Debt Markets and Investments

This book provides an objective look into the dynamic world of debt markets, products, valuation, and analysis. It also provides an in-depth understanding about this subject from experts in the field, both practitioners and academics. The coverage extends from discussing basic concepts and their application to increasingly intricate and real-world situations. This volume spans the gamut from theoretical to practical, while attempting to offer a useful balance of detailed and user-friendly coverage. The book has several distinguishing features. It blends the contributions of a global array of scholars and practitioners into a single review of some of the most important topics in this area. The book follows an internally consistent approach in format and style. Hence, it is collectively much more than a compilation of chapters from an array of different authors. It presents theory without unnecessary abstraction, quantitative techniques using basic bond mathematics, and conventions at a useful level of detail. It also incorporates how investment professionals analyze and manage fixed income portfolios. The book emphasizes empirical evidence involving debt securities and markets so it is understandable to a wide array of readers. Each chapter contains discussion questions to help reinforce key concepts. The end of the book contains guideline answers to each question. Readers interested in a broad survey will benefit as will those looking for more in-depth presentations of specific areas within this field of study. In summary, the book provides a fresh look at this intriguing and dynamic but often complex subject.

2021 ◽  
Vol 2113 (1) ◽  
pp. 012082
Author(s):  
Yulong Dai ◽  
Qiyou Shen ◽  
Xiangqian Xu ◽  
Jun Yang

Abstract Most real-world systems consist of a large number of interacting entities of many types. However, most of the current researches on systems are based on the assumption that the type of node or link in the network is unique. In other words, the network is homogeneous, containing the same type of nodes and links. Based on this assumption, differential information between nodes and edges is ignored. This paper firstly introduces the research background, challenges and significance of this research. Secondly, the basic concepts of the model are introduced. Thirdly, a novel type-sensitive LeaderRank algorithm is proposed and combined with distance rule to solve the importance ranking problem of content-associated heterogeneous graph nodes. Finally, the writer influence data set is used for experimental analysis to further prove the validity of the model.


2021 ◽  
Vol 7 (3) ◽  
pp. 24-33
Author(s):  
V. L. Malakhova

Th article describes the specifis, principles and methods of synergetics as a promising area of modern research. Synergetics is presented by the author as a holistic integral paradigm used in many sciences which confims its interdisciplinary and even universal nature. Th object of this paradigm is the interaction of complex systems, and since the mere concept ‘system’ is widely used in many scientifi filds, the relevance of synergetics is beyond doubt. Th author describes the main characteristics of the structure and functioning of a system. Th key concepts of synergetics and their explanation are also given. Further, the article discusses the branches of linguistics which use principles of synergetics – linguosynergetics and functional linguosynergetics as its variety. Since the study of text and discourse and their parameters as complex systems is of particular interest to many linguists, linguosynergetics has become one of the demanded scientifi paradigms in this area of research. Th author points out the objectives and tasks of linguistic synergetics, and functional linguosynergetics in particular, their basic concepts, principles and methods. Attention is also paid to the functioning of linguistic means, as well as the formation and interpretation of meaning depending on certain discursive space. Th author comes to the conclusion that thanks to synergetics language can be studied from specifi angles, and the application of its principles greatly contributes to the theory of the evolution of language. Linguosynergetics provides ample opportunities for describing language/text/discourse as a complex dynamic open system, and functional linguosynergetics, in turn, helps describe the features of its functioning and evolution.


Author(s):  
H. Kent Baker ◽  
Greg Filbeck ◽  
Victor Ricciardi

Financial behavior is a complex subject because how people should behave according to traditional finance often differs from how they actually behave. Although traditional and behavioral finance play important roles in understanding investor and market behavior, this book focuses on behavioral finance. Behavioral finance uses insights largely from finance, psychology, and other disciplines to explain how people act and how their behavior affects markets and other financial applications. This chapter provides an overview of behavioral finance, followed by a brief explanation of the book’s purpose, distinguishing features, and intended audience. The chapter outlines the book’s structure of: (1) financial behavior and psychology, (2) financial behavior of major players, (3) financial and investor psychology of specific players, (4) psychology of financial services, (5) behavioral aspects of investment products and markets, (6) market efficiency issues, and (7) application and future of behavioral finance.


2010 ◽  
pp. 490-501
Author(s):  
Eileen B. Entin ◽  
Jason Sidman ◽  
Lisa Neal

This chapter discusses considerations and tradeoffs in designing and developing an online teamwork skills training program for geographically distributed instructors andstudents. The training program is grounded in principles of scenario-based learning, in which operationally realistic scenarios are used to engage students in actively forming links between classroom and real-world applications of key concepts. The chapter focuses on supporting active engagement of learners, and meaningful and thoughtful learner-learner interactions appropriate to the subject matter (Neal & Miller, 2006). We describe lessons learnedin the development of a distributed training program that interleaves asynchronous and synchronous training modules (Neal & Miller, 2005) to leverage the advantages of both self-paced and group learning, provide opportunities to practice the teamwork concepts being trained, create social presence, and promote interactionand reflection among the course members.


