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From Reinhart-Rogoff Witch Hunts To Krugman’s Contradictions

June 1, 2013 at 9:33 pm

You may have seen the new skirmishes this weekend in the very public debate about Carmen Reinhart’s and Kenneth Rogoff’s government debt research. Reinhart and Rogoff (I’ll call them RR) posted a letter to Paul Krugman on Reinhart’s website, in response to a piece that Krugman wrote for The New York Review of Books.

Krugman, of course, is one of the pundits who last month published “incomplete, exaggerated, erroneous and misleading” reports about RR’s research, as I explained at the time. Unlike some of the others involved, he kept the smear campaign alive and all but guaranteed RR’s latest response. I’ll recap the weekend’s exchange in a moment, but not before offering my take on Krugman’sMO.

Observations on Krugman’s campaign for more deficit spending

I’ll start with an excerpt from my April 27 article, “More Reasons to Call Off the Reinhart-Rogoff Witch Hunt”:

[The] question of how much debt is too much is an extremely important question. And RR’s many critics make no attempt whatsoever to answer it (if I’m wrong about this, please send me the research), even as they bash two researchers who’ve been leading the way to possible answers since well before their 2010 paper.

It seems to me that you can say two things about the many pundits on this issue:

  1. Commentators in the U.S. who’ve both looked under the surface of our fiscal challenges (see the problems with official numbers in articles such as this and this) and seriously considered the question “How much is too much?” have come away alarmed.
  2. Of the commentators on the other side – those now crowing over the misinformation that’s spread all the way from Rortybomb to the Colbert Report – I don’t know of any who’ve attempted to do the same due diligence and answer the all-important question.

Well, I still haven’t found an RR critic who’s made a genuine effort to estimate how much debt is too much. But I did force myself to search a little further, and my search coincidentally focused on Krugman. I read End This Depression Now, his 2012 book, from cover to cover.

This wasn’t my idea of a good read, but I try to make my reading list as balanced as I can stand. In this case, I was looking for counter-evidence to my assertions above. I wanted to see if there was anything more to Krugman’s positions than über-Keynesianism and boasts that his adversaries were proven wrong. He writes incessantly about inaccurate inflation and interest rate forecasts made by so-called “austerians” – those who’ve dared to express concerns about America’s soaring government debt – while arguing that these erroneous forecasts somehow prove his policy advice correct.

But his logic is full of holes. Near-term inflation and interest rate predictions have little to do with one’s beliefs about the mostly long-term risks of excessive debt. I don’t doubt that some forecasters have made faulty predictions. I know for a fact, though, that there are many who’ve opposed Krugman’s deficit spending recommendations while at the same time either accuratelyforecasting inflation and interest rates or not making any predictions at all. By my estimates, the second group is large and the first not so much.

How Reinhart and Rogoff Spoiled My Holiday

So, what does all of this have to do with RR’s letter to Krugman?

Well, just when I’d gotten through End This Depression Now and thought I could go back to reading stuff that makes sense to me, I learned of the RR post and felt compelled to read through Krugman’s latest attacks. And then I felt compelled to write – not just to offer my two cents on this weekend’s scuffle, but also to draw some parallels between the current debate and Krugman’s book. So much for my planned holiday reading of either The Bankers’ New Clothes or more of The Great Deformation. (I know, I’ll get over it.)

In any case, here’s my list of takeaways from RR versus PK, Memorial Day weekend edition:

  • Using Internet archives (the “WayBackMachine”), RR demonstrated that their data was publicly available as far back as 2010, contrary to PK’s accusations that this data was withheld. (As I said in earlier posts, I’ve downloaded their spreadsheets in the past and knew they were available.)
  • RR showed that they’ve recommended policies intended to reduce austerity, contrary to their portrayal by PK as tireless austerity advocates.
  • RR counterpunched on the question of debt-to-growth causality. (And yes, everyone recognizes this isn’t determined wholly by correlation.) They responded to the accusation that they put too much weight on the causal effects of high debt on growth with an argument that PK puts too much weight on the causal effects of low growth on debt.
  • Krugman eventually retreated to a core position that RR should have prevented impressionable policymakers from over-interpreting their 90% debt-to-GDP threshold. (I offered my opinion on these accusations here.)

For longer summaries, I recommend reading Econbrowser (James Hamilton) and economicprinciples (David Warsh).

Here’s the discussion we should be having

Now I’ll jump from RR versus PK to F.F. Wiley versus PK. (And no, I don’t expect a response, but I’ll say my piece anyway.)

Not surprisingly, End This Depression Now reads like a longer version of Krugman’s blog. If you’re one of his followers, you’ll be even more convinced that poor inflation and interest rate forecasts by the “austerian” crowd provide the evidence needed to justify massive deficit spending. Never mind those of us who’ve forecast inflation and interest rates correctly, or not at all, and yet still believe his fiscal policy views are too extreme.

