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Financial	Engineering
and
Its	Discontents
Quantcon	2016
1
Emanuel Derman
Columbia University
Summary
Epistemology:	How	do	we	understand	the	animate	and	inanimate	worlds?
Theories,	Models,	Intuition,	Data.
Theories stand	on	their	own	feet,	rely	on	no	analogies.	
They	try	to	provide	absolute	knowledge.
Models stand	on	someone	else’s	feet.	
They	are	metaphors	that	explain	the	world	we	don’t	understand	in	terms	of	worlds	we	do.	
Data alone	has	no	voice.	You	need	Intuition to	develop	a	Theory.
Finance	has	no	theories,	only	a	variety	of	models.
The	only	reliable	law	of	finance.
Some	additional	discontents:	money,	sharing,	behavioral	economics.
Principles	I	like.
2
3
Ways of Knowing
§ How do we approach understanding the world?
§ The great triumph at the dawn of modern science: the understanding of gravitation and motion
§ For millennia after the Greeks, scientists’ prejudices led them describe all planetary movements in
terms of circles about a stationary earth.
§ But the motion of a planet, as seen from the orbiting earth itself, is too complicated for a single
circle and so it needs circles moving on circles moving on
§ Eventually, Copernicus pointed out that the earth wasn’t stationary, that the earth and planets
orbited the sun, and that the planets’ weird apparently retrograde motions were not intrinsically
theirs but rather a consequence of their being observed from the moving earth.
4
Kepler’s Laws
§ In the early 1600s Kepler examined the data on planetary positions and formulated his three
astonishing laws of planetary motion:
§ planets move in ellipses about the sun;
§ the line between the Sun and a planet sweeps out equal areas in equal times;
§ the square of the orbital period is proportional to the cube of the distance from the sun.
5
Kepler’s 2nd Law
§ If you want insight into the miracle of discovery, think about Kepler’s second law.
§ The line between the Sun and a planet sweeps out equal areas in equal times;
• This deep symmetry of planetary motion implies that the closer the planet to the sun, the more
rapidly it moves, as shown.
• There was no line between a planet and the sun for Kepler to observe. His data consisted of planetary positions in
the night sky.
• How then did he decide to describe the motion of the planets in terms of an invisible imaginary line?
• No one knows exactly, but it involved long immersion, struggle, and strange associative thinking that arose from
somewhere inside him, and then - Aha! - intuition, followed by checking the data.
6
Newton
§ Kepler’s laws described the patterns of the planets, but not their causes.
§ Newton found a cause; he showed that Kepler’s laws were a mathematical consequence of
Newton’s own theories:
§ Theory of gravitation (the inverse square law of attraction) and
§ Laws of motion (Force = mass times acceleration).
§ How did Newton discover his theories? For sure, the orbiting planets and falling apples didn’t
announce the laws that drove them.
Modes of Understanding 1: Intuition
7
§ It takes intuition to discover the nature of the world.
- Kepler, Newton, Ampere, Maxwell, Einstein, Dirac …
§ Intuition may sound casual but it takes intimate knowledge of the world acquired by careful
observation and painstaking effort.
§ Keynes on Newton:
I fancy his pre-eminence is due to his muscles of intuition being the strongest and most enduring
with which a man has ever been gifted …I believe that the clue to his mind is to be found in his unusual
powers of continuous concentrated introspection … His peculiar gift was the power of holding continuously in his
mind a purely mental problem until he had seen straight through it.
§ Maxwell on Ampére
“We can scarcely believe that Ampere really discovered the law of action by means of the experiments which he
describes. We are led to suspect, what, indeed, he tells us himself, that he discovered the law by some process
which he has not shown us, and that when he had afterwards built up a perfect demonstration, he removed all
traces of the scaffolding by which he had built it.”
§ The observer becomes so close to the object (or person) observed that he begins to experience their existence
from both outside and inside them. Intuition is a merging of the observer with the observed.
