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QuantCongress Europe/NewY ork November 2005/Stern F ebruary 2006 1 Mike Lipkin Options Trading as a Game

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Page 1: Mike LipkinQuantCongress Europe/NewYork November 2005/Stern February 2006 1 Options Trading as a Game

QuantCongress Europe/NewYork November 2005/Stern February 2006

1Mike Lipkin

Options Trading as a Game

Page 2: Mike LipkinQuantCongress Europe/NewYork November 2005/Stern February 2006 1 Options Trading as a Game

QuantCongress Europe/NewYork November 2005/Stern February 2006

2Mike Lipkin

AndOptions Market-Making on an

Exchange Floor

Reality, NOT Theory

Mike Lipkin, American Stock Exchange and

Katama Trading, LLC

Page 3: Mike LipkinQuantCongress Europe/NewYork November 2005/Stern February 2006 1 Options Trading as a Game

QuantCongress Europe/NewYork November 2005/Stern February 2006

3Mike Lipkin

Page 4: Mike LipkinQuantCongress Europe/NewYork November 2005/Stern February 2006 1 Options Trading as a Game

QuantCongress Europe/NewYork November 2005/Stern February 2006

4Mike Lipkin

Page 5: Mike LipkinQuantCongress Europe/NewYork November 2005/Stern February 2006 1 Options Trading as a Game

QuantCongress Europe/NewYork November 2005/Stern February 2006

5Mike Lipkin

Dynamics: Everything on the Screen is time-varying at high-frequency.

Nevertheless: Economists (especially), Financial Mathematicians, Physicists, etc. have attempted to model what prices are seen on the screen, often by suppressing time-variations at these frequencies. This is not unreasonable, but it does not reflect the reality of exchange trading.

Page 6: Mike LipkinQuantCongress Europe/NewYork November 2005/Stern February 2006 1 Options Trading as a Game

QuantCongress Europe/NewYork November 2005/Stern February 2006

6Mike Lipkin

Four Possible Model Types for Screen Representation:

A) An equilibrium (read arbitrage-free) state; no high-frequency dynamics (thermodynamics)

B*) A far-from-equilibrium state

C*) A dynamical steady-state

D†) A game board between moves

*-dynamics to be supplied †-rules for moves to be supplied

Page 7: Mike LipkinQuantCongress Europe/NewYork November 2005/Stern February 2006 1 Options Trading as a Game

QuantCongress Europe/NewYork November 2005/Stern February 2006

7Mike Lipkin

Black-Scholes, et al., (CEV, VG,…) belong to the first class

a) Options have unique prices that change continuously with time (although stock prices may be subject to delta-function impulses: Brownian motion or even jumps). If the stock price is unchanged, the option price will be unchanged as t0.

b) Stock prices move randomly according to the underlying (perhaps Brownian) process, with usually a drift bias provided by the risk-free rate.

c) Markets are frictionless so transaction costs may be ignored.

Page 8: Mike LipkinQuantCongress Europe/NewYork November 2005/Stern February 2006 1 Options Trading as a Game

QuantCongress Europe/NewYork November 2005/Stern February 2006

8Mike Lipkin

d) A consistent valuation of option prices needs the underlying variables of the stock process: interest rates, volatility or standard deviation of the stock price movement, dividend dates and amounts, etc.

BUT:

e) Option valuation is independent of other factors especially (but not limited to) supply and demand for options and stock.

Page 9: Mike LipkinQuantCongress Europe/NewYork November 2005/Stern February 2006 1 Options Trading as a Game

QuantCongress Europe/NewYork November 2005/Stern February 2006

9Mike Lipkin

In actual floor and screen trading, all these conditions are violated.

t= tnow tchartexp- texp

Page 10: Mike LipkinQuantCongress Europe/NewYork November 2005/Stern February 2006 1 Options Trading as a Game

QuantCongress Europe/NewYork November 2005/Stern February 2006

10Mike Lipkin

Market-Maker as Maxwell’s Demon

“Sell 300 May 50’s at $1.80”

Page 11: Mike LipkinQuantCongress Europe/NewYork November 2005/Stern February 2006 1 Options Trading as a Game

QuantCongress Europe/NewYork November 2005/Stern February 2006

11Mike Lipkin

Real Options Pricing is Path-Dependent. Into the Trenches….