As I said above, I couldn’t find a genuine effort to estimate how much debt is too much. But Krugman’s book does include a section titled “What about the Burden of Debt?” This is two pages long, running from the top of page 141 to the top of page 143. Here’s an excerpt:

 

The key thing to bear in mind is that the $5 trillion or so in debt America has run up since the crisis began, and the trillions more we’ll surely run up before this economic siege is over, won’t have to be paid off quickly, or indeed at all. In fact, it won’t be a tragedy if the debt actually continues to grow, as long as it grows more slowly than the sum of inflation and economic growth.

To illustrate this point, consider what happened to the $241 billion in debt the U.S. government owed at the end of World War II … this amounted to about 120 percent of GDP (compared with a combined federal, state, and local debt of 93.5 percent of GDP at the end of 2010). How was that debt paid off? The answer is that it wasn’t.

Krugman goes on to discuss post-World War II debt developments, while providing some incredibly misleading debt service calculations, but I’ll leave those for another day. I’ve shared the excerpt because it seems to tie into the RR debate. Consider the following:

  • By using the post-World War II experience to dismiss our current debt problems, Krugman essentially suggests a debt threshold of 120% of GDP. He says nothing about debt above 120%, but he’s suggesting that we shouldn’t worry as long as we’re below 120%. It’s a threshold, all the same.
  • For all the bellyaching about RR’s data choices, they’ve built the world’s most extensive government debt database (to my knowledge). Their most recent paper on debt and growth, published in 2012 and largely ignored by their critics, examined 26 high debt episodes in 22 countries. Krugman’s threshold, on the other hand, is based on one high debt episode in one country.
  • There are many reasons to believe that our World War II debt was far less troubling than today’s challenges. One of these is that we were running gigantic non-defense budget surpluses, which meant that we balanced the budget after the war by merely bringing our soldiers home and returning factories to civilian use. As I discussed here and here, balanced budgets and financial repression were the critical ingredients in our success at whittling away war debt, and were more important than the “mild inflation and substantial economic growth” cited by Krugman.
  • Outside of the natural slippage that occurs in recessions, our post-war leaders truly detested budget deficits. Presidents Harry Truman and Dwight Eisenhower restored surpluses within two years of every 1940s and 1950s recession, while mostly dismissing Keynesian theories that were being shaped in academia at that time. Truman even raised taxes to help pay for the Korean War (what a novel idea!), while Eisenhower went so far as to claim that “continued deficit spending is immoral.”

In other words, there are several layers of contradictions in Krugman’s reliance on the post-World War II period to support calls for more stimulus. Perhaps most glaringly, the reduction to a 60% debt-to-GDP ratio by 1957 (about half of the 1946 figure) was achieved partly by avoiding the types of Keynesian stimulus measures that have since helped push debt back above 100% of GDP. If Krugman’s ideas about deficits existed at all in the 1950s, they certainly had no influence in policymaking circles, where old-fashioned principles of fiscal discipline still held sway. And without Truman’s and Eisenhower’s un-Krugman-like beliefs, the success story that he cites as a reason to be unconcerned wouldn’t have unfolded the way that it did.

Krugman’s use of this decidedly non-Keynesian episode of debt reduction to justify his Keynesian beliefs reminds me of the many times (too many) that I’ve encountered “circular reference” errors in Excel. His logic is no less flawed or “circular.” But since there’s no spreadsheet involved, I’ll call it an error of induction.

Getting back to RR versus PK, Krugman refuses to walk away from a smear campaign that’s based on overblown accusations of questionable thresholds, selective data use and a spreadsheet error.

I think it’s time to change focus and consider the questionable thresholds, selective data use and induction error in Krugman’s work.

src zh

Intel vs AMD ($INTC)

May 21, 2013 at 4:00 am

A former engineer over at SA provided a technical analysis on why Intel will win vs. AMD.  Also, as a result, $AAPL will suffer.

There has been a great deal of discussion about whether or not Intel’s recent failure to continue its long train of increasing sales and profits – year to year – in each quarterly report, is critical. Many proponents have taken the position that Intel’s stutter is singular and reflects a temporary reduction in PC sales and/or a hiatus before new products become available for the PC market and newer growing mobility markets. Many opponents support a position that says that ARM (ARMH) has decimated Intel in the mobility markets and that there is no way Intel can take market share from ARM. And now, AMD is preparing to enter the fray, presumably to capture market share from ARM and compete with Intel.

The Intel proponents cite significant semiconductor process advantages and new products to be released soon. The ARM proponents cite better architectures and lower power, along with an abundance of design wins in existing platforms. The AMD proponents – well, they don’t have anything to cite except maybe low cost.

