KSDJ 175 (Israel) Performance

The etf secures Beta (Market Risk) of 0.0 which conveys that the returns on MARKET and KSDJ 175 are completely uncorrelated. Although it is extremely important to respect KSDJ-175 price patterns, it is better to be realistic regarding the information on equity historical price patterns. The way of estimating future performance of any etf is to evaluate the business as a whole together with its past performance including all available fundamental and technical indicators. By inspecting KSDJ-175 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

KSDJ-175 Relative Risk vs. Return Landscape

If you would invest  0.00  in KSDJ-175 on November 15, 2018 and sell it today you would earn a total of  0.00  from holding KSDJ-175 or generate 0.0% return on investment over 30 days. KSDJ-175 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 KSDJ-175 and 99% of equity instruments are likely to generate higher returns than the company over the next 30 trading days.
 Daily Expected Return (%) 
      Risk (%) 

KSDJ 175 Market Risk Analysis

Sharpe Ratio = 0.0
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Based on monthly moving average KSDJ 175 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 KSDJ 175 by adding it to a well-diversified portfolio.

KSDJ 175 Performance Rating

KSDJ-175 Risk Adjusted Performance Analysis


Risk-Adjusted Performance

Over the last 30 days KSDJ-175 has generated negative risk-adjusted returns adding no value to investors with long positions.

KSDJ 175 Alerts

Equity Alerts and Improvement Suggestions

KSDJ-175 is not yet fully synchronised with the market data
KSDJ-175 has some characteristics of a very speculative penny stock
Please see also Stocks Correlation. Please also try Watchlist Optimization module to optimize watchlists to build efficient portfolio or rebalance existing positions based on mean-variance optimization algorithm.
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