词条 | Time consistency (finance) |
释义 |
Time consistency in the context of finance is the property of not having mutually contradictory evaluations of risk at different points in time. This property implies that if investment A is considered riskier than B at some future time, then A will also be considered riskier than B at every prior time. Time consistency and financial riskTime consistency is a property in financial risk related to dynamic risk measures. The purpose of the time the consistent property is to categorize the risk measures which satisfy the condition that if portfolio (A) is riskier than portfolio (B) at some time in the future, then it is guaranteed to be riskier at any time prior to that point. This is an important property since if it were not to hold then there is an event (with probability of occurring greater than 0) such that B is riskier than A at time although it is certain that A is riskier than B at time . As the name suggests a time inconsistent risk measure can lead to inconsistent behavior in financial risk management. {{Technical|date=February 2018}}Mathematical definitionA dynamic risk measure on is time consistent if and implies .[1] Equivalent definitions
For all
For all
For all where is the time acceptance set and [2]
For all where is the minimal penalty function (where is an acceptance set and denotes the essential supremum) at time and .[3] ConstructionDue to the recursive property it is simple to construct a time consistent risk measure. This is done by composing one-period measures over time. This would mean that:
ExamplesValue at risk and average value at riskBoth dynamic value at risk and dynamic average value at risk are not a time consistent risk measures. Time consistent alternativeThe time consistent alternative to the dynamic average value at risk with parameter at time t is defined by such that .[4] Dynamic superhedging priceThe dynamic superhedging price is a time consistent risk measure.[5] Dynamic entropic riskThe dynamic entropic risk measure is a time consistent risk measure if the risk aversion parameter is constant.[5] Continuous timeIn continuous time, a time consistent coherent risk measure can be given by: for a sublinear choice of function where denotes a g-expectation. If the function is convex, then the corresponding risk measure is convex.[6] References1. ^1 {{cite journal|last=Cheridito|first=Patrick|last2=Stadje|first2=Mitja|date=October 2008|title=Time-inconsistency of VaR and time-consistent alternatives|url=http://www.princeton.edu/~dito/papers/timeincVaR_Oct08.pdf|accessdate=November 29, 2010|format=pdf}} 2. ^{{cite journal|last=Acciaio|first=Beatrice|last2=Penner|first2=Irina|date=February 22, 2010|title=Dynamic risk measures|url=http://wws.mathematik.hu-berlin.de/~penner/Acciaio_Penner.pdf|accessdate=July 22, 2010|format=pdf|deadurl=yes|archiveurl=https://web.archive.org/web/20110902182345/http://wws.mathematik.hu-berlin.de/~penner/Acciaio_Penner.pdf|archivedate=September 2, 2011|df=}} 3. ^{{cite journal|last=Föllmer|first=Hans|last2=Penner|first2=Irina|title=Convex risk measures and the dynamics of their penalty functions|journal=Statistics and decisions|volume=24|issue=1|year=2006|pages=61–96|url=http://www.math.hu-berlin.de/~penner/Foellmer_Penner.pdf|format=pdf|accessdate=June 17, 2012}}{{Dead link|date=July 2018 |bot=InternetArchiveBot |fix-attempted=no }} 4. ^{{cite journal|first1=Patrick|last1=Cheridito|first2=Michael|last2=Kupper|title=Composition of time-consistent dynamic monetary risk measures in discrete time|journal=International Journal of Theoretical and Applied Finance|date=May 2010|url=http://wws.mathematik.hu-berlin.de/~kupper/papers/comp2010.pdf|format=pdf|accessdate=February 4, 2011|deadurl=yes|archiveurl=https://web.archive.org/web/20110719042954/http://wws.mathematik.hu-berlin.de/~kupper/papers/comp2010.pdf|archivedate=July 19, 2011|df=}} 5. ^1 {{cite journal|last=Penner|first=Irina|year=2007|title=Dynamic convex risk measures: time consistency, prudence, and sustainability|url=http://wws.mathematik.hu-berlin.de/~penner/penner.pdf|format=pdf|accessdate=February 3, 2011|deadurl=yes|archiveurl=https://web.archive.org/web/20110719042923/http://wws.mathematik.hu-berlin.de/~penner/penner.pdf|archivedate=July 19, 2011|df=}} 6. ^{{Cite journal | last1 = Rosazza Gianin | first1 = E. | doi = 10.1016/j.insmatheco.2006.01.002 | title = Risk measures via g-expectations | journal = Insurance: Mathematics and Economics | volume = 39 | pages = 19–65 | year = 2006 | pmid = | pmc = }} 1 : Financial risk modeling |
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