Spdr Kensho Clean Etf Market Value
| CNRG Etf | USD 62.13 0.30 0.49% |
| Symbol | SPDR |
The market value of SPDR Kensho Clean 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 Kensho's value that differs from its market value or its book value, called intrinsic value, which is SPDR Kensho'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 Kensho's market value can be influenced by many factors that don't directly affect SPDR Kensho'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 Kensho's value and its price as these two are different measures arrived at by different means. Investors typically determine if SPDR Kensho is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, SPDR Kensho'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 Kensho '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 Kensho'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 Kensho.
| 10/23/2024 |
| 11/22/2024 |
If you would invest 0.00 in SPDR Kensho on October 23, 2024 and sell it all today you would earn a total of 0.00 from holding SPDR Kensho Clean or generate 0.0% return on investment in SPDR Kensho over 30 days. SPDR Kensho is related to or competes with ALPS Clean, VanEck Low, Invesco Global, SPDR Kensho, and First Trust. Under normal market conditions, the fund generally invests substantially all, but at least 80, of its total assets in th... More
SPDR Kensho 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 Kensho'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 Kensho Clean upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.16 | |||
| Information Ratio | (0.02) | |||
| Maximum Drawdown | 10.89 | |||
| Value At Risk | (2.78) | |||
| Potential Upside | 2.73 |
SPDR Kensho Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SPDR Kensho's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SPDR Kensho's standard deviation. In reality, there are many statistical measures that can use SPDR Kensho historical prices to predict the future SPDR Kensho's volatility.| Risk Adjusted Performance | 0.0283 | |||
| Jensen Alpha | 0.0115 | |||
| Total Risk Alpha | (0.17) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | 0.1138 |
SPDR Kensho Clean Backtested Returns
At this point, SPDR Kensho is very steady. SPDR Kensho Clean owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0071, which indicates the etf had a 0.0071% return per unit of volatility over the last 3 months. We have found thirty technical indicators for SPDR Kensho Clean, which you can use to evaluate the volatility of the etf. Please validate SPDR Kensho's coefficient of variation of 3393.15, and Risk Adjusted Performance of 0.0283 to confirm if the risk estimate we provide is consistent with the expected return of 0.0131%. The entity has a beta of 0.41, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, SPDR Kensho's returns are expected to increase less than the market. However, during the bear market, the loss of holding SPDR Kensho is expected to be smaller as well.
Auto-correlation | -0.15 |
Insignificant reverse predictability
SPDR Kensho Clean has insignificant reverse predictability. Overlapping area represents the amount of predictability between SPDR Kensho time series from 23rd of October 2024 to 7th of November 2024 and 7th of November 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 Kensho Clean price movement. The serial correlation of -0.15 indicates that less than 15.0% of current SPDR Kensho price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.15 | |
| Spearman Rank Test | -0.22 | |
| Residual Average | 0.0 | |
| Price Variance | 0.56 |
SPDR Kensho Clean lagged returns against current returns
Autocorrelation, which is SPDR Kensho 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 Kensho's etf expected returns. We can calculate the autocorrelation of SPDR Kensho returns to help us make a trade decision. For example, suppose you find that SPDR Kensho 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 Kensho 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 Kensho etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SPDR Kensho etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SPDR Kensho etf over time.
Current vs Lagged Prices |
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SPDR Kensho Lagged Returns
When evaluating SPDR Kensho's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SPDR Kensho etf have on its future price. SPDR Kensho 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 Kensho autocorrelation shows the relationship between SPDR Kensho etf current value and its past values and can show if there is a momentum factor associated with investing in SPDR Kensho Clean.
Regressed Prices |
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Currently Active Assets on Macroaxis
When determining whether SPDR Kensho Clean is a strong investment it is important to analyze SPDR Kensho'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 Kensho's future performance. For an informed investment choice regarding SPDR Etf, refer to the following important reports:Check out SPDR Kensho Correlation, SPDR Kensho Volatility and SPDR Kensho Alpha and Beta module to complement your research on SPDR Kensho. You can also try the Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
SPDR Kensho 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.