marți, 31 martie 2015

Seth's Blog : Different kinds of magic

Different kinds of magic

A stunning video about what school can mean.

A beautiful book about art and meaning.

A different kind of management tome.

Rethinking your career. Or this way.

And worth thinking hard about: two brilliant social histories by David Graeber. Debt and Bureaucracy.

 

       

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Spam Score: Moz's New Metric to Measure Penalization Risk - Moz Blog


Spam Score: Moz's New Metric to Measure Penalization Risk

Posted on: Monday 30 March 2015 — 13:00

Posted by randfish

Today, I'm very excited to announce that Moz's Spam Score, an R&D project we've worked on for nearly a year, is finally going live. In this post, you can learn more about how we're calculating spam score, what it means, and how you can potentially use it in your SEO work.

How does Spam Score work?

Over the last year, our data science team, led by  Dr. Matt Peters, examined a great number of potential factors that predicted that a site might be penalized or banned by Google. We found strong correlations with 17 unique factors we call "spam flags," and turned them into a score.

Almost every subdomain in  Mozscape (our web index) now has a Spam Score attached to it, and this score is viewable inside Open Site Explorer (and soon, the MozBar and other tools). The score is simple; it just records the quantity of spam flags the subdomain triggers. Our correlations showed that no particular flag was more likely than others to mean a domain was penalized/banned in Google, but firing many flags had a very strong correlation (you can see the math below).

Spam Score currently operates only on the subdomain level—we don't have it for pages or root domains. It's been my experience and the experience of many other SEOs in the field that a great deal of link spam is tied to the subdomain-level. There are plenty of exceptions—manipulative links can and do live on plenty of high-quality sites—but as we've tested, we found that subdomain-level Spam Score was the best solution we could create at web scale. It does a solid job with the most obvious, nastiest spam, and a decent job highlighting risk in other areas, too.

How to access Spam Score

Right now, you can find Spam Score inside  Open Site Explorer, both in the top metrics (just below domain/page authority) and in its own tab labeled "Spam Analysis." Spam Score is only available for Pro subscribers right now, though in the future, we may make the score in the metrics section available to everyone (if you're not a subscriber, you can check it out with a free trial). 

The current Spam Analysis page includes a list of subdomains or pages linking to your site. You can toggle the target to look at all links to a given subdomain on your site, given pages, or the entire root domain. You can further toggle source tier to look at the Spam Score for incoming linking pages or subdomains (but in the case of pages, we're still showing the Spam Score for the subdomain on which that page is hosted).

You can click on any Spam Score row and see the details about which flags were triggered. We'll bring you to a page like this:

Back on the original Spam Analysis page, at the very bottom of the rows, you'll find an option to export a disavow file, which is compatible with Google Webmaster Tools. You can choose to filter the file to contain only those sites with a given spam flag count or higher:

Disavow exports usually take less than 3 hours to finish. We can send you an email when it's ready, too.

WARNING: Please do not export this file and simply upload it to Google! You can really, really hurt your site's ranking and there may be no way to recover. Instead, carefully sort through the links therein and make sure you really do want to disavow what's in there. You can easily remove/edit the file to take out links you feel are not spam. When Moz's Cyrus Shepard disavowed every link to his own site, it took more than a year for his rankings to return!

We've actually made the file not-wholly-ready for upload to Google in order to be sure folks aren't too cavalier with this particular step. You'll need to open it up and make some edits (specifically to lines at the top of the file) in order to ready it for Webmaster Tools

In the near future, we hope to have Spam Score in the Mozbar as well, which might look like this: 

Sweet, right? :-)

Potential use cases for Spam Analysis

This list probably isn't exhaustive, but these are a few of the ways we've been playing around with the data:

  1. Checking for spammy links to your own site: Almost every site has at least a few bad links pointing to it, but it's been hard to know how much or how many potentially harmful links you might have until now. Run a quick spam analysis and see if there's enough there to cause concern.
  2. Evaluating potential links: This is a big one where we think Spam Score can be helpful. It's not going to catch every potentially bad link, and you should certainly still use your brain for evaluation too, but as you're scanning a list of link opportunities or surfing to various sites, having the ability to see if they fire a lot of flags is a great warning sign.
  3. Link cleanup: Link cleanup projects can be messy, involved, precarious, and massively tedious. Spam Score might not catch everything, but sorting links by it can be hugely helpful in identifying potentially nasty stuff, and filtering out the more probably clean links.
  4. Disavow Files: Again, because Spam Score won't perfectly catch everything, you will likely need to do some additional work here (especially if the site you're working on has done some link buying on more generally trustworthy domains), but it can save you a heap of time evaluating and listing the worst and most obvious junk.

Over time, we're also excited about using Spam Score to help improve the PA and DA calculations (it's not currently in there), as well as adding it to other tools and data sources. We'd love your feedback and insight about where you'd most want to see Spam Score get involved.

Details about Spam Score's calculation

This section comes courtesy of Moz's head of data science, Dr. Matt Peters, who created the metric and deserves (at least in my humble opinion) a big round of applause. - Rand

Definition of "spam"

Before diving into the details of the individual spam flags and their calculation, it's important to first describe our data gathering process and "spam" definition.

For our purposes, we followed Google's definition of spam and gathered labels for a large number of sites as follows.

  • First, we randomly selected a large number of subdomains from the Mozscape index stratified by mozRank.
  • Then we crawled the subdomains and threw out any that didn't return a "200 OK" (redirects, errors, etc).
  • Finally, we collected the top 10 de-personalized, geo-agnostic Google-US search results using the full subdomain name as the keyword and checked whether any of those results matched the original keyword. If they did not, we called the subdomain "spam," otherwise we called it "ham."

We performed the most recent data collection in November 2014 (after the Penguin 3.0 update) for about 500,000 subdomains.

Relationship between number of flags and spam

The overall Spam Score is currently an aggregate of 17 different "flags." You can think of each flag a potential "warning sign" that signals that a site may be spammy. The overall likelihood of spam increases as a site accumulates more and more flags, so that the total number of flags is a strong predictor of spam. Accordingly, the flags are designed to be used together—no single flag, or even a few flags, is cause for concern (and indeed most sites will trigger at least a few flags).

