Archive for December 19th, 2011

The priceless Mastercard?

 

These are the top ranked early economic (financial IT) sector stocks in USA.

And this is MASTERCARD which has a topping Jiseki asking us three things.

1) If the current crisis has cost a few trillion dollars.
2) And the monetary stimulus is a few billion dollars every quarter.
3) Then how can the Mastercard be priceless?

 

We think Mastercard is set to underperform, as quarterly Jiseki tops.





To read more of Jiseki Cycle updates mail us today.

 

Dr. Ionut Nistor is the co-author of Performance Cycles paper published in Kyoto Economics Journal. Ionut has been part of the core team that developed and nurtured the idea of Alpha products since July 2008. Ionut is also a professor of Corporate Finance. Currently he is pursuing his post doctorate studies at Kobe University in Japan. He is fluent in Japanese, Romanian and English.

The Bric Model from a Japanese Perspective
Ionut Nistor – Econohistory

Performance cycles is a term coined by Orpheus Capitals. This is another name for time triads, time arbitrage, time fractals but expressed in terms of relative performance. It’s a bounded oscillator that moves in a range say from 1 to 100. 100 is top relative performance and 1 is worst performance. The idea is that performance is cyclical. A top performer will underperform in future and vice versa. A top relative performer is also the worst value pick and the top relative underperformer is the best value pick.


THE TECH SPECIAL

Will CNXIT underperform?
For how long?
What TECH Sector components are at key levels?
Why did CNXIT outperform till now?
What are the drivers for performance?

To read about the TECHNOLOGY SPECIAL download the latest ALPHA report from the Orpheus e-store.


Avinash Barnwal is Master of Science in Statistics and Informatics from IIT Kharagpur. He has worked on human response time at Department of Psychology, University of Amsterdam.  Avinash is a Quantitative Analyst at Orpheus developing money management solutions and building statistical models to address temporal challenges.