Author(s):  
Luis M. de Campos

In this chapter, we present a thesaurus application in the field of text mining and more specifically automatic indexing on the set of descriptors defined by a thesaurus. We begin by presenting various definitions and a mathematical thesaurus model, and also describe various examples of real world thesauri which are used in official institutions. We then explore the problem of thesaurus-based automatic indexing by describing its difficulties and distinguishing features and reviewing previous work in this area. Finally, we propose various lines of future research.


2022 ◽  
pp. 203-219
Author(s):  
Peter Mozelius

Lifelong work-integrated learning is a key challenge in the growing knowledge society, with the Corona pandemic as a catalyst for technology enhancement. This chapter argues for the need of a post-pandemic strategy that rethinks not only the pedagogical aspect but also the technology enhanced and collaborative aspects of lifelong and work-integrated learning. The strategy that is presented in this chapter is based on the author's experience from the BUFFL initiative, a pilot project for industry development at banks and insurance companies through technology-enhanced lifelong learning. The recommendation is a strategy tailored for the target group that supports the work-integrated learning aim of academia providing useful theories for real-world tasks in the industry. Some important components in the strategy are 1) to extend pedagogy with andragogy and heutagogy, 2) the design of user-friendly hybrid environments, and 3) blended communities of practice.


Author(s):  
John Carroll

This article introduces the concepts and techniques for natural language (NL) parsing, which signifies, using a grammar to assign a syntactic analysis to a string of words, a lattice of word hypotheses output by a speech recognizer or similar. The level of detail required depends on the language processing task being performed and the particular approach to the task that is being pursued. This article further describes approaches that produce ‘shallow’ analyses. It also outlines approaches to parsing that analyse the input in terms of labelled dependencies between words. Producing hierarchical phrase structure requires grammars that have at least context-free (CF) power. CF algorithms that are widely used in parsing of NL are described in this article. To support detailed semantic interpretation more powerful grammar formalisms are required, but these are usually parsed using extensions of CF parsing algorithms. Furthermore, this article describes unification-based parsing. Finally, it discusses three important issues that have to be tackled in real-world applications of parsing: evaluation of parser accuracy, parser efficiency, and measurement of grammar/parser coverage.


2020 ◽  
Vol 2020 ◽  
pp. 1-16
Author(s):  
Xinman Zhang ◽  
Kunlei Jing ◽  
Guokun Song

The security problems of online transactions by smartphones reveal extreme demand for reliable identity authentication systems. With a lower risk of forgery, richer texture, and more comfortable acquisition mode, compared with face, fingerprint, and iris, palmprint is rarely adopted for identity authentication. In this paper, we develop an effective and full-function palmprint authentication system regarding the application on an Android smartphone, which bridges the algorithmic study and application of palmprint authentication. In more detail, an overall system framework is designed with complete functions, including palmprint acquisition, key points location, ROI segmentation, feature extraction, and feature coding. Basically, we develop a palmprint authentication system having user-friendly interfaces and good compatibility with the Android smartphone. Particularly, on the one hand, to guarantee the effectiveness and efficiency of the system, we exploit the practical Log-Gabor filter for feature extraction and discuss the impact of filtering direction, downsampling ratio, and discriminative feature coding to propose an improved algorithm. On the other hand, after exploring the hardware components of the smartphone and the technical development of the Android system, we provide an open technology to extend the biometric methods to real-world applications. On the public PolyU databases, simulation results suggest that the improved algorithm outperforms the original one with a promising accuracy of 100% and a good speed of 0.041 seconds. In real-world authentication, the developed system achieves an accuracy of 98.40% and a speed of 0.051 seconds. All the results verify the accuracy and timeliness of the developed system.


Author(s):  
Yu Wang

Data represents the natural phenomena of our real world. Data is constructed by rows and columns; usually rows represent the observations and columns represent the variables. Observations, also called subjects, records, or data points, represent a phenomenon in the real world and variables, as also known as data elements or data fields, represent the characteristics of observations in data. Variables take different values for different observations, which can make observations independent of each other. Figure 4.1 illustrates a section of TCP/IP traffic data, in which the rows are individual network traffics, and the columns, separated by a space, are characteristics of the traffics. In this example, the first column is a session index of each connection and the second column is the date when the connection occurred. In this chapter, we will discuss some fundamental key features of variables and network data. We will present detailed discussions on variable characteristics and distributions in Sections Random Variables and Variables Distributions, and describe network data modules in Section Network Data Modules. The material covered in this chapter will help readers who do not have a solid background in this area gain an understanding of the basic concepts of variables and data. Additional information can be found from Introduction to the Practice of Statistics by Moore and McCabe (1998).


Author(s):  
Uskali Mäki

The special challenge the philosophy of economics must meet is to provide a scientific realist account that is realistic of a discipline that deals with a complex subject matter and operates with highly unrealistic models. Unrealisticness in economic models must not constitute an obstacle to realism about those models. This article gives a selective and somewhat abstract summary of its author's thinking about economics, outlined from two perspectives: first historical and autobiographical, then systematic and comparative. The first angle helps understand motives and trajectories of ideas against their backgrounds in intellectual history. The story of this article turns out to have both unique and generalizable aspects. The second approach outlines some of the key concepts and arguments as well as their interrelations in this chapter's philosophy of economics, with occasional comparisons to other views. More space is devoted to this second perspective than to the first.


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