The following table shows the relationship between the number of flags and percent of sites with those flags that we found Google had penalized or banned:

ABOVE: The overall probability of spam vs. the number of spam flags. Data collected in Nov. 2014 for approximately 500K subdomains. The table also highlights the three overall danger levels: low/green (< 10%) moderate/yellow (10-50%) and high/red (>50%)

The overall spam percent averaged across a large number of sites increases in lock step with the number of flags; however there are outliers in every category. For example, there are a small number of sites with very few flags that are tagged as spam by Google and conversely a small number of sites with many flags that are not spam.

Spam flag details

The individual spam flags capture a wide range of spam signals link profiles, anchor text, on page signals and properties of the domain name. At a high level the process to determine the spam flags for each subdomain is:

  • Collect link metrics from Mozscape (mozRank, mozTrust, number of linking domains, etc).
  • Collect anchor text metrics from Mozscape (top anchor text phrases sorted by number of links)
  • Collect the top five pages by Page Authority on the subdomain from Mozscape
  • Crawl the top five pages plus the home page and process to extract on page signals
  • Provide the output for Mozscape to include in the next index release cycle

Since the spam flags are incorporated into in the Mozscape index, fresh data is released with each new index. Right now, we crawl and process the spam flags for each subdomains every two - three months although this may change in the future.

Link flags

The following table lists the link and anchor text related flags with the the odds ratio for each flag. For each flag, we can compute two percents: the percent of sites with that flag that are penalized by Google and the percent of sites with that flag that were not penalized. The odds ratio is the ratio of these percents and gives the increase in likelihood that a site is spam if it has the flag. For example, the first row says that a site with this flag is 12.4 times more likely to be spam than one without the flag.

ABOVE: Description and odds ratio of link and anchor text related spam flags. In addition to a description, it lists the odds ratio for each flag which gives the overall increase in spam likelihood if the flag is present).

Working down the table, the flags are:

  • Low mozTrust to mozRank ratio: Sites with low mozTrust compared to mozRank are likely to be spam.
  • Large site with few links: Large sites with many pages tend to also have many links and large sites without a corresponding large number of links are likely to be spam.
  • Site link diversity is low: If a large percentage of links to a site are from a few domains it is likely to be spam.
  • Ratio of followed to nofollowed subdomains/domains (two separate flags): Sites with a large number of followed links relative to nofollowed are likely to be spam.
  • Small proportion of branded links (anchor text): Organically occurring links tend to contain a disproportionate amount of banded keywords. If a site does not have a lot of branded anchor text, it's a signal the links are not organic.

On-page flags

Similar to the link flags, the following table lists the on page and domain name related flags:

ABOVE: Description and odds ratio of on page and domain name related spam flags. In addition to a description, it lists the odds ratio for each flag which gives the overall increase in spam likelihood if the flag is present).

  • Thin content: If a site has a relatively small ratio of content to navigation chrome it's likely to be spam.
  • Site mark-up is abnormally small: Non-spam sites tend to invest in rich user experiences with CSS, Javascript and extensive mark-up. Accordingly, a large ratio of text to mark-up is a spam signal.
  • Large number of external links: A site with a large number of external links may look spammy.
  • Low number of internal links: Real sites tend to link heavily to themselves via internal navigation and a relative lack of internal links is a spam signal.
  • Anchor text-heavy page: Sites with a lot of anchor text are more likely to be spam then those with more content and less links.
  • External links in navigation: Spam sites may hide external links in the sidebar or footer.
  • No contact info: Real sites prominently display their social and other contact information.
  • Low number of pages found: A site with only one or a few pages is more likely to be spam than one with many pages.
  • TLD correlated with spam domains: Certain TLDs are more spammy than others (e.g. pw).
  • Domain name length: A long subdomain name like "bycheapviagra.freeshipping.onlinepharmacy.com" may indicate keyword stuffing.
  • Domain name contains numerals: domain names with numerals may be automatically generated and therefore spam.

If you'd like some more details on the technical aspects of the spam score, check out the  video of Matt's 2012 MozCon talk about Algorithmic Spam Detection or the slides (many of the details have evolved, but the overall ideas are the same):

We'd love your feedback

As with all metrics, Spam Score won't be perfect. We'd love to hear your feedback and ideas for improving the score as well as what you'd like to see from it's in-product application in the future. Feel free to leave comments on this post, or to email Matt (matt at moz dot com) and me (rand at moz dot com) privately with any suggestions.

Good luck cleaning up and preventing link spam!


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So What Makes A Good PPC Account Structure?

So What Makes A Good PPC Account Structure?

Link to White.net » Blog

So What Makes A Good PPC Account Structure?

Posted: 25 Mar 2015 01:30 AM PDT

I’m often asked, ‘what makes a good PPC account structure?’… well in truth, it varies from account to account. There is no real champion account structure as such. Instead, what I want to share with you is the back-bone of an account structure which should typically bode well for any account. Following the simple steps below cuts out a large amount of wasted time on what historically appear to be over complicated accounts.

Alpha/Beta PPC Account Structure

Firstly, if you have a good website structure, use this as a template (N.B. If you don’t have a good website structure/navigation then perhaps looks at that first; there is nothing more frustrating to a potential customer than an badly navigable website!). There are many reasons for doing this; the two main ones are that it aligns campaigns/ad groups to landing pages, as well as for ease of reporting.

The main purpose of the Alpha/Beta PPC account structure is to maximise quality score and conversion rate. As quality scores are also calculated at campaign level, it deems valuable that the campaign structure reflects and takes advantage of this. The price of a click depends on a metric known as 'quality score', which we know denotes how relevant Google thinks your combination of ad copy, keyword and landing page are to a searcher’s search query. Increasing quality score would reduce the price of clicks (and therefore the price of conversions) or improve ad rank (that is, the position the ad appears on the search results page). As we know, maximising quality score translates to higher ad positions and lower cost per clicks. By separating keywords with the highest quality score into a separate 'cloned' Beta ad groups, the campaign's quality score will be further maximised and a higher ROI will be observed.

