Spdr Sp Insurance Etf Market Value
| KIE Etf | USD 61.86 0.31 0.50% |
| Symbol | SPDR |
The market value of SPDR SP Insurance 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.
| 10/28/2024 |
| 11/27/2024 |
If you would invest 0.00 in SPDR SP on October 28, 2024 and sell it all today you would earn a total of 0.00 from holding SPDR SP Insurance or generate 0.0% return on investment in SPDR SP over 30 days. SPDR SP is related to or competes with SPDR SP, IShares Insurance, SPDR SP, IShares Broker, and SPDR SP. In seeking to track the performance of the SP Insurance Select Industry Index , the fund employs a sampling strategy 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 Insurance upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.07 | |||
| Information Ratio | 0.0458 | |||
| Maximum Drawdown | 5.72 | |||
| Value At Risk | (1.21) | |||
| Potential Upside | 1.26 |
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 | 0.1318 | |||
| Jensen Alpha | 0.0447 | |||
| Total Risk Alpha | 0.0043 | |||
| Sortino Ratio | 0.0448 | |||
| Treynor Ratio | 0.1622 |
SPDR SP Insurance Backtested Returns
At this point, SPDR SP is very steady. SPDR SP Insurance owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.15, which indicates the etf had a 0.15% return per unit of volatility over the last 3 months. We have found twenty-eight technical indicators for SPDR SP Insurance, which you can use to evaluate the volatility of the etf. Please validate SPDR SP's coefficient of variation of 591.93, and Risk Adjusted Performance of 0.1318 to confirm if the risk estimate we provide is consistent with the expected return of 0.16%. The entity has a beta of 1.03, which indicates a somewhat significant risk relative to the market. SPDR SP returns are very sensitive to returns on the market. As the market goes up or down, SPDR SP is expected to follow.
Auto-correlation | 0.86 |
Very good predictability
SPDR SP Insurance has very good predictability. Overlapping area represents the amount of predictability between SPDR SP time series from 28th of October 2024 to 12th of November 2024 and 12th of November 2024 to 27th 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 Insurance price movement. The serial correlation of 0.86 indicates that approximately 86.0% of current SPDR SP price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.86 | |
| Spearman Rank Test | 0.53 | |
| Residual Average | 0.0 | |
| Price Variance | 0.91 |
SPDR SP Insurance 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 Insurance.
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.When determining whether SPDR SP Insurance is a strong investment it is important to analyze SPDR SP's 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 SP's future performance. For an informed investment choice regarding SPDR Etf, refer to the following important reports: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 Instant Ratings module to determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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.