ilmscore | Prediction Details
"once we apply our forensics screen uh roughly you know we lose around 200 odd companies. So we left with around 300 odd companies from that again if you apply the second bast which is uh your depth to equity uh you know the debt to equity ratio. So we you know again remove companies which are overleveraged and then we also look for consistency of the profitability right so this is the third step so after these three steps you know we are left with around 80 to 100 companies on these 80 80 to 100 companies we look for companies which are both profitable as well as undervalued and when I say undervalued again going back to what sort of mentioned we're looking at under valuation with respect to their free cash flow generation ability right so if the company's price is cheap or you know uh is you know it looks undervalued with respect to its pre-cast regionability."
By CA Rachana Phadke Ranade | February 23, 2023 | Pending
From video
Navigating Market Volatility with Saurabh Mukherjea | CA Rachana Ranade 00:34:51 - 00:35:52
Interpreted Prediction
The Merit Q quant approach starts with the top 500 stocks, screens out companies using forensics (leaving ~300), then removes overleveraged companies, and finally identifies profitable and undervalued companies based on free cash flow generation.

Prediction Details

Topic
Merit Q Quant Approach

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