As an example, we concentrate on XYZ Nov 50 calls for the next several slides.

Page 12: Mike LipkinQuantCongress Europe/NewYork November 2005/Stern February 2006 1 Options Trading as a Game

QuantCongress Europe/NewYork November 2005/Stern February 2006

12Mike Lipkin

XYZ Nov 50 C 1.40 1.60 (200x200)

Scenario A:

10:03:00 initial market

10:03:30 “Buy 50 calls at the market”

10:04:00 “Sell 50 calls at $1.50” Scenario B:

10:03:00 initial market

10:03:30 “Sell 50 calls at $1.50”

10:04:00 “Buy 50 calls at the market”

Page 13: Mike LipkinQuantCongress Europe/NewYork November 2005/Stern February 2006 1 Options Trading as a Game

QuantCongress Europe/NewYork November 2005/Stern February 2006

13Mike Lipkin

Time-line for the two scenarios:

10:03:00 :29 :30 :31 10:04:00

A: 1.50 1.50 1.60 1.50 1.50

B: 1.50 1.50 1.45 1.45 1.50

Page 14: Mike LipkinQuantCongress Europe/NewYork November 2005/Stern February 2006 1 Options Trading as a Game

QuantCongress Europe/NewYork November 2005/Stern February 2006

14Mike Lipkin

Response to SIZE trading:

XYZ: 32.60 32.70 (400x750)

Broker: Nov 50 calls, size market.

Specialist: 1.40-1.60, 500-up; 1.30-1.70, 1000-up

Broker: I’ll pay up to $1.80 for 5000!

---Specialist: You bought 500 at 1.60, 500 more at 1.70; the ISE

is at 1.70, I’ll try to clear the away market….I only bought 100 at 1.70 away; there’s 500 more at 1.75, I’ll try to get those.

Page 15: Mike LipkinQuantCongress Europe/NewYork November 2005/Stern February 2006 1 Options Trading as a Game

QuantCongress Europe/NewYork November 2005/Stern February 2006

15Mike Lipkin

Size trading continued…

Suppose that a lot of stock is available at $32.70 (unlikely!!)

Specialist: How many have you done so far (through $1.75)?

Broker: 3500, $1.80 bid for 1500.

Some traders have an oversupply of premium.

Traders: Sell 100; Sell 50; Sell 100; etc.

When all are done (and the away markets are cleared) the broker still is bidding for 800. The new market reads:

Nov 50C 1.80 1.95 (800x500)

Page 16: Mike LipkinQuantCongress Europe/NewYork November 2005/Stern February 2006 1 Options Trading as a Game

QuantCongress Europe/NewYork November 2005/Stern February 2006

16Mike Lipkin

LEANING:

Page 17: Mike LipkinQuantCongress Europe/NewYork November 2005/Stern February 2006 1 Options Trading as a Game

QuantCongress Europe/NewYork November 2005/Stern February 2006

17Mike Lipkin

An estimate of the deltas for the XYZ Nov 50 calls with the stock at $32.70 might be 20.

The broker has bid for 100,000 deltas. So far he has bought 84,000.

HOW MUCH STOCK HAS THE CROWD BOUGHT?

A LOT, maybe 125,000!!

Page 18: Mike LipkinQuantCongress Europe/NewYork November 2005/Stern February 2006 1 Options Trading as a Game

QuantCongress Europe/NewYork November 2005/Stern February 2006

18Mike Lipkin

VALUATION:

During all this flurry of trading, the market-makers are adjusting the theoretical valuations of the options. WHY?

Because traders don’t input the measured stock volatility of a model and get a price. They plug the trading price of the option into a model and arrive at a volatility.

When trading began, Nov 50 calls were worth $1.50; now they are valued at $1.80+. So without the stock moving the price has increased by 30¢.

