DETERMINANTS OF THE COMPONENTS OF THE BIDASK SPREAD ON THE LSE - PowerPoint PPT Presentation

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DETERMINANTS OF THE COMPONENTS OF THE BIDASK SPREAD ON THE LSE

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Quote driven (obligatory market making) to order driven e.g FTSE100 stocks. Quote driven to hybrid e.g FTSE250 stocks. GENERIC RESEARCH QUESTION ... – PowerPoint PPT presentation

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Title: DETERMINANTS OF THE COMPONENTS OF THE BIDASK SPREAD ON THE LSE


1
DETERMINANTS OF THE COMPONENTS OF THE BID-ASK
SPREAD ON THE LSE
  • Dr. Evangelos GIOUVRIS
  • School of Management
  • Royal Holloway, University of London

2
MOTIVATION
  • Changes in trading systems
  • Floor trading to electronic trading
  • Batch trading (discrete time) to continuous
  • Quote driven (obligatory market making) to order
    driven e.g FTSE100 stocks
  • Quote driven to hybrid e.g FTSE250 stocks

3
GENERIC RESEARCH QUESTION
  • How do changes in trading systems affect
    information dissemination, risk perception and as
    a consequence the cost components of the bid-ask
    spread?

4
BID-ASK SPREAD THEORY (1)
  • Spread has three components inventory, order
    processing and asymmetric info
  • Stoll (1989) decomposes spread making the
    following assumptions
  • The market is informationally efficient so that
    expected price changes are independent of current
    and past information.
  • The bid-ask spread is constant over time and all
    transactions occur at the highest bid or the
    lowest ask
  • The proportions of bid-ask spread components are
    the same for all securities

5
BID-ASK SPREAD THEORY (2)
  • CRITICISM spread components are biased as a
    result of the existence of positive
    autocorrelation in returns which leads to a
    downwards bias in the estimation of the realised
    spread
  • George.J, Kaul.G Nimalendran.M (1991) correct
    correct for this by estimating returns based on
    transaction prices and bid to bid
  • Kim Ogden improve by using mid-quotes

6
RESEARCH HYPOTHESES
  • H1 the asymmetric component is higher under a
    quote-driven trading regime and lower under an
    order-driven trading regime
  • H2 the asymmetric information component of the
    spread does not change between quote driven and
    hybrid markets.
  • H3 volatility appears to have a stronger impact
    on both cost components under a quote driven
    regime but reduces significantly under an order
    driven regime (FTSE100).
  • H4 volatility appears to have the same impact on
    the cost components of the spread under a quote
    driven and a hybrid market. (FTSE250)

7
COST COMPONENT REGRESSIONS
  • Si2-cov(RDi,tRDi,t-1)1/2
  • Si?0?1SQi?t
  • Si?0?1Di?2SQi?3(DiSQi)?t (GKN regression,
    difference between transaction prices and
    subsequent bid quotes)
  • Si?0?1Di?2SQi?3(DiSQi)?t (KO regression,
    difference between transactions prices and
    mid-quotes )
  • Si?0?1Di?2SQi?3(Di(1/TSSQ2i)1/2)?t (KO
    regression with KO estimator)

8
COST COMPONENTS OF THE BID-ASK SPREAD FOR FTSE100
STOCKS
9
COST COMPONENTS OF THE BID-ASK SPREAD FOR FTSE250
STOCKS
10
DETERMINANTS OF COST COMPONENTS REGRESSIONS
  • closing spreadit a0 a1Di ?0NTit ?1(DiNTit)
    ?0TVit ?1(DiTVit) ?0VOLit ?1(DiVOLit) ?it
  • spread(every trade) it a0 a1Di ?0TVit
    ?1(DiTVit) ?0VOLit ?1(DiVOLit) ?it
  • asymmetric informationit a0 a1Di ?0NTit
    ?1(DiNTit) ?0TVit ?1(DiTVit) ?0VOLit
    ?1(DiVOLit) ?it
  • order processingit a0 a1Di ?0NTit
    ?1(DiNTit) ?0TVit ?1(DiTVit) ?0VOLit
    ?1(DiVOLit) ?it

11
REGRESSION OF FTSE100 ALL STOCKS ON NUMBER OF
TRADES (NT), TRADING VOLUME (TV) AND VOLATILITY
(VOL) UNDER SEAQ AND SETS
12
REGRESSION OF FTSE250 ALL STOCKS ON NUMBER OF
TRADES (NT), TRADING VOLUME (TV) AND VOLATILITY
(VOL) UNDER SEAQ AND SETSMM
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