Hang Seng (Germany) Market Value
HSB Stock | EUR 11.30 0.10 0.88% |
Symbol | Hang |
Hang Seng '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 Hang Seng's stock 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 Hang Seng.
11/22/2024 |
| 12/22/2024 |
If you would invest 0.00 in Hang Seng on November 22, 2024 and sell it all today you would earn a total of 0.00 from holding Hang Seng Bank or generate 0.0% return on investment in Hang Seng over 30 days. Hang Seng is related to or competes with China Merchants, HDFC Bank, ICICI Bank, PT Bank, DBS Group, PT Bank, and Mizuho Financial. Hang Seng Bank Limited, together with its subsidiaries, provides various banking and related financial services to indiv... More
Hang Seng 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 Hang Seng's stock 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 Hang Seng Bank upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 1.8 | |||
Information Ratio | 0.1133 | |||
Maximum Drawdown | 13.33 | |||
Value At Risk | (1.72) | |||
Potential Upside | 3.44 |
Hang Seng Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Hang Seng's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Hang Seng's standard deviation. In reality, there are many statistical measures that can use Hang Seng historical prices to predict the future Hang Seng's volatility.Risk Adjusted Performance | 0.1087 | |||
Jensen Alpha | 0.2469 | |||
Total Risk Alpha | 0.1898 | |||
Sortino Ratio | 0.124 | |||
Treynor Ratio | (2.61) |
Hang Seng Bank Backtested Returns
Hang Seng appears to be not too volatile, given 3 months investment horizon. Hang Seng Bank holds Efficiency (Sharpe) Ratio of 0.14, which attests that the entity had a 0.14% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Hang Seng Bank, which you can use to evaluate the volatility of the firm. Please utilize Hang Seng's Market Risk Adjusted Performance of (2.60), risk adjusted performance of 0.1087, and Downside Deviation of 1.8 to validate if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Hang Seng holds a performance score of 10. The company retains a Market Volatility (i.e., Beta) of -0.0937, which attests to not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Hang Seng are expected to decrease at a much lower rate. During the bear market, Hang Seng is likely to outperform the market. Please check Hang Seng's information ratio, total risk alpha, treynor ratio, as well as the relationship between the jensen alpha and sortino ratio , to make a quick decision on whether Hang Seng's current trending patterns will revert.
Auto-correlation | -0.77 |
Almost perfect reverse predictability
Hang Seng Bank has almost perfect reverse predictability. Overlapping area represents the amount of predictability between Hang Seng time series from 22nd of November 2024 to 7th of December 2024 and 7th of December 2024 to 22nd 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 Hang Seng Bank price movement. The serial correlation of -0.77 indicates that around 77.0% of current Hang Seng price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.77 | |
Spearman Rank Test | -0.79 | |
Residual Average | 0.0 | |
Price Variance | 0.02 |
Hang Seng Bank lagged returns against current returns
Autocorrelation, which is Hang Seng stock'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 Hang Seng's stock expected returns. We can calculate the autocorrelation of Hang Seng returns to help us make a trade decision. For example, suppose you find that Hang Seng has exhibited high autocorrelation historically, and you observe that the stock 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 |
Hang Seng 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 Hang Seng stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Hang Seng stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Hang Seng stock over time.
Current vs Lagged Prices |
Timeline |
Hang Seng Lagged Returns
When evaluating Hang Seng's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Hang Seng stock have on its future price. Hang Seng 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, Hang Seng autocorrelation shows the relationship between Hang Seng stock current value and its past values and can show if there is a momentum factor associated with investing in Hang Seng Bank.
Regressed Prices |
Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Hang Stock
Hang Seng financial ratios help investors to determine whether Hang Stock 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 Hang with respect to the benefits of owning Hang Seng security.