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Liquidity Risk Modeling using Artificial Neural Networks: Basics, Concepts, Methods - Softcover

 
9783844324976: Liquidity Risk Modeling using Artificial Neural Networks: Basics, Concepts, Methods

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A new element of risk, the liquidity risk, has flourished along this time taking importance and playing a key role in risk management tools. This has attracted the attention of the scientific community and financial experts. Therefore, this book provides a theoretical introduction and a state of the art of the key elements needed to understand the complexity of the dealt issue. Mainly it gives a study over liquidy risk and its application in market risk (being included in VaR measure). It also explores a relatively new alternative approach to model the liquidity risk using artificial neural networks, which has been oriented in focused delay and recurrent neural networks due to their capability to work with time series. That analysis should help shed some light on this new environment and should be useful to professionals in finance.

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About the Author

Master in Financial Markets (IDEC-Universitat Pompeu Fabra). Master in Artificial Intelligence (Universitat Politècnica de Catalunya). Computer Science Degree (Universitat de Barcelona).

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ISBN 10: 3844324976 ISBN 13: 9783844324976
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -A new element of risk, the liquidity risk, has flourished along this time taking importance and playing a key role in risk management tools. This has attracted the attention of the scientific community and financial experts. Therefore, this book provides a theoretical introduction and a state of the art of the key elements needed to understand the complexity of the dealt issue. Mainly it gives a study over liquidy risk and its application in market risk (being included in VaR measure). It also explores a relatively new alternative approach to model the liquidity risk using artificial neural networks, which has been oriented in focused delay and recurrent neural networks due to their capability to work with time series. That analysis should help shed some light on this new environment and should be useful to professionals in finance. 116 pp. Englisch. Seller Inventory # 9783844324976

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Published by LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3844324976 ISBN 13: 9783844324976
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ISBN 10: 3844324976 ISBN 13: 9783844324976
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Taschenbuch. Condition: Neu. Neuware -A new element of risk, the liquidity risk, has flourished along this time taking importance and playing a key role in risk management tools. This has attracted the attention of the scientific community and financial experts. Therefore, this book provides a theoretical introduction and a state of the art of the key elements needed to understand the complexity of the dealt issue. Mainly it gives a study over liquidy risk and its application in market risk (being included in VaR measure). It also explores a relatively new alternative approach to model the liquidity risk using artificial neural networks, which has been oriented in focused delay and recurrent neural networks due to their capability to work with time series. That analysis should help shed some light on this new environment and should be useful to professionals in finance.Books on Demand GmbH, Überseering 33, 22297 Hamburg 116 pp. Englisch. Seller Inventory # 9783844324976

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Jordi Petchamé Sala
Published by LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3844324976 ISBN 13: 9783844324976
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - A new element of risk, the liquidity risk, has flourished along this time taking importance and playing a key role in risk management tools. This has attracted the attention of the scientific community and financial experts. Therefore, this book provides a theoretical introduction and a state of the art of the key elements needed to understand the complexity of the dealt issue. Mainly it gives a study over liquidy risk and its application in market risk (being included in VaR measure). It also explores a relatively new alternative approach to model the liquidity risk using artificial neural networks, which has been oriented in focused delay and recurrent neural networks due to their capability to work with time series. That analysis should help shed some light on this new environment and should be useful to professionals in finance. Seller Inventory # 9783844324976

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