Modes of Understanding 2: Theories
8
§ Theories are deep descriptions of the laws of the world.
§ They can be right, partially right or totally wrong.
§ What all theories have in common is that, like God’s voice to Moses in the desert, they proclaim:
I am what I am.
§ Theories stand on their own feet. They are not analogies, but facts.
§ Newton’s laws have been supplanted by Einstein’s, but that doesn’t mean that Newton is an
approximation to Einstein. Both Newton’s and Einstein’s are theories.
§ Newton is to Einstein as cursive is to typing, or as navigation by the stars is to the Global
Positioning System.
§ Two different approaches reach the same end by different means, with different accuracies. One
doesn’t approximate the other. Both are theories that describe the facts.
§ Maxwell’s Equations for light
§ The Dirac equation for the electron:
§ Told a theory, you cannot ask: Why? It is what it is.
§ Goethe: One day we will realize that every fact is really a theory.
A	Non-Physics	Theory	…Spinoza’s	Theory	of	Emotions	as	Derivatives
9
§ Spinoza’s treats emotions like Euclid treats geometry: emotions are derivatives.
- Primitives are Desire, Pleasure, Pain.
§ Good is everything that brings pleasure, and Evil is everything that brings pain.
§ Love: Pleasure associated with an external object.
§ Hate: Pain associated with an external object.
§ Envy: Pain at another’s Pleasure.
§ Hope: Expectation of future Pleasure tinged with doubt.
§ Fear: Expectation of future Pain.
§ Cruelty: Desire to inflict Pain on a someone Loved.
§ Three more primitives:
- Vacillation, Wonder, Contempt.
Spinoza’s	Theory	of	Emotions	as	
Derivatives
10
Modes of Understanding 3: Models
11
§ The next mode of understanding is a model.
§ A model compare something we don’t understand to something we already do. It’s an analogy.
§ Told a model, you must ask: Why? What justifies the analogy?
§ The famous liquid drop model of the atomic nucleus pretends that the nucleus is a drop of water that can vibrate
and rotate and even fission into two. Useful, picturesque, but not entirely true.
§ Similarly, the Black-Scholes financial option model compares the uncertain movement of stock prices to the
diffusion of smoke from a cigarette tip. Useful, up to a point -- but not fact.
§ Theories tell you what something is. Models merely tell you what something is more or less like.
§ Models are metaphors, graven images of reality but not reality itself.
§ Models are analogies whose incautious use can unleash all the dangers of idolatry that God warned against in the
second of his commandments.
Modes of Understanding 4:
Data & Statistics
12
§ There’s one final mode of understanding: the statistical analysis that lies behind Big Data.
§ Statistics seeks to find past tendencies and correlations in data.
§ Often people assume they will persist.
§ Correlation does not imply causation.
§ Big Data is useful, but is not a replacement for the classic ways of understanding the world.
§ It is most useful in corporate and political advertising, it’s main triumphs so far.
§ Darwin 1861: "About thirty years ago there was much talk that geologists ought only to observe and not
theorize, and I well remember some one saying that at this rate a man might as well go into a gravel pit and count
the pebbles and describe all the colours. How odd it is that anyone should not see that all observation must be for
or against some view if it is to be of any service!”
§ Data has no voice. There is no “raw” data. Choosing what data to collect takes insight; making
good sense of it requires the classic method (cf. Kepler).
§ You still need a model, a theory, or intuition to find a cause.
§ Wittgenstein:
“Philosophy is a battle against the bewitchment of our intelligence by means of language”
I take that to mean that language can deceive our natural intuition, and we need philosophy to reclaim it.
§ In a similar sense, science is a battle against the smothering of our intelligence by data.
The	Only	Law	of	Finance
§ There	is	only	one	reliable	“law.”	If	you	want	to	know	the	value	of	something,	find	
something	similar	whose	price	the	market	tells	you.