How is an investor to evaluate the rhetoric and determine the financial outcome of this battle of words?

My position as a technical expert allows me to evaluate the true capabilities of ARM/TSMC (really ARM/ anybody_who_can_build_ARM_processors) vs. Intel – with AMD nipping at everyone’s tail, when it comes to mobility applications. I am about to do that in a way that should settle this hassle for the near future.

Without further ado, I can state with certainty that the new mobile oriented processors coming from Intel later this year will capture the processor space for the leading smartphones and tablets.

There are two fundamental, related, reasons for this:

  1. These processors are faster than anything that ARM/TSMC (or AMD) can offer at the same level of power consumption.
  2. Their power consumption at the same level of performance is much less than anything ARM/TSMC (or AMD) can offer.

You have heard all this before, but many of you don’t believe this and are still arguing that moving to 28 nanometer or 20nm (still planar) will save ARM from the Intel bomb. Well, that’s just wrong! Read on!

These two statements, above, are corollaries to laws of physics relating to silicon FET-based integrated circuits. In current technologies – 32 nanometer and smaller – constructed in a planar (TSMC) fashion, the predominant use of energy occurs as a result of leakage in inactive FETs. The FETs leak because they are running at low voltage, and in order to do that, they must have low threshold voltages. When you construct a FET with low threshold voltage in a planar technology, you can’t completely turn it off. So it leaks.

When you construct a FET for the same use in a 3D or “finFET” technology, the gate (the valve that controls the flow of charge carriers) has much more effective control and is more nearly able to completely extinguish the leakage current in the inactive FETs. Voila, the battery charge lasts longer. And because the gate length is shorter, the FET uses less energy for each transition from one state to another. So you can squeeze more transitions from a given amount of stored energy in the battery, i.e. it runs faster.

It’s the laws of physics that controls the winner in the processor race for mobile applications, and Intel has already won this race. Anyone who disagrees is in denial, has some ulterior motive, or is just dense.

What all this means is that whoever builds phones or tablets using Intel processors can make them run faster and run longer on a given battery than by using an ARM (or AMD) processor.

This argument cuts off the other arguments about market share, design wins, better architecture and other objections by the Intel opponents.

Market share is a measure of the past. What was, not what is. What is, is that the 22nm finFET is a better transistor and it makes for a better processor. If you want the best processor in your next phone/tablet/mobility_device, it had better be an Intel processor.

Architecture is an abstract thing; the “goodness” of an architecture can only be measured by objective effects. How quickly can I do something? How long will the battery charge last? Intel wins again, by actual comparison in Motorola phones!

I have given you the facts that support my statement that Intel has already won this race. If any of you want to continue to argue about this, please supply the facts that support your argument. I don’t argue with people I don’t know unless I know the facts that they are trying to use to support their arguments.

Now, the impact of this win:

It’s clear that Intel will rapidly gain market share pitting phones with Intel inside against phones with ARM or AMD inside. As I have stated elsewhere, this is a case where word of mouth will sell Intel-based phones and tablets. Whoever buys one will be delighted and tell their friend about the long battery life and the great performance – and their friends and their friend’s friends will go out and buy “Intel inside.” Marketing 101!

This will likely have a strong negative impact on Apple (AAPL), TSMC, and AMD. It will take TSMC about 3 years to fully vet a 14 nanometer finFET process in preparation for full production. Intel should be there in a year. So Intel has a near-term 2-year lead; that’s a painful disadvantage in the marketplace.

As an aside, I should mention that the positive effects of the finFET process for Intel are not limited to the mobile market – which to my mind includes smartphones, tablets, and laptops/ultrabooks.

Depending upon the degree of emphasis Intel applies to the Foundry business, this can be very big for them also – not only will customers want to use these processors inside of most ASICs (Application Specific Integrated Circuits), but they will enable the Intel Foundry to gain customers who are unable to build their chips in TSMC processes. This class of customer includes anyone who is trying to build a very large chip, a chip that will melt as a result of its own leakage current when built by TSMC can turn into duck-soup for the Intel Foundry.

And finally, do a Wiki search on “Intel MIC.” There you will find some information about multiple integrated core processors and who is buying them from Intel.Stay tuned for more articles on Intel.

src sa

Best And Worst Performing Assets In 2013

April 4, 2013 at 12:00 am

A rather skewed distribution in asset returns Year to Date (through March 31), with the winners so far i) the Nikkei, in both JPY and USD terms, on endless jawboning out of the Japanese political apparatus that it may do virtually anything – although in a few hours we will see just what the BOJ actually will do, the S&P on the $85 billion in monthly liquidity injections, and finally the FTSE on expectations the arrival of yet another Goldman central planner will unleash yet another epic episode of monetization in July, just as the Japan effect is fading. The losers: pretty much everyone else. (BitCoin was not included in the sample).

