Plains All American Market Value
| 726503AE5 | 89.86 9.69 9.73% |
| Symbol | Plains |
Plains '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 Plains' bond 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 Plains.
| 03/26/2024 |
| 04/25/2024 |
If you would invest 0.00 in Plains on March 26, 2024 and sell it all today you would earn a total of 0.00 from holding Plains All American or generate 0.0% return on investment in Plains over 30 days. Plains is related to or competes with 3M, Merck, Disney, American Express, Caterpillar, Procter Gamble, and Pfizer. More
Plains 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 Plains' bond 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 Plains All American upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.16) | |||
| Maximum Drawdown | 3.82 | |||
| Value At Risk | (1.57) | |||
| Potential Upside | 1.15 |
Plains Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Plains' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Plains' standard deviation. In reality, there are many statistical measures that can use Plains historical prices to predict the future Plains' volatility.| Risk Adjusted Performance | (0.06) | |||
| Jensen Alpha | (0.11) | |||
| Total Risk Alpha | (0.34) | |||
| Treynor Ratio | 0.3426 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Plains' 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.
Plains All American Backtested Returns
Plains All American maintains Sharpe Ratio (i.e., Efficiency) of -0.11, which implies the entity had a -0.11% return per unit of risk over the last 3 months. Plains All American exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Plains' Coefficient Of Variation of (1,029), variance of 1.99, and Risk Adjusted Performance of (0.06) to confirm the risk estimate we provide. The bond holds a Beta of -0.43, which implies possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Plains are expected to decrease at a much lower rate. During the bear market, Plains is likely to outperform the market.
Auto-correlation | -0.12 |
Insignificant reverse predictability
Plains All American has insignificant reverse predictability. Overlapping area represents the amount of predictability between Plains time series from 26th of March 2024 to 10th of April 2024 and 10th of April 2024 to 25th 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 Plains All American price movement. The serial correlation of -0.12 indicates that less than 12.0% of current Plains price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.12 | |
| Spearman Rank Test | 0.1 | |
| Residual Average | 0.0 | |
| Price Variance | 14.06 |
Plains All American lagged returns against current returns
Autocorrelation, which is Plains bond'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 Plains' bond expected returns. We can calculate the autocorrelation of Plains returns to help us make a trade decision. For example, suppose you find that Plains has exhibited high autocorrelation historically, and you observe that the bond 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 |
Plains 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 Plains bond is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Plains bond is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Plains bond over time.
Current vs Lagged Prices |
| Timeline |
Plains Lagged Returns
When evaluating Plains' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Plains bond have on its future price. Plains 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, Plains autocorrelation shows the relationship between Plains bond current value and its past values and can show if there is a momentum factor associated with investing in Plains All American.
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 Plains 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, Plains' short interest history, or implied volatility extrapolated from Plains options trading.
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Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Check out Plains Correlation, Plains Volatility and Plains Alpha and Beta module to complement your research on Plains. Note that the Plains All American information on this page should be used as a complementary analysis to other Plains' 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 Companies Directory module to evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals.
Plains technical bond 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, bond market cycles, or different charting patterns.