Picc Property And Stock Market Value
PPCCF Stock | USD 1.31 0.00 0.00% |
Symbol | PICC |
PICC Property '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 PICC Property'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 PICC Property.
02/27/2024 |
| 03/28/2024 |
If you would invest 0.00 in PICC Property on February 27, 2024 and sell it all today you would earn a total of 0.00 from holding PICC Property And or generate 0.0% return on investment in PICC Property over 30 days. PICC Property is related to or competes with Progressive Corp, Chubb, Travelers Companies, Allstate, Allstate, and Dupont De. PICC Property and Casualty Company Limited, together with its subsidiaries, operates as a property and casualty insuranc... More
PICC Property 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 PICC Property'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 PICC Property And upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | 0.0213 | |||
Maximum Drawdown | 14.91 |
PICC Property Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for PICC Property's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as PICC Property's standard deviation. In reality, there are many statistical measures that can use PICC Property historical prices to predict the future PICC Property's volatility.Risk Adjusted Performance | 0.0579 | |||
Jensen Alpha | 0.1864 | |||
Total Risk Alpha | (0.26) | |||
Treynor Ratio | (0.96) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of PICC Property'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.
PICC Property And Backtested Returns
We consider PICC Property very risky. PICC Property And retains Efficiency (Sharpe Ratio) of 0.095, which implies the firm had a 0.095% return per unit of risk over the last 3 months. We have found seventeen technical indicators for PICC Property, which you can use to evaluate the volatility of the company. Please check PICC Property's market risk adjusted performance of (0.95), and Coefficient Of Variation of 1094.34 to confirm if the risk estimate we provide is consistent with the expected return of 0.19%. PICC Property has a performance score of 7 on a scale of 0 to 100. The company owns a Beta (Systematic Risk) of -0.17, which implies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning PICC Property are expected to decrease at a much lower rate. During the bear market, PICC Property is likely to outperform the market. PICC Property And now owns a risk of 1.99%. Please check PICC Property And rate of daily change, relative strength index, as well as the relationship between the maximum drawdown and variance , to decide if PICC Property And will be following its current price history.
Auto-correlation | 0.00 |
No correlation between past and present
PICC Property And has no correlation between past and present. Overlapping area represents the amount of predictability between PICC Property time series from 27th of February 2024 to 13th of March 2024 and 13th of March 2024 to 28th of March 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 PICC Property And price movement. The serial correlation of 0.0 indicates that just 0.0% of current PICC Property price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.0 | |
Spearman Rank Test | 1.0 | |
Residual Average | 0.0 | |
Price Variance | 0.0 |
PICC Property And lagged returns against current returns
Autocorrelation, which is PICC Property 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 PICC Property's pink sheet expected returns. We can calculate the autocorrelation of PICC Property returns to help us make a trade decision. For example, suppose you find that PICC Property 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 |
PICC Property 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 PICC Property pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if PICC Property pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in PICC Property pink sheet over time.
Current vs Lagged Prices |
Timeline |
PICC Property Lagged Returns
When evaluating PICC Property's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of PICC Property pink sheet have on its future price. PICC Property 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, PICC Property autocorrelation shows the relationship between PICC Property pink sheet current value and its past values and can show if there is a momentum factor associated with investing in PICC Property And.
Regressed Prices |
Timeline |
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Macroaxis puts the power of mathematics on your side. We analyze your portfolios and positions such as PICC Property And 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.Build Optimal Portfolios
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Check out PICC Property Correlation, PICC Property Volatility and PICC Property Alpha and Beta module to complement your research on PICC Property. Note that the PICC Property And information on this page should be used as a complementary analysis to other PICC Property's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Odds Of Bankruptcy module to get analysis of equity chance of financial distress in the next 2 years.
Complementary Tools for PICC Pink Sheet analysis
When running PICC Property's price analysis, check to measure PICC Property'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 PICC Property is operating at the current time. Most of PICC Property's value examination focuses on studying past and present price action to predict the probability of PICC Property's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move PICC Property's price. Additionally, you may evaluate how the addition of PICC Property to your portfolios can decrease your overall portfolio volatility.
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PICC Property 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.