The Experts below are selected from a list of 50442 Experts worldwide ranked by ideXlab platform

Jeremy Staum - One of the best experts on this subject based on the ideXlab platform.

  • Winter Simulation Conference - Simulation in Financial Engineering: simulation in Financial Engineering
    2002
    Co-Authors: Jeremy Staum
    Abstract:

    This paper presents an overview of the use of simulation algorithms in the field of Financial Engineering, assuming on the part of the reader no familiarity with finance and a modest familiarity with simulation methodology, but not its specialist research literature. The focus is on the challenges specific to Financial simulations and the approaches that researchers have developed to handle them, although the paper does not constitute a comprehensive survey of the research literature. It offers to simulation researchers, professionals, and students an introduction to an application of increasing significance both within the simulation research community and among Financial Engineering practitioners.

  • Winter Simulation Conference - Option pricing: simulation in Financial Engineering
    2001
    Co-Authors: Jeremy Staum
    Abstract:

    This paper presents an overview of the use of simulation algorithms in the field of Financial Engineering, assuming on the part of the reader no familiarity with finance and a modest familiarity with simulation methodology, but not its specialist research literature. The focus is on the challenges specific to Financial simulations and the approaches that researchers have developed to handle them, although the paper does not constitute a comprehensive survey of the research literature. It offers to simulation researchers, professionals, and students an introduction to an application of increasing significance both within the simulation research community and among Financial Engineering practitioners.

  • Simulation in Financial Engineering
    Proceeding of the 2001 Winter Simulation Conference (Cat. No.01CH37304), 1
    Co-Authors: Jeremy Staum
    Abstract:

    This paper presents an overview of the use of simulation algorithms in the field of Financial Engineering, assuming on the part of the reader no familiarity with finance and a modest familiarity with simulation methodology, but not its specialist research literature. The focus is on the challenges specific to Financial simulations and the approaches that researchers have developed to handle them, although the paper does not constitute a comprehensive survey of the research literature. It offers to simulation researchers, professionals, and students an introduction to an application of increasing significance both within the simulation research community and among Financial Engineering practitioners.

Sunitha Ratnakaram - One of the best experts on this subject based on the ideXlab platform.

  • The Role of Blockchain Technology in Financial Engineering
    Lecture Notes in Electrical Engineering, 2020
    Co-Authors: Venkamaraju Chakravaram, Sunitha Ratnakaram, Ester Agasha, Nitin Simha Vihari
    Abstract:

    This research work is to study and list out the processes and operational areas where Blockchain Technology (BCT) is playing a greater role as a tool in the process of Financial Engineering (FE) in the insurance business. We studied the use of BCT as one of the InsurTech tools in the design and development of Financially engineered insurance products. Here, the development of insurance products covers the design of new and innovative insurance policy models, its attractive features as per the needs and requirements of concerned target customers. Insurance processes cover the management and administration of insurance business i.e., marketing, sales and distribution, the underwriting process and claims management, etc. Financial Engineering is a process of creating a new and innovative insurance model by merging existing policy models OR creating a new and innovative insurance model. FE uses the tools and techniques of Statistics, Financial Mathematics, Econometrics, ICTs which includes, FinTech tools, InsurTech tools like Blockchain Technology, Artificial Intelligence, etc. In this research work, we used descriptive cum explorative research methodology. We have studied the role of BCT as an effective tool in the Financial Engineering process of the insurance business.

  • Use of ICTs in Financial Engineering Applications in Insurance Business
    ICT Analysis and Applications, 2020
    Co-Authors: Venkamaraju Chakravaram, Srinivas Jangirala, Sunitha Ratnakaram
    Abstract:

    The research paper evaluates the use and contribution of Information and Communication Technologies (ICTs) in the design and development of Financial engineered life insurance policies and Financially engineered life insurance business processes in the growth of the life Insurance Business in India. The research study explores the use of ICTs in various product development stages of Financially engineered life insurance policies and the use of ICTs in insurance processes. Specifically, this paper reports a theoretical examination that simultaneously considers the effects of these relationships among ICTs, Financial Engineering, Insurance Business and growth of the insurance business in India, and the role and contribution of ICTs in the Financial Engineering applications in Financially engineered life policies and processes. It encapsulates the role of ICTs in FE applications in the design and development of Financially Engineered policies, business processes of insurers including companies’ performance management.

