Monday, November 7, 2016

MAIN & WALL University

Brining 21st Century Thinking into the World of Finance.... to make the World a Better Place...

MW / Fintech Consultants

We do not have a 21st Century Financial System...

What we have is:

A System with 19th-century Ideas and 20th-century Institutions... Juiced with 21st-century technology...

Sunday, May 8, 2016

Modular-Finance Theory

Charlie Munger: Adding Mental Models to Your Mind’s Toolbox

Berkshire Headquarters
In The Art of War Sun Tzu said “The general who wins a battle makes many calculations in his temple before the battle is fought.”
Those ‘calculations’ are the tools we have available to think better. One of the best questions you can ask is how we can make our mental processes work better.
Charlie Munger says that “developing the habit of mastering the multiple models which underlie reality is the best thing you can do.”
Those models are mental models.
They fall into two categories: (1) ones that help us simulate time (and predict the future) and better understand how the world works (e.g. understanding a useful idea from like autocatalysis), and (2) ones that help us better understand how our mental processes lead us astray (e.g., availability bias).
When our mental models line up with reality they help us avoid problems. However, they also cause problems when they don’t line up with reality as we think something that isn’t true.
In Peter Bevelin’s Seeking Wisdom, he highlights Munger talking about autocatalysis:
If you get a certain kind of process going in chemistry, it speeds up on its own. So you get this marvellous boost in what you’re trying to do that runs on and on. Now, the laws of physics are such that it doesn’t run on forever. But it runs on for a goodly while. So you get a huge boost. You accomplish A – and, all of a sudden, you’re getting A + B + C for awhile.
He continues telling us how this idea can be applied:
Disney is an amazing example of autocatalysis … They had those movies in the can. They owned the copyright. And just as Coke could prosper when refrigeration came, when the videocassette was invented, Disney didn’t have to invent anything or do anything except take the thing out of the can and stick it on the cassette.
This leads us to an interesting problem. The world is always changing so which models should we prioritize learning?
How we prioritize our learning has implications beyond the day-to-day. Often we focus on things that change quickly. We chase the latest study, the latest findings, the most recent best-sellers. We do this to keep up-to-date with the latest-and-greatest.
Despite our intentions, learning in this way fails to account for cumulative knowledge. Instead we consume all of our time keeping up to date.
If we are prioritize learning, we should focus on things that change slowly.
The models that come from hard science and engineering are the most reliable models on this Earth. And engineering quality control – at least the guts of it that matters to you and me and people who are not professional engineers – is very much based on the elementary mathematics of Fermat and Pascal: It costs so much and you get so much less likelihood of it breaking if you spend this much…
And, of course, the engineering idea of a backup system is a very powerful idea. The engineering idea of breakpoints – that’s a very powerful model, too. The notion of a critical mass – that comes out of physics – is a very powerful model.
After we learn a model we have to make it useful. We have to integrate it into our existing knowledge.
Our world is mutli-dimensional and our problems are complicated. Most problems cannot be solved using one model alone. The more models we have the better able we are to rationally solve problems.
But if we don’t have the models we become the proverbial man with a hammer. To the man with a hammer everything looks like a nail. If you only have one model you will fit whatever problem you face to the model you have. If you have more than one model, however, you can look at the problem from a variety of perspectives and increase the odds you come to a better solution.
“Since no single discipline has all the answers,” Peter Bevelin writes in Seeking Wisdom, “we need to understand and use the big ideas from all the important disciplines: Mathematics, physics, chemistry, engineering, biology, psychology, and rank and use them in order of reliability.”

Modern Finance Theory...

The most recent crisis, however, has allowed critics to gain a hearing; new ideas—either more scientific, in that they are based on empirical data, or on the contrary, arguing that economics and finance should be placed back in the realm of the social sciences—are beginning to be discussed seriously.
As Professor Lo (2012) wrote:

The recent financial crisis has exposed some serious gaps in our understanding of the global economy, and the need to take stock and get our academic house in order has never been greater. This presents us with a precious opportunity to make wholesale changes to our discipline that would otherwise be impossible, so we should delay no longer. (p. 48)

Is Finance Theory Adrift?

In the aftermath of the 2007–09 financial crisis, mainstream finance theory was criticized for having failed to either forecast or help prevent the market crash, which resulted in large losses for investors. Although as of the writing of this book at the end of 2013, markets have recovered beyond precrisis levels, the investors enjoying the recovery are not always the same investors as those who suffered the losses. So, the crash caused permanent impairment of wealth in many cases.

Saturday, April 2, 2016


When Thomas Jefferson wrote in the Declaration of Indepence that certain truths were held to be "self-evident", he was not recording a timeless fact; he was asserting one into being.

Monday, February 22, 2016

Sunday, February 21, 2016


"For one thing, it is critical to foster ambidexterity by balancing the exploitation of profitable current businesses with the search for new ones. In addition, there must be support for a culture of experimentation, including through the creation of an autonomous innovation unit."

Martin Reeves
Senior Partner and Managing Director, BCG


Out Thinking The limits of what is posible...

Sunday ~ February 21, 2016 ...Farnam Street - Brain Pickings Sunday

Wednesday, January 20, 2016

Why "Multiple Intelligence" Is a Better Way to Think About Having Smarts...

"When it comes to leaders of organizations, they not only need to have some blend of intelligence themselves, but it's very, very important for them to realize that not everybody who they work with is going to think the same way." (ie btw The Failure of The Obama Administration )

Howard Gardner

Tuesday, January 12, 2016

This Idea Must Die...

Science advances by discovering new things and developing new ideas. Few truly new ideas are developed without abandoning old ones first. As theoretical physicist Max Planck ( 1858 -1947) noted, "A new scientific truth does not triumph by convincing its opponents and making them see the light, but rather because its opponents eventually die, and a new generation grows up that is familiar with it." In other words, science advances by a series of funerals. Why wait that long?

Ideas change, and the times we live in change. Perhaps the biggest change today is the rate of change. What established scientific idea is ready to be moved aside so that science can advance?

Hat tip ~, This Idea Must Die

Monday, January 11, 2016


The notion that the economy is an evolutionary system is a radical idea, especially because it directly contradicts much of the standard theory in economics developed over the past one hundred years. It is far from a new idea, however. Evolutionary theory and economics have a long and intertwined history. In fact, it was an economist who helped spark one of Charles Darwin's most important insights. In 1798, the English economist Thomas Robert Malthus published a book titled An Essay on the Principle of Population, as It Affects Future Improvements of Society, in which he portrayed the economy as a competitive struggle for survival and a constant between population growth and humankind's ability to improve its productivity. It was a race that, Malthus predicted, humankind would lose. Darwin read Malthus's work and described his reaction in his biography.

     In October 1838, that is fifteen months after I had begun my systemic enquiry, I happened to read with    amusement "Malthus on Population", and being well prepared to appreciate the struggle for existence which everywhere goes on from long-continued observation of the habits of animals and plants, it once again struck me that under these circumstances favorable variations would tend to be preserved and unfavorable ones to be destroyed. The result would be the formation of a new species.

Here then I had at last got a theory by which to work.

   Darwin's great insight into the critical role of natural selection in evolution was thus inspired by economics. It was not long after Darwin published his Origin of Species that the intellectual currents began to flow back the other way from evolutionary theorists to economists. In 1898, the economist Thorstein Veblen wrote an article that still reads remarkably well today arguing that the economy is an evolutionary system.