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Amazon, Facebook, Twitter, Alphabet all come in better than expectations

Amazon:
  • revenues $96.15 billion vs.$92.70 billion estimate
  • EPS $12.37 vs. $7.41 estimate
  • the caveat is AWS numbers came in about expectations and apparently there was favorable taxes
  • Amazon shares are trading down at $3163 after closing at $3211
Facebook
  • EPS $2.71 vs. $1.91 estimate
  • revenues $21.47 billion vs. 19.28 billion estimate
  • Facebook shares are trading down at $275 after closing at $280.83

Twitter

  • revenues 936 million vs. 777 million estimate
  • earnings-per-share $0.19 adjusted vs. $0.06 estimate
  • Twitter is trading down at $46.33 after closing at $52.43
Alphabet
  • revenues 46.17 billion vs. 42.90 billion estimate
  • earnings-per-share $16.40 vs. $11.29 estimate
  • Alphabet shares are trading up at $1638 after closing at $1556.88
Starbucks
  • earnings-per-share $0.51 vs. $0.31 estimate
  • revenues $6.2 billion worth of $6.06 billion estimate
  • Starbucks shares are trading up at $89.40 after closing at$88.30

US stocks end the day near session lows.

A soft ending to the stock day

 The US stocks are ending the day just off the lows for the day. The NASDAQ index by the way with a -1.27% decline.
The final numbers are showing:
  • S&P index -20.97 points or -0.61% at 3218.44.
  • NASDAQ index fell -134.17 points or -1.27% at 10402.09
  • Dow industrial average fell by -205.49 points or -0.77% at 26379.28
After the close Starbucks is reporting a less than expected loss and a sales beat. They also expect the 4th quarter to show a significant rebound. Earnings-per-share came in at $-0.46 vs. $-0.59 expectations. The revenues also be at $4.2 billion vs. $4.06 billion estimate.
Amgen earnings and revenues came in better-than-expected. However after an early rise, the price is currently trading lower in after hour trading.  Earnings-per-share came in at $4.25 I was higher than the $3 and 84 expected. Revenues grew by $6.21 billion vs. expectations of $6.18 billion.
These earnings-per-share came in a little bit better at $1.07 vs. $1.03 expectations. Revenues were little light however at $4.8 billion vs. $4.82 billion expected
Ebay earnings came and at $1.08 vs. $1.06 expectations. They also raised their year end outlook

TSLA (Tesla) earnings released, Q2 EOPS

Q2 EPS 50c (vs. loss/share $2.310 y/y)

  • Free cash flow $418m, estimate loss $617.9m
  • revenue $6.04bn, estimate $5.40bn
Says delivering half million vehicles in 2020 remains the target
  • Says its Shanghai factory is progressing as planned
  • remains difficult to predict whether there will be further operational interruptions or how global consumer sentiment will evolve in H2 2020
It appears there is some financial engineering involved in generating that positive EPS number, generated a record amount from sales of regulatory credits of 428m USD

US MARKET : S&P on a 4 day winning streak. Dow on a 3 day streak

NASDAQ pushes higher and erases declines.

The major indices are closing higher on the day with the Dow industrial average leading the way today with a 0.62% gain. IT is the 3rd day in a row that the Dow has moved higher.
The S&P is on a 4 day winning streak. It closed up 0.58%.
The final numbers for the day are showing:
  • S&P index up 18.76 points or 0.58% at 3276.06
  • NASDAQ index up 25.765 points or 0.24% at 10706.12
  • Dpw up 165.33 points or 0.62% at 27005.73
Microsoft has reported better top line and bottom line numbers after the close. The revenues came in at $38.0 billion vs. estimate of $36.54 billion
The earnings-per-share came in at $1.46 vs. estimate of $1.37.
Microsoft shares are trading down 2.19% in early after close trading at $206.65. Shares closed at $211.75.

Nassim Taleb: Soros versus Buffett

If given a choice between investing with Buffett and billionaire investor George Soros, Taleb also said he would probably pick the latter.

 “I am not saying Buffett isn’t as good as Soros,” he said. “I am saying that the probability Soros’s returns come from randomness is much smaller because he did almost everything: he bought currencies, he sold currencies, he did arbitrages. He made a lot more decisions. Buffett followed a strategy to buy companies that had a certain earnings profile, and it worked for him. There is a lot more luck involved in this strategy.”

 [From: http://www.businessweek.com/news/2010-09-25/obama-s-stimulus-plan-made-crisis-worse-taleb-says.html]

 I have high respect for your intelligence and thinking, and I believe that “Fooled by Randomness” and “The Black Swan” are must-read books for everyone. However, I believe your observation on Warren Buffett is wrong.