  • The Role of Big Data, Data Science and Data Analytics in Financial Engineering
    Proceedings of the 2019 International Conference on Big Data Engineering (BDE 2019) - BDE 2019, 2019
    Co-Authors: Venkamaraju Chakravaram, G Vidya Sagar Rao, Jangirala Srinivas, Sunitha Ratnakaram
    Abstract:

    Financial Engineering is the process of creating innovative solutions for the existing Financial problems of a company by using applications of mathematical methods. Financial Engineering uses tools and knowledge from the fields of computer science, big data, data science, data analytics, statistics, economics and applied mathematics to address current Financial issues as well as to devise new and innovative Financial products. Financial Engineering is helpful in derivative pricing, Financial regulation, execution, corporate finance, portfolio management, risk management, trading of structured products. Therefore, Financial Engineering is used by Commercial Banks, Investment Banks, Insurance companies and other fund hedging agencies. The present study focus on the role of big data, data science and data analytics in Financial Engineering as a successful tool at all stages of insurance business management practices. How these insurance companies are using said three data tools effectively as fasteners of Financial Engineering for the successful design, development and implementation of innovative business processes and products in this competitive and ever-changing insurance market with innovative product features and strategies.

Yuh-dauh Lyuu - One of the best experts on this subject based on the ideXlab platform.

  • Financial Engineering and computation principles mathematics algorithms
    2001
    Co-Authors: Yuh-dauh Lyuu
    Abstract:

    Students and professionals intending to work in any area of finance must master not only advanced concepts and mathematical models but also learn how to implement these models computationally. This comprehensive text, first published in 2002, combines the theory and mathematics behind Financial Engineering with an emphasis on computation, in keeping with the way Financial Engineering is practised in capital markets. Unlike most books on investments, Financial Engineering, or derivative securities, the book starts from very basic ideas in finance and gradually builds up the theory. It offers a thorough grounding in the subject for MBAs in finance, students of Engineering and sciences who are pursuing a career in finance, researchers in computational finance, system analysts, and Financial engineers. Along with the theory, the author presents numerous algorithms for pricing, risk management, and portfolio management. The emphasis is on pricing Financial and derivative securities: bonds, options, futures, forwards, interest rate derivatives, mortgage-backed securities, bonds with embedded options, and more.

  • Financial Engineering and Computation: Principles, Mathematics, Algorithms - Financial Engineering and Computation: Principles, Mathematics, Algorithms
    2001
    Co-Authors: Yuh-dauh Lyuu
    Abstract:

    Students and professionals intending to work in any area of finance must master not only advanced concepts and mathematical models but also learn how to implement these models computationally. This comprehensive text, first published in 2002, combines the theory and mathematics behind Financial Engineering with an emphasis on computation, in keeping with the way Financial Engineering is practised in capital markets. Unlike most books on investments, Financial Engineering, or derivative securities, the book starts from very basic ideas in finance and gradually builds up the theory. It offers a thorough grounding in the subject for MBAs in finance, students of Engineering and sciences who are pursuing a career in finance, researchers in computational finance, system analysts, and Financial engineers. Along with the theory, the author presents numerous algorithms for pricing, risk management, and portfolio management. The emphasis is on pricing Financial and derivative securities: bonds, options, futures, forwards, interest rate derivatives, mortgage-backed securities, bonds with embedded options, and more.

  • Financial Engineering and Computation
    2001
    Co-Authors: Yuh-dauh Lyuu
    Abstract:

    Students and professionals intending to work in any area of finance must master not only advanced concepts and mathematical models but also learn how to implement these models computationally. This comprehensive text, first published in 2002, combines the theory and mathematics behind Financial Engineering with an emphasis on computation, in keeping with the way Financial Engineering is practised in capital markets. Unlike most books on investments, Financial Engineering, or derivative securities, the book starts from very basic ideas in finance and gradually builds up the theory. It offers a thorough grounding in the subject for MBAs in finance, students of Engineering and sciences who are pursuing a career in finance, researchers in computational finance, system analysts, and Financial engineers. Along with the theory, the author presents numerous algorithms for pricing, risk management, and portfolio management. The emphasis is on pricing Financial and derivative securities: bonds, options, futures, forwards, interest rate derivatives, mortgage-backed securities, bonds with embedded options, and more.

Venkamaraju Chakravaram - One of the best experts on this subject based on the ideXlab platform.

