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Teaching and Exchanges Eugene Kandel

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Title: Teaching and Exchanges Eugene Kandel


1
Teaching and ExchangesEugene Kandel
  • 2002

2
Lecture 1
  • Introduction

3
Greetings
  • Who am I?
  • Who are you?
  • Why are we here?
  • What will we do?

4
Administration
  • Lectures.
  • Readings.
  • Independent study.
  • Grades will be based on an exam (30) and the
    seminar paper.
  • Book Lawrence Harris, Trading and Exchanges,
    Oxford Press.

5
Objectives
  • Learn about markets.
  • Understand theoretical issues involved.
  • Appreciate the complexity of exchange design, and
    the importance of details.
  • Make you a better investor, or an analyst.
  • Not necessarily to train you as a trader.

6
We will examine
  • Why do people trade, and how they do it
  • What do markets/exchanges add to society
  • Which market characteristics appeal to investors
  • Why are markets organized this way
  • The recent changes in market design
  • The role of public policy.

7
Who sets prices?
  • New and used car markets
  • Buyers and sellers may not know about each other
  • Sellers may have informational advantage
  • Sellers and buyers may not know the true price
  • Sellers and buyers arrive at different times.

8
Back to Financial Markets
  • Problems with CAPM-type world
  • Information incompleteness and asymmetry
  • Price discovery
  • Demand for and supply of liquidity.
  • Markets and institutions arise to address these
    problems. However, these activities are costly,
    and various risks remain!

9
Transaction costs
  • CAPM with transaction cost
  • Nobody holds market portfolio
  • Idiosyncratic risk
  • Portfolio imbalances
  • Higher required return.
  • Transaction cost is only one aspect
  • Liquidity risk
  • Price deviation risk.

10
Proceed...
  • Introduce terminology.
  • Classify markets.
  • Discuss important concepts by first
    experimenting, and then formalizing.
  • Study cases of several markets.
  • If possible, visit a trading room.

11
Lecture 2
  • Terminology and Classifications

12
Terminology
  • Markets
  • Market participants
  • Orders
  • Quotes
  • Other.

13
Classifications of market types
  • Primary vs. Secondary.
  • Continuous vs. Call (Trading Rounds).
  • Single auction vs. Double auction.
  • Quote driven vs. Order driven.
  • Electronic / Open Outcry / Negotiated
  • Levels of transparency.

14
Overview of markets
  • Bond Markets (US, TASE)
  • FX - spot
  • Futures (Chicago, Europe)
  • Derivatives (Chicago, Interbank, TASE)

15
Market Participants
  • Trader / Investor
  • Informed trader
  • Liquidity / Noise trader
  • Broker
  • Dealer
  • Market Maker
  • Specialist / Floor traders.

16
Orders
  • Limit order
  • Limit order book (LOB)
  • Market order
  • Marketable limit order
  • ATC and ATO.
  • Other orders.

17
Quotes
  • Bid and Ask (Offer) price
  • Depth (quantity)
  • Dealer quote
  • Inside quote
  • Spread dealer and inside.

18
Misc.
  • Trading session
  • Trading procedures
  • Price and Time priority
  • Volume
  • Volatility
  • NBBO
  • Execution quality / Price improvement.

19
Classifications of securities
  • Stocks/equities
  • Bonds
  • Commercial paper
  • FX - spot
  • Futures - commodities, currencies, indices
  • Derivatives.

20
Important features
  • Price levels
  • Volume
  • Sensitivity to news
  • Magnitude of potential news
  • Degree of private information
  • Competition among trading venues.

21
Brokers
  • Verify creditworthiness - buffer.
  • Provide bundled services.
  • Allow access to markets.
  • Provide information, but face competition.
  • Find liquidity and match trades - compete with
    markets (ECNs).

22
Exercise
  • Classify two of the following exchanges,
    according to criteria above, using information
    from the Web
  • NYSE
  • Nasdaq
  • London Stock Exchange
  • Paris Bourse
  • Deutsche Bourse
  • Tokyo Stock Exchange
  • Toronto Stock Exchange.

23
Proceed
  • We formulate four theoretical models underlying
    the main issues in Microstructure.
  • Dealer Market
  • Inventory model
  • Asymmetric information model
  • Auction market
  • Call auction
  • LOB.

24
Lecture 3
  • Dealer Markets Inventory Model

25
Questions
  • Dealer is willing to provide liquidity from his
    inventory what are his considerations?
  • Risk aversion?
  • Competition?
  • Inventory size?
  • Trade size?