Total Return Performance of Major Assets YTD 2013

src zh

Seth’s Advice For Today…

March 27, 2013 at 4:40 pm

Every morning, the first thing I do is read my emails. Seth Godin is one of my blog subscriptions. He writes some great stuff, this was today’s feed. I highly encourage subscribing to his blog.

Toward zero unemployment

 

A dozen generations ago, there was no unemployment, largely because there were no real jobs to speak of. Before the industrial revolution, the thought that you’d leave your home and go to an office or a factory was, of course, bizarre.

What happens now that the industrial age is ending? As the final days of the industrial age roll around, we are seeing the core assets of the economy replaced by something new. Actually, it’s something old, something handmade, but this time, on a huge scale.

The industrial age was about scarcity. Everything that built our culture, improved our productivity, and defined our lives involved the chasing of scarce items.

On the other hand, the connection economy, our economy, the economy of the foreseeable future, embraces abundance. No, we don’t have an endless supply of the resources we used to trade and covet. No, we certainly don’t have a surplus of time, either. But we do have an abundance of choice, an abundance of connection, and an abundance of access to knowledge.

We know more people, have access to more resources, and can leverage our skills more quickly and at a higher level than ever before.

This abundance leads to two races. The race to the bottom is the Internet-fueled challenge to lower prices, find cheaper labor, and deliver more for less.

The other race is the race to the top: the opportunity to be the one they can’t live without, to be the linchpin we would miss if he didn’t show up. The race to the top focuses on delivering more for more. It embraces the weird passions of those with the resources to make choices, and it rewards originality, remarkability, and art.

The connection economy continues to gain traction because connections scale, information begets more information, and influence accrues to those who create this abundance. As connections scale, these connections paradoxically make it easier for others to connect as well, because anyone with talent or passion can leverage the networks created by connection to increase her impact. The connection economy doesn’t create jobs where we get picked and then get paid; the connection economy builds opportunities for us to connect, and then demands that we pick ourselves.

Just as the phone network becomes more valuable when more phones are connected (scarcity is the enemy of value in a network), the connection economy becomes more valuable as we scale it.

Friends bring us more friends. A reputation brings us a chance to build a better reputation. Access to information encourages us to seek ever more information. The connections in our life multiply and increase in value. Our stuff, on the other hand,  becomes less valuable over time.

… [this riff is inspired by my new book...]

Successful organizations have realized that they are no longer in the business of coining slogans, running catchy ads, and optimizing their supply chains to cut costs.

And freelancers and soloists have discovered that doing a good job for a fair price is no longer sufficient to guarantee success. Good work is easier to find than ever before.

What matters now:

  • Trust
  • Permission
  • Remarkability
  • Leadership
  • Stories that spread
  • Humanity: connection, compassion, and humility

All six of these are the result of successful work by humans who refuse to follow industrial-age  rules. These assets aren’t generated by external strategies and MBAs and positioning memos. These are the results of internal struggle, of brave decisions without a map and the willingness to allow others to live with dignity.

They are about standing out, not fitting in, about inventing, not duplicating.

TRUST AND PERMISSION: In a marketplace that’s open to just about anyone, the only people we hear are the people we choose to hear. Media is cheap, sure, but attention is filtered, and it’s virtually impossible to be heard unless the consumer gives us the ability to be heard. The more valuable someone’s attention is, the harder it is to earn.

And who gets heard?

Why would someone listen to the prankster or the shyster or the huckster? No, we choose to listen to those we trust. We do business with and donate to those who have earned our attention. We seek out people who tell us stories that resonate, we listen to those stories, and we engage with those people or businesses that delight or reassure or surprise in a positive way.

And all of those behaviors are the acts of people, not machines. We embrace the humanity in those around us, particularly as the rest of the world appears to become less human and more cold. Who will you miss? That is who you are listening to .

REMARKABILITY: The same bias toward humanity and connection exists in the way we choose which ideas we’ll share with our friends and colleagues. No one talks about the boring, the predictable, or the safe. We don’t risk interactions in order to spread the word about something obvious or trite.

The remarkable is almost always new and untested, fresh and risky.

LEADERSHIP: Management is almost diametrically opposed to leadership. Management is about generating yesterday’s results, but a little faster or a little more cheaply. We know how to manage the world—we relentlessly seek to cut costs and to limit variation, while we exalt obedience.

Leadership, though, is a whole other game. Leadership puts the leader on the line. No manual, no rule book, no überleader to point the finger at when things go wrong. If you ask someone for the rule  book on how to lead, you’re secretly wishing to be a manager.

