Hang Seng (Hong Kong) Market Value

Indexes . Hong Kong . 
Index . Hang Seng
HSI Index   18,551  195.81  1.04%   
Hang Seng's market value is the price at which a share of Hang Seng stock trades on a public exchange. It measures the collective expectations of Hang Seng investors about the entity's future performance. With this module, you can estimate the performance of a buy and hold strategy of Hang Seng and determine expected loss or profit from investing in Hang Seng over a given investment horizon. Check out Risk vs Return Analysis to better understand how to build diversified portfolios.
Symbol

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 index 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.
0.00
12/01/2022
No Change 0.00  0.0 
In 5 months and 29 days
05/30/2023
0.00
If you would invest  0.00  in Hang Seng on December 1, 2022 and sell it all today you would earn a total of 0.00 from holding Hang Seng or generate 0.0% return on investment in Hang Seng over 180 days.

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 index 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 upside and downside potential and time the market with a certain degree of confidence.
Information Ratio(0.09)
Maximum Drawdown7.25
Value At Risk(2.27)
Potential Upside1.95

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(0.11)
Total Risk Alpha(0.09)
Sophisticated investors, who have witnessed many market ups and downs, frequently view the market will even out over time. This tendency of Hang Seng'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. Please use the tools below to analyze the current value of Hang Seng in the context of predictive analytics.
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Hang Seng. Your research has to be compared to or analyzed against Hang Seng's peers to derive any actionable benefits. When done correctly, Hang Seng's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Hang Seng.

Hang Seng Backtested Returns

Hang Seng holds Efficiency (Sharpe) Ratio of -0.13, which attests that the entity had -0.13% of return per unit of risk over the last 3 months. Our standpoint towards determining the risk of any index is to look at both systematic and unsystematic factors of the business, including all available market data and technical indicators. Hang Seng exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its stock price that cannot be diversified away.
The index retains a Market Volatility (i.e., Beta) of 0.0, which attests to not very significant fluctuations relative to the market. Let's try to break down what Hang's beta means in this case. the returns on MARKET and Hang Seng are completely uncorrelated. Even though it is essential to pay attention to Hang Seng current price history, it is always good to be careful when utilizing equity current price movements. Our philosophy towards determining any index's future performance is to check both, its past performance charts as well as the business as a whole, including all available technical indicators. Hang Seng exposes twenty-one different technical indicators, which can help you to evaluate its performance.

Auto-correlation

    
  0.28  

Poor predictability

Hang Seng has poor predictability. Overlapping area represents the amount of predictability between Hang Seng time series from 1st of December 2022 to 1st of March 2023 and 1st of March 2023 to 30th of May 2023. 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 price movement. The serial correlation of 0.28 indicates that nearly 28.0% of current Hang Seng price fluctuation can be explain by its past prices.
Correlation Coefficient0.28
Spearman Rank Test-0.11
Residual Average0.0
Price Variance236.5 K

Hang Seng lagged returns against current returns

Autocorrelation, which is Hang Seng index'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 index 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 index 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 stock 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 index is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Hang Seng index is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Hang Seng index 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 index 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 index current value and its past values and can show if there is a momentum factor associated with investing in Hang Seng.
   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 Hang Seng 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, Hang Seng's short interest history, or implied volatility extrapolated from Hang Seng options trading.

Becoming a Better Investor with Macroaxis

Macroaxis puts the power of mathematics on your side. We analyze your portfolios and positions such as Hang Seng using complex mathematical models and algorithms, but make them easy to understand. There is no real person involved in your portfolio analysis. We perform a number of calculations to compute absolute and relative portfolio volatility, correlation between your assets, value at risk, expected return as well as over 100 different fundamental and technical indicators.

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Complementary Tools for Hang Index analysis

When running Hang Seng's price analysis, check to measure Hang Seng'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 Hang Seng is operating at the current time. Most of Hang Seng's value examination focuses on studying past and present price action to predict the probability of Hang Seng's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Hang Seng's price. Additionally, you may evaluate how the addition of Hang Seng to your portfolios can decrease your overall portfolio volatility.
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Hang Seng technical index 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, index market cycles, or different charting patterns.
Overlap Analysis
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Forecast Models
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Price Shifting
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Volatility Indicators
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Value Movement
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A focus of Hang Seng technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Hang Seng trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...
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