High-Frequency and Model-Free Volatility Estimators

 
9783844356939: High-Frequency and Model-Free Volatility Estimators
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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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About the Author:

Robert Ślepaczuk, 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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Book Description Condition: New. Publisher/Verlag: LAP Lambert Academic Publishing | 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. | Format: Paperback | Language/Sprache: english | 60 pp. Seller Inventory # K9783844356939

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Book Description LAP Lambert Academic Publishing Feb 2013, 2013. Taschenbuch. Condition: Neu. 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. Seller Inventory # 9783844356939

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Book Description LAP Lambert Academic Publishing Feb 2013, 2013. Taschenbuch. Condition: Neu. 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. Seller Inventory # 9783844356939

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Book Description LAP Lambert Academic Publishing, United States, 2013. Paperback. Condition: New. Language: English . Brand New Book. 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. Seller Inventory # KNV9783844356939

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Book Description LAP LAMBERT Academic Publishing. Paperback. Condition: New. 60 pages. Dimensions: 8.7in. x 5.9in. x 0.1in.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. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN. Paperback. Seller Inventory # 9783844356939

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