 

In A Nutshell

Let's call the bare-bone ad groups our 'Alpha' ad groups. To implement this strategy, we would build out 'Beta' ad groups, containing the most successful keywords alongside the most successful ads and landing pages. The ad group should be a complete clone of the original Alpha ad group but it should only contain the winning criterion. With this likely single-keyword ad group, we can tailor the ad creative to be hyper relevant to the search term and user, and additionally can test new hyper relevant variations of these best performing ads.

Read my my blog post on Considering Ad Copy As A Group Of Swappable Elements on how to variant test ad copy.

The exact match keyword should then be added as a negative to the corresponding Alpha Ad group to ensure that that exact search query triggers the ad in the Beta Ad group only.

Here’s A Visual Of What This Structure Looks Like

ppc account structure

This such Alpha-Beta PPC account structure will allow us to focus on the most valuable keywords that provide the most ROI. It will allow us to carefully monitor and manage the budgets where the spend is going to give the biggest ROI. Additionally, it will provide a sound platform on which we can carefully create and test hyper relevant ad creatives, to further optimise the campaigns and overall account.

Use A Practical Naming Convention

Naming your campaigns and ad groups in a practical way from the start will mean ease of navigation down the line. I see so many accounts where the campaigns are ‘campaign 1′ or ‘Sarah campaign’… they do not mean anything to anyone (OK, well maybe to Sarah) but you get my point, they do not instantly identify the theme. If you want to assign campaigns to certain staff then consider using labels.

Consider a naming convention that includes the targeted network, theme of the ad groups and the keyword match type:

Search – Theme 1 – BMM

Search – Theme 1 – Exact

Search – Theme 2 – BMM

Search – Them 2 – Exact

Display – Theme 1 – Image

Display – Theme 1 – Text

Re-targeting – Theme 1 – RLSA

Re-targeting – Theme 2 – RLSA

The size of the account can get a bit out of hand with the addition of further campaigns, ad groups, intent etc., especially when you factor in all the different types of campaigns you may want to be running:

  • Shopping
  • Search Text Ads
  • Display (Topics, Interests, Placements, etc)
  • Remarketing
  • Dynamic Remarketing
  • Remarketing Lists for Search Ads (RLSA)
  • Dynamic Search Ads (DSA)
  • Remarketing for Dynamic Search Ads (RDSA)

The trick here is with naming conventions and to label everything. The more clearly defined and separated the above campaign types are, the easier the account will be to navigate and manage.

So, we’ve looked at the structure, but I want to just jump back slightly here and touch on what the difference is between a keyword and a search query, and what match types are available along with their uses.

Keywords vs. Search Queries

We hear a lot of talk around keywords and search queries, but these are sometimes either misunderstood or misrepresented. So let’s clear this up:

  • Keywords are words or phrases that a marketer buys on Google
  • Search Queries are words or phrases that a user (potential customer) types into the Google search bar

Match Type

Next I want to run through what match-types are available, and what they entail:

 

Broad Match

This match type allows us to control how aggressively Google matches keywords to queries.
e.g. Formal Shoes also matches to Formal Footwear, Evening Footwear, and Men's Dress Wingtips etc.
This form or match type gives Google almost total discretion.

 

Broad Match Modified

This match type allows us to specify words that must appear in a search, while capturing misspellings and different orderings of the words.
e.g. +Formal +Shoes also matches Formal Shoes, Formal Evening Shoes, Formal Black Dress Shoes.
BMM match type prevents synonyms.

 

Phrase Match

This match type allows us to control how aggressively Google matches keywords to queries.
e.g. "Formal Shoes" also matches to Black Formal Shoes, Formal Shoes for Men, Formal Shoes for Women.
Phrase match type requires the complete phrase to appear in the query.

 

Exact Match

This match type allows us to stop Google matching our keywords to certain queries.

e.g. [Formal Shoes] matches to Formal Shoes only.
Exact match type will only show the exact phrase.

 

Negative Match

This match type allows us to stop Google matching our keywords to certain queries
e.g. -Formal -Shoes matches to Men's Trainers, Men's Flip-Flops, Ladies High-Heels
Negative match type excludes any word or phrase.

 

I recommend using Broad March Modified (BMM) to discover new and potentially profitable search queries, Exact Match to isolate the top performing queries and bids accordingly and Negative Match to exclude the unprofitable queries. Generally I do not recommend the use of Broad Match or Phrase Match: Broad Match gives the least control and so potentially allows ads to appear on irrelevant searches (especially if you do not have a tightly optimised negative keyword list applied); Phrase Match would capture fewer searches than BMM as it requires precise spelling and so is less useful for exploration.

I have seen many an account where the PPC manager has used the same keyword on Broad, Phrase and Exact match, and I think to myself, you’ve wasted so much of your time by doing that. Also, I’ve see a lot of ad groups with long-tail (5+ keywords per line) with little to no data attributed, why? Because they had jumped the gun and second guessed what the customer would be searching rather than run BMM ad groups and analyse the search query reports (the queries that potential customers are actually using).

By using Broad Match Modify and Exact match types only, we are able to data-mine for new an relevant queries that we want to bid on and identify those that we don’t. Using Phrase and Broad match types only complicate things.

Creating & Analysing Alpha/Beta Campaigns

So to recap, below is a step-by-step process, which if followed correctly, will produce your A/B structure:

  1. Create the Alpha ad group with all keywords on BMM.
  2. Review Search Query Reports on the Alpha ad groups.
  3. Identify the performing and ill-performing queries via Search Query Reports.
  4. Create the Beta ad group and move the performing queries into Single Keyword ad groups.
  5. Ensure all Beta ad group queries are on Exact Match.
  6. Create targeted ad creatives and landing pages for the Single Keyword ad groups.
  7. Add all ill-performing queries to the corresponding Alpha ad groups as Exact Match Negatives.
  8. Add all Beta queries to the corresponding Alpha ad groups as Exact Match Negatives – This prevents Google from matching an Alpha keyword to a performing Beta query.
  9. A schedule is then created to re-run through steps 2-8 for continuous optimisation of the account.