§ Or	more	formally:	Any	two	securities	 with	identical	future	payoffs,	no	matter	
how	the	future	turns	out,	“should”	have	identical	current	prices.
§ If	you	want	to	know	the	value	of	a	financial	(target)	security,	use	the	known	price	
of	another	replicating	portfolio	that’s	as	similar	to	it	as	possible.	
§ To	build	a	model:
① Specify	all	future	scenarios	that	lead	to	payoffs	(science).
② Prove	similarity	of	payoffs	of	target	and	replicating	portfolio		(engineering).
§ The	science is	the	root	of	all	troubles.	There	is	no	accurate	theory	for	the	future	
scenarios	of	people.	There	are	only	models.	Specify	your	one.
13
The	Right	Way	to	Use	Financial	Models:	
§ They	are	all	wrong	so	assume	as	little	as	possible.
§ Finance	isn’t	math.	Avoid	axiomatization.
§ In	physics	it	pays	to	drop	down	deep,	formulate	a	principle,	then	come	back	up	
again.	In	finance,	shallow	is	better.	
§ Sweep	dirt	under	the	rug,	but	tell	people	about	it.
§ Think	of	models	as	Gedanken	experiments.
14
Discontents
15
Money	Means	Little
§ Money	is	insubstantial	 now.	
§ Rogue	trades	are	commonplace.
§ Why	does	HSBC	pay	$1.9	billion	to	settled	charges	of	laundering	drug	money,	and	
why	do	only	its	shareholders	bear	the	burden?
§ Ambrose	Bierce	in	The	Devil’s	Dictionary	(1911):
“CORPORATION,	n.	An	ingenious	
device	for	obtaining	individual	profit	without	individual	responsibility.”
16
Content	is	Free.
Distributors	Get	Rich	from	the
“Sharing	Economy”
§ The	sharing	economy	hasn’t	removed	intermediation.
§ Google	makes	more	money	for	leading	you	to	the	NY	Times	website	than	the	NY	
Times	does.
§ Über	makes	more	than	its	taxi	drivers	who	must	provide	cars	and	insure	
themselves.
§ Similarly	AirBnB.
§ Creating	content	is	worth	less	than	being	able	to	distribute	it.
17
Big	Data	and	Econometrics
§ “With	regressions	and	data	we	will	find	the	laws	of	nature	and	people”
§ But	science	isn’t	about	relations	between	sense	data.	
§ Science	is	about	understanding	the	causal	structure	of	the	world,	inspired	by	
data,	discovered	by	intuition,	formulated	in	theories	and	models.
§ Much	of	big	data	is	about	manipulation,	control,	advertising.
§ It	is	most	useful	in	corporate	and	political	advertising,	it’s	main	triumphs	so	far.	
18
Misbehavioral	Economics
§ Behavioral	Finance	began	with	Prospect	Theory	as	an	attempt	to	understand	and	
formalize	people’s	irrationality.
§ Now	it’s	a	messy	mathematical	 subject	filled	with	utility	functions,	the	hidden	
variables	of	economics.
§ Instead,	strange	publications	…	and	Paternalistic	Political	Command	and	Control,	
Nudge
§ In	the	social	sciences	all	models	are	wrong	too,	so	beware
Only	36%	of	psychology	experiments	 were	reproducible:	Nature
§ If	you	grew	up	in	South	Africa,	Russia,	Eastern	Europe,	China,	under	a	totalitarian	
system,	you	rightly		hate	to	be	controlled.
§ Nudge’s	biggest	proponents,	Thaler	and	Sunstein,	are	tenured	academics	who	
experience	as	little	control	as	is	possible.
§ It	is	most	useful	in	corporate	and	political	manipulation,	it’s	main	triumphs	so	far.	
