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Multivariate Models
KTH, School of Engineering Sciences (SCI), Mathematics (Dept.), Mathematical Statistics.ORCID iD: 0000-0001-9210-121X
KTH, School of Engineering Sciences (SCI), Mathematics (Dept.).ORCID iD: 0000-0002-0775-9680
2012 (English)In: Risk and Portfolio Analysis, Springer Nature , 2012, p. 273-330Chapter in book (Refereed)
Abstract [en]

In this chapter, we consider multivariate models for the joint distribution of several risk factors such as returns or log returns for different assets, zero rate changes for different maturity times, changes in implied volatility, and losses due to defaults on risky loans. Our aim is to specify a good model for the future value g(X) of a portfolio, where the function g is known and its argument X is a random vector of, for instance, log returns and zero rate changes over a given future time period. Since the function g is known, what remains is to make a good choice of probability distribution for random vector X. 

Place, publisher, year, edition, pages
Springer Nature , 2012. p. 273-330
Series
Springer Series in Operations Research and Financial Engineering book series (ORFE)
Keywords [en]
Call Option, Implied Volatility, Multivariate Normal Distribution, Random Vector, Risk Measure
National Category
Economics and Business
Identifiers
URN: urn:nbn:se:kth:diva-292732DOI: 10.1007/978-1-4614-4103-8_9Scopus ID: 2-s2.0-85098113689OAI: oai:DiVA.org:kth-292732DiVA, id: diva2:1543816
Note

QC 20210413

Available from: 2021-04-13 Created: 2021-04-13 Last updated: 2022-12-12Bibliographically approved

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Hult, HenrikLindskog, Filip

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