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1
Accounting for financial instruments : a guide to valuation and risk management / Emanuel Camilleri; Roxanne Camilleri
London ; New York : Routledge, Taylor & Francis Group, 2017.
xxv, 412 pages. ; 24 cm.
Ký hiệu phân loại (DDC): 657.8
Accounting for Financial Instruments is about the accounting and regulatory framework associated with the acquisition and disposal of financial instruments; how to determine their value; how to manage the risk connected with them; and ultimately compile a business valuation report.
Số bản sách: (1) Tài liệu số: (0)
2
Analytical corporate finance / Angelo Corelli
Cham, Switzerland : Springer, 2018
511 pages. : illustrations
Ký hiệu phân loại (DDC): 658.15
This book draws readers' attention to the financial aspects of daily life at a corporation by combining a robust mathematical setting and the explanation and derivation of the most popular models of the firm. Intended for third-year undergraduate students of business finance, quantitative finance, and financial mathematics, as well as first-year postgraduate students, it is based on the twin pillars of theory and analytics, which merge in a way that makes it easy for students to understand the exact meaning of the concepts and their representation and applicability in real-world contexts. Examples are given throughout the chapters in order to clarify the most intricate aspects; where needed, there are appendices at the end of chapters, offering additional mathematical insights into specific topics. Due to the recent growth in knowledge demand in the private sector, practitioners can also profit from the book as a bridge-builder between university and industry. Lastly, the book provides useful information for managers who want to deepen their understanding of risk management and come to recognize what may have been lacking in their own systems.
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3
Applied quantitative finance. / Wolfgang Härdle; Cathy Yi-Hsuan Chen; Ludger Overbeck
Berlin, Germany : Springer, 2017
369 pages : illustrations
Ký hiệu phân loại (DDC): 332.015118
This volume provides practical solutions and introduces recent theoretical developments in risk management, pricing of credit derivatives, quantification of volatility and copula modeling. This third edition is devoted to modern risk analysis based on quantitative methods and textual analytics to meet the current challenges in banking and finance. It includes 14 new contributions and presents a comprehensive, state-of-the-art treatment of cutting-edge methods and topics, such as collateralized debt obligations, the high-frequency analysis of market liquidity, and realized volatility. The book is divided into three parts: Part 1 revisits important market risk issues, while Part 2 introduces novel concepts in credit risk and its management along with updated quantitative methods. The third part discusses the dynamics of risk management and includes risk analysis of energy markets and for cryptocurrencies. Digital assets, such as blockchain-based currencies, have become popular b ut are theoretically challenging when based on conventional methods. Among others, it introduces a modern text-mining method called dynamic topic modeling in detail and applies it to the message board of Bitcoins. The unique synthesis of theory and practice supported by computational tools is reflected not only in the selection of topics, but also in the fine balance of scientific contributions on practical implementation and theoretical concepts. This link between theory and practice offers theoreticians insights into considerations of applicability and, vice versa, provides practitioners convenient access to new techniques in quantitative finance. Hence the book will appeal both to researchers, including master and PhD students, and practitioners, such as financial engineers. The results presented in the book are fully reproducible and all quantlets needed for calculations are provided on an accompanying website. The Quantlet platform quantlet.de, quantlet.c om, quantlet.org is an integrated QuantNet environment consisting of different types of statistics-related documents and program codes. Its goal is to promote reproducibility and offer a platform for sharing validated knowledge native to the social web. QuantNet and the corresponding Data-Driven Documents-based visualization allows readers to reproduce the tables, pictures and calculations inside this Springer book
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4
Biorisk management:laboratory biosecurity guidance / World Health Organization
Geneva, Switzerland : World Health Organization, 2006
41 p. ; cm.
Ký hiệu phân loại (DDC): 610
Số bản sách: (0) Tài liệu số: (1)
5
CEO và quản trị rủi ro /Đặng Đức Thành chủ biên ... [và những người khác]
Hà Nội :Thanh niên,2011
164 tr. ;24 cm.
Ký hiệu phân loại (DDC): 658.155
Trình bày mối quan hệ tương tác giữa CEO và quản trị rủi ro trong nền kinh tế biến động. Đồng thời nêu lên một số rủi ro và các thất bại trong quản lý rủi ro thường gặp và cách phòng tránh.
Số bản sách: (4) Tài liệu số: (0)