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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) 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.
This volume is a valuable source of recent knowledge about advanced time series forecasting techniques such as artificial neural networks, fuzzy time series, or hybrid approaches. New forecasting frameworks are discussed and their application is demonstrated. The second volume of the series includes applications of some powerful forecasting approaches with a focus on fuzzy time series methods. Chapters integrate these methods with concepts such as neural networks, high order multivariate systems, deterministic trends, distance measurement and much more. The chapters are contributed by eminent scholars and serve to motivate and accelerate future progress while introducing new branches of time series forecasting. This book is a valuable resource for MSc and PhD students, academic personnel and researchers seeking updated and critically important information on the concepts of advanced time series forecasting and its applications.
"GRASPED ACCOUNTABILITY Book 8: Advanced Strategies for Scaling Up" is a strategic manual for entrepreneurs ready to take their businesses to the next level of growth. It explores the nuances of scaling up, from business model innovation and financial management to building a team and operational efficiency. This book goes beyond the basics, diving into market expansion strategies and the importance of adaptability, innovation, and strategic planning for sustained growth. With a focus on actionable insights, real-world examples, and practical advice, it serves as an indispensable guide for entrepreneurs aiming to navigate the complexities of scaling with integrity and foresight. Comprehensive Scaling Strategies: Offers an in-depth exploration of various aspects critical to scaling a business, providing a holistic guide for entrepreneurs. Practical and Actionable Insights: Packed with practical advice, exercises, and real-world case studies, making the strategies approachable and applicable. Focus on Sustainable Growth: Emphasizes not just rapid expansion but sustainable growth, aligning with long-term vision and ethical business practices. Armed with the knowledge and tools presented herein, you are now poised to embark on the next phase of your entrepreneurial journey with confidence and strategic acumen. Let the principles of adaptability, innovation, and strategic foresight guide your path to scaling success, as you continue to build a legacy of impactful, sustainable growth. Innovation and Adaptability: Encourages a culture of innovation and adaptability, highlighting their importance in navigating the challenges of scaling up.
This volume of selected and peer-reviewed contributions on the latest developments in time series analysis and forecasting updates the reader on topics such as analysis of irregularly sampled time series, multi-scale analysis of univariate and multivariate time series, linear and non-linear time series models, advanced time series forecasting methods, applications in time series analysis and forecasting, advanced methods and online learning in time series and high-dimensional and complex/big data time series. The contributions were originally presented at the International Work-Conference on Time Series, ITISE 2016, held in Granada, Spain, June 27-29, 2016. The series of ITISE conferences provides a forum for scientists, engineers, educators and students to discuss the latest ideas and implementations in the foundations, theory, models and applications in the field of time series analysis and forecasting. It focuses on interdisciplinary and multidisciplinary research encompassing the disciplines of computer science, mathematics, statistics and econometrics.
Financial innovation is a regular feature of the global financial system. Financial innovation results in greater economic efficiency over time. In the process of creating a new financial product, besides basic theory of financial management, a financial engineer needs to acquire knowledge of optimization and financial modeling techniques. Modern financial innovation is underpinned by a rich literature including the seminal studies by Levich (1985), Smith, Smithson, and Wilford (1990), Verghese (1990), Merton (1992), Levine (1997), John D Finnerty (2002), Tufano (2003) and Draghi (2008), among many others. This book corresponds to the need to provide an integrated study on financial innovation and the economic regulatory mechanism. A key part of financial innovation covered in the book is the process of creating innovative financial securities and derivative pricing that offers new pay-offs to investors. The book also covers a selection of empirical studies corroborating financial innovation theories. It also exposes myths surrounding performance evaluation models. This book is presented in six chapters. The first chapter outlines important considerations on the application of financial innovation theories. The second chapter presents the theories that underpin financial innovation practice. The third chapter focuses on use of technology for financial modeling. The fourth chapter identifies the relationship between financial innovation and the wider economic system. The fifth chapter discusses the place of financial innovation in the global financial system. The sixth and final chapter presents a comparative analysis of India and the United States.
Every 3rd issue is a quarterly cumulation.
Traditionally society has regulated hazardous industries by detailed references to engineering codes, standards and hardware requirements. These days a risk-based approach is adopted. Risk analysis involves identifying hazards, categorizing the risks, and providing the necessary decision support to determine the necessary arrangements and measures to reach a "safe" yet economical operating level. When adopting such an approach the abundance of techniques available to express risk levels can often prove confusing and inadequate. This highly practical guide to safety and risk analysis in Marine Systems not only adds to the current techniques available, but more importantly identifies instances where traditional techniques fall short. Uncertainties that manifest within risk analysis are highlighted and alternative solutions presented. In addition to risk analysis techniques this book addresses influencing elements including: reliability, Maintenance Decision making and Human error. The highly practical approach of this title ensures it is accessible to the widest possible audience
Collecting together twenty-three self-contained articles, this volume presents the current research of a number of renowned scientists in both probability theory and statistics as well as their various applications in economics, finance, the physics of wind-blown sand, queueing systems, risk assessment, turbulence and other areas. The contributions are dedicated to and inspired by the research of Ole E. Barndorff-Nielsen who, since the early 1960s, has been and continues to be a very active and influential researcher working on a wide range of important problems. The topics covered include, but are not limited to, econometrics, exponential families, Lévy processes and infinitely divisible distributions, limit theory, mathematical finance, random matrices, risk assessment, statistical inference for stochastic processes, stochastic analysis and optimal control, time series, and turbulence. The book will be of interest to researchers and graduate students in probability, statistics and their applications.