Global Stock Market Indices PE Ratio At a Glance (4 April 2015)

Market Indices PE Ratio for Major Stock Exchange globally

  • US: Dow Jones Industrial, S&P500, NASDAQ, Russell 2000
  • Europe: FTSE100, CAC40, DAX
  • Asia: KLCI, STI, HangSeng, ASX200, CSI 300, JCI, SET, KOPSI, NIKKEI 225, SENSEX, TWSE, NZX50, PSEi

Global Stock Market PE PB Ratio Summary April3-2015

Dow Jones Industrial, S&P500 and NASDAQ are in the sideway consolidation mode but still above 200D SMA.  Average PE ratio no change at 21.17.  Most of the stock market now are overvalue now. Watch out for the seasonal pattern – Sell in May and Go away.  VIX closed at 14.67 for Mar 2015.

VIX April3-2015


See Feb 2015 Global Stock Market PE Ratio here.

Shiller PE Ratio April3-2015S&P500 PB Ratio April3-2015S&P500 Dividend Yield April3-2015

  • PE  = Price Per Earning
  • PB = Price To Book Value

Dow Jones Industrial, S&P500, NASDAQ, Russel 2000 Charts

  • INDU, SPX, COMP are still on uptrend but showing dangerous reversal chart pattern. Currently INDU & SPX are forming multiple tops; COMP is showing Double Tops pattern.
  • RUT broke out from the Rectangle and starts an new up trend.

DJI April3-2015SPX April3-2015NASDAQ April3-2015Russell 2000 RUT April3-2015

Past 1 Month Sector Performance

Sector Performance April3-2015

Treasury Yield

US 5 Year Treasuy Yield April3-2015US 10 Year Treasuy Yield April3-2015US 30 Year Treasuy Yield April3-2015

Yield Curve

Yield Curve April3-2015

If you want to understand how to conduct the above stock market analysis, how and where to find the free (and right) data from internet, how to analyse the data, how to combine all the analysis to form an own opinion to predict the stock market next moment? How to use the Yield Curve to anticipate the stock market movement. Check out the Fundamental Analysis Class here.



This Post Has 2 Comments

  1. vinita

    i need march month update for Global Stock Market Indices PE Ratio At a Glance
    from where i can get this update?
    i will be waiting for your reply.

  2. Marubozu

    @vinita: You can get the data from bloomberg.

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