IT Sector Update

 
Here we made a comparison of returns of CNX IT and nifty. The green line shows the propotion of CNX IT return to Nifty return. Had we gone long on CNX IT and simultaneously gone short on Nifty in the beginning of this February, then we would be able to generate a return of around 20%.
JISEKI CYCLES
The risk metrics are driven by our Jiseki Time cycles, which are seasonal patterns of strength or weakness in assets. They are derived from percentile rankings from 1 to 100. The higher the percentile more the chance for an asset to weaken and worst the ranking, better the chance for the respective asset to outperform. 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. Jiseki is another name for Performance cycles, time triads and time fractals. The signals are illustrated as a running portfolio and as Jiseki Indices. These signals can be used by fund managers for relative allocations, traders for leverage bets and high net worth clients for selective trades.
Jiseki Interpretation. Signals are interpreted as crossovers between various Jiseki Cycles. All three Jiseki cycles (Jiseki 1,2 and 3) depict different time frames. Example: An asset is ranked above 80 percentile and all the three Jiseki cycles are pointing lower, this suggests a running SHORT SIGNAL. Our Jiseki Indices use different kind of exits based on price and Jiseki Cycles. We have color coded the (Jiseki 1>Jiseki 2) SHORT zones with brown sandy (burlywood) and grey (Jiseki 1>Jiseki2) for LONG SIGNALS.
 

Ayushi has done her masters in economics from Delhi School of Economics and then completed her Post-Graduation in Finance from National Institute of Securities Markets. She completed her graduation in Economics from Lady Shri Ram College. A keen econometrician, Ayushi enjoys financial modeling and risk management.