Page 19: Mike LipkinQuantCongress Europe/NewYork November 2005/Stern February 2006 1 Options Trading as a Game

QuantCongress Europe/NewYork November 2005/Stern February 2006

19Mike Lipkin

Valuation continued…

A trader in the crowd has increased the volatility he uses for Nov 50 options by 10 clicks. He raises the Dec options on the 50 line by 5 points and the 45’s and 50’s by 3 points.

This is all heuristic, seat-of-the-pants fiddling. When he does this, it turns out that the Feb 45 puts have a new theoretical value. Originally he thought the puts were worth $14.34.

Feb 40 P 14 14.40

Trader: Feb 40 puts, 14.40 for 50

Specialist: 32 there. You bought them.

Page 20: Mike LipkinQuantCongress Europe/NewYork November 2005/Stern February 2006 1 Options Trading as a Game

QuantCongress Europe/NewYork November 2005/Stern February 2006

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Valuation continued…

Later in the day the stock is trading 35.25. With nothing on the book the market reads:

Nov 50 C 2.65 2.85 (200x200)

Trader A is short 500 deltas.

The same broker enters the crowd and asks for the market.

Without hearing what order the broker has, he immediately tries to buy deltas, selling puts, buying calls and stock.

Specialist: 2.65-2.85 200-up

Broker: Where do 500 come?

Page 21: Mike LipkinQuantCongress Europe/NewYork November 2005/Stern February 2006 1 Options Trading as a Game

QuantCongress Europe/NewYork November 2005/Stern February 2006

21Mike Lipkin

Valuation, cont…

What is the role of an equilibrium model?

Once the new prices are stable, calendars and verticals are priced off the standard models.

Page 22: Mike LipkinQuantCongress Europe/NewYork November 2005/Stern February 2006 1 Options Trading as a Game

QuantCongress Europe/NewYork November 2005/Stern February 2006

22Mike Lipkin

Real World Example:

• On September 16, 2005, a BA customer sold 150,000 FDC Jan 40 calls to market-makers, mostly within a two-hour window.

• The implied volatility went from 23 to 19 in January and from 28 to 20 in November.*

* at-the-money options

Page 23: Mike LipkinQuantCongress Europe/NewYork November 2005/Stern February 2006 1 Options Trading as a Game

QuantCongress Europe/NewYork November 2005/Stern February 2006

23Mike Lipkin

RISK:

So supply and demand is the principle reason for market-makers to change their valuations. But there is another powerful effect, which is a direct consequence of

Options Trading as Games Playing.

That is RISK.

Strong effect on tail valuation.

Page 24: Mike LipkinQuantCongress Europe/NewYork November 2005/Stern February 2006 1 Options Trading as a Game

QuantCongress Europe/NewYork November 2005/Stern February 2006

24Mike Lipkin

Scenario

Consider a trader with the following risk profile:

Stock ZYX at 65.75

Up 25% he loses $900,000

Down 25% he makes $80,000

(volatilities unchanged for this simple example)

-900K = visit to unemployment, sale of apartment, etc…

Page 25: Mike LipkinQuantCongress Europe/NewYork November 2005/Stern February 2006 1 Options Trading as a Game

QuantCongress Europe/NewYork November 2005/Stern February 2006

25Mike Lipkin

Risk Scenario, cont…

ZYX Oct 80 C 0.90 1.05 (200x200)

Naïve valuation is $0.98.

Trader: ZYX Oct 80 calls, 1 bid for 500.

Others in Crowd: sell 30, sell 25….

Trader: I bought 90, 1.05 bid for the balance.

In practice, the trader may be buying on several markets electronically.

