This paper focuses on volatility of financial markets, which is one of the most important issues in finance, especially with regards to modelling high-frequency data. Risk management, asset pricing and option valuation techniques are the areas where the concept of volatility estimators (consistent, unbiased and the most efficient) is of crucial concern. Our intention was to find the best estimator of true volatility taking into account the latest investigations in finance literature. Basing on the methodology presented in previous papers on volatility estimators, we computed the various model-free volatility estimators and compared them with classical volatility estimator. In order to reveal the information set hidden in high-frequency data, we utilized the concept of realized volatility and realized range. Calculating our estimator, we carefully focused on Δ (the interval used in calculation), n (the memory of the process) and q (scaling factor). Our results revealed that the appropriate selection of Δ and n plays the crucial role in estimator efficiency, as well as its accuracy...This work was supported by the Foundation for Polish Science.
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Robert ¿lepaczuk, PhD. Assistant professor atUniversity of Warsaw. Head of Quantitative Finance program and QFRG. Quantitative fund manager at Union Investment TFI S.A.................................Grzegorz Zakrzewski. Risk management expert with8 years experience in banking industry, focused mainly on quantitative models for credit risk.
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This paper focuses on volatility of financial markets, which is one of the most important issues in finance, especially with regards to modelling high-frequency data. Risk management, asset pricing and option valuation techniques are the areas where the concept of volatility estimators (consistent, unbiased and the most efficient) is of crucial concern. Our intention was to find the best estimator of true volatility taking into account the latest investigations in finance literature. Basing on the methodology presented in previous papers on volatility estimators, we computed the various model-free volatility estimators and compared them with classical volatility estimator. In order to reveal the information set hidden in high-frequency data, we utilized the concept of realized volatility and realized range. Calculating our estimator, we carefully focused on (the interval used in calculation), n (the memory of the process) and q (scaling factor). Our results revealed that the appropriate selection of and n plays the crucial role in estimator efficiency, as well as its accuracy.This work was supported by the Foundation for Polish Science. 60 pp. Englisch. Bestandsnummer des Verkäufers 9783844356939
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Slepaczuk RobertRobert Slepaczuk, PhD. Assistant professor atUniversity of Warsaw. Head of Quantitative Finance program and QFRG. Quantitative fund manager at Union Investment TFI S.A.Grzegorz Zakrzews. Bestandsnummer des Verkäufers 5475304
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This paper focuses on volatility of financial markets, which is one of the most important issues in finance, especially with regards to modelling high-frequency data. Risk management, asset pricing and option valuation techniques are the areas where the concept of volatility estimators (consistent, unbiased and the most efficient) is of crucial concern. Our intention was to find the best estimator of true volatility taking into account the latest investigations in finance literature. Basing on the methodology presented in previous papers on volatility estimators, we computed the various model-free volatility estimators and compared them with classical volatility estimator. In order to reveal the information set hidden in high-frequency data, we utilized the concept of realized volatility and realized range. Calculating our estimator, we carefully focused on (the interval used in calculation), n (the memory of the process) and q (scaling factor). Our results revealed that the appropriate selection of and n plays the crucial role in estimator efficiency, as well as its accuracy.This work was supported by the Foundation for Polish Science. Bestandsnummer des Verkäufers 9783844356939
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This paper focuses on volatility of financial markets, which is one of the most important issues in finance, especially with regards to modelling high-frequency data. Risk management, asset pricing and option valuation techniques are the areas where the concept of volatility estimators (consistent, unbiased and the most efficient) is of crucial concern. Our intention was to find the best estimator of true volatility taking into account the latest investigations in finance literature. Basing on the methodology presented in previous papers on volatility estimators, we computed the various model-free volatility estimators and compared them with classical volatility estimator. In order to reveal the information set hidden in high-frequency data, we utilized the concept of realized volatility and realized range. Calculating our estimator, we carefully focused on ¿ (the interval used in calculation), n (the memory of the process) and q (scaling factor). Our results revealed that the appropriate selection of ¿ and n plays the crucial role in estimator efficiency, as well as its accuracy.This work was supported by the Foundation for Polish Science.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 60 pp. Englisch. Bestandsnummer des Verkäufers 9783844356939
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Taschenbuch. Zustand: Neu. High-Frequency and Model-Free Volatility Estimators | Robert ¿Lepaczuk (u. a.) | Taschenbuch | 60 S. | Englisch | 2013 | LAP LAMBERT Academic Publishing | EAN 9783844356939 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 106063256
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