Hang Feng Technology Stock Market Value
| FOFO Stock | 10.53 0.68 6.90% |
| Symbol | Hang |
Is Consulting Services space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Hang Feng. If investors know Hang will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Hang Feng listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
The market value of Hang Feng Technology is measured differently than its book value, which is the value of Hang that is recorded on the company's balance sheet. Investors also form their own opinion of Hang Feng's value that differs from its market value or its book value, called intrinsic value, which is Hang Feng's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Hang Feng's market value can be influenced by many factors that don't directly affect Hang Feng's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Hang Feng's value and its price as these two are different measures arrived at by different means. Investors typically determine if Hang Feng is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Hang Feng's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
Hang Feng '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 Feng'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 Feng.
| 12/31/2024 |
| 12/26/2025 |
If you would invest 0.00 in Hang Feng on December 31, 2024 and sell it all today you would earn a total of 0.00 from holding Hang Feng Technology or generate 0.0% return on investment in Hang Feng over 360 days. Hang Feng is related to or competes with Bluemount Holdings, Phenixfin, Great Elm, Nuveen California, Highest Performances, Grande Group, and Hennessy. More
Hang Feng 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 Feng'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 Feng Technology upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.15) | |||
| Maximum Drawdown | 63.48 | |||
| Value At Risk | (23.90) | |||
| Potential Upside | 12.45 |
Hang Feng Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Hang Feng's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Hang Feng's standard deviation. In reality, there are many statistical measures that can use Hang Feng historical prices to predict the future Hang Feng's volatility.| Risk Adjusted Performance | (0.09) | |||
| Jensen Alpha | (1.43) | |||
| Total Risk Alpha | (2.71) | |||
| Treynor Ratio | 0.6531 |
Hang Feng Technology Backtested Returns
Hang Feng Technology 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. Hang Feng Technology exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Hang Feng's Standard Deviation of 11.13, risk adjusted performance of (0.09), and Market Risk Adjusted Performance of 0.6631 to validate the risk estimate we provide. The company retains a Market Volatility (i.e., Beta) of -2.45, which attests to a somewhat significant risk relative to the market. As returns on the market increase, returns on owning Hang Feng are expected to decrease by larger amounts. On the other hand, during market turmoil, Hang Feng is expected to outperform it. At this point, Hang Feng Technology has a negative expected return of -1.59%. Please make sure to check out Hang Feng's information ratio, potential upside, as well as the relationship between the Potential Upside and rate of daily change , to decide if Hang Feng Technology performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.00 |
No correlation between past and present
Hang Feng Technology has no correlation between past and present. Overlapping area represents the amount of predictability between Hang Feng time series from 31st of December 2024 to 29th of June 2025 and 29th of June 2025 to 26th of December 2025. 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 Feng Technology price movement. The serial correlation of 0.0 indicates that just 0.0% of current Hang Feng price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | 0.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Hang Feng Technology lagged returns against current returns
Autocorrelation, which is Hang Feng 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 Feng's stock expected returns. We can calculate the autocorrelation of Hang Feng returns to help us make a trade decision. For example, suppose you find that Hang Feng 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 Feng 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 Feng stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Hang Feng stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Hang Feng stock over time.
Current vs Lagged Prices |
| Timeline |
Hang Feng Lagged Returns
When evaluating Hang Feng's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Hang Feng stock have on its future price. Hang Feng 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 Feng autocorrelation shows the relationship between Hang Feng stock current value and its past values and can show if there is a momentum factor associated with investing in Hang Feng Technology.
Regressed Prices |
| Timeline |
Pair Trading with Hang Feng
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Hang Feng position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Hang Feng will appreciate offsetting losses from the drop in the long position's value.Moving together with Hang Stock
Moving against Hang Stock
| 0.63 | SGSOY | SGS SA | PairCorr |
| 0.59 | SGSOF | SGS SA | PairCorr |
| 0.44 | BVRDF | Bureau Veritas SA | PairCorr |
| 0.35 | BYCRF | BayCurrent Consulting | PairCorr |
The ability to find closely correlated positions to Hang Feng could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Hang Feng when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Hang Feng - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Hang Feng Technology to buy it.
The correlation of Hang Feng is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Hang Feng moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Hang Feng Technology moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Hang Feng can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Hang Feng Correlation, Hang Feng Volatility and Hang Feng Alpha and Beta module to complement your research on Hang Feng. You can also try the Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
Hang Feng technical stock 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, stock market cycles, or different charting patterns.