 You justified your pick on Soros because you have observed his thousands if not millions of trades; therefore, giving you comfort that he is making decisions and his success, to quote what you said, is “2 million times more statistically evidence that his results are not by chance than Buffett does”.

 You are implying that Soros is making thousands more decisions that Buffett. It seems to me that your understanding of Buffett is superficial, leading to your flawed conclusion.

 During a meeting with MBA students from the University of Georgia in early 2007, Buffett told the group of students that “There were four Moody’s manuals at the time. I went through them all, page by page, over 10,000 pages twice. On page 1433, I found Western Insurance Securities. Its earnings per share were as follows: 1949 – $21.66, 1950 – $29.09. In 1951, the low-high share price was $3 – $13. Ten pages later, on page 1443, I found National American Fire Insurance….”

 Again, in 2004, Buffett searched through the entire Korean stock market by reading Citigroup Investment Guide to Korean Stocks (that is over 1,700 companies). In 4 hours he found 20 companies that he liked and put $100 million to work.

 These two examples illustrated that Buffett did make thousands of decisions of not to invest. Those who study Buffett intensely know that he works extreme hard and study all companies available from A to Z, leaving no stone unturned. Deciding not to buy is just as important as deciding to buy. However, inactivity is commonly misunderstood for not making any decision.

 To quote Albert Einstein, “Not everything that counts can be counted, and not everything that can be counted, counts.”

Standard & Poor’s 500 Guide, 2013 Edition

It’s commonplace for authors to write revised editions of their books. But book reviewers are not supposed to serve up revised editions of their reviews. The former are billed as new and improved; the latter seem nothing more than warmed-up fare. The problem is that sometimes it’s difficult to start from scratch when reviewing a book that, while completely new, is also identical in structure. Such is the case with the 2013 edition of the Standard & Poor’s 500 Guide. So, with apologies, herewith a revised edition of last year’s review.
This is a very big paperback—8 ½” x 11”, more than 1000 pages, and weighing in at about 4.5 lbs. With so much information available online, why would anyone need this book? I can think of several compelling reasons.
First, a personal preference: I enjoy flipping through pages, making serendipitous discoveries. (The one downside this year: thanks to UPS, the bottom of the book got wet, so the pages don’t exactly flip.) I don’t have the same kind of experience online since I normally am looking for something specific, not just seeing what comes my way. (more…)

The Graham Number

Ever heard of the Graham Number? This was a formula developed by Ben Graham, the father of securities analysis, to determine the fair value for a stock.
The Graham Number is:

The square root of [earnings-per-share * book-value-per-share * 22.5]

(Take note that earning-per-share divided by book-value-per-share is our good friend return on equity.)

Price, The Conscious Investor

John Price, author of The Conscious Investor: Profiting from the Timeless Value Approach (Wiley, 2011), began his career as a research mathematician and for thirty-five years taught math, physics, and finance at universities around the world. He then morphed into an entrepreneur, developing stock screening software that emulates Warren Buffett’s investing strategies. And, as is evident from this book, he didn’t neglect his writing skills. He proceeds with the analytical precision of a mathematician but with the facility and clarity of a careful wordsmith.

Price describes over twenty methods of valuation. He explains the circumstances in which each method is most appropriate. He also evaluates each method’s strengths and weaknesses.

Here I am going to confine myself to describing the screen that underlies Price’s own investing system. He focuses on earnings forecasts, offering objective methods in place of the strategies of analysts, which are tainted with behavioral biases. Critically, he screens to find companies that are actually amenable to growth forecasts. They share three characteristics. “The first two, stable growth in earnings and stable return on equity, are based on histories of financial data taken from the financial statements. The third one, strong economic moat, is based on the ability of the company to protect itself from competitors.” (p. 292) Since many readers will be familiar with Warren Buffett’s notion of moats, I will discuss only the first two characteristics and how to measure them.

Price developed a proprietary function called STAEGR which “measures the stability or consistency of the growth of historical earnings per share from year to year, expressed as a percentage in the range of 0 to 100 percent. … STAEGR of 100 percent signifies complete stability, meaning that the data is changing by exactly the same percentage each year. The function has the feature of adjusting for data that could overly distort the result, such as one-off extreme data points, negative data, and data near zero. It also puts more emphasis on recent data.” This function is “independent of the actual growth. This means that whether a company has high or low stability of earnings is independent of whether the earnings are growing or contracting. In this way the two measures, stability and growth, complement each other in describing qualities of historical earnings.” (p. 294) (more…)

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