26
Lets play a game
  • You are a dealer in a particular security.
  • Your inventory, denoted by Y, equals the last 4
    digits of your phone number. If it is even, then
    this is the number of shares you own. If the
    number is odd - then this is the number of shares
    that you owe me.
  • After one round of trading each share of this
    security pays an amount V a random variable
    distributed uniformly on an interval 80, 120.
    Everybody knows this distribution.

27
Rules (cont.)
  • In a few seconds a trader will come into the room
    and will buy or sell a fixed number of shares,
    denoted by X, using a market order. You have to
    quote a Bid and an Ask price at which you are
    willing to make this trade.
  • Remember that the number of shares she trades
    does not depend on the quoted price, but she will
    choose the best price out of all prices in this
    class. In other words you compete with your
    classmates for the trade. All of you must set
    quotes independently.

28
Formal Model
  • Risk averse dealer with inventory Y.
  • Perfectly competitive market (simplification).
  • The value of security, V, is a random variable
    with Mean m and STDEV s.
  • Dealer has mean - variance preferences.
  • Trade size is X.

29
Dealer choice
  • Perfect competition ensures that he is
    indifferent between buying (selling) and not
    trading.
  • His action affects the risk he bears.
  • Derive Bid and Ask prices, and the resulting
    Spread.
  • Discussion.

30
Variations of the model
  • One sided
  • Alternative competition models
  • Yet the basic intuition remains if traders
    demand liquidity, they impose costs on the dealer
    (in general), and have to pay a premium to cover
    these costs.

31
Exercise
  • Reproduce the inventory model when there is 50
    probability that two traders (one buyer and one
    seller) will arrive simultaneously. The rest is
    as in class.
  • If you cannot solve it, discuss the intuition.
  • What happens to prices?
  • What happens to spread?

32
Lecture 4
  • Dealer Markets Asymmetric Information Model

33
Questions
  • Risk neutral dealer is willing to provide
    liquidity from his inventory what are his
    considerations?
  • Risk aversion? - No
  • Competition? - perhaps.
  • Inventory size? - No
  • Trade size? - No
  • Information?

34
Bid for Money
  • I hold in my hand an envelope with cash. The
    amount in the envelope is a random variable drawn
    from a Uniform distribution 25,75.
  • Each of you gets a signal drawn from some
    distribution. The amount in the envelope is the
    expected value of your signal.
  • You have to bid (sealed) to win the envelope.
    This is real money.

35
Another Game
  • On my way to class I saw that somebodys bicycle
    is stolen, and I know who owns it?
  • Should I reveal the identity in public?
  • Should I reveal it in private?
  • Should I reveal privately, but in public?
  • How much would you pay me for each of these
    options (to reveal or not to).

36
Other examples
  • Market for lemons.
  • Winner's curse Auctions, IPOs.
  • Conclusion One should infer hidden information
    from revealed actions, assuming rationality.

37
Formal Model
  • Risk neutral dealer.
  • Perfectly competitive market (simplification).
  • The value of security, V, is a random variable
    with Mean m and STDEV s.
  • Dealer has mean - variance preferences.
  • One trader knows V with probability l.

38
Dealer choice
  • A trade may signal information, in which case it
    is detrimental to the dealer.
  • Otherwise the trade is profitable.
  • If he is willing to quote prices to all, he must
    on average break even, thus he has to charge
    informationless traders for the losses caused by
    the informed.

39
Why have noise traders?
  • No trade Theorem.
  • Suppose two people believe that the value of
    security is 1,..5 with equal probabilities.
  • They have no incentives to trade.
  • Suppose one gets a signal that values 5 is not
    viable while the other gets a signal that value
    1 is not viable. Now they differ in valuations
    will there be prices at which they will trade?

40
Exercise Monopoly Dealer!
  • Play Monopoly Dealer! game three times, and
    record your sessions. Use different settings each
    time.
  • Analyze the printout of each session, and suggest
    improvements to your strategy.
  • Winning money is not important for this exercise.

41
Lecture 5
  • Call Auction and Limit Order Book

42
Questions
  • Beliefs vs. Opinions.
  • How does market aggregate information?
  • You versus the market what should be your
    investment policy?

