Pccw Limited Stock Market Value
PCWLF Stock | USD 0.56 0.02 3.45% |
Symbol | PCCW |
PCCW '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 PCCW'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 PCCW.
02/05/2023 |
| 12/26/2024 |
If you would invest 0.00 in PCCW on February 5, 2023 and sell it all today you would earn a total of 0.00 from holding PCCW Limited or generate 0.0% return on investment in PCCW over 690 days. PCCW is related to or competes with Telenor ASA, Hellenic Telecommunicatio, Orange SA, Telefonica, Telefonica Brasil, America Movil, and SK Telecom. PCCW Limited provides telecommunications and related services in Hong Kong, Mainland and other parts of China, Singapore... More
PCCW 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 PCCW'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 PCCW Limited upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 4.63 | |||
Information Ratio | 0.0104 | |||
Maximum Drawdown | 17.14 | |||
Value At Risk | (7.14) | |||
Potential Upside | 7.69 |
PCCW Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for PCCW's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as PCCW's standard deviation. In reality, there are many statistical measures that can use PCCW historical prices to predict the future PCCW's volatility.Risk Adjusted Performance | 0.0248 | |||
Jensen Alpha | 0.0399 | |||
Total Risk Alpha | (0.11) | |||
Sortino Ratio | 0.0096 | |||
Treynor Ratio | 0.0698 |
PCCW Limited Backtested Returns
At this point, PCCW is out of control. PCCW Limited retains Efficiency (Sharpe Ratio) of 0.0149, which implies the company had a 0.0149% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for PCCW, which you can use to evaluate the volatility of the entity. Please check PCCW's market risk adjusted performance of 0.0798, and Semi Deviation of 3.26 to confirm if the risk estimate we provide is consistent with the expected return of 0.0653%. PCCW has a performance score of 1 on a scale of 0 to 100. The firm owns a Beta (Systematic Risk) of 1.14, which implies a somewhat significant risk relative to the market. PCCW returns are very sensitive to returns on the market. As the market goes up or down, PCCW is expected to follow. PCCW Limited at this time owns a risk of 4.38%. Please check PCCW Limited downside variance, day median price, and the relationship between the treynor ratio and kurtosis , to decide if PCCW Limited will be following its current price history.
Auto-correlation | 0.31 |
Below average predictability
PCCW Limited has below average predictability. Overlapping area represents the amount of predictability between PCCW time series from 5th of February 2023 to 16th of January 2024 and 16th of January 2024 to 26th 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 PCCW Limited price movement. The serial correlation of 0.31 indicates that nearly 31.0% of current PCCW price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.31 | |
Spearman Rank Test | 0.62 | |
Residual Average | 0.0 | |
Price Variance | 0.0 |
PCCW Limited lagged returns against current returns
Autocorrelation, which is PCCW 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 PCCW's pink sheet expected returns. We can calculate the autocorrelation of PCCW returns to help us make a trade decision. For example, suppose you find that PCCW 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 |
PCCW 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 PCCW pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if PCCW pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in PCCW pink sheet over time.
Current vs Lagged Prices |
Timeline |
PCCW Lagged Returns
When evaluating PCCW's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of PCCW pink sheet have on its future price. PCCW 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, PCCW autocorrelation shows the relationship between PCCW pink sheet current value and its past values and can show if there is a momentum factor associated with investing in PCCW Limited.
Regressed Prices |
Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in PCCW Pink Sheet
PCCW financial ratios help investors to determine whether PCCW Pink Sheet 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 PCCW with respect to the benefits of owning PCCW security.