Bharat 22 ETF FFO – Should you Invest?

Bharat 22 ETF opened its FFO (Further Fund Offer) starting June 19th, 2018 for anchor investors followed by other investors from June 20th to 22nd. link Wait, Back up a little. ETF? Bharat22? FFO? And most importantly, should you invest? Exchange Traded Funds and how they differ from Mutual Funds ETFs or Exchange Traded Funds are baskets of securities traded real-time on exchanges, just like individual stocks. They differ from mutual funds in two key ways: Structure: An investor buying ETF units is usually buying pre-built blocks of shares created by the asset manager or from other investors. With a mutual fund, the

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The curious case of HUL and how the markets play favourites

Hindustan Unilever just posted its results for the quarter ending March 2018. A healthy 14% year-on-year increase in net profit mostly attributable to a poor base quarter. HUL stock price promptly went up from around 1504 to 1574, a 4% increase in a couple of days. It is now valued at 65 times Earnings This means, If HUL’s profits stay the same and it paid out all of it’s profits to shareholders, it would take 65 years for a shareholder to recover her current buy price. For context, the NIFTY is at 27 times earnings. Chart shows HUL Earnings and

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The most profitable industries in India

If you were to guess which are the most profitable industries in India on a PBITDA basis, what would your top 3 guesses be? How about the least profitable industries? Chances are you didn’t guess Marine Port & Services, Roads & Highways and Mining for the former and Commercial vehicles, Storage Media & Peripherals for the latter. Chart shows the top 10 most PBITDA profitable industries in India as of the last financial year. It also shows the PBITDA for the period 2012 to 2016 for comparison as well as the most profitable industry in each sector. Note that sectors with aggregate

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The complete list of 2018 stock recommendations

When I started investing in equities, I used to be in awe of equity research reports. Immaculately formatted 5-page documents with their glossy charts and tables of financial projections followed by a confident Buy / Sell / Hold recommendation based on a precise target price. I figured those target prices were arrived at by hardcore sector experts working with proprietary excel models of such complexity they would probably crash any computer with conventional specifications. That awe lasted until I realized the “models” in use might as well have been random number generators due to their sensitivity to assumptions about an unknowable

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