Securities & Expressive Securities Markets

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Presentation transcript:

Securities & Expressive Securities Markets Vincent Conitzer conitzer@cs.duke.edu

Call options A (European) call option C(S, k, t) gives you the right to buy stock S at (strike) price k on (expiry) date t American call option can be exercised early European one easier to analyze How much is a call option worth at time t (as a function of the price of the stock)? value pt(C) k pt(S)

Put options A (European) put option P(S, k, t) gives you the right to sell stock S at (strike) price k on (expiry) date t How much is a put option worth at time t (as a function of the price of the stock)? value pt(P) k pt(S)

Bonds A bond B(k, t) pays off k at time t value pt(B) k pt(S)

Stocks value pt(S) k pt(S)

Selling a stock (short) value k pt(S) -pt(S)

A portfolio One call option C(S, k, t) + one bond B(k, t) value k k pt(S)

Another portfolio same thing! One put option P(S, k, t) + one stock S value same thing! k k pt(S)

Put-call parity C(S, k, t) + B(k, t) will have the same value at time t as P(S, k, t) + S (regardless of the value of S) Assume stocks pay no dividends Then, portfolio should have the same value at any time before t as well I.e., for any t’ < t, it should be that pt’(C(S, k, t)) + pt’(B(k, t)) = pt’(P(S, k, t)) + pt’(S) Arbitrage argument: suppose (say) pt’(C(S, k, t)) + pt’(B(k, t)) < pt’(P(S, k, t)) + pt’(S) Then: buy C(S, k, t) + B(k, t), sell (short) P(S, k, t) + S Value of portfolio at time t is 0 Guaranteed profit!

Another perspective: auctioneer Auctioneer receives buy and sell offers, has to choose which to accept E.g.: offers received: buy(S, $10); sell(S, $9) Auctioneer can accept both offers, profit of $1 E.g. (put-call parity): sell(C(S, k, t), $3) sell(B(k, t), $4) buy(P(S, k, t), $5) buy(S, $4) Can accept all offers at no risk!

“Butterfly” portfolio 1 call at strike price k-c -2 calls at strike k 1 call at strike k+c value c k-c k k+c pt(S)

Another portfolio Can we create this portfolio? value pt(S)

Yet another portfolio How about this one? value pt(S)

Two different stocks A portfolio with C(S1, k, t) and S2 pt(S2) b b a isovalue curves a k k+a k+b pt(S1)

Another portfolio Can we create this portfolio? (In effect, a call option on S1+S2) pt(S2) k+b k+a b k a k k+a k+b pt(S1)

A useful property Suppose your portfolio pays off f(pt(S1), pt(S2)) = f1(pt(S1)) + f2(pt(S2)) (additive decomposition over stocks) This is all we know how to do Then: f(x1, x2) - f(x1, x2’) = f(x1) + f(x2) - f(x1) - f(x2’) = f(x2) - f(x2’) = f(x1’, x2) - f(x1’, x2’)

Portfolio revisited Can we create this portfolio? (In effect, a call option on S1+S2) pt(S2) k+b k+a f(x1, x2) - f(x1, x2’) ≠ f(x1’, x2) - f(x1’, x2’) Impossible to create this portfolio with securities that only refer to a single stock! b k a x2 x2’ x1’ x1 k k+a k+b pt(S1)

Securities conditioned on finite set of outcomes E.g., InTrade: security that pays off 1 if Trump is the Republican nominee in 2016 Can we construct a portfolio that pays off 1 if Clinton is the Democratic nominee AND Trump is the Republican nominee? Trump not nom. Trump nom. Clinton not nom. $0 Clinton nom. $1

Arrow-Debreu securities Suppose S is the set of all states that the world can be in tomorrow For each s in S, there is a corresponding Arrow-Debreu security that pays off 1 if s happens, 0 otherwise E.g., s could be: Clinton is nominee and Trump is nominee and S1 is at $4 and S2 at $5 and butterfly 432123 flaps its wings in Peru and… Not practical, but conceptually useful Can think about Arrow-Debreu securities within a domain (e.g., states only involve stock trading prices) Practical for small number of states

With Arrow-Debreu securities you can do anything… Suppose you want to receive $6 in state 1, $8 in state 2, $25 in state 3 … simply buy 6 AD securities for state 1, 8 for state 2, 25 for state 3 Linear algebra: Arrow-Debreu securities are a basis for the space of all possible securities

The auctioneer problem Tomorrow there must be one of Agent 1 offers $5 for a security that pays off $10 if or Agent 2 offers $8 for a security that pays off $10 if or Agent 3 offers $6 for a security that pays off $10 if Can we accept some of these at offers at no risk?

Reducing auctioneer problem to ~combinatorial exchange winner determination problem Let (x, y, z) denote payout under , , , respectively Previous problem’s bids: 5 for (0, 10, 10) 8 for (10, 0, 10) 6 for (10, 0, 0) Equivalently: (-5, 5, 5) (2, -8, 2) (4, -6, -6) Sum of accepted bids should be (≤0, ≤0, ≤0) to have no risk Sometimes possible to partially accept bids

A bigger instance (4 states) Objective: maximize our worst-case profit 3 for (0, 0, 11, 0) 4 for (0, 2, 0, 8) 5 for (9, 9, 0, 0) 3 for (6, 0, 0, 6) 1 for (0, 0, 0, 10) What if they are partially acceptable?

Settings with large state spaces Large = exponentially large Too many to write down Examples: S = S1 x S2 x … Sn E.g., S1 = {Clinton not nom., Clinton nom.}, S2 = {Trump not nom., Trump nom.}, S = {(-C, -T), (-C, +T), (+C, -T), (+C, +T)} If all Si have the same size k, there are kn different states S is the set of all rankings of n candidates E.g., outcomes of a horse race n! different states (assuming no ties)

Bidding languages How should trader (bidder) express preferences? Logical bidding languages [Fortnow et al. 2004]: (1) “If Trump nominated OR (Cruz nominated AND Clinton nominated), I want to receive $10; I’m willing to pay $6 for this.” If the state is a ranking [Chen et al. 2007] : (2a) “If horse A ranks 2nd, 3rd, or 4th I want to receive $10; I’m willing to pay $6 for this.” (2b) “If one of horses A, C, D rank 2nd, I want to receive $10; I’m willing to pay $6 for this.” (2c) “If horse A ranks ahead of horse C, I want to receive $10; I’m willing to pay $6 for this.” Winner determination problem is NP-hard for all of these, except for (2a) and (2b) which are in P if bids can be partially accepted

A different computational problem closely related to (separation problem for) winner determination Given that the auctioneer has accepted some bids, what is the worst-case outcome (state) for the auctioneer? For example: Must pay 2 to trader A if horse X or Z is first Must pay 3 to trader B if horse Y is first or second Must pay 6 to trader C if horse Z is second or third Must pay 5 to trader D if horse X or Y is third Must pay 1 to trader E if horse X or Z is second

Reduction to weighted bipartite matching 1 Must pay 2 to trader A if horse X or Z is first Must pay 3 to trader B if horse Y is first or second Must pay 6 to trader C if horse Z is second or third Must pay 5 to trader D if horse X or Y is third Must pay 1 to trader E if horse X or Z is second X 2 1 5 2 3 Y 3 5 2 3 7 6 Z 6