Leaders are vulnerable, not controlling, and they are racing to the top, taking us to a new place, not to the place of cheap, fast, compliant safety.

STORIES THAT SPREAD: The next asset that makes the new economy work is the story that spreads. Before the revolution, in a world of limited choice, shelf space mattered a great deal. You could buy your way onto the store shelf, or you could be the only one on the ballot, or you could use a connection to get your résumé in front of the hiring guy. In a world of abundant choice, though, none of these tactics is effective. The chooser has too many alternatives, there’s too much clutter, and the scarce resources are attention and trust, not shelf space. This situation is tough for many, because attention and trust must be earned, not acquired.

More difficult still is the magic of the story that resonates. After trust is earned and your work is seen, only a fraction of it is magical enough to be worth spreading. Again, this magic is the work of the human artist, not the corporate machine. We’re no longer interested in average stuff for average people.

HUMANITY: We don’t worship industrial the way we used to. We seek out human originality and caring instead. When price and availability are no longer sufficient advantages (because everything is available and the price is no longer news), then what we are drawn to is the vulnerability and transparency that bring us together, that turn the “other” into one of us.

For a long time to come the masses will still clamor for cheap and obvious and reliable. But the people you seek to lead, the people who are helping to define the next thing and the interesting frontier, these people want your humanity, not your discounts.

All of these assets, rolled into one, provide the foundation for the change maker of the future. And that individual (or the team that person leads) has no choice but to build these assets with novelty, with a fresh approach to an old problem, with a human touch that is worth talking about.

I can’t wait until we return to zero percent unemployment, to a time when people with something to contribute (everyone)  pick themselves instead of waiting for a bureaucrat’s permission to do important work.

Seth Godin’s Blog

Cheers

Evan

 

Errors, Robustness, and The Fourth Quadrant

March 27, 2013 at 5:07 am

Abstract: The paper presents evidence that econometric techniques
based on variance- L2 norm are flawed –and do not replicate. The result
is un-computability of role of tail events. The paper proposes a
methodology to calibrate decisions to the degree (and computability) of
forecast error. It classifies decision payoffs in two types: simple payoffs
(true/false or binary) and complex (higher moments); and randomness
into type-1 (thin tails) and type-2 (true fat tails) and shows the errors
for the estimation of small probability payoffs for type 2 randomness.
The Fourth Quadrant is where payoffs are complex with type-2
randomness. We propose solutions to mitigate the effect of the Fourth
Quadrant based on the nature of complex systems.

Download the paper: SSRN or NFV

Creating Customer Loyalty in Small Businesses by Using the Endowment Effect

March 24, 2013 at 6:41 pm

Here is a paper I had to write for one of my classes this semester. Figured I would share it! Hope you guys enjoy it.

 

Creating Customer Loyalty in Small Businesses by Using the Endowment Effect

By, Evan Mayberry

The endowment effect was first introduced in 1980 by an economist named Richard Thaler. His definition for this effect is “people often demand much more to give up an object than they would be willing to pay to acquire it”. In other words, as soon as ownership has been made, individuals will value it more. This effect is considered an irrational behaviour and is found in behavioural economics. Traditional economics indicates that all human beings make rational decisions and through those rational decisions economists can predict future outcomes. However, in my opinion, I believe people want to be rational, but in reality they are quite irrational with their decisions. In this paper, I am going to exploit this irrational behaviour and show how the endowment effect can create customer loyalty in small businesses. To do this I will first introduce customer loyalty and why it is important for small businesses, then I will provide various real-life scenarios in which the endowment effect has been successfully used to create loyalty. At the end there will be a conclusion of what was covered in the paper, along with my personal recommendations in how small businesses can encourage customer loyalty through a perceived sense of ownership.

 “Customer loyalty is the result of consistently positive emotional experience, physical attribute-based satisfaction and perceived value of an experience, which includes the product or services”– beyondphilosophy.com

This definition works perfectly with the endowment effect because it describes emotional experience. Emotions are what drive behavioural economics and are what make consumers act irrational.

Customer loyalty in small businesses is essential. If to be so bold, I would say it is the most important thing for a business to work towards. Naturally, in this type of business, everything is small (the building, the customer base, the employee base and the product line or the services offered). Given this, creating strong long-term relationships with customers should be a business’s number one priority. Why? Because not many people will know you exist. But for those people who do know you exist, they need to be sending out a positive and consistent message about your business. Positive word of mouth is one of the most influential and powerful ways of marketing. Creating loyalty will promote positive word of mouth, which in return will give you a competitive advantage. (Sounds good, right?)

Now that I have established what customer loyalty is and why it is so important. Let us now look at various real-life examples in which the endowment effect has successfully worked in creating customer loyalty. The various environments I will be covering are: professional photography, restaurants and my personal favorite a local climbing gym.

