has Sharpe Ratio of 0.0983 which conveys that NYSE
had 0.0983% of return per unit of standard deviation over the last 1 month. Our philosophy towards estimating volatility of a index is to use all available market data together with company specific technical indicators
that cannot be diversified away. We have found twenty-one technical indicators
for NYSE which you can use to evaluate future volatility of the organization. The index secures Beta (Market Risk) of 0.0 which conveys that the returns on MARKET and NYSE are completely uncorrelated. Although it is extremely important to respect NYSE price patterns
, it is better to be realistic regarding the information on equity historical price patterns
. The philosophy towards estimating future performance of any index is to evaluate the business as a whole together with its past performance including all available fundamental and technical indicators
. By reviewing NYSE technical indicators
you can currently evaluate if the expected return of 0.0505% will be sustainable into the future.
|15 days auto-correlation|| 0.35 |
Below average predictability
NYSE has below average predictability. Overlapping area represents the amount of predictability between NYSE time series from June 22, 2018 to July 7, 2018 and July 7, 2018 to July 22, 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 NYSE price movement. The serial correlation of 0.35 indicates that nearly 35.0% of current NYSE price fluctuation can be explain by its past prices.
|Correlation Coefficient|| 0.35|
|Spearman Rank Test|| 0.13|
|Price Variance|| 1232.92|
|Lagged Price Variance|| 10360.04|