§ There’s	little	benevolent	power	in	the	world. 19
Principles	I	Like
1. Everyone	is	a	grownup	and	no	one	is	more	grown	up	than	anyone	else.
2. If	you	want	the	benefits	of	taking	risk,	you	must	also	suffer	the	disadvantages.
3. Printing	money	cannot	solve	political	or	spiritual	problems.	It	can	only	postpone	them.
4. Don’t	treat	only	some	people’s	insolvency	as	illiquidity.
5. Optimization	in	human	affairs	is	an	illusion.	(You	always	need	more	capital	than	you	think.)
6. Corporations	are	neither	governments	nor	people.	Limit	their	power.
7. Provide	golden	parachutes	for	no	one;	provide	tin	parachutes	for	everyone.
8. “If	you	believe	that	capitalism	is	a	system	in	which	money	matters	more	than	freedom,	you	
are	doomed	when	people	who	don’t	believe	in	freedom	attack	using	money.”*
9. Principles	are	better	than	rules	(The	planets,	Glass-Steagall	vs.	Dodd-Frank).
___________
*	Quote	courtesy	of	Edward	Lucas’	book	The	New	Cold	War:	Putin’s	Russia	and	the	Threat	to	the	West.
20
The	Modelers’	Manifesto
21

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Financial Engineering and Its Discontents by Emanuel Derman at QuantCon 2016

  • 2. Summary Epistemology: How do we understand the animate and inanimate worlds? Theories, Models, Intuition, Data. Theories stand on their own feet, rely on no analogies. They try to provide absolute knowledge. Models stand on someone else’s feet. They are metaphors that explain the world we don’t understand in terms of worlds we do. Data alone has no voice. You need Intuition to develop a Theory. Finance has no theories, only a variety of models. The only reliable law of finance. Some additional discontents: money, sharing, behavioral economics. Principles I like. 2
  • 3. 3 Ways of Knowing § How do we approach understanding the world? § The great triumph at the dawn of modern science: the understanding of gravitation and motion § For millennia after the Greeks, scientists’ prejudices led them describe all planetary movements in terms of circles about a stationary earth. § But the motion of a planet, as seen from the orbiting earth itself, is too complicated for a single circle and so it needs circles moving on circles moving on § Eventually, Copernicus pointed out that the earth wasn’t stationary, that the earth and planets orbited the sun, and that the planets’ weird apparently retrograde motions were not intrinsically theirs but rather a consequence of their being observed from the moving earth.
  • 4. 4 Kepler’s Laws § In the early 1600s Kepler examined the data on planetary positions and formulated his three astonishing laws of planetary motion: § planets move in ellipses about the sun; § the line between the Sun and a planet sweeps out equal areas in equal times; § the square of the orbital period is proportional to the cube of the distance from the sun.
  • 5. 5 Kepler’s 2nd Law § If you want insight into the miracle of discovery, think about Kepler’s second law. § The line between the Sun and a planet sweeps out equal areas in equal times; • This deep symmetry of planetary motion implies that the closer the planet to the sun, the more rapidly it moves, as shown. • There was no line between a planet and the sun for Kepler to observe. His data consisted of planetary positions in the night sky. • How then did he decide to describe the motion of the planets in terms of an invisible imaginary line? • No one knows exactly, but it involved long immersion, struggle, and strange associative thinking that arose from somewhere inside him, and then - Aha! - intuition, followed by checking the data.
  • 6. 6 Newton § Kepler’s laws described the patterns of the planets, but not their causes. § Newton found a cause; he showed that Kepler’s laws were a mathematical consequence of Newton’s own theories: § Theory of gravitation (the inverse square law of attraction) and § Laws of motion (Force = mass times acceleration). § How did Newton discover his theories? For sure, the orbiting planets and falling apples didn’t announce the laws that drove them.