Page 26: Mike LipkinQuantCongress Europe/NewYork November 2005/Stern February 2006 1 Options Trading as a Game

QuantCongress Europe/NewYork November 2005/Stern February 2006

26Mike Lipkin

Risk, cont…

Many factors contribute to the net safety of a trader’s position:

a) Net calls

b) Net puts

c) Vega

d) Dividend/interest rate

e) Decay

Page 27: Mike LipkinQuantCongress Europe/NewYork November 2005/Stern February 2006 1 Options Trading as a Game

QuantCongress Europe/NewYork November 2005/Stern February 2006

27Mike Lipkin

Risk, cont…

These concerns can be rewritten in more suggestive terms.Some risk factors are:

a) too short premium (blow out risk for big moves)b) too long premium (decay risk for small movements and contraction risk for steady up moves)c) volatility risk (especially long term contracts)d) interest ratese) take-over riskf) hard-to-borrow (buy-in risk)

Page 28: Mike LipkinQuantCongress Europe/NewYork November 2005/Stern February 2006 1 Options Trading as a Game

QuantCongress Europe/NewYork November 2005/Stern February 2006

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Takeovers

(An abbreviated option board:)

Oct 30C 6.5 Dec 30C 8.5 Apr 30C 11.25

Oct 40C 2.5 Dec 40C 3.75 Apr 40C 5.85

Oct 50C 1.25 Dec 50C 2.75 Apr 50C 4.80

XYZ is trading 30 at the end of September. The 50 strike is the highest strike available.

All of a sudden, the order flow in the Apr 50 calls becomes brisk and one-way.

Can you guess which way?

Page 29: Mike LipkinQuantCongress Europe/NewYork November 2005/Stern February 2006 1 Options Trading as a Game

QuantCongress Europe/NewYork November 2005/Stern February 2006

29Mike Lipkin

Takeovers, cont…

Brokers (or electronically): Sell 200; Sell 300; Sell 500…

No one consults a theory. The implied volatility on all the 50 lines gets crushed; the volatility in the late months gets reduced.

At the same time orders come in for strange spreads:

Broker: Give me a market in the Oct 30-40 1-by-2.

The screen value is $1.50. What market does he get?

Page 30: Mike LipkinQuantCongress Europe/NewYork November 2005/Stern February 2006 1 Options Trading as a Game

QuantCongress Europe/NewYork November 2005/Stern February 2006

30Mike Lipkin

Takeovers, cont…

Specialist: .80-1.25 500-up.

What would you rather do? Buy or sell the 1x2?

What if XYZ is acquired for $53 in cash? The premium on the options will all fall to near $0! The Apr 50 calls will be worth $3, less than they are now!

The 1x2. The 30 calls make $23, the 40 calls make $13. 23-2(13)= -3. Anyone buying the 1x2 loses $3 on the spread PLUS what he paid for it.

We don’t have to prove to the SEC that people know a deal is imminent. The order flow has told us.

Page 31: Mike LipkinQuantCongress Europe/NewYork November 2005/Stern February 2006 1 Options Trading as a Game

QuantCongress Europe/NewYork November 2005/Stern February 2006

31Mike Lipkin

EDS after takeover rumors began 4 March, 2004

Mar 20 53 vol; Mar 22.5 58 vol; Sep 30 32 vol.

Page 32: Mike LipkinQuantCongress Europe/NewYork November 2005/Stern February 2006 1 Options Trading as a Game

QuantCongress Europe/NewYork November 2005/Stern February 2006

32Mike Lipkin

Conclusion and Summary

• Option prices on the floor are determined by supply and demand first, theory second.

• The perception and reality of risk changes the values paid for options independent of order flow.

• Hysteresis is real in option prices. Implied volatilities depend greatly on the recent stock path.

• Game theory and/or the physics of driven dynamical systems may provide a better approach to market analysis.

• Possible BIG IDEA: takeovers instead of defaults.

Page 33: Mike LipkinQuantCongress Europe/NewYork November 2005/Stern February 2006 1 Options Trading as a Game

QuantCongress Europe/NewYork November 2005/Stern February 2006

33Mike Lipkin

The Real World• Goldman Sachs paid US $7B for Spear Leads and

Kellogg (2001).• SLK option market-making accounted for ca. 15%

of their profits (nearly half on AMEX).• GS tried to automate (read: apply

thermodynamics) to options specialist book.• GS sells AMEX book back to original SLK

partners for US $11M (2004).Conclusion: Profits come from Arbitrage not

Equilibrium.