 

By implementing the Alpha/Beta structure we can ensure that the Exact Match keyword is triggered by the users search query, resulting in a tailored and specifically related ad creative being entered into the auction to be shown on the SERP (SERP is the search engine results page, the page the user is directed to have clicking search on their search query). This will ensure that the users search query is matched most relevantly to a keyword and ad creative most likely to provide higher engagement and potential conversion.

 

  1. This should result in a higher Quality Score and Ad Rank thus resulting in a lower CPC to that of the same keyword using a different match type.
  2. This structure ensures that highly relative keywords, queries and ad creative are married up.
  3. This structure should also lower bounce rate and increase user engagement (Pages/Visits).

 

So What Makes A Perfect PPC Account Structure?

I am not saying the above is the answer to all our structural prayers, instead, it gives you a bare-bone idea of how to re-structure or build out your account to maximise efficiency in more than one way. Getting the structure right means you have more time to concentrate on optimisation and variant testing. Take a look at our account, how does it look? From campaign level can you clearly identify what each campaign entails? No? Well if you can’t then no-one else can. Have you segmented your campaigns / ad groups? If not, ask yourself why not.

I hope you have found this useful. I’d love to hear your feedback, and your experiences. What structure works well for you?

The post So What Makes A Good PPC Account Structure? appeared first on White.net.

Seth's Blog : Direct marketing (and the other kind)

Direct marketing (and the other kind)

Direct marketing is outbound, measured and designed to pay for itself.

So, the catalog you get in the mail, or the Fuller Brush man. The idea was to buy stamps (or some other form of contacting people) and make enough money on average to buy more stamps.

Before the internet, direct marketing was on a steady growth path. The science of testing and improving offers and the industrialization of systems that lowered costs meant that more and more organizations were using direct marketing to solicit donations, get votes and sell products and services.

One of the key elements that allows direct marketing to grow so fast is that once you know how much an action is worth (a returned phone call, a door opened, an address added) you can buy it from anyone, in any quantity. Because it pays for itself. The media works on commission, for you.

The internet, of course, is fueled by direct marketing thinking. What's a click worth? How much will you bid to have your ad on top? How many visits does this buy create? What's the funnel on our site, and how do we make it more efficient? What's the allowable for a download?

So Amazon grew largely on the basis of its affiliate program (anyone can join, you only get paid when someone clicks and buys--classic direct marketing thinking). And so Google grew without a salesforce, because the direct marketer doesn't wait for someone to show up and sell--instead, the direct marketer eagerly seeks out anything that generates a click for less.

This is the opposite of the other kind, which doesn't really have a name. Brand marketing, or mass marketing, or indirect marketing. The kind the guys at Mad Men do. The full-page ads in magazines, just about all the ads on TV, sponsoring a conference...

[For the purposes of this post, I'm talking about the duality of marketing in the traditional sense. My take for the last 15 years is that marketing is merely storytelling and promise making/keeping, and in fact, everything the organization does is at some level, marketing.]

If you're hoping to build something on the web, then, you're almost certainly required to think like a direct marketer.

That means that if you're searching for traffic or action or sales or word of mouth, you will be offered a hundred ways to measure what happens. And if you improve what you're measuring, the amount you have to spend on each action goes up, and if you earn enough from each action, direct marketing becomes a profit center, not a cost.

That means if you're required to sell ads or sponsorships, the easiest sales to make, and the most likely sales you'll make, will be to a direct marketer, and the offer is probably similar to Amazon's original affiliate offer: We'll pay you when it works. We'll pay for a click or we'll track how many people type in a discount code, or... 

Sometimes eager direct marketers will pay upfront for an ad, but they always measure, and they don't keep running ads that don't measure up. That's at the core of direct marketing.

There are costs to this shift, worth thinking about:

1. While it's tempting to build an organization with direct marketing techniques, just about all the brands that matter to our culture aren't built this way. The subtle and powerful stories behind Starbucks and Apple and Harper Lee don't lend themselves to direct response ads.

If you're trying to build that kind of brand, it's essential that you reject direct-marketing tactics as a shortcut. They will drive you to make decisions that keep you from building the sort of promise you seek to build, and they'll end up not paying for themselves either.

Whether you're a solo entrepreneur or a giant corporation, this is a trap the web sets for you. What you need to sacrifice to make the numbers work might be the very brand you seek to build.

2. Open-system direct marketing (where just about anyone can carry a link or run a banner) inevitably destroys the media that gets hooked on them. If your podcast becomes dependent on getting people to visit a sponsor's site and type in the discount code, you can bet that there will be ever-increasing internal pressure to mention the code louder and more often. Not by the advertiser. He doesn't care, he'll just move on. By your partners and your boss. And so we get popups and popunders and sneaky data tracking. Because people are measuring.

[There is an exception to this, which proves the rule: The Yellow Pages, where responding to the ads is the only function of the medium. Craigslist and eBay understand this.]

In many ways, direct marketing on the web is a self-limiting process, because the more that media companies embrace it, the worse it works. This is precisely the opposite of what happened for a generation to branded ads in Vogue and other magazines. Work too hard at getting clicks on the ads you sold, your audience leaves.

Lester Wunderman, Lillian Vernon and LL Bean built direct marketing businesses at their kitchen table, buying stamps and mailing lists and learning the hard way how to think like direct marketers. The web has turned all of us, if we want to be, into direct marketers. Go in with your eyes open, and do it well, and for the right reasons.

       

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luni, 30 martie 2015

Mish's Global Economic Trend Analysis

Mish's Global Economic Trend Analysis


Historical Perspective on CPI Deflations: How Damaging are They?

Posted: 30 Mar 2015 08:39 PM PDT

Yet another central bank has announced a warning about the perils of deflation. Please consider China Central Bank Calls for Vigilance on Deflation.
China's central bank governor Zhou Xiaochuan warned on Sunday that the country needs to be vigilant for signs of deflation and said policymakers were closely watching slowing global economic growth and declining commodity prices.

Zhou's comments are likely to add to concerns that China is in danger of slipping into deflation and underline increasing nervousness among policymakers as the economy continues to lose momentum despite a raft of stimulus measures.

"Inflation in China is also declining. We need to have vigilance if this can go further to reach some sort of deflation or not," Zhou said at a high-level forum in Boao, on the southern Chinese island of Hainan.

