Spdr Sp Transportation Etf Market Value
| XTN Etf | USD 91.39 0.87 0.96% |
| Symbol | SPDR |
The market value of SPDR SP Transportation 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 SP's value that differs from its market value or its book value, called intrinsic value, which is SPDR SP'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 SP's market value can be influenced by many factors that don't directly affect SPDR SP'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 SP's value and its price as these two are different measures arrived at by different means. Investors typically determine if SPDR SP is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, SPDR SP'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 SP '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 SP'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 SP.
| 11/28/2023 |
| 11/22/2024 |
If you would invest 0.00 in SPDR SP on November 28, 2023 and sell it all today you would earn a total of 0.00 from holding SPDR SP Transportation or generate 0.0% return on investment in SPDR SP over 360 days. SPDR SP is related to or competes with First Trust, Direxion Daily, FlexShares STOXX, Select STOXX, Fidelity MSCI, Invesco SP, and IShares Global. In seeking to track the performance of the SP Transportation Select Industry Index , the fund employs a sampling strateg... More
SPDR SP 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 SP'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 SP Transportation upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.03 | |||
| Information Ratio | 0.1241 | |||
| Maximum Drawdown | 8.06 | |||
| Value At Risk | (1.58) | |||
| Potential Upside | 2.19 |
SPDR SP Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SPDR SP's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SPDR SP's standard deviation. In reality, there are many statistical measures that can use SPDR SP historical prices to predict the future SPDR SP's volatility.| Risk Adjusted Performance | 0.1504 | |||
| Jensen Alpha | 0.1264 | |||
| Total Risk Alpha | 0.1001 | |||
| Sortino Ratio | 0.1659 | |||
| Treynor Ratio | 0.169 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of SPDR SP'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.
SPDR SP Transportation Backtested Returns
SPDR SP appears to be very steady, given 3 months investment horizon. SPDR SP Transportation owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.19, which indicates the etf had a 0.19% return per unit of volatility over the last 3 months. We have found twenty-nine technical indicators for SPDR SP Transportation, which you can use to evaluate the volatility of the etf. Please review SPDR SP's coefficient of variation of 516.35, and Risk Adjusted Performance of 0.1504 to confirm if our risk estimates are consistent with your expectations. The entity has a beta of 1.51, which indicates a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, SPDR SP will likely underperform.
Auto-correlation | -0.43 |
Modest reverse predictability
SPDR SP Transportation has modest reverse predictability. Overlapping area represents the amount of predictability between SPDR SP time series from 28th of November 2023 to 26th of May 2024 and 26th of May 2024 to 22nd 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 SP Transportation price movement. The serial correlation of -0.43 indicates that just about 43.0% of current SPDR SP price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.43 | |
| Spearman Rank Test | -0.2 | |
| Residual Average | 0.0 | |
| Price Variance | 23.09 |
SPDR SP Transportation lagged returns against current returns
Autocorrelation, which is SPDR SP 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 SP's etf expected returns. We can calculate the autocorrelation of SPDR SP returns to help us make a trade decision. For example, suppose you find that SPDR SP 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 SP 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 SP etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SPDR SP etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SPDR SP etf over time.
Current vs Lagged Prices |
| Timeline |
SPDR SP Lagged Returns
When evaluating SPDR SP's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SPDR SP etf have on its future price. SPDR SP 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 SP autocorrelation shows the relationship between SPDR SP etf current value and its past values and can show if there is a momentum factor associated with investing in SPDR SP Transportation.
Regressed Prices |
| Timeline |
Pair Trading with SPDR SP
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 SP 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 SP will appreciate offsetting losses from the drop in the long position's value.Moving together with SPDR Etf
| 0.91 | XLI | Industrial Select Sector | PairCorr |
| 0.87 | DRVN | Driven Brands Holdings | PairCorr |
| 0.72 | ITA | iShares Aerospace Defense | PairCorr |
| 0.94 | VIS | Vanguard Industrials | PairCorr |
| 0.96 | JETS | US Global Jets | PairCorr |
Moving against SPDR Etf
| 0.95 | BITI | ProShares Trust | PairCorr |
| 0.77 | HART | IQ Healthy Hearts | PairCorr |
| 0.6 | GREI | Goldman Sachs Future | PairCorr |
The ability to find closely correlated positions to SPDR SP 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 SP 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 SP - 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 SP Transportation to buy it.
The correlation of SPDR SP 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 SP moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if SPDR SP Transportation 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 SP 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 SP Correlation, SPDR SP Volatility and SPDR SP Alpha and Beta module to complement your research on SPDR SP. You can also try the Funds Screener module to find actively-traded funds from around the world traded on over 30 global exchanges.
SPDR SP 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.