The Boiling Crab

Established in 2004 as Boiling Crab, this seafood restaurant has been making an incredible impact all across United States for their delicious food and consumer personalized ambience. You might be asking what this consumer personalized ambience is… let me tell you. In the picture above is the inside of one of the Boiling Crab restaurants located in New York. It doesn’t look that attractive, right? Instead of a restaurant with an elaborate and contemporary ambience, Boiling Crab lets their customers control the ambience. They do this by allowing customers to write whatever they like on the walls (to a limit), after consuming a meal.

 

How does this relate to the endowment effect and customer loyalty?

When customers have the opportunity to essentially put their signature (write on the wall) in the restaurant it creates a small sense of perceived ownership for that customer. Once that ownership has been established that customer instantly gains some emotional value, which will in turn make him/her more loyal to the restaurant. An example of this would be taking your friends to the Boiling Crab, so you can show him where you left your signature. Once your friends see what you wrote, they too will want to write something (but they have to eat something first).

JMC Photography

Based out of Maui, Hawaii, photography by Bonnie and John Carpenter (JMC) “specializes in professional wedding and portrait photography throughout the Hawaiian Islands”.  JMC photography is well renowned in Hawaii because of their ability to produce brilliant photos by creating multi-frame single shot images.  Multi-frame single shot images is the process of combing many different frames into one through Photoshop. Doing this allows them to create the best possible image and it also allows them to utilize the flash on the camera appropriately. This in turn produces amazing highlights on the image in various areas. To take these multi-frame single shots someone needs to be pushing the button on the camera. The camera is typically placed on a tripod for stability purposes and Bonnie or John is working with the placement of the individuals to create the best shot. So, who is pushing the button? Instead of hiring an assistant to take the shots for them, they have the customers take the shots.

How does this relate to the endowment effect and customer loyalty?

Having the customers push the button creates a sense of ownership because they are participating in the creation of the photo. Even though this participation is quite minimal in the whole photography process, customers can still say, “I helped JMC photography create this photo”. This makes a huge impact on the customer because it gives the photo even more emotional value than it already has. The return from this is a customer that will become more loyal to JMC photography and will want future events photographed by them.

Cliffside Climbing

This last example is my personal favorite, Cliffside Climbing gym located in Kamloops, British Columbia. Cliffside Climbing offers a series of route problems for top-rope (using a harness and rope to climb above twelve feet) and bouldering (climbing twelve feet or under without a rope). I have incorporated climbing in to my life and Cliffside Climbing were the ones who introduced it to me. Currently, I go to this gym about two to three times a week. The atmosphere is quite welcoming with positive energy and easygoing attitudes.

Cliffside Climbing offers some neat activities in which members can participate in. A couple of these activities are setting your own route problems and putting your hand print on the climbing walls. Setting your own route problems involves placing a series of different holds on wall to create a problem. This problem is left up on the wall for approximately four months with your name attached to it, to recognize your efforts. The other activity involves placing your handprint at the twelve foot mark on the climbing walls. This mark indicates the max height you can safely climb to without a rope.

How does this relate to the endowment effect and customer loyalty?

For the more involved member at the climbing gym, they are able to set route problems. Once they set the route problem they are recognized for it. This act creates a great sense of ownership within the climbing gym. While you are in the gym you will see other members climbing the route and feel a sense of personal accomplishment. The personal accomplishments will increase the emotional value of going to the climbing gym, which in turn will increase customer loyalty.

For the more casual member at the climbing gym, they are able to participate in placing their handprint on the climbing walls. Doing this creates a sense of ownership because you are placing your mark on the climbing gym. The next time those members come to climb at the gym they will see their handprints, which will increase the emotional value of going to the gym. With this increase in emotional value there will be an increase in customer loyalty.

What does this all mean?

As you can see from these three different examples, there is a positive correlation between the endowment effect and customer loyalty within small businesses. Creating some type of ownership for customers, regardless of how small it is, increases the emotional value of the customer for that business. This increase in emotional value in turn increases customer loyalty. In other words, the endowment effect can be quite a useful tool for businesses if used correctly.

Using the endowment effect properly is quite easy, but there are a series of guidelines that should be covered while doing it. Firstly, small businesses should make sure that everyone is treated as an equal. Each and every customer should have the equal opportunity to participate in the activity that is offered by the business. Secondly, small businesses should avoid complex activities that require a lot of thought processing. Use the KISS (keep it simple, stupid) principle when constructing and implementing the activity. Thirdly, make sure that the activity is fun and engaging. Having an activity that is fun and engaging will increase the emotional value for the customer. Moreover, it will leave the customer with positive remarks towards the business. The last note that I will leave on, is to treat customers as if they were family. In small businesses all relationships with each customer, is just as important as another. Keep the relationships professional, but go that extra mile for customers when the opportunities arise. If done properly, the results are amazing and rewarding.

