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EXPLOSIONS AND ARBITRAGE IOANNIS KARATZAS PDF

59 Pages·2015·0.37 MB·English
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EXPLOSIONS AND ARBITRAGE IOANNIS KARATZAS Department of Mathematics, Columbia University, New York INTECH Investment Management LLC, Princeton Joint work with Daniel FERNHOLZ and Johannes RUF Talk at the Steven-Shreve-Fest, CMU Pittsburgh, June 2015 For Information Purposes Only PART ONE: A CLASSICAL SETTING DISTRIBUTION OF THE TIME-TO-EXPLOSION FOR LINEAR DIFFUSIONS I.1: STOCHASTIC DIFFERENTIAL EQUATION dX(t) = s(X(t)) dW(t) + b(X(t))dt , X(0) = ⇠ 2I h i The state-space is an open subinterval = (`, r) R I ✓ of the real line. Here W( ) is standard Brownian motion, · and b : , s : 0 are measurable functions. R R I! I! \ { } 2 Standing Assumption: The function 1/s ( ) and the local · mean/over/variance (or “signal-to-noise ratio”) function b( ) b( ) s( ) f( ) := · = · · · s( ) s2( ) · · are locally integrable over . I . Under these conditions, there exists a weak solution of the above SDE, defined up until the so-called “explosion time” := lim , = inf t 0 : X(t) / (` , r ) n n n n S n "S S { � 2 } !1 for ` ` , r r . This solution is unique in distribution. n n ## "" (ENGELBERT & SCHMIDT 1984, 1991.) We know that ( = ) = 1 holds under the familiar P S 1 ˆ linear growth conditions of the ITO theory, when = . R I More generally, fixing a reference point c and introducing 2I the “FELLER function” x y y dz v(x) := exp 2 f(u)du dy , x , c c � z s2(z) 2I Z Z ✓ Z ◆ we have: ( = ) = 1 if and only if P S 1 v(`+) = v(r ) = . � 1 This is the classical FELLER test for explosions. QUESTION (posed to us by Marc YOR): . If this condition fails and ( < ) > 0 , P S 1 what can we say about the distribution function ( T), 0 < T < of the explosion time? P S 1 I.2: A GENERALIZED GIRSANOV / McKEAN IDENTITY Let us consider the di↵usion in natural scale o o o dX (t) = s(X (t)) dW (t) , X(0) = ⇠ 2I o o with explosion time ; clearly, ( = ) = 1 if = . Q R S S 1 I o Here W ( ) is Brownian motion under another probability · measure (possibly on a di↵erent probability space). Q Suppose that the mean/variance function f( ) is locally square- · integrable on , and define the exponential local martingale Q I � 1 L( ; Xo) := exp · b(Xo(t)) dWo(t) · b2(Xo(t)) dt · 0 � 2 0 ⇢Z Z � 1 = exp · f(Xo(t)) dXo(t) · b2(Xo(t)) dt on [0, o). 0 � 2 0 S ⇢Z Z � Then for T (0, ) and bounded, measurable h :⌦ , R T T 2 1 B � ! P h (X) 1 = Q L(T; Xo) h (Xo) 1 . E T >T E T o>T · · {S } {S } h i h i A couple of early lessons from this identity. Suppose X( ) is · non-explosive: ( = ) = 1 . P S 1 Then P h (X) = Q L(T; Xo) h (Xo) 1 . E T E T o>T · {S } h i h i o In particular, the exponential process L( ; X ) 1 is then a o> · {S ·} true martingale; and for every T (0, ) we have Q � 2 1 1 P = o > T E Q L(T; X) S ! ⇣ ⌘ d P o “ = L(T; X ) 1 . ” o>T d · Q � {S } (T) � �F � � . Please also note that, always under ( = ) = 1 , the expo- P S 1 nential process 1 1 2 = exp · f(X(t)) dX(t) + · b (X(t)) dt L( ; X) � 0 2 0 ⇢ Z Z � · 1 2 = exp · b(X(t)) dW(t) · b (X(t)) dt � 0 � 2 0 ⇢ Z Z � is a strictly positive local martingale (and supermartingale). P � . It is a true martingale, if and only if we have, in addition, P � o ( = ) = 1 . Q S 1 . When f( ) is actually continuous and continuously di↵eren- · tiable on , the above expression gives I o X (T) T ( > T) = Q exp f(z) dz V (Xo(t))dt 1 P⇠ E o>T S � · " ⇠ 0 {S }# ✓ Z Z ◆ where 1 2 2 V (x) := s (x) f (x) + f (x) . 0 2 ⇣ ⌘ . And in a totally “symmetrical” fashion: X(T) T ( o > T) = P exp f(z) dz + V (X(t))dt 1 . Q E ⇠ >T S � · " ⇠ 0 {S }# ✓ Z Z ◆ I.3: RESULTS: We have the following, general results. PROPOSITION 1: Positivity, Full Support. The function [0, ) (T,⇠) U(T,⇠) := ( > T) (0, 1] P ⇠ 1 ⇥I 3 7�! S 2 is (strictly positive and) continuous; as well as strictly decreasing in T ( ), when ( < ) > 0 . P ⇠ ⇤ ⇤ ⇤ S 1 (***) Last result – strict decrease – needs the 2 local square-integrability of 1/s ( ) on · I (with the possible exception of finitely many points). This assumption guarantees that “the di↵usion can reach far away points fast, with positive probability”. . It has been removed very recently, in work of Cameron BRUGGEMAN and Johannes RUF.

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EXPLOSIONS AND ARBITRAGE IOANNIS KARATZAS Talk at the Steven-Shreve-Fest, CMU Pittsburgh, This solution is unique in distribution.
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