Advances in Financial Planning and Forecasting (New Series) Vol．7
Advances in Financial Planning and Forecasting (New Series) Vol．7

Author: Cheng F. Lee

Publisher: Center for PBBEFR & Airiti Press

Published: 2016-01-01

Total Pages:

ISBN-13: 9864371274

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Advances in Financial Planning and Froecasting (New Series) is an annual publication designed to disseminate developments in the area of financial analysis, planning, and forecasting. The publication is a froum for statistical, quantitative, and accounting analyses of issues in financial analysis and planning in terms of finance, accounting, and economic data.

Advances in Investment Analysis and Portfolio Management (New Series) Vol．7
Advances in Investment Analysis and Portfolio Management (New Series) Vol．7

Author: Cheng F. Lee

Publisher: Center for PBBEFR & Airiti Press

Published: 2016-01-01

Total Pages:

ISBN-13: 9864370480

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Advances in Investment Analysis and Portfolio Management (New Series) is an annual publication designed to disseminate developments in the area of investment analysis and portfolio management. The publication is a forum for statistical and quantitative analyses of issues in security analysis, portfolio management, options, futures, and other related issues. The objective is to promote interaction between academic research in finance, economics, and accounting and applied research in the financial community.

Recent Advances In Simulated Evolution And Learning
Recent Advances In Simulated Evolution And Learning

Author: Kay Chen Tan

Publisher: World Scientific

Published: 2004-08-26

Total Pages: 836

ISBN-13: 9814482064

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Inspired by the Darwinian framework of evolution through natural selection and adaptation, the field of evolutionary computation has been growing very rapidly, and is today involved in many diverse application areas. This book covers the latest advances in the theories, algorithms, and applications of simulated evolution and learning techniques. It provides insights into different evolutionary computation techniques and their applications in domains such as scheduling, control and power, robotics, signal processing, and bioinformatics. The book will be of significant value to all postgraduates, research scientists and practitioners dealing with evolutionary computation or complex real-world problems.This book has been selected for coverage in:• Index to Scientific & Technical Proceedings (ISTP CDROM version / ISI Proceedings)• CC Proceedings — Engineering & Physical Sciences

Advanced Intelligent Computing Theories and Applications - With Aspects of Theoretical and Methodological Issues
Advanced Intelligent Computing Theories and Applications - With Aspects of Theoretical and Methodological Issues

Author: De-Shuang Huang

Publisher: Springer

Published: 2007-07-31

Total Pages: 1402

ISBN-13: 3540741712

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This volume, in conjunction with the two volumes CICS 0002 and LNAI 4682, constitutes the refereed proceedings of the Third International Conference on Intelligent Computing held in Qingdao, China, in August 2007. The 139 full papers published here were carefully reviewed and selected from among 2,875 submissions. Collectively, these papers represent some of the most important findings and insights into the field of intelligent computing.

Corporate Governance and Financial Management
Corporate Governance and Financial Management

Author: S. Nuryanah

Publisher: Springer

Published: 2015-01-16

Total Pages: 396

ISBN-13: 1137435615

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This book integrates corporate governance, corporate finance and accounting to formulate sound financial management strategies. It offers practical steps for managers using an integrated optimisation financial model to achieve good corporate governance practices which lead to lower risks and higher firm value.

Analysis and Forecasting of Financial Time Series
Analysis and Forecasting of Financial Time Series

Author: Jaydip Sen

Publisher: Cambridge Scholars Publishing

Published: 2022-10-11

Total Pages: 405

ISBN-13: 1527588858

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This book brings together real-world cases illustrating how to analyse volatile financial time series in order to provide a better understanding of their past behavior and robust forecasting of their future behavioural patterns. Using time series data from diverse financial sectors, it shows how the concepts and techniques of statistical analysis, machine learning, and deep learning are applied to build robust predictive models, as well as the ways in which these models can be used for forecasting the future prices of stocks and constructing profitable portfolios of investments. All the concepts and methods used in the book have been implemented using Python and R languages on TensorFlow and Keras frameworks. The volume will be particularly useful for advanced postgraduate and doctoral students of finance, economics, econometrics, statistics, data science, computer science, and information technology.