 

References:

Beyond Philosophy; Company Website, 2013; http://www.beyondphilosophy.com/customer-experience/customer-loyalty

Boiling Crab; Company Website, 2004, www.theboilingcrab.com

Chan, Lawrence; 2 Simple Ways to Gain Customer Loyalty, October 2010; http://www.tofurious.com/marketing-tips/simple-ways-to-gain-loyalty-endowment-effect/#comments

Cliffside Climbing; Company Website, 2008: www.cliffsideclimbing.com

JMC Photography; Company Website, 2008; www.jmcmaui.com

wiseGEEK; blog/forum, 2003-2013; http://www.wisegeek.com/what-is-the-endowment-effect.htm

The NINJAs Are Back: Buy Life Insurance, Get A No Doc Mortgage Loan For Free

March 6, 2013 at 3:24 am

First we got GM subprime interest-free car loans,  then we got subprime ABS securitizations, then we got soaring student loan defaults and delinquencies, then we got the opportunity to sell and short student loan exposure, and now, finally, the credit bubble is complete as FastFunds Financial Corporation is proud to announce that it has acquired exclusive mortgage servicing rights for an “Innovative New Mortgage Product.” Why is it so innovative? Because it requires no credit verification, no credit history, no docs and needs no personal guarantees. In other words, it is the very worst of the worst lending practices we saw in 2006: the NINJA.

But there is a twist: “all that is required to qualify for a mortgage loan is qualifying for a life insurance policy, a down payment that usually amounts to 10% of the purchase price and verification that the borrower has the financial ability to pay the monthly payments.

In other words: buy life insurance, get a subprime, no doc mortgage for free.

Ye olde days are truly back.

From the FastFund credit bubble peak press release:

NET LIFE is a development stage enterprise that has developed and is offering an innovative new mortgage product that is not based on credit history (no doc) or personal guarantees. It is only secured by the underlying collateral and a life insurance policy on the borrower. Therefore, all that is required to qualify for a mortgage loan is qualifying for a life insurance policy, a down payment that usually amounts to 10% of the purchase price and verification that the borrower has the financial ability to pay the monthly payments. NET LIFE believes this mortgage product will be attractive to a wide spectrum of potential borrowers including:

  • first time homebuyers;
  • borrowers who have experienced prior financial difficulties such as foreclosures, bankruptcies, late payments or credit problems; are presently employed and whose current income would qualify for a mortgage loan; but who couldn’t otherwise qualify; and
  • borrowers who may wish to bypass the traditional paperwork involved in the typical underwriting process but who would otherwise qualify.

Since its formation in 2012, NET LIFE has completed development of its mortgage product and conducted testing via a limited number of successful closings. NET LIFE is now developing plans for a national launch of its product line.

“We are excited to be on the forefront of launching this exciting new product and especially being on the servicing side where we can gain substantial benefit without the risk associated with traditional mortgage underwriting,” stated Barry Hollander, acting Chief Executive Officer of FastFunds.

* * *
We, on the other hand, are just as excited to sit back and watch how this time the most spectacular credit bubble ever created with the full complicity of every central banker in the world “will be different” and have a different outcome than the last time…

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What Should We Be Worried About?

March 4, 2013 at 4:44 am

Nassim N. Taleb is a former derivatives trader who became a scholar and philosophical essayist in 2006. Although he is currently Distinguished Professor of Risk Engineering at New York University’s Polytechnic Institute, he self-funds his research and operates in the manner of independent scholars. Taleb is the author of The Black Swan (2007–2010) and Antifragile (2012). His works focuses on decision making under uncertainty, as well as technical and philosophical problems with probability and metaprobability, in other words “what to do in a world we don’t understand”.

What We Learn From Firefighters

How Fat Are the Fat Tails?

Eight years ago, I showed, using twenty million pieces of data from socioeconomic variables (about all the data that was available at the time), that current tools in economics and econometrics don’t work, whenever there is an exposure to a large deviations, or “Black Swans”. There was a gigantic mammoth in the middle of the classroom. Simply, one observation in 10,000, that is, one day in 40 years, can explain the bulk of the “kurtosis”, a measure of what we call “fat tails”, that is, how much the distribution under consideration departs from the standard Gaussian, or the role of remote events in determining the total properties. For the U.S. stock market, a single day, the crash of 1987, determined 80% of the kurtosis. The same problem is found with interest and exchange rates, commodities, and other variables. The problem is not just that the data had “fat tails”, something people knew but sort of wanted to forget; it was that we would never be able to determine “how fat” the tails were. Never.

