Publication

Closed-form solutions to stochastic switching problems

Erwan Morellec
2008
Journal Articles

Abstract

This paper studies the price of an asset depending on both a fundamental and possible interventions of an authority. Using the martingale approach in continuous time, we provide closed-form solutions to switching problems involving irreversible, state dependent and intramarginal switch policies. The martingale approach provides additional information regarding the switching policy, namely the average time before authority intervention, the conditional probability of intervention, or the total time of intervention. Applications in international and financial economics include exchange rates modelling, corporate claims valuation and capital budgeting decisions.

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https://infoscience.epfl.ch/entities/publication/6dc5a06b-0af6-4d74-815b-863490222749

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Erwan Morellec
2008
Journal Articles

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/6dc5a06b-0af6-4d74-815b-863490222749

About this result

Related concepts (17)

Conditional probability

In probability theory, conditional probability is a measure of the probability of an event occurring, given that another event (by assumption, presumption, assertion or evidence) has already occurred. This particular method relies on event B occurring with some sort of relationship with another event A. In this event, the event B can be analyzed by a conditional probability with respect to A. If the event of interest is A and the event B is known or assumed to have occurred, "the conditional probability of A given B", or "the probability of A under the condition B", is usually written as P(AB) or occasionally P_B(A).

Conditional probability distribution

In probability theory and statistics, given two jointly distributed random variables and , the conditional probability distribution of given is the probability distribution of when is known to be a particular value; in some cases the conditional probabilities may be expressed as functions containing the unspecified value of as a parameter. When both and are categorical variables, a conditional probability table is typically used to represent the conditional probability.

Conditional probability table

In statistics, the conditional probability table (CPT) is defined for a set of discrete and mutually dependent random variables to display conditional probabilities of a single variable with respect to the others (i.e., the probability of each possible value of one variable if we know the values taken on by the other variables). For example, assume there are three random variables where each has states.

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