43
Scenario 1 Opinions
  • Many opinions exist in the market place.
  • Each person conditions his demand for security on
    his own opinion, and on the price.
  • Markets clear and the resulting price represents
    the weighted diversity of opinions of the
    participants.
  • This is no different from the differing tastes
    for dresses determining their prices.

44
Scenario 2 Beliefs
  • The same as before, however now you would like to
    know the opinions of others to better estimate
    the true value.
  • In this case you have two pieces of information
    your own noisy signal, and the aggregate signal -
    the price.
  • Better use it in your decisions.

45
What is different?
  • Security price has another function, which is
    missing from the price of dresses - information.
  • High prices increase the attractiveness of the
    stock, while low prices decrease it.
  • Decline in variance increases the attractiveness.

46
Conclusions
  • Market price contains the aggregation of
    everybodys opinions.
  • If you believe that others opinions are
    relevant, then you need to rely heavily on the
    price.
  • If not, then place your bets...

47
Limit Order Book
  • No intermediaries
  • Traders can submit market or limit orders fully
    strategic behavior.
  • Market order demands liquidity and pay for it.
  • Limit order supplies liquidity, but pays the cost
    of delay in execution.
  • Traders differ in their level of patience.

48
Conclusions
  • Patient traders submit limit orders, impatient -
    market orders.
  • Order submission strategy depends on the degree
    of competition holes.
  • The book evolves over time.
  • Simplicity.
  • Multitude of empirical predictions.

49
Lecture 6
  • Different Modes of Competition in a Dealer Market

50
Topics
  • Discrete prices and their effect.
  • Payment for order flow.

51
Competition
  • Competition with discrete prices.
  • Cost per Unit 0.9 Prices 1, 2, 3 ...
  • Suppose the inside spread exceeds the cost by two
    tick sizes - does an individual dealer want to
    reduce the spread?
  • The answer is - NOT LIKELY!

52
Ask
Tick
Spread
Cost
Tick
Bid
53
Implications
  • At least TWO competitive equilibria exist for any
    number of dealers.
  • Price greater than cost does not necessarily mean
    collusion.
  • Collusion in certain spread range cannot be ruled
    out by appealing to competitive forces.

54
Odd Eighths Avoidance...
  • ...or Preference for Spreads Two Ticks
  • Above Cost (Spreads vs. Quotes).
  • Coordination by convention.
  • Once established no communication or enforcement
    required.
  • Easy to break and hard to re-establish.
  • Negative externality.

55
Hypotheses
  • Preference for two-tick above costs spreads
    regardless of the tick size
  • Stocks quoted on 1/16th should avoid odd 1/16th
    quotes.
  • Stocks quoted on 1/16th should not avoid odd
    1/8th quotes.
  • Coordination implies higher profits
  • Stocks which avoid odd 1/8ths must have higher
    spread, ceteris paribus.

56
Payment for order flow
  • Market makers contract directly with brokers for
    their entire order flow.
  • Match NBBO.
  • Pay brokers rebates (fees).
  • Internalization.

57
Brokers
Order Flow
Market
Makers
58
Brokers
Large Trades
Small Trades
Market
Makers
59
Brokers
Large Trades
Small Non-preferenced Trades
Market
Makers
60
Flow of argument
  • Avoidance Spread Preferencing

61
Equilibrium Conditions
  • Demand and Supply for preferenced trades.
  • Market clearing
  • Profit maximization by brokers in the choice of
    venue
  • Profit maximization and individual rationality
    for market makers (entry and exit).

62
Brokers Decision
Vertically Integrate
Use SOES
Preference
Brokers Volume
V
V
63
Conclusions
  • Price discreteness and payment for order flow may
    drastically alter the equilibria in the dealer
    market.
  • Payment for order flow can exist in other market
    types as well.

64
Lecture 7
  • NYSE and Nasdaq Case Studies

65
Goals
  • Understand the evolution of these two major world
    equity markets.
  • Evaluate the importance of institutional features
    (sometimes quite negligible at first glance).
  • Understand the effect of regulatory environment
    on market performance.

66
NYSE
  • The first exchange in the US, to become the
    leading world exchange.
  • Type of market trading floor / electronic order
    delivery call auction in the morning continuous
    double auction (LOB) specialist and floor
    traders during the day.
  • Membership 1400, specialists 400.