  • The Role of Blockchain Technology in Financial Engineering
    Lecture Notes in Electrical Engineering, 2020
    Co-Authors: Venkamaraju Chakravaram, Sunitha Ratnakaram, Ester Agasha, Nitin Simha Vihari
    Abstract:

    This research work is to study and list out the processes and operational areas where Blockchain Technology (BCT) is playing a greater role as a tool in the process of Financial Engineering (FE) in the insurance business. We studied the use of BCT as one of the InsurTech tools in the design and development of Financially engineered insurance products. Here, the development of insurance products covers the design of new and innovative insurance policy models, its attractive features as per the needs and requirements of concerned target customers. Insurance processes cover the management and administration of insurance business i.e., marketing, sales and distribution, the underwriting process and claims management, etc. Financial Engineering is a process of creating a new and innovative insurance model by merging existing policy models OR creating a new and innovative insurance model. FE uses the tools and techniques of Statistics, Financial Mathematics, Econometrics, ICTs which includes, FinTech tools, InsurTech tools like Blockchain Technology, Artificial Intelligence, etc. In this research work, we used descriptive cum explorative research methodology. We have studied the role of BCT as an effective tool in the Financial Engineering process of the insurance business.

  • Use of ICTs in Financial Engineering Applications in Insurance Business
    ICT Analysis and Applications, 2020
    Co-Authors: Venkamaraju Chakravaram, Srinivas Jangirala, Sunitha Ratnakaram
    Abstract:

    The research paper evaluates the use and contribution of Information and Communication Technologies (ICTs) in the design and development of Financial engineered life insurance policies and Financially engineered life insurance business processes in the growth of the life Insurance Business in India. The research study explores the use of ICTs in various product development stages of Financially engineered life insurance policies and the use of ICTs in insurance processes. Specifically, this paper reports a theoretical examination that simultaneously considers the effects of these relationships among ICTs, Financial Engineering, Insurance Business and growth of the insurance business in India, and the role and contribution of ICTs in the Financial Engineering applications in Financially engineered life policies and processes. It encapsulates the role of ICTs in FE applications in the design and development of Financially Engineered policies, business processes of insurers including companies’ performance management.

  • The Role of Big Data, Data Science and Data Analytics in Financial Engineering
    Proceedings of the 2019 International Conference on Big Data Engineering (BDE 2019) - BDE 2019, 2019
    Co-Authors: Venkamaraju Chakravaram, G Vidya Sagar Rao, Jangirala Srinivas, Sunitha Ratnakaram
    Abstract:

    Financial Engineering is the process of creating innovative solutions for the existing Financial problems of a company by using applications of mathematical methods. Financial Engineering uses tools and knowledge from the fields of computer science, big data, data science, data analytics, statistics, economics and applied mathematics to address current Financial issues as well as to devise new and innovative Financial products. Financial Engineering is helpful in derivative pricing, Financial regulation, execution, corporate finance, portfolio management, risk management, trading of structured products. Therefore, Financial Engineering is used by Commercial Banks, Investment Banks, Insurance companies and other fund hedging agencies. The present study focus on the role of big data, data science and data analytics in Financial Engineering as a successful tool at all stages of insurance business management practices. How these insurance companies are using said three data tools effectively as fasteners of Financial Engineering for the successful design, development and implementation of innovative business processes and products in this competitive and ever-changing insurance market with innovative product features and strategies.

Panos M Pardalos - One of the best experts on this subject based on the ideXlab platform.

  • handbook of Financial Engineering
    2011
    Co-Authors: Constantin Zopounidis, Michael Doumpos, Panos M Pardalos
    Abstract:

    This comprehensive handbook discusses the most recent advances within the field of Financial Engineering, focusing not only on the description of the existing areas in Financial Engineering research, but also on the new methodologies that have been developed for modeling and addressing Financial Engineering problems. The book is intended for Financial engineers, researchers, applied mathematicians, and graduate students interested in real-world applications to Financial Engineering.

  • network optimization in supply chain management and Financial Engineering an annotated bibliography
    Networks, 2003
    Co-Authors: Joseph Geunes, Panos M Pardalos
    Abstract:

    During the past decade, two relatively new application areas have attracted the attention of a growing number of researchers who specialize in applying optimization techniques to large-scale real-world problems. The now well-known areas of supply chain management and Financial Engineering have provided extremely rich contexts for the definition of new large-scale optimization problems, the solutions of which can provide substantial value to organizations. This paper discusses the extent to which network optimization approaches have contributed to the advancement of supply chain management and Financial Engineering research through an examination of past literature involving network optimization applications within these still emerging fields. © 2003 Wiley Periodicals, Inc.