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  • HU Berlin  (337)
  • Abraham Geiger Kolleg
  • Kreisbibliothek Havelland Rathenow
  • Haus Wannsee-Konferenz
  • Härdle, Wolfgang Karl  (337)
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  • 1
    UID:
    edochu_18452_22245
    Format: 1 Online-Ressource (57 Seiten)
    Content: Simulierte Hedge Missspezifikation zu Risikomanagementzwecken von Cryptocurrencies.
    Content: The market for cryptocurrencies is a very dynamic market with highly volatile movements and discontinuities from large jumps. We investigate the risk-management perspective when selling securities written on cryptocurrencies. To this day, options written on cryptocurrencies are not officially exchange-traded. This study mimics the dynamics of cryptocurrency markets in a simulation study. We assume that the asset follows the stochastic volatility with correlated jumps model as presented in Duffie et al. ( 2000 ) and price options with parameters calibrated on the CRIX, a cryptocurrency index that serves as a representative of market movements. We investigate on risk- management opportunities of hedging options written on cryptocurrencies and evaluate the hedge performance under model misspecification. The hedge models are misspecified in the manner that they include fewer sources of randomness than the nother the ment the ment the industry-standard Black-Scholes option pricing model, the Heston Stochastic volatility model, and the Merton jump-diffusion model. We present different hedging strategies and perform an empirical study on delta-hedging. We report poor hedging results when calibration is poor. The results show good performances of the Black-Scholes and the Heston model and outline the poor hedging performance of the Merton model. Lastly, we observe large unhedgeable losses in the left tail. These losses potentially result from large jumps.
    Note: Masterarbeit Humboldt-Universität zu Berlin 2019
    Language: English
    URL: Volltext  (kostenfrei)
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  • 2
    UID:
    edochu_18452_29339
    Format: 1 Online-Ressource (31 Seiten)
    Content: The presence of nonignorable missing response variables often leads to complex conditional distribution patterns that cannot be effectively captured through mean regression. In contrast, quantile regression offers valuable insights into the conditional distribution. Consequently, this article places emphasis on the quantile regression approach to address nonrandom missing data. Taking inspiration from fractional imputation, this paper proposes a novel smoothed quantile regression estimation equation based on a sampling importance resampling (SIR) algorithm instead of nonparametric kernel regression methods. Additionally, we present an augmented inverse probability weighting (AIPW) smoothed quantile regression estimation equation to reduce the influence of potential misspecification in a working model. The consistency and asymptotic normality of the empirical likelihood estimators corresponding to the above estimating equations are proven under the assumption of a correctly specified parameter working model. Furthermore, we demonstrate that the AIPW estimation equation converges to an IPW estimation equation when a parameter working model is misspecified, thus illustrating the robustness of the AIPW estimation approach. Through numerical simulations, we examine the finite sample properties of the proposed method when the working models are both correctly specified and misspecified. Furthermore, we apply the proposed method to analyze HIV—CD4 data, thereby exploring variations in treatment effects and the influence of other covariates across different quantiles.
    Content: Peer Reviewed
    In: Basel : MDPI, 11,24
    Language: English
    URL: Volltext  (kostenfrei)
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  • 3
    UID:
    edochu_18452_14679
    Format: 1 Online-Ressource (63 Seiten)
    Content: In this thesis we propose a risk management methodology to high-dimensional financial portfolios. Instead of estimating the joint density of the portfolios in a high-dimensional space, we are encouraged by using the independent component analysis (ICA) to decompose the dependent risk factors to a linear transformation of independent components (ICs). The marginal density and the volatility process of each IC are estimated in a univariate dimension. Thereafter the joint densities and the dependence structures of the ICs and the original risk factors can be calculated using the statistical property of the independence and its linear transformation. We assume the marginal densities of ICs belong to the generalized hyperbolic (GH) distribution family since this family possesses semi-heavy tails and mimics the empirical distributions of the ICs appropriately. Further we implement a nonparametric adaptive methodology to estimate the local volatilities of ICs based on a homogeneity test. In order to check the reliability of the proposed methodology, we consider a portfolio in our study: a 2-dimensional exchange rates DEM/USD and GBP/USD with 4 different trading strategies. The empirical studies show that the performance of the VaR forecast using the proposed methodology is better than the popular Delta-Gamma-Normal model. All calculations and simulations are able to be recalculated with the software XploRe.
