The performance numbers include distributions/dividends (if there are any). Therefore in this case the maximum drawdown would be (5€ - 10€)/10€ = -50%. For example, if there was the following sequence of daily ETF prices: 10€, 5€, 12€, 20€, an investor would have suffered the worst loss by buying for 10€ and subsequently selling for 5€. This shows the worst possible loss an investor could have suffered during the respective period, by first buying and subsequently selling the ETF at the least favourable prices. We calculate this parameter for 1, 3 and 5 year periods to display its evolution over time. The metric puts the historical return of an ETF in relation to its historical risk and gives you a retrospective indication of the degree of price fluctuation you had to bear with in order to obtain the ETF’s return. converted to a one year period) past return divided by the past annualised volatility. Return per risk for 1, 3 and 5 year periods. ams-OSRAM AG (ams.VIE) : Stock quote, stock chart, quotes, analysis, advice, financials and news for Stock ams-OSRAM AG Wiener Boerse.The Stock Performance of ams AG is significantly lower than the stock performance of its index. stock quotes reflect trades reported through Nasdaq only. The price change percentage of ams AG over the last month is -19.00. View the latest market news and prices, and trading information. We calculate the volatility based on the data for the past 1, 3 and 5 years so that you can see if price fluctuations for the ETF became stronger or weaker over time. The Stock Price change percentage is a relevant indicator for computing stock performance. The company was formerly known as ams AG and changed its name to ams-OSRAM AG in January 2022. ETFs with higher volatility are generally considered more risky. Get The Latest AMSSY Stock Forecast, Price Target, Dividend Info, and Headlines at MarketBeat. The greater the volatility, the more significantly the price of the ETF changed in the past. The annualised volatility reflects the degree of price fluctuations during a one year period. Volatility, annualised, measured for 1, 3 and 5 year periods.
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