Macroaxis considers SPDR Portfolio to be not too risky. SPDR Portfolio Interm
owns Efficiency Ratio (i.e. Sharpe Ratio) of -0.0791 which indicates SPDR Portfolio Interm
had -0.0791% of return per unit of volatility over the last 2 months. Macroaxis approach towards measuring risk of any etf is to look at both systematic and un-systematic factors of the business, including all available market data and technical indicators
. SPDR Portfolio Interm Term Corp Bd ETF exposes twenty-one different technical indicators
which can help you to evaluate volatility that cannot be diversified away. Please be advised to validate SPDR Portfolio Risk Adjusted Performance
of (0.18) and Coefficient Of Variation of (1,539) to confirm risk estimate we provide. The entity has beta of -0.0134 which indicates as returns on market increase, returns on owning SPDR Portfolio are expected to decrease at a much smaller rate. During bear market, SPDR Portfolio is likely to outperform the market.. Even though it is essential to pay attention to SPDR Portfolio Interm current price movements, it is always good to be careful when utilizing equity historical returns. Macroaxis approach towards measuring future performance of any etf is to check both, its past performance charts as well as the business as a whole, including all available technical indicators. SPDR Portfolio Interm Term Corp Bd ETF exposes twenty-one different technical indicators which can help you to evaluate its performance.
Virtually no predictability
SPDR Portfolio Interm Term Corp Bd ETF has virtually no predictability. Overlapping area represents the amount of predictability between SPDR Portfolio time series from October 16, 2018 to November 15, 2018 and November 15, 2018 to December 15, 2018. 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 Portfolio Interm price movement. The serial correlation of 0.07 indicates that barely 7.0% of current SPDR Portfolio price fluctuation can be explain by its past prices.