AC948 Case Studies in Financial Environments Lecture 3 - PowerPoint PPT Presentation

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AC948 Case Studies in Financial Environments Lecture 3

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Distributed agency in arbitrage operations includes a potential self-defeating element. ... are feasible: bond markets, not stock markets. What about volatility? ... – PowerPoint PPT presentation

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Title: AC948 Case Studies in Financial Environments Lecture 3


1
AC948 Case Studies in Financial Environments
Lecture 3
  • Yuval Millo, AFM, U. of Essex

2
Arbitrage in financial theory
  • The importance of arbitrage the engine behind
    market efficiency
  • Assumption arbitrage is done by many agents,
    each one incapable of affecting the price

3
Arbitrage in real life
  • Markets show that
  • a small number of sophisticated agents perform
    arbitrage
  • Skill and capital are distributed
  • As a result
  • Informational discrepancies may evolve between
    the investors and arbitrageurs and liquidity
    constrains may follow (remember the 1987
    example?)

4
Performance based arbitrage
  • Investors assume future returns and allocate
    capital on the basis of past performance
  • Hence, capital for arbitrage, and market share,
    is a function of past performance

5
Seeing the market differently
  • Convergence arbitrage positions become more
    lucrative as spreads grow
  • Yet, this, for the investors, is an signal for
    possible losses.
  • Distributed agency in arbitrage operations
    includes a potential self-defeating element.

6
Which markets have much PBA?
  • Future value calculations are feasible bond
    markets, not stock markets
  • What about volatility?
  • Under which market conditions will high
    volatility be beneficial to PB arbitrageurs?

7
Summary of the case so far
  • JM left Solomons (proprietary arbitrage) and
    founded LTCM (arbitrage for investors)
  • Informational gap was embedded into LTCMs
    structure
  • Investors did not know about the trading
    technique
  • Connection between trades and profits was unclear

8
Bond markets and arbitrage
  • The relation between the price and the yield make
    bond trading a relative speciality
  • Cognitively
  • Organisationally
  • Good conditions for the development of a split
    between investors and arbitrageurs (what happened
    in Solomons?)

9
Efficient markets and arbitrage
  • According to the B-S model, markets followed a
    random walk.
  • Yet, traders saw the model differently the model
    did not describe the market, but instead was used
    as an aid in deciding how to trade.
  • So, arbitrage was performed with the model, but
    not through the models

10
conditions for profitable arbitrage trading 1
  • Currency futures example (p.60 Inventing Money)
  • What are the conditions necessary for successful
    completion of the transaction?
  • What can go wrong?

11
conditions for profitable arbitrage trading 2
  • Capital is necessary for
  • Covering transaction costs in the time between
    opening the position and unwinding it (margin
    calls, mark to market
  • Creating leverage
  • Where is the risk, then?
  • In the market
  • In the arbitrage operation
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