NASDAQ Asia Performance

NQASIA8000LMJPY -- USA Index  

 1,148  4.63  0.40%

The entity secures Beta (Market Risk) of 0.0 which conveys that the returns on MARKET and NASDAQ Asia are completely uncorrelated. Although it is extremely important to respect NASDAQ Asia Financials price patterns, it is better to be realistic regarding the information on equity historical price patterns. The approach into 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 inspecting NASDAQ Asia Financials technical indicators you can now evaluate if the expected return of 0.0% will be sustainable into the future.
Horizon     30 Days    Login   to change

NASDAQ Asia Financials Relative Risk vs. Return Landscape

If you would invest  114,820  in NASDAQ Asia Financials Large Mi on September 14, 2019 and sell it today you would earn a total of  0.00  from holding NASDAQ Asia Financials Large Mi or generate 0.0% return on investment over 30 days. NASDAQ Asia Financials Large Mi is generating negative expected returns and assumes 0.0% volatility on return distribution over the 30 days horizon. Simply put, 0% of equities are less volatile than NASDAQ Asia and 99% of equity instruments are likely to generate higher returns than the company over the next 30 trading days.
 Daily Expected Return (%) 
      Risk (%) 

NASDAQ Asia Market Risk Analysis

Sharpe Ratio = 0.0
Best
Portfolio
Best
Equity
Good Returns
Average Returns
Small Returns
CashSmall
Risk
Average
Risk
High
Risk
Huge
Risk
NQASIA8000LMJPY
Based on monthly moving average NASDAQ Asia is performing at about 0% of its full potential. If added to a well diversified portfolio the total return can be enhanced and market risk can be reduced. You can increase risk-adjusted return of NASDAQ Asia by adding it to a well-diversified portfolio.

NASDAQ Asia Alerts

Equity Alerts and Improvement Suggestions

NASDAQ Asia is not yet fully synchronised with the market data
See also Your Current Watchlist. Please also try My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
Search macroaxis.com