverse predictability. Overlapping area represents the amount of predictability between Sun Hung time series from 6th of May 2022 to 1st of May 2023 and 1st of May 2023 to 25th 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 Sun Hung Kai price movement. The serial correlation of -0.52 indicates that about 52.0% of current Sun Hung price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.52 | |
| Spearman Rank Test | -0.65 | |
| Residual Average | 0.0 | |
| Price Variance | 1.3 |
Sun Hung Kai lagged returns against current returns
Autocorrelation, which is Sun Hung 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 Sun Hung's pink sheet expected returns. We can calculate the autocorrelation of Sun Hung returns to help us make a trade decision. For example, suppose you find that Sun Hung 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 |
Sun Hung 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 Sun Hung pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Sun Hung pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Sun Hung pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Sun Hung Lagged Returns
When evaluating Sun Hung's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Sun Hung pink sheet have on its future price. Sun Hung 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, Sun Hung autocorrelation shows the relationship between Sun Hung pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Sun Hung Kai.
Regressed Prices |
| Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Sun Hung in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Sun Hung's short interest history, or implied volatility extrapolated from Sun Hung options trading.
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Check out Sun Hung Correlation, Sun Hung Volatility and Sun Hung Alpha and Beta module to complement your research on Sun Hung. You can also try the Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
Complementary Tools for Sun Pink Sheet analysis
When running Sun Hung's price analysis, check to measure Sun Hung'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 Sun Hung is operating at the current time. Most of Sun Hung's value examination focuses on studying past and present price action to predict the probability of Sun Hung's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Sun Hung's price. Additionally, you may evaluate how the addition of Sun Hung to your portfolios can decrease your overall portfolio volatility.
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Sun Hung 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.