Spdr Portfolio Corporate Etf Market Value
| SPBO Etf | USD 29.33 0.09 0.31% |
| Symbol | SPDR |
The market value of SPDR Portfolio Corporate is measured differently than its book value, which is the value of SPDR that is recorded on the company's balance sheet. Investors also form their own opinion of SPDR Portfolio's value that differs from its market value or its book value, called intrinsic value, which is SPDR Portfolio's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because SPDR Portfolio's market value can be influenced by many factors that don't directly affect SPDR Portfolio's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between SPDR Portfolio's value and its price as these two are different measures arrived at by different means. Investors typically determine if SPDR Portfolio is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, SPDR Portfolio's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
SPDR Portfolio '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 SPDR Portfolio's etf 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 SPDR Portfolio.
| 10/29/2024 |
| 11/28/2024 |
If you would invest 0.00 in SPDR Portfolio on October 29, 2024 and sell it all today you would earn a total of 0.00 from holding SPDR Portfolio Corporate or generate 0.0% return on investment in SPDR Portfolio over 30 days. SPDR Portfolio is related to or competes with SPDR Barclays, SPDR Portfolio, SPDR Portfolio, SPDR Barclays, and SPDR Portfolio. The fund generally invests substantially all, but at least 80, of its total assets in the securities comprising the inde... More
SPDR Portfolio 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 SPDR Portfolio's etf 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 SPDR Portfolio Corporate upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.37) | |||
| Maximum Drawdown | 1.68 | |||
| Value At Risk | (0.57) | |||
| Potential Upside | 0.5111 |
SPDR Portfolio Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SPDR Portfolio's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SPDR Portfolio's standard deviation. In reality, there are many statistical measures that can use SPDR Portfolio historical prices to predict the future SPDR Portfolio's volatility.| Risk Adjusted Performance | (0.02) | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.07) | |||
| Treynor Ratio | 1.08 |
SPDR Portfolio Corporate Backtested Returns
As of now, SPDR Etf is very steady. SPDR Portfolio Corporate owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0108, which indicates the etf had a 0.0108% return per unit of volatility over the last 3 months. We have found twenty-three technical indicators for SPDR Portfolio Corporate, which you can use to evaluate the volatility of the etf. Please validate SPDR Portfolio's risk adjusted performance of (0.02), and Variance of 0.1236 to confirm if the risk estimate we provide is consistent with the expected return of 0.0039%. The entity has a beta of -0.0125, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning SPDR Portfolio are expected to decrease at a much lower rate. During the bear market, SPDR Portfolio is likely to outperform the market.
Auto-correlation | 0.21 |
Weak predictability
SPDR Portfolio Corporate has weak predictability. Overlapping area represents the amount of predictability between SPDR Portfolio time series from 29th of October 2024 to 13th of November 2024 and 13th of November 2024 to 28th 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 SPDR Portfolio Corporate price movement. The serial correlation of 0.21 indicates that over 21.0% of current SPDR Portfolio price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.21 | |
| Spearman Rank Test | 0.24 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
SPDR Portfolio Corporate lagged returns against current returns
Autocorrelation, which is SPDR Portfolio etf'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 SPDR Portfolio's etf expected returns. We can calculate the autocorrelation of SPDR Portfolio returns to help us make a trade decision. For example, suppose you find that SPDR Portfolio has exhibited high autocorrelation historically, and you observe that the etf 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 |
SPDR Portfolio 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 SPDR Portfolio etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SPDR Portfolio etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SPDR Portfolio etf over time.
Current vs Lagged Prices |
| Timeline |
SPDR Portfolio Lagged Returns
When evaluating SPDR Portfolio's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SPDR Portfolio etf have on its future price. SPDR Portfolio 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, SPDR Portfolio autocorrelation shows the relationship between SPDR Portfolio etf current value and its past values and can show if there is a momentum factor associated with investing in SPDR Portfolio Corporate.
Regressed Prices |
| Timeline |
Pair Trading with SPDR Portfolio
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 SPDR Portfolio 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 SPDR Portfolio will appreciate offsetting losses from the drop in the long position's value.Moving together with SPDR Etf
| 1.0 | LQD | iShares iBoxx Investment Aggressive Push | PairCorr |
| 1.0 | IGIB | iShares 5 10 | PairCorr |
| 1.0 | USIG | iShares Broad USD | PairCorr |
| 0.99 | SPIB | SPDR Barclays Interm | PairCorr |
| 1.0 | SUSC | iShares ESG USD | PairCorr |
Moving against SPDR Etf
| 0.65 | VUG | Vanguard Growth Index | PairCorr |
| 0.6 | VTI | Vanguard Total Stock | PairCorr |
| 0.6 | SPY | SPDR SP 500 Aggressive Push | PairCorr |
| 0.6 | IVV | iShares Core SP | PairCorr |
| 0.59 | VO | Vanguard Mid Cap | PairCorr |
The ability to find closely correlated positions to SPDR Portfolio could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace SPDR Portfolio 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 SPDR Portfolio - 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 SPDR Portfolio Corporate to buy it.
The correlation of SPDR Portfolio 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 SPDR Portfolio moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if SPDR Portfolio Corporate 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 SPDR Portfolio 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 SPDR Portfolio Correlation, SPDR Portfolio Volatility and SPDR Portfolio Alpha and Beta module to complement your research on SPDR Portfolio. You can also try the Aroon Oscillator module to analyze current equity momentum using Aroon Oscillator and other momentum ratios.
SPDR Portfolio technical etf 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, etf market cycles, or different charting patterns.