67
Recent History
Year Share Turnov Seat Aver Number
Volume Volume () Price Price
of Trades 1958 747 15 150 - 1968
2,932 24 210 9,704 1978 7,205 27 70
33 10,050 382 1988
40,850 55 700 37 17,739
1,366 1997 133,312 69 1,300 51
102,550 5,779
68
Rights and responsibilities of the specialist
  • Mandate to maintain a fair and orderly market.
  • Why should they do this, rather than making
    money? Because this is conducive to making
    money. They act mostly as facilitators and
    brokers, but also as dealers.
  • Can step before the limit order if improves the
    price, but has the last priority if does not.

69
Order and Quote Delivery
  • Order delivery systems
  • SuperDot (Designated Order Turnaround) 600
    messages per second capacity
  • BBSS (Broker Booth Support System) either
    directly to the specialists Display Book or to
    the Brokers booths and from there to the floor.
  • ITS (Intermarket Trading System) Boston, Phily,
    Chicago, Cincinnati, Nasdaq, and ECNs.

70
Listing requirements
  • SRO
  • Few firms do IPOs on NYSE they mostly transfer
    from other exchanges. Only large spin-offs of
    existing firms, large IPOs (Goldman), and foreign
    firms.
  • Rule 500.

71
Performance
  • Volume shoots up when fixed commissions are
    abolished in 1975.
  • Payment for order flow low commissions, new
    systems developed, speedy execution, trading over
    the Internet.
  • Spreads declined over the last decade as volumes
    increased and became much lower following the
    introduction of 16th (percentage spreads declined
    even more since prices rose).
  • NYSE volume share declines from 86 to 83 in 10
    years. Much less in small transactions (close to
    50).

72
Upcoming changes
  • Decimalization.
  • More transparency.
  • More automatic execution.

73
Nasdaq
  • Nasdaq was frequently used as an example of a
    perfectly competitive market
  • homogeneous product
  • many participants
  • free entry
  • immediately observable prices, quoted in advance.
  • 1994 - 1998 witnessed 70-80 price decline!

74
Features
  • Dealer market with no floor.
  • Competition as a comparative advantage.
  • Traditionally considered as a Farm Team for the
    NYSE and AMEX. Place for firms to go public,
    before joining the big league.
  • Fragmented trading venues.

75
History
  • 1973 - Creation of a computer network connecting
    the dealers - automated quotations.
  • 1981 - SOES (Small Order Execution System)
  • 1988 - SOES becomes mandatory (bandits)
  • 1991 - Payment for order flow is OK
  • 1994 - Christie and Schultz - avoidance
  • 1997 - New rules 16th tick
  • 2001 - Decimalization.

76
Prior to 1997
  • Fragmented trading venues (price grids)
  • quotations ( indicates where they bind)
  • SOES ()
  • preferenced order flow ( - market)
  • telephone
  • SelectNet
  • ECN
  • Crossing networks.

77
Payment for Order flow
  • High profits from market making shift the
    competition for orders from quotes to direct
    payments.
  • Small and medium-sized brokers sell their orders
    to wholesalers large brokers vertically
    integrate into market making.
  • Incentives to quote aggressively disappear thus
    spreads widen, increasing the profits and
    payments.

78
Christie and Schultz - 1994
  • This paper caused 33 lawsuits (1.25Bln) SEC,
    and DOJ investigations, and market reform.
  • Avoidance was very pervasive 70 of stocks
    priced above 10.
  • Hard to predict.
  • Affected mostly smaller trades (either SOES or
    preferenced).
  • The effect on the quoted spread is in excess of
    0.20 or close to 1.5 of the stock price.

79
Hypotheses
  • Preference for round numbers
  • Saving on negotiations costs
  • Defense against SOES bandits
  • Discrete prices yield multiple equilibria
    coordination rather than cartel enforcement (odd
    sixteenths avoidance).

80
New Order Handling Rules
  • SEC demands market reforms, which are implemented
    in Jan 1997
  • Limit orders
  • ECNs,
  • Less fragmentation,
  • Different equilibrium.
  • Spreads decline by 27 volume does not change
    volatility does not change, and the cost of
    trading declines for all trade sizes. Estimated
    savings for investors 2 5 Bln per year.
    (Relative to 1994 much more).

81
More reforms
  • Predicted impact on the payment for order flow
  • July 1997 - reduction of tick size stocks under
    the old trading system are barely affected large
    improvement in the stocks traded under the new
    OHR.
  • Upcoming decimalization.
  • Nasdaq today what is lost and what is gained.
    The sponsorship hypothesis.
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