Brookfield Infrastructure Partners Stock Market Value
| BIP-UN Stock | CAD 49.01 0.31 0.63% |
| Symbol | Brookfield |
Brookfield Infrastructure Price To Book Ratio
Brookfield Infrastructure '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 Brookfield Infrastructure's stock 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 Brookfield Infrastructure.
| 05/30/2024 |
| 11/26/2024 |
If you would invest 0.00 in Brookfield Infrastructure on May 30, 2024 and sell it all today you would earn a total of 0.00 from holding Brookfield Infrastructure Partners or generate 0.0% return on investment in Brookfield Infrastructure over 180 days. Brookfield Infrastructure is related to or competes with Brookfield Renewable, Emera, Fortis, Algonquin Power, and Pembina Pipeline. Brookfield Infrastructure Partners L.P. owns and operates utilities, transport, energy, and data infrastructure business... More
Brookfield Infrastructure 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 Brookfield Infrastructure's stock 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 Brookfield Infrastructure Partners upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.07 | |||
| Information Ratio | 0.0564 | |||
| Maximum Drawdown | 6.6 | |||
| Value At Risk | (1.75) | |||
| Potential Upside | 2.32 |
Brookfield Infrastructure Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Brookfield Infrastructure's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Brookfield Infrastructure's standard deviation. In reality, there are many statistical measures that can use Brookfield Infrastructure historical prices to predict the future Brookfield Infrastructure's volatility.| Risk Adjusted Performance | 0.12 | |||
| Jensen Alpha | 0.1456 | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | 0.0713 | |||
| Treynor Ratio | 0.4683 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Brookfield Infrastructure'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.
Brookfield Infrastructure Backtested Returns
Brookfield Infrastructure appears to be very steady, given 3 months investment horizon. Brookfield Infrastructure secures Sharpe Ratio (or Efficiency) of 0.15, which signifies that the company had a 0.15% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Brookfield Infrastructure Partners, which you can use to evaluate the volatility of the firm. Please makes use of Brookfield Infrastructure's Risk Adjusted Performance of 0.12, downside deviation of 1.07, and Mean Deviation of 1.05 to double-check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Brookfield Infrastructure holds a performance score of 12. The firm shows a Beta (market volatility) of 0.42, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, Brookfield Infrastructure's returns are expected to increase less than the market. However, during the bear market, the loss of holding Brookfield Infrastructure is expected to be smaller as well. Please check Brookfield Infrastructure's sortino ratio, skewness, period momentum indicator, as well as the relationship between the potential upside and rate of daily change , to make a quick decision on whether Brookfield Infrastructure's price patterns will revert.
Auto-correlation | 0.66 |
Good predictability
Brookfield Infrastructure Partners has good predictability. Overlapping area represents the amount of predictability between Brookfield Infrastructure time series from 30th of May 2024 to 28th of August 2024 and 28th of August 2024 to 26th of November 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 Brookfield Infrastructure price movement. The serial correlation of 0.66 indicates that around 66.0% of current Brookfield Infrastructure price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.66 | |
| Spearman Rank Test | 0.64 | |
| Residual Average | 0.0 | |
| Price Variance | 4.63 |
Brookfield Infrastructure lagged returns against current returns
Autocorrelation, which is Brookfield Infrastructure stock'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 Brookfield Infrastructure's stock expected returns. We can calculate the autocorrelation of Brookfield Infrastructure returns to help us make a trade decision. For example, suppose you find that Brookfield Infrastructure has exhibited high autocorrelation historically, and you observe that the stock 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 |
Brookfield Infrastructure 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 Brookfield Infrastructure stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Brookfield Infrastructure stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Brookfield Infrastructure stock over time.
Current vs Lagged Prices |
| Timeline |
Brookfield Infrastructure Lagged Returns
When evaluating Brookfield Infrastructure's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Brookfield Infrastructure stock have on its future price. Brookfield Infrastructure 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, Brookfield Infrastructure autocorrelation shows the relationship between Brookfield Infrastructure stock current value and its past values and can show if there is a momentum factor associated with investing in Brookfield Infrastructure Partners.
Regressed Prices |
| Timeline |
Pair Trading with Brookfield Infrastructure
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 Brookfield Infrastructure 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 Brookfield Infrastructure will appreciate offsetting losses from the drop in the long position's value.Moving together with Brookfield Stock
| 0.75 | WMT | Walmart Inc CDR | PairCorr |
| 0.66 | AMZN | Amazon CDR | PairCorr |
| 0.8 | UPS | UPS CDR | PairCorr |
| 0.83 | HD | HOME DEPOT CDR | PairCorr |
The ability to find closely correlated positions to Brookfield Infrastructure could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Brookfield Infrastructure 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 Brookfield Infrastructure - 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 Brookfield Infrastructure Partners to buy it.
The correlation of Brookfield Infrastructure 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 Brookfield Infrastructure moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Brookfield Infrastructure 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 Brookfield Infrastructure 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 Brookfield Infrastructure Correlation, Brookfield Infrastructure Volatility and Brookfield Infrastructure Alpha and Beta module to complement your research on Brookfield Infrastructure. You can also try the Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
Brookfield Infrastructure technical stock 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, stock market cycles, or different charting patterns.