  • 7. Modes of Understanding 1: Intuition 7 § It takes intuition to discover the nature of the world. - Kepler, Newton, Ampere, Maxwell, Einstein, Dirac … § Intuition may sound casual but it takes intimate knowledge of the world acquired by careful observation and painstaking effort. § Keynes on Newton: I fancy his pre-eminence is due to his muscles of intuition being the strongest and most enduring with which a man has ever been gifted …I believe that the clue to his mind is to be found in his unusual powers of continuous concentrated introspection … His peculiar gift was the power of holding continuously in his mind a purely mental problem until he had seen straight through it. § Maxwell on Ampére “We can scarcely believe that Ampere really discovered the law of action by means of the experiments which he describes. We are led to suspect, what, indeed, he tells us himself, that he discovered the law by some process which he has not shown us, and that when he had afterwards built up a perfect demonstration, he removed all traces of the scaffolding by which he had built it.” § The observer becomes so close to the object (or person) observed that he begins to experience their existence from both outside and inside them. Intuition is a merging of the observer with the observed.
  • 8. Modes of Understanding 2: Theories 8 § Theories are deep descriptions of the laws of the world. § They can be right, partially right or totally wrong. § What all theories have in common is that, like God’s voice to Moses in the desert, they proclaim: I am what I am. § Theories stand on their own feet. They are not analogies, but facts. § Newton’s laws have been supplanted by Einstein’s, but that doesn’t mean that Newton is an approximation to Einstein. Both Newton’s and Einstein’s are theories. § Newton is to Einstein as cursive is to typing, or as navigation by the stars is to the Global Positioning System. § Two different approaches reach the same end by different means, with different accuracies. One doesn’t approximate the other. Both are theories that describe the facts. § Maxwell’s Equations for light § The Dirac equation for the electron: § Told a theory, you cannot ask: Why? It is what it is. § Goethe: One day we will realize that every fact is really a theory.
  • 9. A Non-Physics Theory …Spinoza’s Theory of Emotions as Derivatives 9 § Spinoza’s treats emotions like Euclid treats geometry: emotions are derivatives. - Primitives are Desire, Pleasure, Pain. § Good is everything that brings pleasure, and Evil is everything that brings pain. § Love: Pleasure associated with an external object. § Hate: Pain associated with an external object. § Envy: Pain at another’s Pleasure. § Hope: Expectation of future Pleasure tinged with doubt. § Fear: Expectation of future Pain. § Cruelty: Desire to inflict Pain on a someone Loved. § Three more primitives: - Vacillation, Wonder, Contempt.
  • 11. Modes of Understanding 3: Models 11 § The next mode of understanding is a model. § A model compare something we don’t understand to something we already do. It’s an analogy. § Told a model, you must ask: Why? What justifies the analogy? § The famous liquid drop model of the atomic nucleus pretends that the nucleus is a drop of water that can vibrate and rotate and even fission into two. Useful, picturesque, but not entirely true. § Similarly, the Black-Scholes financial option model compares the uncertain movement of stock prices to the diffusion of smoke from a cigarette tip. Useful, up to a point -- but not fact. § Theories tell you what something is. Models merely tell you what something is more or less like. § Models are metaphors, graven images of reality but not reality itself. § Models are analogies whose incautious use can unleash all the dangers of idolatry that God warned against in the second of his commandments.
  • 12. Modes of Understanding 4: Data & Statistics 12 § There’s one final mode of understanding: the statistical analysis that lies behind Big Data. § Statistics seeks to find past tendencies and correlations in data. § Often people assume they will persist. § Correlation does not imply causation. § Big Data is useful, but is not a replacement for the classic ways of understanding the world. § It is most useful in corporate and political advertising, it’s main triumphs so far. § Darwin 1861: "About thirty years ago there was much talk that geologists ought only to observe and not theorize, and I well remember some one saying that at this rate a man might as well go into a gravel pit and count the pebbles and describe all the colours. How odd it is that anyone should not see that all observation must be for or against some view if it is to be of any service!” § Data has no voice. There is no “raw” data. Choosing what data to collect takes insight; making good sense of it requires the classic method (cf. Kepler). § You still need a model, a theory, or intuition to find a cause. § Wittgenstein: “Philosophy is a battle against the bewitchment of our intelligence by means of language” I take that to mean that language can deceive our natural intuition, and we need philosophy to reclaim it. § In a similar sense, science is a battle against the smothering of our intelligence by data.