Zhou added that the speed with which inflation was slowing was a "little too quick", though this was part of China's ongoing market readjustment and reforms.
Historical Perspective On CPI Deflations

In its March report, the BIS took a look at the Costs of Deflations: A Historical Perspective. Here are the key findings.
Concerns about deflation – falling prices of goods and services – are rooted in the view that it is very costly. We test the historical link bet ween output growth and deflation in a sample covering 140 years for up to 38 economies. The evidence suggests that this link is weak and derives largely from the Great Depression. But we find a stronger link between output growth and asset price deflations, particularly during postwar property price deflations. We fail to uncover evidence that high debt has so far raised the cost of goods and services price deflations, in so-called debt deflations. The most damaging interaction appears to be between property price deflations and private debt

Deflation may actually boost output. Lower prices increase real incomes and wealth. And
they may also make export goods more competitive.


Once we control for persistent asset price deflations and country-specific average changes in growth rates over the sample periods, persistent goods and services (CPI ) deflations do not appear to be linked in a statistically significant way with slower growth even in the interwar period. They are uniformly statistically insignificant except for the first post-peak year during the postwar era – where, however, deflation appears to usher in stronger output growth. By contrast, the link of both property and equity price deflations with output growth is always the expected one, and is consistently statistically significant.

Conclusions

The evidence from our long historical data set sheds new light on the costs of deflations. It raises questions about the prevailing view that goods and services price deflations, even if persistent, are always pernicious. It suggests that asset price deflations, and particularly house price deflations in the postwar era, have been more damaging. And it cautions against presuming that the interaction between debt and goods and services price deflation , as opposed to debt's interaction with property price deflations, has played a significant role in past episodes of economic weakness.
The exception to the general rule was the Great Depression but, that was also an asset bubble deflation coupled with consumer price deflation.

Meanwhile central banks on every continent are worried about something they should welcome.

Economic Challenge to Keynesians

Of all the widely believed but patently false economic beliefs is the absurd notion that falling consumer prices are bad for the economy and something must be done about them.

I have commented on this many times and have been vindicated not only by sound economic theory but also by actual historical examples.

My January 20, post Deflation Bonanza! (And the Fool's Mission to Stop It) has a good synopsis.

And my Challenge to Keynesians "Prove Rising Prices Provide an Overall Economic Benefit" has gone unanswered.

There is no answer because history and logic both show that concerns over consumer price deflation are seriously misplaced.

Worse yet, in their attempts to fight routine consumer price deflation, central bankers create very destructive asset bubbles that eventually collapse, setting off what they should fear - asset bubble deflations following a buildup a bank credit on inflated assets.

Mike "Mish" Shedlock
http://globaleconomicanalysis.blogspot.com

Indiana Legalizes Discrimination on Grounds of "Religious Freedom"

Posted: 30 Mar 2015 05:36 PM PDT

Can you refuse service to gays and lesbians? You can in Indiana thanks to the "Religious Freedom" Bill.
Indiana Governor Mike Pence has signed a bill that would allow businesses to refuse service to gay and lesbian patrons on the grounds of "religious freedom", even as some of the state's largest business interests oppose the measure.

Mr Pence, a potential 2016 presidential contender, said he signed the bill because "many people of faith feel their religious liberty is under attack by government action".
Proving that he cannot think, Pence quipped "If I thought it legalised discrimination in any way in Indiana, I would have vetoed it."

And what about religious freedom for atheists, Muslims, ISIS? Can they do whatever they want too, or is this just religious freedom for Christians and Jews?



Where does one draw the line? Can I post a sign Catholics not welcome? Jews go home?
Greg Ballard, the Republican mayor of Indianapolis, has said that the Indiana law sends the "wrong signal". "Indianapolis strives to be a welcoming place that attracts businesses, conventions, visitors and residents," he said in a statement Wednesday.

In recent days, three major conventions have threatened to pull out of the state because of the bill. The organisers of Gen Con, the city's largest convention, said the law "will have a direct negative impact on the state's economy, and will factor into our decision-making on hosting the convention in the state of Indiana in future years".
History Lesson for Pence

The opening of the United States Declaration of Independence states as follows:
We hold these truths to be self-evident, that all men are created equal, that they are endowed by their Creator with certain unalienable Rights, that among these are Life, Liberty and the Pursuit of Happiness. That to secure these rights, Governments are instituted among Men, deriving their just powers from the consent of the governed;
"Many people of faith feel their religious liberty is under attack by government action," said Pence. Actually, people of all races, creeds, and religions are under attack by this ludicrous bill.

Backlash

Backlash is mounting. The Guardian reports Indiana Republicans to amend 'religious freedom' law in face of backlash.
The next day, the social media campaign #BoycottIndiana took over Twitter, and on Saturday hundreds gathered at the statehouse in Indianapolis to rally against the bill.

By Monday night, protesters were gathering again, this time in front of the Indianapolis City-County building. Protesters recited the pledge of allegiance, shouting the "for all" at the end of the oath.

Local businesses across the state capital have posted signs bearing the message that Indiana citizens, known as Hoosiers, will "not serve hate".

The band Wilco canceled a performance in Indiana in protest to the law, and major Indiana-based businesses such as Angie's List have put expansion plans on hold and other companies, like Salesforce.com, have stopped sending employees there for business.

"This is not just a gay issue, this is a Hoosier issue," said city councilman Zach Adamson, the first openly gay elected councilman in Indianapolis. "We are, as a people, incensed about it."

On Sunday, Pence defended the bill in an interview with George Stephanopoulos on ABC's The Week.

The appearance inflamed opponents as Pence danced around questions about the law's discriminatory implications and refused to directly answer questions about whether it gives businesses the right to deny service to LGBT people – six times.

"This is not about discrimination, this is about empowering people to confront government overreach," he said. Asked again, he said: "Look, the issue here is still: is tolerance a two-way street, or not? … We're not going to change the law."
Message of Inclusion?!

State legislators say law is not anti-gay and blame the reaction on a 'mischaracterisation'. 'What we had hoped for was a message of inclusion'.

This has nothing to do with "inclusion". This has everything to do with a hopeless candidate foolishly appealing to the ultraright extremists and it backfired big time.

