Goldman Sachs: 4 Killer Stock Picks For 2019 (Part II)

<< Read More: Goldman Sachs: 4 Killer Stock Picks For 2019 (Part I)

Goldman Sachs has just released a report that highlights exactly the kind of stocks you want to be thinking about right now.

These are ‘high quality’ stocks specially selected by the firm. And by ‘high-quality’ Goldman Sachs means stocks that meet the following 5 factors: strong balance sheets, stable sales growth, low deviation in operating income, low stock drawdown risk, and return-on-equity that exceeds peers. In other words, these stocks are the best-positioned to 1) withstand an economic slowdown; and 2) diminishing equity returns.

Let’s take a closer look at these top stock picks for 2019 now. Here we cover the second 4 stock picks:

1. Visa Inc (V)

This financial stock continues to outperform. Year-to-date, Visa (V Research Report) shares have surged over 20%.

And looking forward to 2019, there’s no reason why Visa’s outperformance can’t continue.

Indeed, top-rated Cantor Fitzgerald analyst Joseph Foresi (Track Record & Ratings) has just reiterated his V Buy rating. This comes with a bullish $160 price target — 15% upside potential.

“Strong growth continues” cheers Foresi, before writing: “We remain attracted to Visa’s dominant position in the global card network market and to its strong, recognizable international brand.”

Notably, Foresi highlighted Visa’s opportunity to capitalize on the global conversion of cash into credit, international opportunities, and digital payment tailwinds.

Meanwhile Visa Direct, contactless payments, and B2B all have the potential to drive share prices higher.

Out of 16 top analysts polled on this ‘Strong Buy’ stock, 15 are bullish. This is with a $167 average analyst price target.

(Click on image to enlarge)

View V Price Target & Analyst Ratings Detail

2. Booking Holdings Inc (BKNG)

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Disclaimer: TipRanks is an independent cloud based service that measures and ranks digitally published financial advice. TipRanks' natural language processing (NLP) algorithms aggregate and ...

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