Spdr Marketaxess Investment Etf Market Value
| LQIG Etf | USD 96.21 1.15 1.21% |
| Symbol | SPDR |
The market value of SPDR MarketAxess Inv 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 MarketAxess' value that differs from its market value or its book value, called intrinsic value, which is SPDR MarketAxess' 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 MarketAxess' market value can be influenced by many factors that don't directly affect SPDR MarketAxess' 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 MarketAxess' value and its price as these two are different measures arrived at by different means. Investors typically determine if SPDR MarketAxess is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, SPDR MarketAxess' 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 MarketAxess '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 MarketAxess' 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 MarketAxess.
| 07/05/2023 |
| 11/26/2024 |
If you would invest 0.00 in SPDR MarketAxess on July 5, 2023 and sell it all today you would earn a total of 0.00 from holding SPDR MarketAxess Investment or generate 0.0% return on investment in SPDR MarketAxess over 510 days. SPDR MarketAxess is related to or competes with Senstar Technologies, ImmuCell, Anika Therapeutics, Morningstar Unconstrained, High-yield Municipal, Thrivent High, and Via Renewables. Under normal market conditions, the fund generally invests substantially all, but at least 80, of its total assets in th... More
SPDR MarketAxess 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 MarketAxess' 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 MarketAxess Investment upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.34) | |||
| Maximum Drawdown | 2.06 | |||
| Value At Risk | (0.66) | |||
| Potential Upside | 0.5591 |
SPDR MarketAxess Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SPDR MarketAxess' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SPDR MarketAxess' standard deviation. In reality, there are many statistical measures that can use SPDR MarketAxess historical prices to predict the future SPDR MarketAxess' volatility.| Risk Adjusted Performance | (0.03) | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.09) | |||
| Treynor Ratio | 1.32 |
SPDR MarketAxess Inv Backtested Returns
SPDR MarketAxess Inv owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0176, which indicates the etf had a -0.0176% return per unit of volatility over the last 3 months. SPDR MarketAxess Investment exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate SPDR MarketAxess' risk adjusted performance of (0.03), and Variance of 0.1717 to confirm the risk estimate we provide. The entity has a beta of -0.0168, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning SPDR MarketAxess are expected to decrease at a much lower rate. During the bear market, SPDR MarketAxess is likely to outperform the market.
Auto-correlation | 0.70 |
Good predictability
SPDR MarketAxess Investment has good predictability. Overlapping area represents the amount of predictability between SPDR MarketAxess time series from 5th of July 2023 to 16th of March 2024 and 16th of March 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 SPDR MarketAxess Inv price movement. The serial correlation of 0.7 indicates that around 70.0% of current SPDR MarketAxess price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.7 | |
| Spearman Rank Test | 0.59 | |
| Residual Average | 0.0 | |
| Price Variance | 6.58 |
SPDR MarketAxess Inv lagged returns against current returns
Autocorrelation, which is SPDR MarketAxess 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 MarketAxess' etf expected returns. We can calculate the autocorrelation of SPDR MarketAxess returns to help us make a trade decision. For example, suppose you find that SPDR MarketAxess 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 MarketAxess 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 MarketAxess etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SPDR MarketAxess etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SPDR MarketAxess etf over time.
Current vs Lagged Prices |
| Timeline |
SPDR MarketAxess Lagged Returns
When evaluating SPDR MarketAxess' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SPDR MarketAxess etf have on its future price. SPDR MarketAxess 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 MarketAxess autocorrelation shows the relationship between SPDR MarketAxess etf current value and its past values and can show if there is a momentum factor associated with investing in SPDR MarketAxess Investment.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
When determining whether SPDR MarketAxess Inv is a strong investment it is important to analyze SPDR MarketAxess' competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact SPDR MarketAxess' future performance. For an informed investment choice regarding SPDR Etf, refer to the following important reports:Check out SPDR MarketAxess Correlation, SPDR MarketAxess Volatility and SPDR MarketAxess Alpha and Beta module to complement your research on SPDR MarketAxess. You can also try the Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
SPDR MarketAxess 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.