Sardar M. N. Islam – författare

Many optimization questions arise in economics and finance; an important example of this is the society''s choice of the optimum state of the economy (the social choice problem). Optimization in Economics and Finance extends and improves the usual optimization techniques, in a form that may be adopted for modeling social choice problems. Problems discussed include: when is an optimum reached; when is it unique; relaxation of the conventional convex (or concave) assumptions on an economic model; associated mathematical concepts such as invex and quasimax; multiobjective optimal control models; and related computational methods and programs. These techniques are applied to economic growth models (including small stochastic perturbations), finance and financial investment models (and the interaction between financial and production variables), modeling sustainability over long time horizons, boundary (transversality) conditions, and models with several conflicting objectives. Although the applications are general and illustrative, the models in this book provide examples of possible models for a society''s social choice for an allocation that maximizes welfare and utilization of resources. As well as using existing computer programs for optimization of models, a new computer program, named SCOM, is presented in this book for computing social choice models by optimal control.

This book provides a technical and specialised discussion of contemporary and emerging issues in foreign exchange and financial markets by addressing the issues of risk management and theory and hypothesis development, which have general implications for finance theory and foreign exchange market management. It offers an in-depth, comprehensive analysis of the issues concerning the volatility of exchange rates.

The book has three main objectives. First, it applies the integrated study of exchange rate volatility in terms of depth and breadth. Second, it applies the integrated study of exchange rate volatility in Malaysia, as a case study of a developing country. Malaysia had imposed capital control measures in the past and has now liberalised its exchange rate market and will continue to liberalise it further in the long run. Hence, the need to understand exchange rate volatility measurement and management will be even more important in the future. Third, the book highlights new conditional volatility models for a developing country, such as Malaysia, and develops advanced econometric models which have produced results for sound risk management strategies and for achieving risk management in the financial market and the economy. Additionally, the authors recommend risk management themes which may be of relevance to other developing countries.

This work can be used as a reference book by fund managers, financial market analysts, researchers, academics, practitioners, policy makers and postgraduate students in the areas of finance, accounting, business and financial economics. It can also be a supplementary text for Ph.D. and Masters’ students in these areas.

This book provides a technical and specialised discussion of contemporary and emerging issues in foreign exchange and financial markets by addressing the issues of risk management and theory and hypothesis development, which have general implications for finance theory and foreign exchange market management. It offers an in-depth, comprehensive analysis of the issues concerning the volatility of exchange rates.

The book has three main objectives. First, it applies the integrated study of exchange rate volatility in terms of depth and breadth. Second, it applies the integrated study of exchange rate volatility in Malaysia, as a case study of a developing country. Malaysia had imposed capital control measures in the past and has now liberalised its exchange rate market and will continue to liberalise it further in the long run. Hence, the need to understand exchange rate volatility measurement and management will be even more important in the future. Third, the book highlights new conditional volatility models for a developing country, such as Malaysia, and develops advanced econometric models which have produced results for sound risk management strategies and for achieving risk management in the financial market and the economy. Additionally, the authors recommend risk management themes which may be of relevance to other developing countries.

This work can be used as a reference book by fund managers, financial market analysts, researchers, academics, practitioners, policy makers and postgraduate students in the areas of finance, accounting, business and financial economics. It can also be a supplementary text for Ph.D. and Masters’ students in these areas.

The relationship between ownership structure and firm performance has been studied extensively in corporate finance and corporate governance literature. Nevertheless, the mediation (path) analysis to examine the issue can be adopted as a new approach to explain why and how ownership structure is related to firm performance and vice versa. This approach calls for full recognition of the roles of agency costs and corporate risk-taking as essential mediating variables in the bi-directional and mediated relationship between ownership structure and firm performance.

Based on the agency theory, corporate risk management theory and accounting for the dynamic endogeneity in the ownership–performance relationship, this book develops two-mediator mediation models, including recursive and non-recursive mediation models, to investigate the ownership structure–firm performance relationship. It is demonstrated that agency costs and corporate risk-taking are the ‘missing links’ in the ownership structure–firm performance relationship. Hence, this book brings into attention the mediation and dynamic approach to this issue and enhances the knowledge of the mechanisms for improving firm’s financial performance.

This book will be of interest to corporate finance, management and economics researchers and policy makers. Post-graduate research students in corporate governance and corporate finance will also find this book beneficial to the application of econometrics into multi-dimensional and complex issues of the firm, including ownership structure, agency problems, corporate risk management and financial performance.

The relationship between ownership structure and firm performance has been studied extensively in corporate finance and corporate governance literature. Nevertheless, the mediation (path) analysis to examine the issue can be adopted as a new approach to explain why and how ownership structure is related to firm performance and vice versa. This approach calls for full recognition of the roles of agency costs and corporate risk-taking as essential mediating variables in the bi-directional and mediated relationship between ownership structure and firm performance.

