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Derivatives

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But like most financial instruments, they can also be used for speculation' ... Most Financial Scandals of the last decade in the US and UK were linked to ... – PowerPoint PPT presentation

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Title: Derivatives


1
Derivatives Risk Management
  • Derivatives are mostly used to hedge (limit)
    risk
  • But like most financial instruments, they can
    also be used for speculation taking on added
    risk in the expectation of gain

2
Basics of Option Pricing
  • Basic to Option Pricing is the idea of a
    Riskless Hedge
  • A Riskless Hedge would be a situation in which
    you can buy some form of insurance that
    guarantees you the same money --whether the
    market goes up or down.

3
Example of Riskless HedgeStock 40, Call
Option Buys it at 35
4
What is this Call Option Worth?
  • Since this hedge is riskless, it should be
    evaluated at the risk-free rate.
  • Say risk-free rate (on US Bonds) is 8.
  • In one year, Portfolio of 22.50 has Present
    Value of
  • PV 22.50/1.08 20.83

5
Recall, Stock is now worth 40.
  • So, it costs 0.75(40) 30.00 to purchase
  • ¾ of a share. Then
  • Price of Option Cost Stock PV Portfolio
  • Price of Option 30 20.83
  • 9.17

6
We have just derived the price
  • We take as known the present and future prices
    of the underlying asset.
  • We know the probabilities of these future
    prices.
  • From this knowledge of future prices and
    probabilities, we derive the price of the
    derivative.

7
In the simulation to follow, we will Go in Both
Directions
  • We will use knowledge of future prices and
    volatility on underlying asset to derive the
    current price of the option.
  • We can also use knowledge of the current price to
    derive future prices and volatility.

8
Run Simulation
  • From Financial Models Using Simulation and
    Optimization
  • by Wayne Winston.

9
Limitations of Log-Normal Assumption
  • Log-Normality fails to reproduce some of the
    important features of empirical asset price
    dynamics such as
  • Jumps in the asset price
  • Fat Tails of the Probability Distribution
    Function

Empirical pdf
St
Jump
S0
Gaussian
Fat Tails
T
0
si1 si
10
How is this Modeled?
  • Mertons (1976) Jump Diffusion Process
  • Size of Jumps is itself Log-Normally Distributed
    and added to the model.
  • Timing of Jumps is Poisson Distributed.
  • - Yusaku Yamamoto Application of the Fast Gauss
    Transform to Option Pricing
  • www.na.cse.nagoya-u.ac.jp/yamamoto/work/KR
    IMS2004.ppt

11
Derivatives get a Bad Name
  • Most Financial Scandals of the last decade in the
    US and UK were linked to derivatives, some
    combination of excessive speculation and fraud
  • Barrings Bank
  • Enron
  • World-Com
  • Back-Dating of Options

12
Reasons for Fraud
  • Leveraging makes possible fantastic gain, but
    also horrible losses
  • Gamblers Last Desperate Hope (Adverse
    Selection)
  • Complexity of Derivatives make fraud harder to
    identify

13
Greater Long-Term Concernthan Fraud Systemic
Risk
  • The Moral Hazard of Insurance
  • If you had a car that is less damaged by any
    given car crash would that make you drive
    faster?
  • If you (and everybody else) drove faster, could
    this actually wind up making you less safe ?
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