To Pence, you are equal unless your religion says otherwise. He is exactly the kind of fake-conservative jackass the Republican party needs to get rid of.

Mike "Mish" Shedlock
http://globaleconomicanalysis.blogspot.com

Ben Bernanke, Confused as Ever, Starts His Own Blog to Prove It

Posted: 30 Mar 2015 01:09 PM PDT

Ben Bernanke just started his own blog at the Brookings Institute. His first post, from today, Inaugurating a New Blog is the announcement.

Let's dive into Bernanke's second post of the day: Why are Interest Rates So Low?

Bernanke: Low interest rates are not a short-term aberration, but part of a long-term trend. As the figure below shows, ten-year government bond yields in the United States were relatively low in the 1960s, rose to a peak above 15 percent in 1981, and have been declining ever since. That pattern is partly explained by the rise and fall of inflation, also shown in the figure.

Mish: Inflation is only low if one ignores asset bubbles. The CPI does not factor in bubbles induced by monetary policy. The Bernanake and Greenspan Fed ignored the biggest bubble ever in housing for which the Fed has never apologized nor admitted any wrong doing. The effects of inflation are visible everywhere, except of course where the Fed looks.

Bernanke: If you asked the person in the street, "Why are interest rates so low?", he or she would likely answer that the Fed is keeping them low. That's true only in a very narrow sense. But what matters most for the economy is the real, or inflation-adjusted, interest rate (the market, or nominal, interest rate minus the inflation rate). The real interest rate is most relevant for capital investment decisions, for example. The Fed's ability to affect real rates of return, especially longer-term real rates, is transitory and limited. Except in the short run, real interest rates are determined by a wide range of economic factors, including prospects for economic growth—not by the Fed.

Mish: It is difficult to say precisely where interest rates would be in the absence of the Fed, but the answer is likely, surprisingly low. The reason is the Fed (central banks in general) coupled with government deficit spending and fractional reserve lending are the very source of inflation. Amusingly, the Fed bills itself as an "inflation fighting force" but it is a key determinant of inflation. Worse yet, and since the Fed is totally clueless about asset bubbles, it fails to see inflation in front of its nose.

Bernanke: To understand why [the Fed's ability to affect real rates is transitory and limited], it helps to introduce the concept of the equilibrium real interest rate (sometimes called the Wicksellian interest rate, after the late-nineteenth- and early twentieth-century Swedish economist Knut Wicksell). The equilibrium interest rate is the real interest rate consistent with full employment of labor and capital resources, perhaps after some period of adjustment. Many factors affect the equilibrium rate, which can and does change over time. If the Fed wants to see full employment of capital and labor resources (which, of course, it does), then its task amounts to using its influence over market interest rates to push those rates toward levels consistent with the equilibrium rate, or—more realistically—its best estimate of the equilibrium rate, which is not directly observable.

Mish: With that, the Fed admitted it is clueless about the alleged "equilibrium rate". Indeed it is not observable, nor is the concept of full employment known or observable. Government interference in the free markets, especially minimum wage laws grossly distort the level of full employment. Factor in changing consumer preferences and demographics, and it's a fool's mission to believe the Fed (any central bank), can come up with a realistic estimate to something Bernanke correctly admits is not directly observable.

Bernanke: When I was chairman, more than one legislator accused me and my colleagues on the Fed's policy-setting Federal Open Market Committee of "throwing seniors under the bus" (to use the words of one senator) by keeping interest rates low. The legislators were concerned about retirees living off their savings and able to obtain only very low rates of return on those savings. I was concerned about those seniors as well. But if the goal was for retirees to enjoy sustainably higher real returns, then the Fed's raising interest rates prematurely would have been exactly the wrong thing to do.

Mish: It's not the interest rate policy directly that threw seniors under the bus. Rather, it's the Fed's inflation policy while ignoring the consequences of asset bubbles that threw everyone but those with first access to money under the bus. The Fed ignored an enormous housing bubble (Bernanke did not see it at all), then when housing crashed, the Fed lowered rates to save the banks. The overall action was as "necessary" as it was to  have a Fed sponsored housing bubble in the first place.

Bernanke: A similarly confused criticism often heard is that the Fed is somehow distorting financial markets and investment decisions by keeping interest rates "artificially low." Contrary to what sometimes seems to be alleged, the Fed cannot somehow withdraw and leave interest rates to be determined by "the markets." The Fed's actions determine the money supply and thus short-term interest rates; it has no choice but to set the short-term interest rate somewhere.

Mish: Bernanke's comment is preposterous. There was not always a Fed. And the market once set interest rates on its own accord. Moreover, there does not need to be a Fed any more than we need government central planners to determine steel production or the price of orange juice. The Fed certainly does have a choice.

Bernanke: So where should that be? The best strategy for the Fed I can think of is to set rates at a level consistent with the healthy operation of the economy over the medium term, that is, at the (today, low) equilibrium rate. There is absolutely nothing artificial about that!

Mish: It's as artificial as the Fed determining how much steel the mills should produce! In other words it's totally artificial. Besides, Bernanke even admitted the Fed does not know what the equilibrium rate is, and it ignores asset bubble when attempting to land on the unknowable and unobservable.

Is it any wonder the Fed has blown asset bubble after asset bubble with increasing amplitude over time?

OER vs Home Prices

I have made several posts on the consequences of ignoring asset prices while attempting to measure "inflation. Here are two charts from my September 2014 post Housing Prices, "Real" Interest Rates, and the "Real" CPI.

In the following charts and commentary, I substitute actual home prices as measured by the Home Price Index (HPI), for Owners' Equivalent Rent (OER), in the CPI.
Comparative Growth in HPI vs. OER



From 1994 until 1999 there was little difference in the rate of change of rent vs. housing prices. That changed in 2000 with the dot.com crash and accelerated when Greenspan started cutting rates.

The bubble is clearly visible but neither the Greenspan nor the Bernanke Fed spotted it. The Fed was more concerned with rents as a measure of inflation rather than speculative housing prices.