Based on the agency theory, corporate risk management theory and accounting for the dynamic endogeneity in the ownership–performance relationship, this book develops two-mediator mediation models, including recursive and non-recursive mediation models, to investigate the ownership structure–firm performance relationship. It is demonstrated that agency costs and corporate risk-taking are the ‘missing links’ in the ownership structure–firm performance relationship. Hence, this book brings into attention the mediation and dynamic approach to this issue and enhances the knowledge of the mechanisms for improving firm’s financial performance.

This book will be of interest to corporate finance, management and economics researchers and policy makers. Post-graduate research students in corporate governance and corporate finance will also find this book beneficial to the application of econometrics into multi-dimensional and complex issues of the firm, including ownership structure, agency problems, corporate risk management and financial performance.

In today’s era, there is a need for a system that can automate the process of treatment for the patient if medical facilities are out of reach. Smart healthcare can step in to make the patient more self-dependent. 6G with its features can be seen as the future of smart healthcare with IoT and AI.

6G-Enabled IoT and AI for Smart Healthcare: Challenges, Impact, and Analysis offers the fundamentals, history, reality, and challenges faced in the smart healthcare industry today. It discusses the concepts, tools, and techniques of smart healthcare as well as the analysis used. The book details the role that machine learning-based deep learning and 6G-enabled IoT concepts play in the automation of smart healthcare systems. The book goes on to presents applications of smart healthcare through various real-world examples and includes chapters on security and privacy in the 6G-enabled and IoT environment, as well as research on the future prospects of the smart healthcare industry.

This book:

Interested readers of this book will include anyone working in or involved in smart healthcare research which includes, but is not limited to healthcare specialists, computer science engineers, electronics engineers, systems engineers, and pharmaceutical practitioners.

In today’s era, there is a need for a system that can automate the process of treatment for the patient if medical facilities are out of reach. Smart healthcare can step in to make the patient more self-dependent. 6G with its features can be seen as the future of smart healthcare with IoT and AI.

6G-Enabled IoT and AI for Smart Healthcare: Challenges, Impact, and Analysis offers the fundamentals, history, reality, and challenges faced in the smart healthcare industry today. It discusses the concepts, tools, and techniques of smart healthcare as well as the analysis used. The book details the role that machine learning-based deep learning and 6G-enabled IoT concepts play in the automation of smart healthcare systems. The book goes on to presents applications of smart healthcare through various real-world examples and includes chapters on security and privacy in the 6G-enabled and IoT environment, as well as research on the future prospects of the smart healthcare industry.

This book:

Interested readers of this book will include anyone working in or involved in smart healthcare research which includes, but is not limited to healthcare specialists, computer science engineers, electronics engineers, systems engineers, and pharmaceutical practitioners.

Cybersecurity in Robotic Autonomous Vehicles introduces a novel intrusion detection system (IDS) specifically designed for AVs, which leverages data prioritisation in CAN IDs to enhance threat detection and mitigation. It offers a pioneering intrusion detection model for AVs that uses machine and deep learning algorithms.

Presenting a new method for improving vehicle security, the book demonstrates how the IDS has incorporated machine learning and deep learning frameworks to analyse CAN bus traffic and identify the presence of any malicious activities in real time with high level of accuracy. It provides a comprehensive examination of the cybersecurity risks faced by AVs with a particular emphasis on CAN vulnerabilities and the innovative use of data prioritisation within CAN IDs.

The book will interest researchers and advanced undergraduate students taking courses in cybersecurity, automotive engineering, and data science. Automotive industry and robotics professionals focusing on Internet of Vehicles and cybersecurity will also benefit from the contents.

Cybersecurity in Robotic Autonomous Vehicles introduces a novel intrusion detection system (IDS) specifically designed for AVs, which leverages data prioritisation in CAN IDs to enhance threat detection and mitigation. It offers a pioneering intrusion detection model for AVs that uses machine and deep learning algorithms.

Presenting a new method for improving vehicle security, the book demonstrates how the IDS has incorporated machine learning and deep learning frameworks to analyse CAN bus traffic and identify the presence of any malicious activities in real time with high level of accuracy. It provides a comprehensive examination of the cybersecurity risks faced by AVs with a particular emphasis on CAN vulnerabilities and the innovative use of data prioritisation within CAN IDs.

The book will interest researchers and advanced undergraduate students taking courses in cybersecurity, automotive engineering, and data science. Automotive industry and robotics professionals focusing on Internet of Vehicles and cybersecurity will also benefit from the contents.