Hsbc Holdings Plc Stock Market Value
| HBCYF Stock | USD 7.89 0.11 1.38% |
| Symbol | HSBC |
HSBC Holdings '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 HSBC Holdings' 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 HSBC Holdings.
| 05/24/2023 |
| 04/18/2024 |
If you would invest 0.00 in HSBC Holdings on May 24, 2023 and sell it all today you would earn a total of 0.00 from holding HSBC Holdings PLC or generate 0.0% return on investment in HSBC Holdings over 330 days. HSBC Holdings is related to or competes with ANZ Group, Bank of America, Bank of America, Wells Fargo, and Bank of America. HSBC Holdings plc provides banking and financial services worldwide More
HSBC Holdings 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 HSBC Holdings' 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 HSBC Holdings PLC upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.74 | |||
| Information Ratio | 0.0317 | |||
| Maximum Drawdown | 14.87 | |||
| Value At Risk | (3.71) | |||
| Potential Upside | 4.08 |
HSBC Holdings Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for HSBC Holdings' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as HSBC Holdings' standard deviation. In reality, there are many statistical measures that can use HSBC Holdings historical prices to predict the future HSBC Holdings' volatility.| Risk Adjusted Performance | 0.0413 | |||
| Jensen Alpha | 0.1025 | |||
| Total Risk Alpha | (0.06) | |||
| Sortino Ratio | 0.0293 | |||
| Treynor Ratio | 0.2456 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of HSBC Holdings' 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.
HSBC Holdings PLC Backtested Returns
We consider HSBC Holdings somewhat reliable. HSBC Holdings PLC retains Efficiency (Sharpe Ratio) of 0.073, which attests that the entity had a 0.073% return per unit of return volatility over the last 3 months. We have found thirty technical indicators for HSBC Holdings, which you can use to evaluate the volatility of the firm. Please check out HSBC Holdings' Market Risk Adjusted Performance of 0.2556, downside deviation of 2.74, and Semi Deviation of 2.46 to validate if the risk estimate we provide is consistent with the expected return of 0.19%. HSBC Holdings has a performance score of 5 on a scale of 0 to 100. The company owns a Beta (Systematic Risk) of 0.51, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, HSBC Holdings' returns are expected to increase less than the market. However, during the bear market, the loss of holding HSBC Holdings is expected to be smaller as well. HSBC Holdings PLC now owns a risk of 2.56%. Please check out HSBC Holdings PLC potential upside, rate of daily change, and the relationship between the sortino ratio and skewness , to decide if HSBC Holdings PLC will be following its current price history.
Auto-correlation | 0.02 |
Virtually no predictability
HSBC Holdings PLC has virtually no predictability. Overlapping area represents the amount of predictability between HSBC Holdings time series from 24th of May 2023 to 5th of November 2023 and 5th of November 2023 to 18th 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 HSBC Holdings PLC price movement. The serial correlation of 0.02 indicates that only 2.0% of current HSBC Holdings price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.02 | |
| Spearman Rank Test | -0.08 | |
| Residual Average | 0.0 | |
| Price Variance | 0.08 |
HSBC Holdings PLC lagged returns against current returns
Autocorrelation, which is HSBC Holdings 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 HSBC Holdings' pink sheet expected returns. We can calculate the autocorrelation of HSBC Holdings returns to help us make a trade decision. For example, suppose you find that HSBC Holdings 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 |
HSBC Holdings 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 HSBC Holdings pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if HSBC Holdings pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in HSBC Holdings pink sheet over time.
Current vs Lagged Prices |
| Timeline |
HSBC Holdings Lagged Returns
When evaluating HSBC Holdings' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of HSBC Holdings pink sheet have on its future price. HSBC Holdings 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, HSBC Holdings autocorrelation shows the relationship between HSBC Holdings pink sheet current value and its past values and can show if there is a momentum factor associated with investing in HSBC Holdings PLC.
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 HSBC Holdings 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, HSBC Holdings' short interest history, or implied volatility extrapolated from HSBC Holdings options trading.
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Complementary Tools for HSBC Pink Sheet analysis
When running HSBC Holdings' price analysis, check to measure HSBC Holdings' 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 HSBC Holdings is operating at the current time. Most of HSBC Holdings' value examination focuses on studying past and present price action to predict the probability of HSBC Holdings' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move HSBC Holdings' price. Additionally, you may evaluate how the addition of HSBC Holdings to your portfolios can decrease your overall portfolio volatility.
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HSBC Holdings 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.