The implication is that those tools used in economics that are based on squaring variables (more technically, the Euclidian, or L-2 norm), such as standard deviation, variance, correlation, regression, or value-at-risk, the kind of stuff you find in textbooks, are not valid scientifically (except in some rare cases where the variable is bounded). The so-called “p values” you find in studies have no meaning with economic and financial variables. Even the more sophisticated techniques of stochastic calculus used in mathematical finance do not work in economics except in selected pockets.

The results of most papers in economics based on these standard statistical methods—the kind of stuff people learn in statistics class—are thus not expected to replicate, and they effectively don’t. Further, these tools invite foolish risk taking. Neither do alternative techniques yield reliable measures of rare events, except that we can tell if a remote event is underpriced, without assigning an exact value.

The Evidence

The story took a depressing turn, as follows. I put together this evidence—in addition to a priori mathematical derivations showing the impossibility of some statistical claims—as a companion for The Black Swan. The papers sat for years on the web, were posted on this site, Edge (ironically the Edge posting took place only a few hours before the announcement of the bankruptcy of Lehman Brothers). They were downloaded tens of thousands of times on SSRN (the Social Science Research Network). For good measure, a technical version was published in a peer-reviewed statistical journal.

I thought that the story had ended there and that people would pay attention to the evidence; after all I played by the exact rules of scientific revelation, communication and transmission of evidence. Nothing happened. To make things worse, I sold millions of copies of The Black Swan and nothing happened so it cannot be that the results were not properly disseminated. I even testified in front of a Congressional Committee (twice). There was even a model-caused financial crisis, for Baal’s sake, and nothing happened. The only counters I received was that I was “repetitive”, “egocentric”, “arrogant”, “angry” or something even more insubstantial, meant to demonize the messenger. Nobody has managed to explain why it is not charlatanism, downright scientifically fraudulent to use these techniques.

Absence of Skin in the Game

It all became clear when, one day, I received the following message from a firefighter. His point was that he found my ideas on tail risk extremely easy to understand. His question was: How come risk gurus, academics, and financial modelers don’t get it?

Well, the answer was right there, staring at me, in the message itself. The fellow as a firefighter could not afford to misunderstand risk and statistical properties. He would be directly harmed by his error. In other words, he has skin in the game. And, in addition, he is honorable, risking his life for others not making others take risks for his sake.

So the root cause of this model fraud has to be absence of skin-in-the game, combined with too much money and power at stake. Had the modelers and predictors been harmed by their own mistakes, they would have exited the gene pool—or raised their level of morality. Someone else (society) pays the price of the mistakes. Clearly, the academics profession consists in playing a game, pleasing the editors of “prestigious” journals, or be “highly cited”. When confronted, they offer the nihilistic fallacy that “we got to start somewhere”—which could justify using astrology as a basis for science. And the business is unbelievably circular: a “successful PhD program” is one that has “good results” on the “job market” for academic positions. I was told bluntly at a certain business school where I refused to teach risk models and “modern portfolio theory” that my mission as a professor was to help students get jobs. I find all of this highly immoral—immoral to create harm for profit. Primum non nocer.

Only a rule of skin in the game, that is, direct harm from one’s errors, can puncture the game aspect of such research and establish some form of contact with reality.

Presenting The “Great Rotation”… Out Of Investing

March 3, 2013 at 6:44 pm

Since 2004, interest in ‘stocks’ and ‘bonds’ has plunged by more than 50%. Despite a renaissance for bonds in 2008, and stocks in 2009, the ‘Great Rotation’ appears to be ‘out of investing’. Google Trends also shows that, as expected, ‘Bonds’ have been more popular than ‘Stocks’ since the crash – a development the Fed is so desperately trying to reverse, by imposing ever stricter central planning, ironically the reason why most have “just said no” to anauthoritarian, inefficient, and farcical policy instrument formerly known as the market. Is it any wonder so many retail brokerages, commission-takers, and asset-gatherers are advertising day-in, day-out and constantly reassuring with the “it’ll all be ‘ok’ in the long-run meme”?

 

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Ugly Morning; Gold Pops As Stocks Drop

March 1, 2013 at 5:28 pm

It’s an ugly start to the day wherever we look. Europe is a bloodbath as the dead-cat-bounce hopes fade with Swiss 2Y rates notably negative once again and Italian bond spreads 55bps wider on the week (near the wides of the week) as Italy’s equity market plunges back to the lows (-4%) on the week. US equity futures are fading rapidly and after tracking gold for most of the last 12 hours, we are now seeing gold (and silver) resurge as stocks continues to slide back towards bonds un-exuberance. Treasury yields are at the lows of the week (-11bps). From weak macro data overnight to the whocouldanode sequestration, there’s plenty to worry about, but then again we have POMO in a few hours…

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