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DTSTART:19960101T000000 END:STANDARD BEGIN:STANDARD TZNAME:GMT TZOFFSETFROM:+0100 TZOFFSETTO:+0000 DTSTART:19961027T020000 RRULE:FREQ=YEARLY;BYMONTH=10;BYDAY=-1SU END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20260625T070626Z DTSTART;VALUE=DATE-TIME:20110209T130000 DTEND;VALUE=DATE-TIME:20110209T140000 SUMMARY:Complexity Forum: Ole Peters (Imperial) TZID:Europe/London UID:20110209-094d43d5385c299a01386c3bd8c571ec@warwick.ac.uk CREATED:20110107T150805Z DESCRIPTION:Speaker: Ole Peters (Department of Mathematics Imperial Colle ge London) Title: From ergodicity to stochastic market efficiency Abstra ct: Stochastic systems are ergodic if the frequencies at which states ar e visited approach a unique probability distribution in the long-time li mit. Here\, time averages of fluctuating quantities can be computed as e nsemble averages where states are weighted according to the unique proba bility distribution. If the probability distribution is not unique\, tim e averages will depend on initial conditions\; if the probability distri bution does not exist\, for instance in non-stationary processes\, it cl early cannot be used to weight ensemble members. In this case\, if ensem ble averages can be defined at all\, they need not be identical to time averages. This is the case in geometric Brownian motion (GBM)\, a non-st ationary model commonly used in financial economics. In GBM the time ave rage of the growth rate differs from the ensemble average. Using ensembl e averages\, which are agnostic to fluctuations\, it is impossible to op timize risk-taking. Using time averages\, risk-taking can be optimized i n a meaningful objective way. Thus we can compute the optimal leverage f or an investment in an asset with given stochastic properties. This lead s to the concept of stochastic market efficiency: A stochastically effic ient market cannot be beaten by leveraging or deleveraging\, which place s strong constraints on the stochastic properties of markets. The predic tions of this theory are strongly confirmed by empirical studies. In con trast to the ordinary "price efficiency" of markets\, stochastic efficie ncy is a fully accountable theory\, in the sense of the word introduced by Popper: The theory predicts its own imprecision and is thus meaningfu lly testable. LOCATION:D1.07 CATEGORIES:MSc students,PhD Students,Seminar Room D1.07,forum LAST-MODIFIED:20120709T145409Z ORGANIZER;CN=Colm Connaughton: END:VEVENT END:VCALENDAR