ALPHA ETF (Greece) Market Value
| AETF Etf | EUR 39.48 0.53 1.36% |
| Symbol | ALPHA |
Please note, there is a significant difference between ALPHA ETF's value and its price as these two are different measures arrived at by different means. Investors typically determine if ALPHA ETF is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, ALPHA ETF'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.
ALPHA ETF '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 ALPHA ETF'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 ALPHA ETF.
| 12/01/2024 |
| 03/01/2025 |
If you would invest 0.00 in ALPHA ETF on December 1, 2024 and sell it all today you would earn a total of 0.00 from holding ALPHA ETF FTSE or generate 0.0% return on investment in ALPHA ETF over 90 days. More
ALPHA ETF 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 ALPHA ETF'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 ALPHA ETF FTSE upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.8905 | |||
| Information Ratio | 0.272 | |||
| Maximum Drawdown | 5.9 | |||
| Value At Risk | (0.97) | |||
| Potential Upside | 1.71 |
ALPHA ETF Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for ALPHA ETF's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as ALPHA ETF's standard deviation. In reality, there are many statistical measures that can use ALPHA ETF historical prices to predict the future ALPHA ETF's volatility.| Risk Adjusted Performance | 0.1914 | |||
| Jensen Alpha | 0.2245 | |||
| Total Risk Alpha | 0.2481 | |||
| Sortino Ratio | 0.273 | |||
| Treynor Ratio | 1.17 |
ALPHA ETF FTSE Backtested Returns
ALPHA ETF appears to be very steady, given 3 months investment horizon. ALPHA ETF FTSE secures Sharpe Ratio (or Efficiency) of 0.26, which signifies that the etf had a 0.26 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for ALPHA ETF FTSE, which you can use to evaluate the volatility of the entity. Please makes use of ALPHA ETF's risk adjusted performance of 0.1914, and Mean Deviation of 0.6125 to double-check if our risk estimates are consistent with your expectations. The etf shows a Beta (market volatility) of 0.19, which signifies not very significant fluctuations relative to the market. As returns on the market increase, ALPHA ETF's returns are expected to increase less than the market. However, during the bear market, the loss of holding ALPHA ETF is expected to be smaller as well.
Auto-correlation | 0.87 |
Very good predictability
ALPHA ETF FTSE has very good predictability. Overlapping area represents the amount of predictability between ALPHA ETF time series from 1st of December 2024 to 15th of January 2025 and 15th of January 2025 to 1st of March 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of ALPHA ETF FTSE price movement. The serial correlation of 0.87 indicates that approximately 87.0% of current ALPHA ETF price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.87 | |
| Spearman Rank Test | 0.79 | |
| Residual Average | 0.0 | |
| Price Variance | 0.92 |
ALPHA ETF FTSE lagged returns against current returns
Autocorrelation, which is ALPHA ETF 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 ALPHA ETF's etf expected returns. We can calculate the autocorrelation of ALPHA ETF returns to help us make a trade decision. For example, suppose you find that ALPHA ETF 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 |
ALPHA ETF 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 ALPHA ETF etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if ALPHA ETF etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in ALPHA ETF etf over time.
Current vs Lagged Prices |
| Timeline |
ALPHA ETF Lagged Returns
When evaluating ALPHA ETF's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of ALPHA ETF etf have on its future price. ALPHA ETF 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, ALPHA ETF autocorrelation shows the relationship between ALPHA ETF etf current value and its past values and can show if there is a momentum factor associated with investing in ALPHA ETF FTSE.
Regressed Prices |
| Timeline |
Thematic Opportunities
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Other Information on Investing in ALPHA Etf
ALPHA ETF financial ratios help investors to determine whether ALPHA Etf is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in ALPHA with respect to the benefits of owning ALPHA ETF security.