China Pacific Insurance Stock Market Value
CHPXF Stock | USD 2.38 0.00 0.00% |
Symbol | China |
China Pacific '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 China Pacific'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 China Pacific.
03/20/2024 |
| 04/19/2024 |
If you would invest 0.00 in China Pacific on March 20, 2024 and sell it all today you would earn a total of 0.00 from holding China Pacific Insurance or generate 0.0% return on investment in China Pacific over 30 days. China Pacific is related to or competes with Targa Resources, AZZ Incorporated, Alphabet, Delta Air, GE Aerospace, Allison Transmission, and Microsoft. China Pacific Insurance Co., Ltd., together with its subsidiaries, offers insurance products in the Peoples Republic of ... More
China Pacific 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 China Pacific'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 China Pacific Insurance upside and downside potential and time the market with a certain degree of confidence.
China Pacific Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for China Pacific's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as China Pacific's standard deviation. In reality, there are many statistical measures that can use China Pacific historical prices to predict the future China Pacific's volatility.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of China Pacific'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.
China Pacific Insurance Backtested Returns
We have found three technical indicators for China Pacific Insurance, which you can use to evaluate the volatility of the firm. The firm shows a Beta (market volatility) of 0.0, which signifies not very significant fluctuations relative to the market. the returns on MARKET and China Pacific are completely uncorrelated.
Auto-correlation | 1.00 |
Perfect predictability
China Pacific Insurance has perfect predictability. Overlapping area represents the amount of predictability between China Pacific time series from 20th of March 2024 to 4th of April 2024 and 4th of April 2024 to 19th 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 China Pacific Insurance price movement. The serial correlation of 1.0 indicates that 100.0% of current China Pacific price fluctuation can be explain by its past prices.
Correlation Coefficient | 1.0 | |
Spearman Rank Test | 1.0 | |
Residual Average | 0.0 | |
Price Variance | 0.0 |
China Pacific Insurance lagged returns against current returns
Autocorrelation, which is China Pacific 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 China Pacific's pink sheet expected returns. We can calculate the autocorrelation of China Pacific returns to help us make a trade decision. For example, suppose you find that China Pacific 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 |
China Pacific 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 China Pacific pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if China Pacific pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in China Pacific pink sheet over time.
Current vs Lagged Prices |
Timeline |
China Pacific Lagged Returns
When evaluating China Pacific's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of China Pacific pink sheet have on its future price. China Pacific 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, China Pacific autocorrelation shows the relationship between China Pacific pink sheet current value and its past values and can show if there is a momentum factor associated with investing in China Pacific Insurance.
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 China Pacific 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, China Pacific's short interest history, or implied volatility extrapolated from China Pacific options trading.
Pair Trading with China Pacific
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 China Pacific 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 China Pacific will appreciate offsetting losses from the drop in the long position's value.Moving against China Pink Sheet
1.0 | CEEIF | Ceres Inc | PairCorr |
1.0 | LPCUF | Lees Pharmaceutical | PairCorr |
1.0 | ADCUF | ADS Maritime Holding | PairCorr |
The ability to find closely correlated positions to China Pacific could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace China Pacific 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 China Pacific - 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 China Pacific Insurance to buy it.
The correlation of China Pacific 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 China Pacific moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if China Pacific Insurance 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 China Pacific 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 China Pacific Correlation, China Pacific Volatility and China Pacific Alpha and Beta module to complement your research on China Pacific. You can also try the Portfolio Center module to all portfolio management and optimization tools to improve performance of your portfolios.
Complementary Tools for China Pink Sheet analysis
When running China Pacific's price analysis, check to measure China Pacific'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 China Pacific is operating at the current time. Most of China Pacific's value examination focuses on studying past and present price action to predict the probability of China Pacific's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move China Pacific's price. Additionally, you may evaluate how the addition of China Pacific to your portfolios can decrease your overall portfolio volatility.
Global Markets Map Get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes | |
Commodity Directory Find actively traded commodities issued by global exchanges | |
Stock Screener Find equities using a custom stock filter or screen asymmetry in trading patterns, price, volume, or investment outlook. | |
Sign In To Macroaxis Sign in to explore Macroaxis' wealth optimization platform and fintech modules | |
Portfolio Backtesting Avoid under-diversification and over-optimization by backtesting your portfolios |
China Pacific 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.