SPECTRA ENERGY PARTNERS Market Value
| 84756NAH2 | 97.29 0.30 0.31% |
| Symbol | SPECTRA |
SPECTRA '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 SPECTRA's 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 SPECTRA.
| 12/30/2022 |
| 12/19/2024 |
If you would invest 0.00 in SPECTRA on December 30, 2022 and sell it all today you would earn a total of 0.00 from holding SPECTRA ENERGY PARTNERS or generate 0.0% return on investment in SPECTRA over 720 days. SPECTRA is related to or competes with 00108WAF7, 90331HPL1, PayPal Holdings, Alphabet, IQIYI, Applied Blockchain, and Aerovate Therapeutics. More
SPECTRA 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 SPECTRA's 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 SPECTRA ENERGY PARTNERS upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.07) | |||
| Maximum Drawdown | 7.93 | |||
| Value At Risk | (0.37) | |||
| Potential Upside | 0.329 |
SPECTRA Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SPECTRA's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SPECTRA's standard deviation. In reality, there are many statistical measures that can use SPECTRA historical prices to predict the future SPECTRA's volatility.| Risk Adjusted Performance | (0.03) | |||
| Jensen Alpha | (0.05) | |||
| Total Risk Alpha | (0.06) | |||
| Treynor Ratio | (0.13) |
SPECTRA ENERGY PARTNERS Backtested Returns
SPECTRA ENERGY PARTNERS owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0813, which indicates the bond had a -0.0813% return per unit of volatility over the last 3 months. SPECTRA ENERGY PARTNERS exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate SPECTRA's risk adjusted performance of (0.03), and Variance of 0.8557 to confirm the risk estimate we provide. The entity has a beta of 0.32, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, SPECTRA's returns are expected to increase less than the market. However, during the bear market, the loss of holding SPECTRA is expected to be smaller as well.
Auto-correlation | -0.47 |
Modest reverse predictability
SPECTRA ENERGY PARTNERS has modest reverse predictability. Overlapping area represents the amount of predictability between SPECTRA time series from 30th of December 2022 to 25th of December 2023 and 25th of December 2023 to 19th 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 SPECTRA ENERGY PARTNERS price movement. The serial correlation of -0.47 indicates that about 47.0% of current SPECTRA price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.47 | |
| Spearman Rank Test | -0.17 | |
| Residual Average | 0.0 | |
| Price Variance | 1.02 |
SPECTRA ENERGY PARTNERS lagged returns against current returns
Autocorrelation, which is SPECTRA 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 SPECTRA's bond expected returns. We can calculate the autocorrelation of SPECTRA returns to help us make a trade decision. For example, suppose you find that SPECTRA 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 |
SPECTRA 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 SPECTRA bond is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SPECTRA bond is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SPECTRA bond over time.
Current vs Lagged Prices |
| Timeline |
SPECTRA Lagged Returns
When evaluating SPECTRA's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SPECTRA bond have on its future price. SPECTRA 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, SPECTRA autocorrelation shows the relationship between SPECTRA bond current value and its past values and can show if there is a momentum factor associated with investing in SPECTRA ENERGY PARTNERS.
Regressed Prices |
| Timeline |
Also Currently Popular
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.Other Information on Investing in SPECTRA Bond
SPECTRA financial ratios help investors to determine whether SPECTRA Bond 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 SPECTRA with respect to the benefits of owning SPECTRA security.