Macroaxis considers MetLife to be not too volatile. MetLife
has Sharpe Ratio of -0.1094 which conveys that MetLife
had -0.1094% of return per unit of risk over the last 2 months. Macroaxis philosophy towards estimating risk of any stock is to look at both systematic and un-systematic factors of the business, including all available market data and technical indicators
. MetLife exposes twenty-one different technical indicators
which can help you to evaluate volatility that cannot be diversified away. Please be advised to verify MetLife Mean Deviation
of 1.87 and Risk Adjusted Performance
of (0.17) to check out risk estimate we provide. Macroaxis gives MetLife performance score of 0 on a scale of 0 to 100. The company secures Beta (Market Risk) of 0.9326 which conveys that MetLife returns are very sensitive to returns on the market. as market goes up or down, MetLife is expected to follow.. Even though it is essential to pay attention to MetLife price patterns, it is always good to be careful when utilizing equity historical price patterns. Macroaxis philosophy towards estimating future performance of any stock is to check both, its past performance charts as well as the business as a whole, including all available technical indicators. MetLife exposes twenty-one different technical indicators which can help you to evaluate its performance. MetLife has expected return of -0.2726%. Please be advised to verify MetLife Information Ratio, Potential Upside as well as the relationship between Potential Upside and Kurtosis to decide if MetLife past performance will be repeated at some point in the near future.
|15 days auto-correlation||(0.30) |
Weak reverse predictability
MetLife has weak reverse predictability. Overlapping area represents the amount of predictability between MetLife time series from October 10, 2018 to November 9, 2018 and November 9, 2018 to December 9, 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 MetLife price movement. The serial correlation of -0.3 indicates that nearly 30.0% of current MetLife price fluctuation can be explain by its past prices. Given that MetLife has negative autocorrelation for selected time horizon, investors may consider taking a contrarian position regarding future price movement of MetLife for similar time interval.
|Spearman Rank Test||0.32|