Two Inflation Indexes Year-over-Year



The above chart shows the effect when housing prices replace OER in the CPI. In mid-2004, the CPI was 3.27%, the HPI-CPI was 5.93% and the Fed Funds Rate was a mere 1%. By my preferred measure of price inflation, real interest rates were -4.93%. Speculation in the housing bubble was rampant.

In mid-2008 when everyone was concerned about "inflation" because oil prices had soared over $140, I suggested record low interest rates across the entire yield curve. At that time the CPI was close to 6% but the HPI-CPI was close to 0% (and plunging fast).
I would specifically like to see Ben Bernanke comment on those charts and how and why he thinks asset bubbles can be excluded from measures of inflation.

Mike "Mish" Shedlock
http://globaleconomicanalysis.blogspot.com

Wishful Thinking: "Strong Growth" to Propel Housing

Posted: 30 Mar 2015 12:06 PM PDT

CoreLogic chief economist Dr. Frank Nothaft says Strong Economic Growth To Propel US Housing Market in 2015.
The U.S. economy is poised to grow by close to 3 percent in 2015, generating a 3- to 3.5-million-person gain in employment. This job growth, coupled with very low mortgage interest rates and some easing in credit access, is expected to propel both owner-occupant and rental housing activity this year. This heightened level of housing demand should translate to the best home sales market in eight years, a projected rise of about 5-6 percent in the national CoreLogic Home Price Index (HPI) and mortgage originations that will likely rise in 2015 compared to last year.

Economic growth near 3 percent

U.S. economic growth will be buoyed by three forces in 2015. One is the halving of energy prices since last summer, with prices unlikely to jump back up this year. This price drop has the similar beneficial effect on aggregate economic performance that a tax cut would have: Both consumers and business owners have more cash left each month to spend on other goods or invest in new equipment and financial assets. Lower energy prices could boost growth by as much as 0.5 percent, even though regions of the U.S. with jobs tied to energy production will face a slowdown.

A second force at work is the rise in consumer and business manager confidence in the economic recovery. This rise has been pronounced over the past year, coinciding with the pickup in economic growth (better than 4 percent annualized growth over the last three quarters of 2014) and the drop in energy costs. The Conference Board Consumer Confidence Index and the National Federation of Independent Business' Small Business Optimism Index have both risen to the highest levels since before the Great Recession. Consumers who feel more financially secure are more likely to form new households and more likely to transition from rental to ownership; and businesses that are more optimistic that demand will be there for their products are more likely to hire staff.

The third factor at work is a significant improvement in the budget outlook for state and local governments. With tax receipts stronger than expected, state and local governments will likely spend more, providing further stimulus to aggregate demand. With these three forces working in concert, 2015 economic growth could hit 3 percent, making this year only the second calendar year over the past decade with growth of 3 percent or better.
Head in the Sand

Nothaft has his head in the sand. He ignores a massive string of bad economic reports, while focusing on the lagging influence of jobs.

Having followed confidence numbers for years, the numbers are volatile and pretty much useless.



Where are confidence numbers going from here?

I actually suggest down because I expect a recession based on firmer data.

Manufacturing Business Confidence



There are all kinds of confidence indicators but how people feel at the moment is fleeting, and how confident they feel in six months is typically useless.

Small Business Optimism



Is NFIB confidence poised to soar, plunge, or go nowhere?

The latest month was a dip. Although the index is back at pre-recession levels, is the level in 2007 much of anything to brag about?

Global Economy

China is slowing along with the global economy. The dollar has hurt US corporate profits, and productivity is declining.

Local Government Spending to the Rescue?

Locally, all one has to do to see the silliness of the idea that government spending will come to the rescue is look at dire state of places like Illinois and countless cities that still have not recovered from the recession (and won't).

Is Chicago about ready to spend or does it want to raise taxes to make ends meet?

For the answer, please see Chicago's Fiscal Freefall: Moody's Cuts Chicago Credit Rating to Two Steps Above Junk; Snake Oil and Swaps; It's All Junk Now.

Also see Proposed Illinois Tax Hikes: Financial Transactions, Millionaires, Guns, Sweetened Beverages, Satellite Providers, Fireworks, Progressive Income.

Wishful Thinking

There is absolutely no measure of strong growth currently other than the lagging effect of jobs. (See Jobs and Employment: How Much Recession Warning Can One Expect?)

In short, Nothaft parrots the wisdom of the vast majority of economists who have never once in history predicted a recession.

Mike "Mish" Shedlock
http://globaleconomicanalysis.blogspot.com

UBS on the Driver for Gold: What is Gold About to Tell Us?

Posted: 30 Mar 2015 12:55 AM PDT

An interesting article came my way from UBS analyst Julien Garran on the driver for gold. I do not have a link to share so excerpts will have to do.

Garran's article is one of the better ones I have seen. Unlike others, Garran does not cite jewelry, mining capacity, central bank purchases or sales or other similar (and wrong) notions that unfortunately are widespread among most analysts.
Commodities & Mining Q&A (by Julien Garran)

Q1. What drives gold?
A1. In the past, we've argued that international US$ liquidity is fundamental to calling first gold and then the industrial miners. In this note, we go a step deeper, arguing that gold is a call on excess returns in the US economy, the policy response and finally the impact on that policy on international US$ liquidity.

Q2. What is gold about to tell us?
A2. The key issues facing gold; excess returns in the US are under pressure as the strong US$ and falling energy squeezes cashflow. As wages pressures rise, weak productivity means that cashflows could be squeezed further. Both undermine credit conditions and threaten the longevity of the cycle. We believe the prospect of deteriorating liquidity magnifies the threat. That in turn is limiting the Fed's ability to tighten policy and may induce it to ease in the future. We think the Fed has started to recognise that pressure with its dovish backtracking at the March meeting last week.

A1&2. In commodity strategy, we believe that a forthcoming rally in gold may warn us that declining returns could ultimately force the Fed into a new round of international reflation. We think the first step was likely the Fed's dovish backtracking at the March meeting.

In the past, we've argued that gold behaves as a probability indicator of whether international US$ liquidity will be improving or deteriorating in six months' time. Industrial commodities are a call on whether international US$ liquidity is rising now.

