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The Theory of Dynamic Hedging

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... no risk premium involved in the process --the package is deemed to be riskless. ... As an option trader I deem dynamic hedging unattainable --most of the package ... – PowerPoint PPT presentation

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Title: The Theory of Dynamic Hedging


1
The Theory of Dynamic Hedging
  • Nassim Nicholas Taleb
  • Fellow in Mathematics in Finance, Courant
    Institute of Mathematical Sciences, New York
    University
  • President, Empirica Capital LLC

2
  • Ntaleb_at_ix.netcom.com
  • Ntaleb_at_EmpiricaCapital.com
  • 203-861-8430

3
About this part of the course
  • My part is Clinical Finance, which will be
    further defined in the next lecture.
  • It is not the marriage of theory practice.
    Practice comes first last. This is best called
    theoretically inspired enhanced practice.
  • No (or minimum) theorems, no proofs. The
    important matter is to be convinced. Why?
    Because theorems are only as good as the
    assumptions on which they are built.

4
Some Holes With Existing Theory
  • According to strict theoretical considerations, I
    (as a derivatives trader) do not exist. Markets
    are fundamentally incomplete, and we have to live
    with it (Hakanssons paradox has not been solved
    so far).
  • The objective of this course is to make you live
    with it as well so you do not get a shock when
    you get out of here.
  • Ask questions --the real world does not have an
    owners manual.

5
  • Clinical finance will be further discussed after
    a brief presentation of the existing theories
    --so we have enough material to engage in a
    critique of the current framework.

6
The Theoretical Backbone of Modern Finance
  • This first lecture will focus on the theoretical
    backbone of modern finance, particularly in what
    applies to asset pricing
  • We will explore the origin of the thinking in
    financial economics
  • If so little in successful quantitative Wall
    Street is linked to the financial economics
    aspect of finance, it is not quite without a
    reason

7
Neoclassical Economics
  • Adam Smiths invisible hand
  • Walras auctioneer
  • Marshalls partial equilibrium
  • Arrow Debreus proof of the existence and
    uniqueness
  • The central conclusion is the idea of
    laisser-faire the government should not
    interfere with the system of markets that
    allocates resources in the private sector of the
    economy

8
Arrow-Debreu General Equilibrium
  • A competitive system with market prices
    coordinates the otherwise independent activities
    of consumers and producers acting purely in their
    self-interest.
  • Stands on shaky empirical foundations
  • no information
  • no adverse selection
  • no intermediation, no transaction costs
  • the model might have been reverse engineered,
    i.e. the correct assumptions were chosen because
    they led to the adequate solution.

9
Some more attributes
  • Theoretically Elegant
  • Idealized

10
Enters Uncertainty
  • Arrow is credited with the introduction of
    uncertainty in the model, thanks to a contraption
    now called Arrow (now Arrow-Debreu)
    securities.
  • In a 2-period model, it delivers 1 unit of
    numeraire in a given state of the world, 0
    otherwise.
  • These securities complete the market, i.e.
    eliminate uncertainty as agents can buy them as
    insurance.

11
Completeness
  • Definition of a complete market

12
State Prices
  • a.k.a.state contingent claims, elementary
    securities, building blocks,
  • These securities, by arbitrage, sum up to 1. Like
    probabilities, they are exhaustive and mutually
    exhaustive.
  • It is important to see that they are not quite
    probabilities, even when translated into their
    continuous price time limit.
  • This leads to the analog state price density for
    one period models.

13
  • Note I credit for the exposition of the next
    three theorems, Rubinsteins e-textbook (1999),
    www.in-the-money.com
  • Note a brief discussion of the inverse
    problem, i.e. the ability to pull out the state
    prices from derivatives (Breeden-Litzenberger,
    1978)

14
First Theorem Existence
  • Risk-neutral probabilities exist if and only if
    there are no riskless arbitrage opportunities.

15
Arbitrage opportunities
  • an arbitrage exists if and only if either
  • (1) two portfolios can be created that have
    identical payoffs in every state but have
    different costs or
  • (2) two portfolios can be created with equal
    costs, but where the first portfolio has at least
    the same payoff as the second in all states, but
    has a higher payoff in at least one state or
  • (3) a portfolio can be created with zero cost,
    but which has a non-negative payoff in all states
    and a positive payoff in at least one state.

16
Second Major Theorem Uniqueness
  • The risk-neutral probabilities are unique if and
    only if the market is complete.
  • Hint an incomplete market provides many
    solutions under this framework.

17
Third Major Theorem Dynamic Completeness
  • Arrow, in 1953, (tr. 1964) showed that, under
    some conditions, the ability to buy and sell
    securities can effectively make up for the
    missing securities and complete the market.

18
Bachelier
  • Aside from minor problems concerning the returns
    (arithmetic v/s logarithmic, which constitute a
    very small difference in common practice),
    Bachelier presented an option pricing tool that
    reposes on the actuarial distribution. In essence
    we are using his pricing method supplemented with
    arbitrage arguments.

19
Keynes Arbitrage argument
  • In 1923, Keynes effectively showed that by
    arbitrage argument, the forward needs to be equal
    to its arbitrage value, when lending borrowing
    are possible.
  • Covered Interest Parity Theoremapplied to the
    forward for a currency pair and, by extension, to
    any security that can be lent and borrowed.

20
The Importance of Keynes Intuition
  • Keynes was the first person in modern times to
    express the notion that the forward is not an
    expected future price, but an arbitrage-derived
    pseudo-expectation.
  • However it is of required use as an equivalent
    mean return in an arbitrage framework
  • Arrows state prices are the equivalent
    probabilitites

21
The Essence of Black-Scholes-Merton
  • What Black-Scholes did was not price options as
    we do it today. It merely made option pricing
    compatible with financial economics.
  • There are two aspects to BSM
  • First aspect the mean of the probability
    distribution used in their framework is that of
    the risk-neutral one (the µbecomes the difference
    between the carry and the financing).
  • Second aspect There is no risk premium involved
    in the process --the package is deemed to be
    riskless.

22
Assumptions Behind BSM
  • no riskless arbitrage opportunities
  • perfect markets
  • constant r
  • constant and known volatility (comment on the
    known)
  • no jumps

23
The Intuition
  • Assuming an economy with no interest rates, the
    operator has two packages
  • L1 short the European call option
  • L2 long the local sensitivity of the option
    worth of stock
  • L1 C(St,t) -C(St?t,t?t)
  • L2 ? (St?t -St)

24
  • It is important to see that L1 and L2 are
    negatively correlated, that the negative
    correlation increases as ?t goes to 0
  • It is important to see that, since the portfolio
    is delta neutral, there is no corresponding
    sensitivity of the total package to the asset
    price returns --therefore the return of the asset
    price becomes sensitive to the square variations
    .
  • Pricing by replication allows the option to be a
    redundant security.

25
Risk and Insurance
  • Why dynamic hedging separates finance from other
    disciplines of risk bearing

26
Food for Thought
  • As an option trader I deem dynamic hedging
    unattainable --most of the package variance comes
    from the jumps. We cannot ignore the actuarial
    aspect of things.
  • Black-Scholes reposes on a known distribution,
    with known parameters --I do not know much about
    the distribution

27
  • Blaming Bachelier for having a normal not
    lognormal distribution may be unfair since in
    the real world we use a distribution of some
    uncharacterized shape
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