  • 13. The Only Law of Finance § There is only one reliable “law.” If you want to know the value of something, find something similar whose price the market tells you. § Or more formally: Any two securities with identical future payoffs, no matter how the future turns out, “should” have identical current prices. § If you want to know the value of a financial (target) security, use the known price of another replicating portfolio that’s as similar to it as possible. § To build a model: ① Specify all future scenarios that lead to payoffs (science). ② Prove similarity of payoffs of target and replicating portfolio (engineering). § The science is the root of all troubles. There is no accurate theory for the future scenarios of people. There are only models. Specify your one. 13
  • 14. The Right Way to Use Financial Models: § They are all wrong so assume as little as possible. § Finance isn’t math. Avoid axiomatization. § In physics it pays to drop down deep, formulate a principle, then come back up again. In finance, shallow is better. § Sweep dirt under the rug, but tell people about it. § Think of models as Gedanken experiments. 14
  • 16. Money Means Little § Money is insubstantial now. § Rogue trades are commonplace. § Why does HSBC pay $1.9 billion to settled charges of laundering drug money, and why do only its shareholders bear the burden? § Ambrose Bierce in The Devil’s Dictionary (1911):
“CORPORATION, n. An ingenious device for obtaining individual profit without individual responsibility.” 16
  • 17. Content is Free. Distributors Get Rich from the “Sharing Economy” § The sharing economy hasn’t removed intermediation. § Google makes more money for leading you to the NY Times website than the NY Times does. § Über makes more than its taxi drivers who must provide cars and insure themselves. § Similarly AirBnB. § Creating content is worth less than being able to distribute it. 17
  • 18. Big Data and Econometrics § “With regressions and data we will find the laws of nature and people” § But science isn’t about relations between sense data. § Science is about understanding the causal structure of the world, inspired by data, discovered by intuition, formulated in theories and models. § Much of big data is about manipulation, control, advertising. § It is most useful in corporate and political advertising, it’s main triumphs so far. 18
  • 19. Misbehavioral Economics § Behavioral Finance began with Prospect Theory as an attempt to understand and formalize people’s irrationality. § Now it’s a messy mathematical subject filled with utility functions, the hidden variables of economics. § Instead, strange publications … and Paternalistic Political Command and Control, Nudge § In the social sciences all models are wrong too, so beware Only 36% of psychology experiments were reproducible: Nature § If you grew up in South Africa, Russia, Eastern Europe, China, under a totalitarian system, you rightly hate to be controlled. § Nudge’s biggest proponents, Thaler and Sunstein, are tenured academics who experience as little control as is possible. § It is most useful in corporate and political manipulation, it’s main triumphs so far. § There’s little benevolent power in the world. 19
  • 20. Principles I Like 1. Everyone is a grownup and no one is more grown up than anyone else. 2. If you want the benefits of taking risk, you must also suffer the disadvantages. 3. Printing money cannot solve political or spiritual problems. It can only postpone them. 4. Don’t treat only some people’s insolvency as illiquidity. 5. Optimization in human affairs is an illusion. (You always need more capital than you think.) 6. Corporations are neither governments nor people. Limit their power. 7. Provide golden parachutes for no one; provide tin parachutes for everyone. 8. “If you believe that capitalism is a system in which money matters more than freedom, you are doomed when people who don’t believe in freedom attack using money.”* 9. Principles are better than rules (The planets, Glass-Steagall vs. Dodd-Frank). ___________ * Quote courtesy of Edward Lucas’ book The New Cold War: Putin’s Russia and the Threat to the West. 20