    Note: Masterarbeit Humboldt-Universität zu Berlin, Wirtschaftswissenschaftliche Fakultät 2005
    Language: English
    URL: Volltext  (kostenfrei)
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  • 4
    UID:
    edochu_18452_14686
    Format: 1 Online-Ressource (66 Seiten)
    Note: Masterarbeit Humboldt-Universität zu Berlin, Wirtschaftswissenschaftliche Fakultät 2003
    Language: German
    URL: Volltext  (kostenfrei)
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  • 5
    UID:
    edochu_18452_14705
    Format: 1 Online-Ressource (80 Seiten)
    Note: Masterarbeit Humboldt-Universität zu Berlin, Wirtschaftswissenschaftliche Fakultät 2004
    Language: English
    URL: Volltext  (kostenfrei)
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  • 6
    UID:
    edochu_18452_14710
    Format: 1 Online-Ressource (90 Seiten)
    Note: Diplomarbeit Humboldt-Universität zu Berlin, Wirtschaftswissenschaftliche Fakultät 2003
    Language: German
    URL: Volltext  (kostenfrei)
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  • 7
    UID:
    edochu_18452_14707
    Format: 1 Online-Ressource (98 Seiten)
    Content: An important empirical fact in financial market is that return distributions are often skewed and heavy-tailed. This paper employs maximum likelihood estimation to estimate the five parameters of generalized hyperbolic distribution, a highly flexible heavy-tailed distribution. The estimation utilizes Powell’s methods in multidimensions and the performance of estimation is measured by simulation studies. Application to the financial market provides us with estimates of return distribution of some financial assets.
    Note: Masterarbeit Humboldt-Universität zu Berlin, Wirtschaftswissenschaftliche Fakultät 2005
    Language: English
    URL: Volltext  (kostenfrei)
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  • 8
    UID:
    edochu_18452_14691
    Format: 1 Online-Ressource (81 Seiten)
    Content: This thesis starts with a review of the traditional portfolio theory and a discussion of its limitations. The new technique portfolio resampling is introduced, followed by two different portfolio efficiency testing methods. The final part is an empirical study of portfolio revision. A short conclusion is made at the end.
    Note: Masterarbeit Humboldt-Universität zu Berlin, Wirtschaftswissenschaftliche Fakultät 2003
    Language: English
    URL: Volltext  (kostenfrei)
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  • 9
    Online Resource
    Online Resource
    Berlin
    UID:
    edochu_18452_14704
    Format: 1 Online-Ressource (139 Seiten)
    Content: The feature of several underlying assets requires traders to incorporate the correlation matrix of underlying assets in multi-asset equity options pricing. In this thesis, Monte Carlo simulation methods are used in order to quantify the precision of multi-asset equity options pricing. The developed quantlets in XploRe are specific to three standard types of multi-asset equity options. Due to the lack of a liquid market for implied correlations, this thesis then aims to understand the correlation risk and risk hedging. I demonstrate the correlation risk by an application to three-asset equity options of the three standard types. Correlation vegas, defined as the first derivative of the option price to its underlying asset correlation matrix, are calculated numerically using the finite diffusion approximation technique and presented in temperature plots.
    Note: Masterarbeit Humboldt-Universität zu Berlin, Wirtschaftswissenschaftliche Fakultät 2003
    Language: English
    URL: Volltext  (kostenfrei)
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  • 10
    UID:
    edochu_18452_19410
    Format: 1 Online-Ressource (14 Seiten)
    Content: Analysis of monthly disaggregated data from 1978 to 2016 on US household in ation expectations reveals that exposure to news on in ation and monetary policy helps to explain in ation expectations. This remains true when controlling for household personal characteristics, their perceptions of the effectiveness of government policies, their expectations of future interest rates and unemployment, and their sentiment levels. We find evidence of an asymmetric impact of news on in ation expectations particularly after 1983, with news on rising in ation and easier monetary policy having a stronger effect in comparison to news on lowering in ation and tightening monetary policy.
    Language: English
    URL: Volltext  (kostenfrei)
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