So to call gold, and then the industrial miners, we have analysed the key drivers of those flows;

  • The Fed
  • The US current account deficit
  • Bank's asset buying/accumulation

In this note we go a step deeper – arguing that gold is a call on excess returns in the US economy, the policy response and then finally the impact of that response on international US$ liquidity. We contend that the state of economy wide excess returns ultimately determine the longevity of the cycle, and so it is the progress of excess returns, above the intermediate targets on inflation & unemployment, that ultimately drive monetary policy.

Right now, excess returns are under pressure from four main areas; The rest of the world is exporting deflation to the US.

  • The combination of rising wage pressure and low productivity/secular stagnation.
  • A potential deterioration in liquidity.
  • Deteriorating credit conditions and a rising Wicksell spread.
  • Recent papers by Shin and McAuley hint at the reason.

The impact is visible in the deterioration in cashflow & EPS momentum, as well as in low trend US growth.

S&P Cashflow Momentum



S&P EPS Momentum



Rest of World exporting deflation to the US

As we've highlighted in our last note, international US$ liquidity has collapsed.



Secular stagnation, weak productivity & wage pressure

The second key threat to US returns comes from low productivity & the dearth of investment, itself induced by the high level of debt and the subsequent low rate of growth (See Buttiglioni – Deleveraging, What deleveraging? 2014).

The UBS house view, consensus and the Fed are all arguing that wages are due to accelerate. The Fed is watching several signs suggesting that labour markets are tightening and that wages are on the cusp of picking-up. Unemployment has fallen, the workweek has risen. Quits, a sign that the jobs market is tight enough to get people quitting work for better opportunities, are trending up.

And the Fed is watching professional wages trend-up. Its mental model is that median wages are attached by elastic to professional wages. When professional wages rise enough, median wages follow. There are clear anecdotal signs this is happening. Walmart and McDonalds have both announced a buck increase in basic wages in recent weeks. The impact is that labour costs are rising.

In the 90s rising wages promoted an extended cycle. Wages started accelerating in 1994. They accelerated from 1995-8. But cashflow held up. That was because of productivity. Robert Gordon, the godfather of the secular stagnation debate (see 'Secular Stagnation, 2014 – available free on the Vox website), highlights that total factor productivity rose at a 2.5% rate over the mid-90s. That was partly due to the burgeoning adoption and networking of PCs. And partly it was their increased use managing just in time inventories in a globalising, and lower cost, supply chain.

Of course, conditions are very different today. In 'Disinflation or deflation?' January 2015, we argued that deteriorating government productivity, something not measured in the GDP stats, was bringing down productivity for the economy as a whole. The combination of negative net investment and weaker productivity from tech applications means that corporates will struggle to offset rising wages.

US Productivity



So, in contrast to the extended 90s boom, weak productivity means that, as labour costs rise, cashflow gets squeezed, and credit fundamentals deteriorate further.

Liquidity & Credit Conditions

The most important support for US liquidity is corporate debt issuance for buybacks & M&A. So corporate debt issuance is also a key driver of EPS momentum. From 2010-14, corporates were able to issue large quantities of low quality debt.

In part, this was because there was a huge bid from mutual funds. Persistent Fed, foreign central bank and Investment bank treasury buying over the past five years induced mutual funds to reach for yield. But now that those sources of treasury buying have evaporated, mutual funds have much less incentive to reach for yield – so high yield appetite has deteriorated. Just as the fundamentals of debt, cashflows, are under pressure from the deflationary forces highlighted above.

Transmission Mechanism

The Wicksell spread The combination of low growth, weak productivity and deteriorating credit conditions put the cycle under increasing pressure. The Wicksell spread is the difference between corporate bond yields and nominal growth. Knutt Wicksell argued that a negative spread (with corporate yields below nominal growth) was like a subsidy to investment. A negative spread was increasingly a tax.



Late Cycle Signals

We have combined both cashflow and separately EPS momentum (giving them a negative sign so deteriorating momentum triggers a rise in the chart) and high yield spreads in our two 'late cycle' indicators below. The signals have spiked – suggesting that we are late in the cycle.



On each previous occasion that we have seen a spike of this magnitude in the indicators, we saw a significant market correction.

Our UBS proprietary Fed action model works on the basis that, over the past 20 years, the Fed has always reflated within two weeks if

  • The S&P fell 20% from peak.
  • High yield became stressed (HYG at 85 or below).

So, even though the Fed may focus on the intermediate targets of unemployment and inflation, it is ultimately the underlying sustainability of economy-wide excess returns that forces its hand.

The prospect of a more dovish Fed would set up the potential for a return of international US$ flows. A couple of recent academic papers by Shin & McAuley support the analysis.
Excellent Commentary

Garran's commentary was excellent, and gratefully devoid of the typical focus on jewelry, mining, central bank purchases, and also manipulation theories.

There is much more in the report, 24 charts in all, of which I posted six. Without explicit permission that is all I am comfortable posting. If I get a link I will add it as an addendum. There were no links in the article to things that Garran referenced, so I cannot provide those either.

Fed Tightening Cycle Won't Go Far

Reading between the lines, it seems that Garran, like I, does not think the Fed will get very far with the tightening cycle that most think is coming.

One and done would not surprise me. Heck, no hikes at all would not surprise me. About the only thing that would surprise me is more than three hikes.

US economic data other than jobs has generally been miserable. Don't expect a warning from the labor markets (See my article Jobs and Employment: How Much Recession Warning Can One Expect?)

Indeed, data has been so bad that I think a recession is on the way.  

Negative Data Pours In


Equities, Junk Bonds in for a Rough Ride

I don't know Garran's views on overall equities, but mine is the next round of liquidity will not have the same magic as the last two rounds, and in fact may even spook the markets.

Add to that the fact that earnings have peaked this cycle and the potential for a huge downturn in equities and junk bonds is far greater than most think.

Misunderstanding Gold

In case you missed it, please consider my March 27 article Misunderstanding "Peak Gold"; Gold About to Run Out? in which I debunked widely held notions that central bank asset purchases and sales, jewelry, and mining productions as drivers for the price of gold.

Garran's analysis was a welcome refresher from the typical (and wrong) commentary we see about gold.

Mike "Mish" Shedlock
http://globaleconomicanalysis.blogspot.com