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Browsing by Author "Osipenko, Maria"
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2017-10-20ZeitschriftenartikelA Dynamic Programming Approach for Pricing Weather Derivatives under Issuer Default Risk Härdle, Wolfgang Karl; Osipenko, MariaWeather derivatives are contingent claims with payoff based on a pre-specified weather index. Firms exposed to weather risk can transfer it to financial markets via weather derivatives. We develop a utility-based model for ...
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2011-03-03DiskussionspapierDifference based Ridge and Liu type Estimators in Semiparametric Regression Models Duran, Esra Akdeniz; Härdle, Wolfgang Karl; Osipenko, MariaWe consider a difference based ridge regression estimator and a Liu type estimator of the regression parameters in the partial linear semiparametric regression model, y = Xβ + f + ε. Both estimators are analysed and compared ...
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2017-02-06DiskussionspapierDynamic Valuation of Weather Derivatives under Default Risk Härdle, Wolfgang Karl; Osipenko, MariaWeather derivatives are contingent claims with payoff based on a pre-specified weather index. Firms exposed to weather risk can transfer it to financial markets via weather derivatives. We develop a utility-based model for ...
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2014-04-15DiskussionspapierIs there a demand formulti-year cropinsurance? Osipenko, Maria; Shen, Zhiwei; Odening, MartinIn this paper we adapt a dynamic discrete choice model to examine the aggregated demand for single- and multi-year crop insurance contracts. We show that in a competitive insurance market with heterogeneous risk averse ...
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2011-08-21DiskussionspapierPricing Chinese rain Härdle, Wolfgang Karl; Osipenko, MariaMany industries are exposed to weather risk which they can transfer on financial markets via weather derivatives. Equilibrium models based on partial market clearing became a useful tool for pricing such kind of financial ...
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2016-10-19DiskussionspapierPrincipal Component Analysis in an Asymmetric Norm Tran, Ngoc M.; Burdejová, Petra; Osipenko, Maria; Härdle, Wolfgang KarlPrincipal component analysis (PCA) is a widely used dimension reduction tool in the analysis of high-dimensional data. However, in many applications such as risk quantification in finance or climatology, one is interested ...
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2014-01-02DiskussionspapierPrincipal Component Analysis in an Asymmetric Norm Tran, Ngoc Mai; Osipenko, Maria; Härdle, Wolfgang KarlPrincipal component analysis (PCA) is a widely used dimension reduction tool in the analysis of many kind of high-dimensional data. It is used in signal processing, mechanical ingeneering, psychometrics, and other fields ...
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2011-03-03DiskussionspapierSpatial Risk Premium on Weather Derivatives and Hedging Weather Exposure in Electricity Härdle, Wolfgang Karl; Osipenko, MariaDue to dependency of energy demand on temperature, weather derivatives enable the effective hedging of temperature related fluctuations. However, temperature varies in space and time and therefore the contingent weather ...